{
"cells": [
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" AT | \n",
" AP | \n",
" AH | \n",
" AFDP | \n",
" GTEP | \n",
" TIT | \n",
" TAT | \n",
" TEY | \n",
" CDP | \n",
" CO | \n",
" NOX | \n",
"
\n",
" \n",
" \n",
" \n",
" 1 | \n",
" 4.5878 | \n",
" 1018.7 | \n",
" 83.675 | \n",
" 3.5758 | \n",
" 23.979 | \n",
" 1086.2 | \n",
" 549.83 | \n",
" 134.67 | \n",
" 11.898 | \n",
" 0.32663 | \n",
" 81.952 | \n",
"
\n",
" \n",
" 2 | \n",
" 4.2932 | \n",
" 1018.3 | \n",
" 84.235 | \n",
" 3.5709 | \n",
" 23.951 | \n",
" 1086.1 | \n",
" 550.05 | \n",
" 134.67 | \n",
" 11.892 | \n",
" 0.44784 | \n",
" 82.377 | \n",
"
\n",
" \n",
" 3 | \n",
" 3.9045 | \n",
" 1018.4 | \n",
" 84.858 | \n",
" 3.5828 | \n",
" 23.990 | \n",
" 1086.5 | \n",
" 550.19 | \n",
" 135.10 | \n",
" 12.042 | \n",
" 0.45144 | \n",
" 83.776 | \n",
"
\n",
" \n",
" 4 | \n",
" 3.7436 | \n",
" 1018.3 | \n",
" 85.434 | \n",
" 3.5808 | \n",
" 23.911 | \n",
" 1086.5 | \n",
" 550.17 | \n",
" 135.03 | \n",
" 11.990 | \n",
" 0.23107 | \n",
" 82.505 | \n",
"
\n",
" \n",
" 5 | \n",
" 3.7516 | \n",
" 1017.8 | \n",
" 85.182 | \n",
" 3.5781 | \n",
" 23.917 | \n",
" 1085.9 | \n",
" 550.00 | \n",
" 134.67 | \n",
" 11.910 | \n",
" 0.26747 | \n",
" 82.028 | \n",
"
\n",
" \n",
" ... | \n",
" ... | \n",
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" ... | \n",
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\n",
" \n",
" 36729 | \n",
" 3.6268 | \n",
" 1028.5 | \n",
" 93.200 | \n",
" 3.1661 | \n",
" 19.087 | \n",
" 1037.0 | \n",
" 541.59 | \n",
" 109.08 | \n",
" 10.411 | \n",
" 10.99300 | \n",
" 89.172 | \n",
"
\n",
" \n",
" 36730 | \n",
" 4.1674 | \n",
" 1028.6 | \n",
" 94.036 | \n",
" 3.1923 | \n",
" 19.016 | \n",
" 1037.6 | \n",
" 542.28 | \n",
" 108.79 | \n",
" 10.344 | \n",
" 11.14400 | \n",
" 88.849 | \n",
"
\n",
" \n",
" 36731 | \n",
" 5.4820 | \n",
" 1028.5 | \n",
" 95.219 | \n",
" 3.3128 | \n",
" 18.857 | \n",
" 1038.0 | \n",
" 543.48 | \n",
" 107.81 | \n",
" 10.462 | \n",
" 11.41400 | \n",
" 96.147 | \n",
"
\n",
" \n",
" 36732 | \n",
" 5.8837 | \n",
" 1028.7 | \n",
" 94.200 | \n",
" 3.9831 | \n",
" 23.563 | \n",
" 1076.9 | \n",
" 550.11 | \n",
" 131.41 | \n",
" 11.771 | \n",
" 3.31340 | \n",
" 64.738 | \n",
"
\n",
" \n",
" 36733 | \n",
" 6.0392 | \n",
" 1028.8 | \n",
" 94.547 | \n",
" 3.8752 | \n",
" 22.524 | \n",
" 1067.9 | \n",
" 548.23 | \n",
" 125.41 | \n",
" 11.462 | \n",
" 11.98100 | \n",
" 109.240 | \n",
"
\n",
" \n",
"
\n",
"
36733 rows × 11 columns
\n",
"
"
],
"text/plain": [
" AT AP AH AFDP GTEP TIT TAT TEY CDP \\\n",
"1 4.5878 1018.7 83.675 3.5758 23.979 1086.2 549.83 134.67 11.898 \n",
"2 4.2932 1018.3 84.235 3.5709 23.951 1086.1 550.05 134.67 11.892 \n",
"3 3.9045 1018.4 84.858 3.5828 23.990 1086.5 550.19 135.10 12.042 \n",
"4 3.7436 1018.3 85.434 3.5808 23.911 1086.5 550.17 135.03 11.990 \n",
"5 3.7516 1017.8 85.182 3.5781 23.917 1085.9 550.00 134.67 11.910 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"36729 3.6268 1028.5 93.200 3.1661 19.087 1037.0 541.59 109.08 10.411 \n",
"36730 4.1674 1028.6 94.036 3.1923 19.016 1037.6 542.28 108.79 10.344 \n",
"36731 5.4820 1028.5 95.219 3.3128 18.857 1038.0 543.48 107.81 10.462 \n",
"36732 5.8837 1028.7 94.200 3.9831 23.563 1076.9 550.11 131.41 11.771 \n",
"36733 6.0392 1028.8 94.547 3.8752 22.524 1067.9 548.23 125.41 11.462 \n",
"\n",
" CO NOX \n",
"1 0.32663 81.952 \n",
"2 0.44784 82.377 \n",
"3 0.45144 83.776 \n",
"4 0.23107 82.505 \n",
"5 0.26747 82.028 \n",
"... ... ... \n",
"36729 10.99300 89.172 \n",
"36730 11.14400 88.849 \n",
"36731 11.41400 96.147 \n",
"36732 3.31340 64.738 \n",
"36733 11.98100 109.240 \n",
"\n",
"[36733 rows x 11 columns]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"data = pd.read_csv(\"data-turbine/gt_full.csv\", index_col=0)\n",
"\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" count | \n",
" mean | \n",
" std | \n",
" min | \n",
" 25% | \n",
" 50% | \n",
" 75% | \n",
" max | \n",
"
\n",
" \n",
" \n",
" \n",
" AT | \n",
" 36733.0 | \n",
" 17.712726 | \n",
" 7.447451 | \n",
" -6.234800 | \n",
" 11.7810 | \n",
" 17.8010 | \n",
" 23.6650 | \n",
" 37.1030 | \n",
"
\n",
" \n",
" AP | \n",
" 36733.0 | \n",
" 1013.070165 | \n",
" 6.463346 | \n",
" 985.850000 | \n",
" 1008.8000 | \n",
" 1012.6000 | \n",
" 1017.0000 | \n",
" 1036.6000 | \n",
"
\n",
" \n",
" AH | \n",
" 36733.0 | \n",
" 77.867015 | \n",
" 14.461355 | \n",
" 24.085000 | \n",
" 68.1880 | \n",
" 80.4700 | \n",
" 89.3760 | \n",
" 100.2000 | \n",
"
\n",
" \n",
" AFDP | \n",
" 36733.0 | \n",
" 3.925518 | \n",
" 0.773936 | \n",
" 2.087400 | \n",
" 3.3556 | \n",
" 3.9377 | \n",
" 4.3769 | \n",
" 7.6106 | \n",
"
\n",
" \n",
" GTEP | \n",
" 36733.0 | \n",
" 25.563801 | \n",
" 4.195957 | \n",
" 17.698000 | \n",
" 23.1290 | \n",
" 25.1040 | \n",
" 29.0610 | \n",
" 40.7160 | \n",
"
\n",
" \n",
" TIT | \n",
" 36733.0 | \n",
" 1081.428084 | \n",
" 17.536373 | \n",
" 1000.800000 | \n",
" 1071.8000 | \n",
" 1085.9000 | \n",
" 1097.0000 | \n",
" 1100.9000 | \n",
"
\n",
" \n",
" TAT | \n",
" 36733.0 | \n",
" 546.158517 | \n",
" 6.842360 | \n",
" 511.040000 | \n",
" 544.7200 | \n",
" 549.8800 | \n",
" 550.0400 | \n",
" 550.6100 | \n",
"
\n",
" \n",
" TEY | \n",
" 36733.0 | \n",
" 133.506404 | \n",
" 15.618634 | \n",
" 100.020000 | \n",
" 124.4500 | \n",
" 133.7300 | \n",
" 144.0800 | \n",
" 179.5000 | \n",
"
\n",
" \n",
" CDP | \n",
" 36733.0 | \n",
" 12.060525 | \n",
" 1.088795 | \n",
" 9.851800 | \n",
" 11.4350 | \n",
" 11.9650 | \n",
" 12.8550 | \n",
" 15.1590 | \n",
"
\n",
" \n",
" CO | \n",
" 36733.0 | \n",
" 2.372468 | \n",
" 2.262672 | \n",
" 0.000388 | \n",
" 1.1824 | \n",
" 1.7135 | \n",
" 2.8429 | \n",
" 44.1030 | \n",
"
\n",
" \n",
" NOX | \n",
" 36733.0 | \n",
" 65.293067 | \n",
" 11.678357 | \n",
" 25.905000 | \n",
" 57.1620 | \n",
" 63.8490 | \n",
" 71.5480 | \n",
" 119.9100 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" count mean std min 25% 50% \\\n",
"AT 36733.0 17.712726 7.447451 -6.234800 11.7810 17.8010 \n",
"AP 36733.0 1013.070165 6.463346 985.850000 1008.8000 1012.6000 \n",
"AH 36733.0 77.867015 14.461355 24.085000 68.1880 80.4700 \n",
"AFDP 36733.0 3.925518 0.773936 2.087400 3.3556 3.9377 \n",
"GTEP 36733.0 25.563801 4.195957 17.698000 23.1290 25.1040 \n",
"TIT 36733.0 1081.428084 17.536373 1000.800000 1071.8000 1085.9000 \n",
"TAT 36733.0 546.158517 6.842360 511.040000 544.7200 549.8800 \n",
"TEY 36733.0 133.506404 15.618634 100.020000 124.4500 133.7300 \n",
"CDP 36733.0 12.060525 1.088795 9.851800 11.4350 11.9650 \n",
"CO 36733.0 2.372468 2.262672 0.000388 1.1824 1.7135 \n",
"NOX 36733.0 65.293067 11.678357 25.905000 57.1620 63.8490 \n",
"\n",
" 75% max \n",
"AT 23.6650 37.1030 \n",
"AP 1017.0000 1036.6000 \n",
"AH 89.3760 100.2000 \n",
"AFDP 4.3769 7.6106 \n",
"GTEP 29.0610 40.7160 \n",
"TIT 1097.0000 1100.9000 \n",
"TAT 550.0400 550.6100 \n",
"TEY 144.0800 179.5000 \n",
"CDP 12.8550 15.1590 \n",
"CO 2.8429 44.1030 \n",
"NOX 71.5480 119.9100 "
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.describe().transpose()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"\n",
"sns.heatmap(data.corr(), annot=True)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" AT | \n",
" AP | \n",
" AH | \n",
" AFDP | \n",
" TIT | \n",
" TAT | \n",
" NOX | \n",
"
\n",
" \n",
" \n",
" \n",
" 1 | \n",
" 4.5878 | \n",
" 1018.7 | \n",
" 83.675 | \n",
" 3.5758 | \n",
" 1086.2 | \n",
" 549.83 | \n",
" 81.952 | \n",
"
\n",
" \n",
" 2 | \n",
" 4.2932 | \n",
" 1018.3 | \n",
" 84.235 | \n",
" 3.5709 | \n",
" 1086.1 | \n",
" 550.05 | \n",
" 82.377 | \n",
"
\n",
" \n",
" 3 | \n",
" 3.9045 | \n",
" 1018.4 | \n",
" 84.858 | \n",
" 3.5828 | \n",
" 1086.5 | \n",
" 550.19 | \n",
" 83.776 | \n",
"
\n",
" \n",
" 4 | \n",
" 3.7436 | \n",
" 1018.3 | \n",
" 85.434 | \n",
" 3.5808 | \n",
" 1086.5 | \n",
" 550.17 | \n",
" 82.505 | \n",
"
\n",
" \n",
" 5 | \n",
" 3.7516 | \n",
" 1017.8 | \n",
" 85.182 | \n",
" 3.5781 | \n",
" 1085.9 | \n",
" 550.00 | \n",
" 82.028 | \n",
"
\n",
" \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
"
\n",
" \n",
" 36729 | \n",
" 3.6268 | \n",
" 1028.5 | \n",
" 93.200 | \n",
" 3.1661 | \n",
" 1037.0 | \n",
" 541.59 | \n",
" 89.172 | \n",
"
\n",
" \n",
" 36730 | \n",
" 4.1674 | \n",
" 1028.6 | \n",
" 94.036 | \n",
" 3.1923 | \n",
" 1037.6 | \n",
" 542.28 | \n",
" 88.849 | \n",
"
\n",
" \n",
" 36731 | \n",
" 5.4820 | \n",
" 1028.5 | \n",
" 95.219 | \n",
" 3.3128 | \n",
" 1038.0 | \n",
" 543.48 | \n",
" 96.147 | \n",
"
\n",
" \n",
" 36732 | \n",
" 5.8837 | \n",
" 1028.7 | \n",
" 94.200 | \n",
" 3.9831 | \n",
" 1076.9 | \n",
" 550.11 | \n",
" 64.738 | \n",
"
\n",
" \n",
" 36733 | \n",
" 6.0392 | \n",
" 1028.8 | \n",
" 94.547 | \n",
" 3.8752 | \n",
" 1067.9 | \n",
" 548.23 | \n",
" 109.240 | \n",
"
\n",
" \n",
"
\n",
"
36733 rows × 7 columns
\n",
"
"
],
"text/plain": [
" AT AP AH AFDP TIT TAT NOX\n",
"1 4.5878 1018.7 83.675 3.5758 1086.2 549.83 81.952\n",
"2 4.2932 1018.3 84.235 3.5709 1086.1 550.05 82.377\n",
"3 3.9045 1018.4 84.858 3.5828 1086.5 550.19 83.776\n",
"4 3.7436 1018.3 85.434 3.5808 1086.5 550.17 82.505\n",
"5 3.7516 1017.8 85.182 3.5781 1085.9 550.00 82.028\n",
"... ... ... ... ... ... ... ...\n",
"36729 3.6268 1028.5 93.200 3.1661 1037.0 541.59 89.172\n",
"36730 4.1674 1028.6 94.036 3.1923 1037.6 542.28 88.849\n",
"36731 5.4820 1028.5 95.219 3.3128 1038.0 543.48 96.147\n",
"36732 5.8837 1028.7 94.200 3.9831 1076.9 550.11 64.738\n",
"36733 6.0392 1028.8 94.547 3.8752 1067.9 548.23 109.240\n",
"\n",
"[36733 rows x 7 columns]"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.drop([\"GTEP\", \"TEY\", \"CDP\", \"CO\"], axis=1, inplace=True)\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.heatmap(data.corr(), annot=True)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" AT | \n",
" AP | \n",
" AH | \n",
" AFDP | \n",
" TIT | \n",
" TAT | \n",
"
\n",
" \n",
" \n",
" \n",
" 4481 | \n",
" 26.6350 | \n",
" 1009.7 | \n",
" 83.256 | \n",
" 4.4137 | \n",
" 1100.0 | \n",
" 540.65 | \n",
"
\n",
" \n",
" 24884 | \n",
" 20.2280 | \n",
" 1016.2 | \n",
" 73.583 | \n",
" 4.6238 | \n",
" 1099.8 | \n",
" 538.53 | \n",
"
\n",
" \n",
" 21558 | \n",
" 15.6330 | \n",
" 1018.5 | \n",
" 81.089 | \n",
" 4.0899 | \n",
" 1100.0 | \n",
" 534.04 | \n",
"
\n",
" \n",
" 1706 | \n",
" 16.6540 | \n",
" 1020.2 | \n",
" 64.757 | \n",
" 4.5755 | \n",
" 1086.6 | \n",
" 549.76 | \n",
"
\n",
" \n",
" 21389 | \n",
" 21.0020 | \n",
" 1004.3 | \n",
" 75.645 | \n",
" 4.1101 | \n",
" 1100.0 | \n",
" 534.21 | \n",
"
\n",
" \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
"
\n",
" \n",
" 25726 | \n",
" 17.5190 | \n",
" 1015.9 | \n",
" 85.663 | \n",
" 3.6809 | \n",
" 1072.2 | \n",
" 549.82 | \n",
"
\n",
" \n",
" 5015 | \n",
" 21.9780 | \n",
" 1014.4 | \n",
" 75.280 | \n",
" 3.1246 | \n",
" 1058.0 | \n",
" 549.86 | \n",
"
\n",
" \n",
" 22585 | \n",
" 4.7103 | \n",
" 1003.0 | \n",
" 92.874 | \n",
" 3.2741 | \n",
" 1067.2 | \n",
" 550.15 | \n",
"
\n",
" \n",
" 502 | \n",
" 6.7758 | \n",
" 1008.3 | \n",
" 93.029 | \n",
" 5.1192 | \n",
" 1099.9 | \n",
" 524.78 | \n",
"
\n",
" \n",
" 20829 | \n",
" 17.6730 | \n",
" 1020.7 | \n",
" 88.840 | \n",
" 3.0370 | \n",
" 1079.9 | \n",
" 550.02 | \n",
"
\n",
" \n",
"
\n",
"
29386 rows × 6 columns
\n",
"
"
],
"text/plain": [
" AT AP AH AFDP TIT TAT\n",
"4481 26.6350 1009.7 83.256 4.4137 1100.0 540.65\n",
"24884 20.2280 1016.2 73.583 4.6238 1099.8 538.53\n",
"21558 15.6330 1018.5 81.089 4.0899 1100.0 534.04\n",
"1706 16.6540 1020.2 64.757 4.5755 1086.6 549.76\n",
"21389 21.0020 1004.3 75.645 4.1101 1100.0 534.21\n",
"... ... ... ... ... ... ...\n",
"25726 17.5190 1015.9 85.663 3.6809 1072.2 549.82\n",
"5015 21.9780 1014.4 75.280 3.1246 1058.0 549.86\n",
"22585 4.7103 1003.0 92.874 3.2741 1067.2 550.15\n",
"502 6.7758 1008.3 93.029 5.1192 1099.9 524.78\n",
"20829 17.6730 1020.7 88.840 3.0370 1079.9 550.02\n",
"\n",
"[29386 rows x 6 columns]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"4481 52.970\n",
"24884 58.801\n",
"21558 78.066\n",
"1706 73.955\n",
"21389 79.989\n",
" ... \n",
"25726 53.424\n",
"5015 58.462\n",
"22585 65.275\n",
"502 65.469\n",
"20829 77.008\n",
"Name: NOX, Length: 29386, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" AT | \n",
" AP | \n",
" AH | \n",
" AFDP | \n",
" TIT | \n",
" TAT | \n",
"
\n",
" \n",
" \n",
" \n",
" 18247 | \n",
" 23.4530 | \n",
" 1006.2 | \n",
" 84.837 | \n",
" 3.7535 | \n",
" 1088.7 | \n",
" 550.39 | \n",
"
\n",
" \n",
" 20344 | \n",
" 28.7090 | \n",
" 1011.2 | \n",
" 59.574 | \n",
" 6.0321 | \n",
" 1100.0 | \n",
" 542.01 | \n",
"
\n",
" \n",
" 2925 | \n",
" 21.8330 | \n",
" 1017.0 | \n",
" 81.262 | \n",
" 3.9663 | \n",
" 1092.9 | \n",
" 544.91 | \n",
"
\n",
" \n",
" 118 | \n",
" 7.8167 | \n",
" 1022.2 | \n",
" 88.135 | \n",
" 4.6605 | \n",
" 1100.0 | \n",
" 526.21 | \n",
"
\n",
" \n",
" 5714 | \n",
" 19.9120 | \n",
" 1013.1 | \n",
" 86.846 | \n",
" 3.6710 | \n",
" 1080.2 | \n",
" 550.25 | \n",
"
\n",
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" ... | \n",
" ... | \n",
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" ... | \n",
" ... | \n",
" ... | \n",
"
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" \n",
" 21918 | \n",
" 9.5791 | \n",
" 1017.5 | \n",
" 75.935 | \n",
" 2.9617 | \n",
" 1081.1 | \n",
" 549.66 | \n",
"
\n",
" \n",
" 13100 | \n",
" 22.6150 | \n",
" 1012.1 | \n",
" 78.314 | \n",
" 4.2739 | \n",
" 1089.8 | \n",
" 550.37 | \n",
"
\n",
" \n",
" 26705 | \n",
" 28.4020 | \n",
" 1004.4 | \n",
" 79.478 | \n",
" 4.0643 | \n",
" 1073.0 | \n",
" 550.19 | \n",
"
\n",
" \n",
" 4183 | \n",
" 31.7400 | \n",
" 1012.2 | \n",
" 41.623 | \n",
" 4.5323 | \n",
" 1100.2 | \n",
" 539.10 | \n",
"
\n",
" \n",
" 2983 | \n",
" 23.7130 | \n",
" 1013.5 | \n",
" 69.233 | \n",
" 3.7112 | \n",
" 1091.6 | \n",
" 549.98 | \n",
"
\n",
" \n",
"
\n",
"
7347 rows × 6 columns
\n",
"
"
],
"text/plain": [
" AT AP AH AFDP TIT TAT\n",
"18247 23.4530 1006.2 84.837 3.7535 1088.7 550.39\n",
"20344 28.7090 1011.2 59.574 6.0321 1100.0 542.01\n",
"2925 21.8330 1017.0 81.262 3.9663 1092.9 544.91\n",
"118 7.8167 1022.2 88.135 4.6605 1100.0 526.21\n",
"5714 19.9120 1013.1 86.846 3.6710 1080.2 550.25\n",
"... ... ... ... ... ... ...\n",
"21918 9.5791 1017.5 75.935 2.9617 1081.1 549.66\n",
"13100 22.6150 1012.1 78.314 4.2739 1089.8 550.37\n",
"26705 28.4020 1004.4 79.478 4.0643 1073.0 550.19\n",
"4183 31.7400 1012.2 41.623 4.5323 1100.2 539.10\n",
"2983 23.7130 1013.5 69.233 3.7112 1091.6 549.98\n",
"\n",
"[7347 rows x 6 columns]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"18247 58.948\n",
"20344 62.909\n",
"2925 61.083\n",
"118 66.369\n",
"5714 56.675\n",
" ... \n",
"21918 71.316\n",
"13100 63.308\n",
"26705 49.210\n",
"4183 59.452\n",
"2983 66.807\n",
"Name: NOX, Length: 7347, dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.model_selection import train_test_split\n",
"\n",
"random_state = 9\n",
"\n",
"y = data[\"NOX\"]\n",
"X = data.drop([\"NOX\"], axis=1).copy()\n",
"X_train, X_test, y_train, y_test = train_test_split(\n",
" X, y, test_size=0.2, random_state=random_state\n",
")\n",
"display(X_train, y_train, X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.preprocessing import PolynomialFeatures\n",
"from sklearn import linear_model, tree, neighbors, ensemble\n",
"\n",
"models = {\n",
" \"linear\": {\"model\": linear_model.LinearRegression(n_jobs=-1)},\n",
" \"linear_poly\": {\n",
" \"model\": make_pipeline(\n",
" PolynomialFeatures(degree=2),\n",
" linear_model.LinearRegression(fit_intercept=False, n_jobs=-1),\n",
" )\n",
" },\n",
" \"linear_interact\": {\n",
" \"model\": make_pipeline(\n",
" PolynomialFeatures(interaction_only=True),\n",
" linear_model.LinearRegression(fit_intercept=False, n_jobs=-1),\n",
" )\n",
" },\n",
" \"ridge\": {\"model\": linear_model.RidgeCV()},\n",
" \"decision_tree\": {\n",
" \"model\": tree.DecisionTreeRegressor(max_depth=7, random_state=random_state)\n",
" },\n",
" \"knn\": {\"model\": neighbors.KNeighborsRegressor(n_neighbors=7, n_jobs=-1)},\n",
" \"random_forest\": {\n",
" \"model\": ensemble.RandomForestRegressor(\n",
" max_depth=7, random_state=random_state, n_jobs=-1\n",
" )\n",
" },\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model: linear\n",
"Model: linear_poly\n",
"Model: linear_interact\n",
"Model: ridge\n",
"Model: decision_tree\n",
"Model: knn\n",
"Model: random_forest\n"
]
}
],
"source": [
"import math\n",
"from sklearn import metrics\n",
"\n",
"for model_name in models.keys():\n",
" print(f\"Model: {model_name}\")\n",
" fitted_model = models[model_name][\"model\"].fit(\n",
" X_train.values, y_train.values.ravel()\n",
" )\n",
" y_train_pred = fitted_model.predict(X_train.values)\n",
" y_test_pred = fitted_model.predict(X_test.values)\n",
" models[model_name][\"fitted\"] = fitted_model\n",
" models[model_name][\"train_preds\"] = y_train_pred\n",
" models[model_name][\"preds\"] = y_test_pred\n",
" models[model_name][\"RMSE_train\"] = math.sqrt(\n",
" metrics.mean_squared_error(y_train, y_train_pred)\n",
" )\n",
" models[model_name][\"RMSE_test\"] = math.sqrt(\n",
" metrics.mean_squared_error(y_test, y_test_pred)\n",
" )\n",
" models[model_name][\"RMAE_test\"] = math.sqrt(\n",
" metrics.mean_absolute_error(y_test, y_test_pred)\n",
" )\n",
" models[model_name][\"R2_test\"] = metrics.r2_score(y_test, y_test_pred)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
" \n",
" \n",
" | \n",
" RMSE_train | \n",
" RMSE_test | \n",
" RMAE_test | \n",
" R2_test | \n",
"
\n",
" \n",
" \n",
" \n",
" knn | \n",
" 5.081753 | \n",
" 5.810993 | \n",
" 1.986071 | \n",
" 0.758582 | \n",
"
\n",
" \n",
" random_forest | \n",
" 5.986172 | \n",
" 6.150479 | \n",
" 2.101793 | \n",
" 0.729550 | \n",
"
\n",
" \n",
" decision_tree | \n",
" 6.379844 | \n",
" 6.633216 | \n",
" 2.183968 | \n",
" 0.685430 | \n",
"
\n",
" \n",
" linear_poly | \n",
" 7.368145 | \n",
" 7.303055 | \n",
" 2.334095 | \n",
" 0.618690 | \n",
"
\n",
" \n",
" linear_interact | \n",
" 7.577778 | \n",
" 7.488812 | \n",
" 2.364778 | \n",
" 0.599046 | \n",
"
\n",
" \n",
" ridge | \n",
" 9.377107 | \n",
" 9.450065 | \n",
" 2.691247 | \n",
" 0.361533 | \n",
"
\n",
" \n",
" linear | \n",
" 9.377107 | \n",
" 9.450082 | \n",
" 2.691239 | \n",
" 0.361531 | \n",
"
\n",
" \n",
"
\n"
],
"text/plain": [
""
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"reg_metrics = pd.DataFrame.from_dict(models, \"index\")[\n",
" [\"RMSE_train\", \"RMSE_test\", \"RMAE_test\", \"R2_test\"]\n",
"]\n",
"reg_metrics.sort_values(by=\"RMSE_test\").style.background_gradient(\n",
" cmap=\"viridis\", low=1, high=0.3, subset=[\"RMSE_train\", \"RMSE_test\"]\n",
").background_gradient(cmap=\"plasma\", low=0.3, high=1, subset=[\"RMAE_test\", \"R2_test\"])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/numpy/ma/core.py:2881: RuntimeWarning: invalid value encountered in cast\n",
" _data = np.array(data, dtype=dtype, copy=copy,\n"
]
},
{
"data": {
"text/plain": [
"{'criterion': 'poisson', 'max_depth': 11, 'min_samples_split': 8}"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"from sklearn import model_selection\n",
"\n",
"parameters = {\n",
" \"criterion\": [\"squared_error\", \"absolute_error\", \"friedman_mse\", \"poisson\"],\n",
" \"max_depth\": np.arange(1, 21).tolist()[0::2],\n",
" \"min_samples_split\": np.arange(2, 11).tolist()[0::2],\n",
"}\n",
"\n",
"grid = model_selection.GridSearchCV(\n",
" tree.DecisionTreeRegressor(random_state=random_state), parameters, cv=5, n_jobs=-1, scoring=\"r2\"\n",
")\n",
"\n",
"grid.fit(X_train, y_train)\n",
"grid.best_params_"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'RMSE_test': 6.63321600002822,\n",
" 'RMAE_test': 2.1839683876272664,\n",
" 'R2_test': 0.6854303333309218}"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"{'RMSE_test': 5.9065521715505875,\n",
" 'RMAE_test': 1.9876586934238047,\n",
" 'R2_test': 0.7505769120700204}"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model = grid.best_estimator_\n",
"y_pred = model.predict(X_test)\n",
"old_metrics = {\n",
" \"RMSE_test\": models[\"decision_tree\"][\"RMSE_test\"],\n",
" \"RMAE_test\": models[\"decision_tree\"][\"RMAE_test\"],\n",
" \"R2_test\": models[\"decision_tree\"][\"R2_test\"],\n",
"}\n",
"new_metrics = {}\n",
"new_metrics[\"RMSE_test\"] = math.sqrt(metrics.mean_squared_error(y_test, y_pred))\n",
"new_metrics[\"RMAE_test\"] = math.sqrt(\n",
" metrics.mean_absolute_error(y_test, y_pred)\n",
")\n",
"new_metrics[\"R2_test\"] = metrics.r2_score(y_test, y_pred)\n",
"\n",
"display(old_metrics)\n",
"display(new_metrics)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|--- AT <= 16.96\n",
"| |--- TIT <= 1042.85\n",
"| | |--- TAT <= 541.98\n",
"| | | |--- TAT <= 537.80\n",
"| | | | |--- AFDP <= 3.44\n",
"| | | | | |--- AFDP <= 2.37\n",
"| | | | | | |--- AH <= 78.35\n",
"| | | | | | | |--- value: [103.29]\n",
"| | | | | | |--- AH > 78.35\n",
"| | | | | | | |--- AT <= 9.05\n",
"| | | | | | | | |--- value: [92.40]\n",
"| | | | | | | |--- AT > 9.05\n",
"| | | | | | | | |--- value: [82.97]\n",
"| | | | | |--- AFDP > 2.37\n",
"| | | | | | |--- TAT <= 511.82\n",
"| | | | | | | |--- value: [66.00]\n",
"| | | | | | |--- TAT > 511.82\n",
"| | | | | | | |--- AFDP <= 3.08\n",
"| | | | | | | | |--- AFDP <= 2.70\n",
"| | | | | | | | | |--- AT <= 13.58\n",
"| | | | | | | | | | |--- AH <= 93.59\n",
"| | | | | | | | | | | |--- value: [111.42]\n",
"| | | | | | | | | | |--- AH > 93.59\n",
"| | | | | | | | | | | |--- value: [104.23]\n",
"| | | | | | | | | |--- AT > 13.58\n",
"| | | | | | | | | | |--- value: [96.55]\n",
"| | | | | | | | |--- AFDP > 2.70\n",
"| | | | | | | | | |--- TAT <= 529.48\n",
"| | | | | | | | | | |--- value: [115.35]\n",
"| | | | | | | | | |--- TAT > 529.48\n",
"| | | | | | | | | | |--- AT <= 13.87\n",
"| | | | | | | | | | | |--- value: [91.44]\n",
"| | | | | | | | | | |--- AT > 13.87\n",
"| | | | | | | | | | | |--- value: [107.64]\n",
"| | | | | | | |--- AFDP > 3.08\n",
"| | | | | | | | |--- TIT <= 1036.65\n",
"| | | | | | | | | |--- TIT <= 1027.05\n",
"| | | | | | | | | | |--- AT <= 9.39\n",
"| | | | | | | | | | | |--- value: [119.05]\n",
"| | | | | | | | | | |--- AT > 9.39\n",
"| | | | | | | | | | | |--- value: [115.07]\n",
"| | | | | | | | | |--- TIT > 1027.05\n",
"| | | | | | | | | | |--- TIT <= 1033.45\n",
"| | | | | | | | | | | |--- value: [110.17]\n",
"| | | | | | | | | | |--- TIT > 1033.45\n",
"| | | | | | | | | | | |--- value: [117.52]\n",
"| | | | | | | | |--- TIT > 1036.65\n",
"| | | | | | | | | |--- AT <= 9.36\n",
"| | | | | | | | | | |--- value: [106.68]\n",
"| | | | | | | | | |--- AT > 9.36\n",
"| | | | | | | | | | |--- value: [96.80]\n",
"| | | | |--- AFDP > 3.44\n",
"| | | | | |--- AT <= 12.15\n",
"| | | | | | |--- AT <= 4.38\n",
"| | | | | | | |--- AFDP <= 3.46\n",
"| | | | | | | | |--- value: [94.21]\n",
"| | | | | | | |--- AFDP > 3.46\n",
"| | | | | | | | |--- TAT <= 533.27\n",
"| | | | | | | | | |--- TIT <= 1027.75\n",
"| | | | | | | | | | |--- value: [112.43]\n",
"| | | | | | | | | |--- TIT > 1027.75\n",
"| | | | | | | | | | |--- AT <= 0.75\n",
"| | | | | | | | | | | |--- value: [100.12]\n",
"| | | | | | | | | | |--- AT > 0.75\n",
"| | | | | | | | | | | |--- value: [105.08]\n",
"| | | | | | | | |--- TAT > 533.27\n",
"| | | | | | | | | |--- value: [114.08]\n",
"| | | | | | |--- AT > 4.38\n",
"| | | | | | | |--- TIT <= 1029.95\n",
"| | | | | | | | |--- TAT <= 529.15\n",
"| | | | | | | | | |--- value: [102.24]\n",
"| | | | | | | | |--- TAT > 529.15\n",
"| | | | | | | | | |--- value: [113.33]\n",
"| | | | | | | |--- TIT > 1029.95\n",
"| | | | | | | | |--- AP <= 1016.55\n",
"| | | | | | | | | |--- TAT <= 536.96\n",
"| | | | | | | | | | |--- value: [96.22]\n",
"| | | | | | | | | |--- TAT > 536.96\n",
"| | | | | | | | | | |--- value: [90.93]\n",
"| | | | | | | | |--- AP > 1016.55\n",
"| | | | | | | | | |--- AP <= 1030.30\n",
"| | | | | | | | | | |--- AT <= 10.38\n",
"| | | | | | | | | | | |--- value: [98.43]\n",
"| | | | | | | | | | |--- AT > 10.38\n",
"| | | | | | | | | | | |--- value: [106.91]\n",
"| | | | | | | | | |--- AP > 1030.30\n",
"| | | | | | | | | | |--- value: [108.44]\n",
"| | | | | |--- AT > 12.15\n",
"| | | | | | |--- AT <= 16.38\n",
"| | | | | | | |--- value: [77.41]\n",
"| | | | | | |--- AT > 16.38\n",
"| | | | | | | |--- value: [94.66]\n",
"| | | |--- TAT > 537.80\n",
"| | | | |--- TIT <= 1033.75\n",
"| | | | | |--- AFDP <= 2.75\n",
"| | | | | | |--- TIT <= 1026.75\n",
"| | | | | | | |--- AFDP <= 2.64\n",
"| | | | | | | | |--- value: [102.78]\n",
"| | | | | | | |--- AFDP > 2.64\n",
"| | | | | | | | |--- value: [95.36]\n",
"| | | | | | |--- TIT > 1026.75\n",
"| | | | | | | |--- AP <= 1011.00\n",
"| | | | | | | | |--- value: [102.46]\n",
"| | | | | | | |--- AP > 1011.00\n",
"| | | | | | | | |--- AT <= 13.61\n",
"| | | | | | | | | |--- AT <= 7.33\n",
"| | | | | | | | | | |--- TAT <= 539.28\n",
"| | | | | | | | | | | |--- value: [94.44]\n",
"| | | | | | | | | | |--- TAT > 539.28\n",
"| | | | | | | | | | | |--- value: [89.37]\n",
"| | | | | | | | | |--- AT > 7.33\n",
"| | | | | | | | | | |--- TAT <= 541.44\n",
"| | | | | | | | | | | |--- value: [96.77]\n",
"| | | | | | | | | | |--- TAT > 541.44\n",
"| | | | | | | | | | | |--- value: [87.42]\n",
"| | | | | | | | |--- AT > 13.61\n",
"| | | | | | | | | |--- TAT <= 540.93\n",
"| | | | | | | | | | |--- value: [92.61]\n",
"| | | | | | | | | |--- TAT > 540.93\n",
"| | | | | | | | | | |--- AP <= 1022.85\n",
"| | | | | | | | | | | |--- value: [90.20]\n",
"| | | | | | | | | | |--- AP > 1022.85\n",
"| | | | | | | | | | | |--- value: [86.30]\n",
"| | | | | |--- AFDP > 2.75\n",
"| | | | | | |--- AFDP <= 3.51\n",
"| | | | | | | |--- AT <= 15.03\n",
"| | | | | | | | |--- AT <= 9.26\n",
"| | | | | | | | | |--- value: [82.06]\n",
"| | | | | | | | |--- AT > 9.26\n",
"| | | | | | | | | |--- value: [91.09]\n",
"| | | | | | | |--- AT > 15.03\n",
"| | | | | | | | |--- value: [73.71]\n",
"| | | | | | |--- AFDP > 3.51\n",
"| | | | | | | |--- value: [116.14]\n",
"| | | | |--- TIT > 1033.75\n",
"| | | | | |--- AFDP <= 4.10\n",
"| | | | | | |--- AFDP <= 2.35\n",
"| | | | | | | |--- AFDP <= 2.20\n",
"| | | | | | | | |--- value: [104.28]\n",
"| | | | | | | |--- AFDP > 2.20\n",
"| | | | | | | | |--- value: [87.11]\n",
"| | | | | | |--- AFDP > 2.35\n",
"| | | | | | | |--- AP <= 1026.80\n",
"| | | | | | | | |--- AFDP <= 2.38\n",
"| | | | | | | | | |--- value: [113.13]\n",
"| | | | | | | | |--- AFDP > 2.38\n",
"| | | | | | | | | |--- AH <= 78.91\n",
"| | | | | | | | | | |--- TAT <= 538.66\n",
"| | | | | | | | | | | |--- value: [102.22]\n",
"| | | | | | | | | | |--- TAT > 538.66\n",
"| | | | | | | | | | | |--- value: [89.02]\n",
"| | | | | | | | | |--- AH > 78.91\n",
"| | | | | | | | | | |--- AH <= 94.26\n",
"| | | | | | | | | | | |--- value: [102.24]\n",
"| | | | | | | | | | |--- AH > 94.26\n",
"| | | | | | | | | | | |--- value: [96.42]\n",
"| | | | | | | |--- AP > 1026.80\n",
"| | | | | | | | |--- value: [88.84]\n",
"| | | | | |--- AFDP > 4.10\n",
"| | | | | | |--- AH <= 93.66\n",
"| | | | | | | |--- TIT <= 1039.35\n",
"| | | | | | | | |--- value: [94.28]\n",
"| | | | | | | |--- TIT > 1039.35\n",
"| | | | | | | | |--- value: [88.71]\n",
"| | | | | | |--- AH > 93.66\n",
"| | | | | | | |--- value: [96.66]\n",
"| | |--- TAT > 541.98\n",
"| | | |--- AT <= 3.44\n",
"| | | | |--- TAT <= 543.21\n",
"| | | | | |--- value: [92.00]\n",
"| | | | |--- TAT > 543.21\n",
"| | | | | |--- value: [114.46]\n",
"| | | |--- AT > 3.44\n",
"| | | | |--- TAT <= 546.67\n",
"| | | | | |--- AH <= 99.98\n",
"| | | | | | |--- TAT <= 544.63\n",
"| | | | | | | |--- TIT <= 1039.15\n",
"| | | | | | | | |--- AFDP <= 2.54\n",
"| | | | | | | | | |--- AFDP <= 2.52\n",
"| | | | | | | | | | |--- AP <= 1021.85\n",
"| | | | | | | | | | | |--- value: [92.07]\n",
"| | | | | | | | | | |--- AP > 1021.85\n",
"| | | | | | | | | | | |--- value: [84.28]\n",
"| | | | | | | | | |--- AFDP > 2.52\n",
"| | | | | | | | | | |--- value: [109.47]\n",
"| | | | | | | | |--- AFDP > 2.54\n",
"| | | | | | | | | |--- AH <= 98.52\n",
"| | | | | | | | | | |--- AFDP <= 2.97\n",
"| | | | | | | | | | | |--- value: [85.12]\n",
"| | | | | | | | | | |--- AFDP > 2.97\n",
"| | | | | | | | | | | |--- value: [92.20]\n",
"| | | | | | | | | |--- AH > 98.52\n",
"| | | | | | | | | | |--- value: [65.27]\n",
"| | | | | | | |--- TIT > 1039.15\n",
"| | | | | | | | |--- AP <= 1019.45\n",
"| | | | | | | | | |--- TAT <= 542.35\n",
"| | | | | | | | | | |--- value: [108.97]\n",
"| | | | | | | | | |--- TAT > 542.35\n",
"| | | | | | | | | | |--- value: [95.01]\n",
"| | | | | | | | |--- AP > 1019.45\n",
"| | | | | | | | | |--- value: [87.64]\n",
"| | | | | | |--- TAT > 544.63\n",
"| | | | | | | |--- AFDP <= 3.25\n",
"| | | | | | | | |--- AH <= 97.77\n",
"| | | | | | | | | |--- AFDP <= 2.54\n",
"| | | | | | | | | | |--- AP <= 1022.70\n",
"| | | | | | | | | | | |--- value: [86.54]\n",
"| | | | | | | | | | |--- AP > 1022.70\n",
"| | | | | | | | | | | |--- value: [80.56]\n",
"| | | | | | | | | |--- AFDP > 2.54\n",
"| | | | | | | | | | |--- AH <= 84.20\n",
"| | | | | | | | | | | |--- value: [81.71]\n",
"| | | | | | | | | | |--- AH > 84.20\n",
"| | | | | | | | | | | |--- value: [76.36]\n",
"| | | | | | | | |--- AH > 97.77\n",
"| | | | | | | | | |--- value: [64.06]\n",
"| | | | | | | |--- AFDP > 3.25\n",
"| | | | | | | | |--- AH <= 88.39\n",
"| | | | | | | | | |--- value: [84.29]\n",
"| | | | | | | | |--- AH > 88.39\n",
"| | | | | | | | | |--- value: [91.92]\n",
"| | | | | |--- AH > 99.98\n",
"| | | | | | |--- value: [103.09]\n",
"| | | | |--- TAT > 546.67\n",
"| | | | | |--- TAT <= 549.32\n",
"| | | | | | |--- AH <= 95.18\n",
"| | | | | | | |--- AT <= 10.85\n",
"| | | | | | | | |--- AT <= 10.72\n",
"| | | | | | | | | |--- AH <= 92.12\n",
"| | | | | | | | | | |--- AH <= 90.78\n",
"| | | | | | | | | | | |--- value: [78.87]\n",
"| | | | | | | | | | |--- AH > 90.78\n",
"| | | | | | | | | | | |--- value: [94.49]\n",
"| | | | | | | | | |--- AH > 92.12\n",
"| | | | | | | | | | |--- value: [70.74]\n",
"| | | | | | | | |--- AT > 10.72\n",
"| | | | | | | | | |--- value: [100.45]\n",
"| | | | | | | |--- AT > 10.85\n",
"| | | | | | | | |--- AP <= 1017.75\n",
"| | | | | | | | | |--- AP <= 1001.40\n",
"| | | | | | | | | | |--- value: [60.25]\n",
"| | | | | | | | | |--- AP > 1001.40\n",
"| | | | | | | | | | |--- AH <= 66.78\n",
"| | | | | | | | | | | |--- value: [70.91]\n",
"| | | | | | | | | | |--- AH > 66.78\n",
"| | | | | | | | | | | |--- value: [76.19]\n",
"| | | | | | | | |--- AP > 1017.75\n",
"| | | | | | | | | |--- AP <= 1018.75\n",
"| | | | | | | | | | |--- value: [58.90]\n",
"| | | | | | | | | |--- AP > 1018.75\n",
"| | | | | | | | | | |--- value: [70.34]\n",
"| | | | | | |--- AH > 95.18\n",
"| | | | | | | |--- value: [88.23]\n",
"| | | | | |--- TAT > 549.32\n",
"| | | | | | |--- AT <= 15.03\n",
"| | | | | | | |--- value: [69.71]\n",
"| | | | | | |--- AT > 15.03\n",
"| | | | | | | |--- value: [61.13]\n",
"| |--- TIT > 1042.85\n",
"| | |--- AT <= 11.04\n",
"| | | |--- TIT <= 1097.70\n",
"| | | | |--- TIT <= 1060.15\n",
"| | | | | |--- TAT <= 547.68\n",
"| | | | | | |--- TAT <= 542.26\n",
"| | | | | | | |--- AT <= 6.44\n",
"| | | | | | | | |--- AT <= 4.25\n",
"| | | | | | | | | |--- AP <= 1018.55\n",
"| | | | | | | | | | |--- value: [109.92]\n",
"| | | | | | | | | |--- AP > 1018.55\n",
"| | | | | | | | | | |--- value: [95.28]\n",
"| | | | | | | | |--- AT > 4.25\n",
"| | | | | | | | | |--- TAT <= 539.21\n",
"| | | | | | | | | | |--- value: [102.60]\n",
"| | | | | | | | | |--- TAT > 539.21\n",
"| | | | | | | | | | |--- value: [114.42]\n",
"| | | | | | | |--- AT > 6.44\n",
"| | | | | | | | |--- AFDP <= 3.31\n",
"| | | | | | | | | |--- AFDP <= 2.34\n",
"| | | | | | | | | | |--- value: [81.04]\n",
"| | | | | | | | | |--- AFDP > 2.34\n",
"| | | | | | | | | | |--- AFDP <= 2.47\n",
"| | | | | | | | | | | |--- value: [95.32]\n",
"| | | | | | | | | | |--- AFDP > 2.47\n",
"| | | | | | | | | | | |--- value: [104.58]\n",
"| | | | | | | | |--- AFDP > 3.31\n",
"| | | | | | | | | |--- AP <= 1021.45\n",
"| | | | | | | | | | |--- AP <= 1014.50\n",
"| | | | | | | | | | | |--- value: [86.31]\n",
"| | | | | | | | | | |--- AP > 1014.50\n",
"| | | | | | | | | | | |--- value: [90.75]\n",
"| | | | | | | | | |--- AP > 1021.45\n",
"| | | | | | | | | | |--- TAT <= 541.21\n",
"| | | | | | | | | | | |--- value: [92.99]\n",
"| | | | | | | | | | |--- TAT > 541.21\n",
"| | | | | | | | | | | |--- value: [100.37]\n",
"| | | | | | |--- TAT > 542.26\n",
"| | | | | | | |--- AH <= 85.73\n",
"| | | | | | | | |--- AT <= 2.67\n",
"| | | | | | | | | |--- value: [105.32]\n",
"| | | | | | | | |--- AT > 2.67\n",
"| | | | | | | | | |--- TIT <= 1047.45\n",
"| | | | | | | | | | |--- AP <= 1002.60\n",
"| | | | | | | | | | | |--- value: [98.64]\n",
"| | | | | | | | | | |--- AP > 1002.60\n",
"| | | | | | | | | | | |--- value: [78.62]\n",
"| | | | | | | | | |--- TIT > 1047.45\n",
"| | | | | | | | | | |--- TAT <= 546.81\n",
"| | | | | | | | | | | |--- value: [91.73]\n",
"| | | | | | | | | | |--- TAT > 546.81\n",
"| | | | | | | | | | | |--- value: [78.52]\n",
"| | | | | | | |--- AH > 85.73\n",
"| | | | | | | | |--- AT <= 7.58\n",
"| | | | | | | | | |--- TAT <= 542.61\n",
"| | | | | | | | | | |--- value: [84.37]\n",
"| | | | | | | | | |--- TAT > 542.61\n",
"| | | | | | | | | | |--- AH <= 93.87\n",
"| | | | | | | | | | | |--- value: [110.24]\n",
"| | | | | | | | | | |--- AH > 93.87\n",
"| | | | | | | | | | | |--- value: [95.22]\n",
"| | | | | | | | |--- AT > 7.58\n",
"| | | | | | | | | |--- AFDP <= 3.26\n",
"| | | | | | | | | | |--- AP <= 1019.55\n",
"| | | | | | | | | | | |--- value: [96.84]\n",
"| | | | | | | | | | |--- AP > 1019.55\n",
"| | | | | | | | | | | |--- value: [80.81]\n",
"| | | | | | | | | |--- AFDP > 3.26\n",
"| | | | | | | | | | |--- AP <= 1015.45\n",
"| | | | | | | | | | | |--- value: [79.68]\n",
"| | | | | | | | | | |--- AP > 1015.45\n",
"| | | | | | | | | | | |--- value: [91.09]\n",
"| | | | | |--- TAT > 547.68\n",
"| | | | | | |--- AT <= 8.25\n",
"| | | | | | | |--- AP <= 1005.40\n",
"| | | | | | | | |--- TAT <= 549.48\n",
"| | | | | | | | | |--- value: [112.60]\n",
"| | | | | | | | |--- TAT > 549.48\n",
"| | | | | | | | | |--- AH <= 92.37\n",
"| | | | | | | | | | |--- value: [71.19]\n",
"| | | | | | | | | |--- AH > 92.37\n",
"| | | | | | | | | | |--- AP <= 997.95\n",
"| | | | | | | | | | | |--- value: [61.17]\n",
"| | | | | | | | | | |--- AP > 997.95\n",
"| | | | | | | | | | | |--- value: [65.18]\n",
"| | | | | | | |--- AP > 1005.40\n",
"| | | | | | | | |--- AFDP <= 3.54\n",
"| | | | | | | | | |--- AT <= 5.34\n",
"| | | | | | | | | | |--- TAT <= 549.48\n",
"| | | | | | | | | | | |--- value: [101.07]\n",
"| | | | | | | | | | |--- TAT > 549.48\n",
"| | | | | | | | | | | |--- value: [90.01]\n",
"| | | | | | | | | |--- AT > 5.34\n",
"| | | | | | | | | | |--- AFDP <= 2.67\n",
"| | | | | | | | | | | |--- value: [89.14]\n",
"| | | | | | | | | | |--- AFDP > 2.67\n",
"| | | | | | | | | | | |--- value: [77.93]\n",
"| | | | | | | | |--- AFDP > 3.54\n",
"| | | | | | | | | |--- AFDP <= 4.09\n",
"| | | | | | | | | | |--- AT <= 4.07\n",
"| | | | | | | | | | | |--- value: [111.25]\n",
"| | | | | | | | | | |--- AT > 4.07\n",
"| | | | | | | | | | | |--- value: [114.78]\n",
"| | | | | | | | | |--- AFDP > 4.09\n",
"| | | | | | | | | | |--- value: [97.08]\n",
"| | | | | | |--- AT > 8.25\n",
"| | | | | | | |--- TAT <= 548.36\n",
"| | | | | | | | |--- AH <= 90.79\n",
"| | | | | | | | | |--- AFDP <= 2.55\n",
"| | | | | | | | | | |--- value: [68.71]\n",
"| | | | | | | | | |--- AFDP > 2.55\n",
"| | | | | | | | | | |--- AFDP <= 2.58\n",
"| | | | | | | | | | | |--- value: [93.48]\n",
"| | | | | | | | | | |--- AFDP > 2.58\n",
"| | | | | | | | | | | |--- value: [78.22]\n",
"| | | | | | | | |--- AH > 90.79\n",
"| | | | | | | | | |--- TAT <= 547.78\n",
"| | | | | | | | | | |--- value: [80.07]\n",
"| | | | | | | | | |--- TAT > 547.78\n",
"| | | | | | | | | | |--- AT <= 10.26\n",
"| | | | | | | | | | | |--- value: [100.83]\n",
"| | | | | | | | | | |--- AT > 10.26\n",
"| | | | | | | | | | | |--- value: [89.36]\n",
"| | | | | | | |--- TAT > 548.36\n",
"| | | | | | | | |--- AFDP <= 3.26\n",
"| | | | | | | | | |--- AFDP <= 2.99\n",
"| | | | | | | | | | |--- TIT <= 1049.50\n",
"| | | | | | | | | | | |--- value: [71.23]\n",
"| | | | | | | | | | |--- TIT > 1049.50\n",
"| | | | | | | | | | | |--- value: [77.30]\n",
"| | | | | | | | | |--- AFDP > 2.99\n",
"| | | | | | | | | | |--- AH <= 98.19\n",
"| | | | | | | | | | | |--- value: [58.72]\n",
"| | | | | | | | | | |--- AH > 98.19\n",
"| | | | | | | | | | | |--- value: [68.34]\n",
"| | | | | | | | |--- AFDP > 3.26\n",
"| | | | | | | | | |--- AT <= 8.49\n",
"| | | | | | | | | | |--- value: [117.48]\n",
"| | | | | | | | | |--- AT > 8.49\n",
"| | | | | | | | | | |--- AP <= 998.51\n",
"| | | | | | | | | | | |--- value: [75.63]\n",
"| | | | | | | | | | |--- AP > 998.51\n",
"| | | | | | | | | | | |--- value: [80.36]\n",
"| | | | |--- TIT > 1060.15\n",
"| | | | | |--- AFDP <= 3.69\n",
"| | | | | | |--- AFDP <= 3.08\n",
"| | | | | | | |--- AT <= 7.56\n",
"| | | | | | | | |--- TAT <= 548.94\n",
"| | | | | | | | | |--- AFDP <= 2.89\n",
"| | | | | | | | | | |--- AH <= 83.98\n",
"| | | | | | | | | | | |--- value: [88.70]\n",
"| | | | | | | | | | |--- AH > 83.98\n",
"| | | | | | | | | | | |--- value: [102.51]\n",
"| | | | | | | | | |--- AFDP > 2.89\n",
"| | | | | | | | | | |--- AT <= 6.15\n",
"| | | | | | | | | | | |--- value: [74.67]\n",
"| | | | | | | | | | |--- AT > 6.15\n",
"| | | | | | | | | | | |--- value: [87.05]\n",
"| | | | | | | | |--- TAT > 548.94\n",
"| | | | | | | | | |--- TIT <= 1070.45\n",
"| | | | | | | | | | |--- AP <= 1016.75\n",
"| | | | | | | | | | | |--- value: [84.18]\n",
"| | | | | | | | | | |--- AP > 1016.75\n",
"| | | | | | | | | | | |--- value: [74.33]\n",
"| | | | | | | | | |--- TIT > 1070.45\n",
"| | | | | | | | | | |--- AT <= 4.48\n",
"| | | | | | | | | | | |--- value: [83.87]\n",
"| | | | | | | | | | |--- AT > 4.48\n",
"| | | | | | | | | | | |--- value: [80.14]\n",
"| | | | | | | |--- AT > 7.56\n",
"| | | | | | | | |--- TAT <= 548.41\n",
"| | | | | | | | | |--- TAT <= 541.36\n",
"| | | | | | | | | | |--- value: [119.28]\n",
"| | | | | | | | | |--- TAT > 541.36\n",
"| | | | | | | | | | |--- TAT <= 545.97\n",
"| | | | | | | | | | | |--- value: [92.03]\n",
"| | | | | | | | | | |--- TAT > 545.97\n",
"| | | | | | | | | | | |--- value: [81.82]\n",
"| | | | | | | | |--- TAT > 548.41\n",
"| | | | | | | | | |--- TIT <= 1078.95\n",
"| | | | | | | | | | |--- AT <= 9.58\n",
"| | | | | | | | | | | |--- value: [72.87]\n",
"| | | | | | | | | | |--- AT > 9.58\n",
"| | | | | | | | | | | |--- value: [69.34]\n",
"| | | | | | | | | |--- TIT > 1078.95\n",
"| | | | | | | | | | |--- AFDP <= 2.98\n",
"| | | | | | | | | | | |--- value: [75.12]\n",
"| | | | | | | | | | |--- AFDP > 2.98\n",
"| | | | | | | | | | | |--- value: [80.11]\n",
"| | | | | | |--- AFDP > 3.08\n",
"| | | | | | | |--- TIT <= 1081.75\n",
"| | | | | | | | |--- TAT <= 549.45\n",
"| | | | | | | | | |--- AT <= 3.94\n",
"| | | | | | | | | | |--- value: [110.30]\n",
"| | | | | | | | | |--- AT > 3.94\n",
"| | | | | | | | | | |--- TIT <= 1066.55\n",
"| | | | | | | | | | | |--- value: [82.53]\n",
"| | | | | | | | | | |--- TIT > 1066.55\n",
"| | | | | | | | | | | |--- value: [71.73]\n",
"| | | | | | | | |--- TAT > 549.45\n",
"| | | | | | | | | |--- AFDP <= 3.20\n",
"| | | | | | | | | | |--- AH <= 69.47\n",
"| | | | | | | | | | | |--- value: [73.65]\n",
"| | | | | | | | | | |--- AH > 69.47\n",
"| | | | | | | | | | | |--- value: [68.76]\n",
"| | | | | | | | | |--- AFDP > 3.20\n",
"| | | | | | | | | | |--- AT <= 7.54\n",
"| | | | | | | | | | | |--- value: [68.56]\n",
"| | | | | | | | | | |--- AT > 7.54\n",
"| | | | | | | | | | | |--- value: [64.27]\n",
"| | | | | | | |--- TIT > 1081.75\n",
"| | | | | | | | |--- AT <= 7.41\n",
"| | | | | | | | | |--- AP <= 1027.75\n",
"| | | | | | | | | | |--- AP <= 1021.55\n",
"| | | | | | | | | | | |--- value: [76.43]\n",
"| | | | | | | | | | |--- AP > 1021.55\n",
"| | | | | | | | | | | |--- value: [82.03]\n",
"| | | | | | | | | |--- AP > 1027.75\n",
"| | | | | | | | | | |--- value: [62.71]\n",
"| | | | | | | | |--- AT > 7.41\n",
"| | | | | | | | | |--- AP <= 1007.75\n",
"| | | | | | | | | | |--- AH <= 94.79\n",
"| | | | | | | | | | | |--- value: [81.06]\n",
"| | | | | | | | | | |--- AH > 94.79\n",
"| | | | | | | | | | | |--- value: [76.78]\n",
"| | | | | | | | | |--- AP > 1007.75\n",
"| | | | | | | | | | |--- AH <= 99.83\n",
"| | | | | | | | | | | |--- value: [71.07]\n",
"| | | | | | | | | | |--- AH > 99.83\n",
"| | | | | | | | | | | |--- value: [79.89]\n",
"| | | | | |--- AFDP > 3.69\n",
"| | | | | | |--- TIT <= 1089.05\n",
"| | | | | | | |--- AT <= 8.23\n",
"| | | | | | | | |--- TIT <= 1071.10\n",
"| | | | | | | | | |--- AT <= 7.16\n",
"| | | | | | | | | | |--- TAT <= 540.32\n",
"| | | | | | | | | | | |--- value: [84.42]\n",
"| | | | | | | | | | |--- TAT > 540.32\n",
"| | | | | | | | | | | |--- value: [98.19]\n",
"| | | | | | | | | |--- AT > 7.16\n",
"| | | | | | | | | | |--- AP <= 1007.00\n",
"| | | | | | | | | | | |--- value: [76.13]\n",
"| | | | | | | | | | |--- AP > 1007.00\n",
"| | | | | | | | | | | |--- value: [84.73]\n",
"| | | | | | | | |--- TIT > 1071.10\n",
"| | | | | | | | | |--- AT <= 5.33\n",
"| | | | | | | | | | |--- AH <= 84.43\n",
"| | | | | | | | | | | |--- value: [85.71]\n",
"| | | | | | | | | | |--- AH > 84.43\n",
"| | | | | | | | | | | |--- value: [81.82]\n",
"| | | | | | | | | |--- AT > 5.33\n",
"| | | | | | | | | | |--- AP <= 1017.45\n",
"| | | | | | | | | | | |--- value: [81.56]\n",
"| | | | | | | | | | |--- AP > 1017.45\n",
"| | | | | | | | | | | |--- value: [78.81]\n",
"| | | | | | | |--- AT > 8.23\n",
"| | | | | | | | |--- AH <= 89.15\n",
"| | | | | | | | | |--- TIT <= 1073.15\n",
"| | | | | | | | | | |--- TIT <= 1060.45\n",
"| | | | | | | | | | | |--- value: [100.28]\n",
"| | | | | | | | | | |--- TIT > 1060.45\n",
"| | | | | | | | | | | |--- value: [85.29]\n",
"| | | | | | | | | |--- TIT > 1073.15\n",
"| | | | | | | | | | |--- AT <= 9.86\n",
"| | | | | | | | | | | |--- value: [79.77]\n",
"| | | | | | | | | | |--- AT > 9.86\n",
"| | | | | | | | | | | |--- value: [77.91]\n",
"| | | | | | | | |--- AH > 89.15\n",
"| | | | | | | | | |--- TIT <= 1079.60\n",
"| | | | | | | | | | |--- AH <= 99.87\n",
"| | | | | | | | | | | |--- value: [66.92]\n",
"| | | | | | | | | | |--- AH > 99.87\n",
"| | | | | | | | | | | |--- value: [80.49]\n",
"| | | | | | | | | |--- TIT > 1079.60\n",
"| | | | | | | | | | |--- TIT <= 1087.25\n",
"| | | | | | | | | | | |--- value: [76.30]\n",
"| | | | | | | | | | |--- TIT > 1087.25\n",
"| | | | | | | | | | | |--- value: [71.48]\n",
"| | | | | | |--- TIT > 1089.05\n",
"| | | | | | | |--- AP <= 1027.65\n",
"| | | | | | | | |--- TAT <= 547.30\n",
"| | | | | | | | | |--- TIT <= 1089.15\n",
"| | | | | | | | | | |--- value: [60.38]\n",
"| | | | | | | | | |--- TIT > 1089.15\n",
"| | | | | | | | | | |--- TAT <= 541.30\n",
"| | | | | | | | | | | |--- value: [70.99]\n",
"| | | | | | | | | | |--- TAT > 541.30\n",
"| | | | | | | | | | | |--- value: [76.31]\n",
"| | | | | | | | |--- TAT > 547.30\n",
"| | | | | | | | | |--- AT <= 4.65\n",
"| | | | | | | | | | |--- value: [65.18]\n",
"| | | | | | | | | |--- AT > 4.65\n",
"| | | | | | | | | | |--- TAT <= 550.14\n",
"| | | | | | | | | | | |--- value: [82.51]\n",
"| | | | | | | | | | |--- TAT > 550.14\n",
"| | | | | | | | | | | |--- value: [74.77]\n",
"| | | | | | | |--- AP > 1027.65\n",
"| | | | | | | | |--- AFDP <= 4.04\n",
"| | | | | | | | | |--- TAT <= 544.85\n",
"| | | | | | | | | | |--- value: [55.66]\n",
"| | | | | | | | | |--- TAT > 544.85\n",
"| | | | | | | | | | |--- value: [62.78]\n",
"| | | | | | | | |--- AFDP > 4.04\n",
"| | | | | | | | | |--- AH <= 93.18\n",
"| | | | | | | | | | |--- AH <= 92.18\n",
"| | | | | | | | | | | |--- value: [69.17]\n",
"| | | | | | | | | | |--- AH > 92.18\n",
"| | | | | | | | | | | |--- value: [82.14]\n",
"| | | | | | | | | |--- AH > 93.18\n",
"| | | | | | | | | | |--- value: [60.42]\n",
"| | | |--- TIT > 1097.70\n",
"| | | | |--- AP <= 1020.95\n",
"| | | | | |--- TAT <= 539.04\n",
"| | | | | | |--- AFDP <= 4.09\n",
"| | | | | | | |--- TAT <= 531.83\n",
"| | | | | | | | |--- AT <= 5.23\n",
"| | | | | | | | | |--- TAT <= 527.38\n",
"| | | | | | | | | | |--- AH <= 63.57\n",
"| | | | | | | | | | | |--- value: [75.04]\n",
"| | | | | | | | | | |--- AH > 63.57\n",
"| | | | | | | | | | | |--- value: [66.70]\n",
"| | | | | | | | | |--- TAT > 527.38\n",
"| | | | | | | | | | |--- AH <= 65.85\n",
"| | | | | | | | | | | |--- value: [64.89]\n",
"| | | | | | | | | | |--- AH > 65.85\n",
"| | | | | | | | | | | |--- value: [59.24]\n",
"| | | | | | | | |--- AT > 5.23\n",
"| | | | | | | | | |--- TAT <= 528.47\n",
"| | | | | | | | | | |--- AFDP <= 4.05\n",
"| | | | | | | | | | | |--- value: [65.27]\n",
"| | | | | | | | | | |--- AFDP > 4.05\n",
"| | | | | | | | | | | |--- value: [69.26]\n",
"| | | | | | | | | |--- TAT > 528.47\n",
"| | | | | | | | | | |--- AH <= 92.08\n",
"| | | | | | | | | | | |--- value: [71.64]\n",
"| | | | | | | | | | |--- AH > 92.08\n",
"| | | | | | | | | | | |--- value: [68.33]\n",
"| | | | | | | |--- TAT > 531.83\n",
"| | | | | | | | |--- AH <= 91.85\n",
"| | | | | | | | | |--- AP <= 1015.90\n",
"| | | | | | | | | | |--- AH <= 86.42\n",
"| | | | | | | | | | | |--- value: [62.20]\n",
"| | | | | | | | | | |--- AH > 86.42\n",
"| | | | | | | | | | | |--- value: [74.31]\n",
"| | | | | | | | | |--- AP > 1015.90\n",
"| | | | | | | | | | |--- AP <= 1018.60\n",
"| | | | | | | | | | | |--- value: [59.57]\n",
"| | | | | | | | | | |--- AP > 1018.60\n",
"| | | | | | | | | | | |--- value: [57.15]\n",
"| | | | | | | | |--- AH > 91.85\n",
"| | | | | | | | | |--- AP <= 999.80\n",
"| | | | | | | | | | |--- value: [73.25]\n",
"| | | | | | | | | |--- AP > 999.80\n",
"| | | | | | | | | | |--- TAT <= 537.36\n",
"| | | | | | | | | | | |--- value: [69.69]\n",
"| | | | | | | | | | |--- TAT > 537.36\n",
"| | | | | | | | | | | |--- value: [72.98]\n",
"| | | | | | |--- AFDP > 4.09\n",
"| | | | | | | |--- AP <= 1006.25\n",
"| | | | | | | | |--- AT <= 9.09\n",
"| | | | | | | | | |--- AT <= 8.50\n",
"| | | | | | | | | | |--- AT <= 7.27\n",
"| | | | | | | | | | | |--- value: [75.09]\n",
"| | | | | | | | | | |--- AT > 7.27\n",
"| | | | | | | | | | | |--- value: [69.04]\n",
"| | | | | | | | | |--- AT > 8.50\n",
"| | | | | | | | | | |--- value: [88.85]\n",
"| | | | | | | | |--- AT > 9.09\n",
"| | | | | | | | | |--- AFDP <= 5.56\n",
"| | | | | | | | | | |--- AP <= 1002.20\n",
"| | | | | | | | | | | |--- value: [72.08]\n",
"| | | | | | | | | | |--- AP > 1002.20\n",
"| | | | | | | | | | | |--- value: [69.50]\n",
"| | | | | | | | | |--- AFDP > 5.56\n",
"| | | | | | | | | | |--- AFDP <= 6.27\n",
"| | | | | | | | | | | |--- value: [67.93]\n",
"| | | | | | | | | | |--- AFDP > 6.27\n",
"| | | | | | | | | | | |--- value: [65.66]\n",
"| | | | | | | |--- AP > 1006.25\n",
"| | | | | | | | |--- TAT <= 527.52\n",
"| | | | | | | | | |--- AFDP <= 4.79\n",
"| | | | | | | | | | |--- AH <= 79.07\n",
"| | | | | | | | | | | |--- value: [69.44]\n",
"| | | | | | | | | | |--- AH > 79.07\n",
"| | | | | | | | | | | |--- value: [67.81]\n",
"| | | | | | | | | |--- AFDP > 4.79\n",
"| | | | | | | | | | |--- AFDP <= 4.88\n",
"| | | | | | | | | | | |--- value: [58.07]\n",
"| | | | | | | | | | |--- AFDP > 4.88\n",
"| | | | | | | | | | | |--- value: [66.48]\n",
"| | | | | | | | |--- TAT > 527.52\n",
"| | | | | | | | | |--- AH <= 57.41\n",
"| | | | | | | | | | |--- AP <= 1020.35\n",
"| | | | | | | | | | | |--- value: [61.40]\n",
"| | | | | | | | | | |--- AP > 1020.35\n",
"| | | | | | | | | | | |--- value: [69.04]\n",
"| | | | | | | | | |--- AH > 57.41\n",
"| | | | | | | | | | |--- TAT <= 534.11\n",
"| | | | | | | | | | | |--- value: [68.60]\n",
"| | | | | | | | | | |--- TAT > 534.11\n",
"| | | | | | | | | | | |--- value: [71.44]\n",
"| | | | | |--- TAT > 539.04\n",
"| | | | | | |--- TAT <= 543.17\n",
"| | | | | | | |--- AP <= 1019.45\n",
"| | | | | | | | |--- AH <= 88.70\n",
"| | | | | | | | | |--- AP <= 1018.20\n",
"| | | | | | | | | | |--- AH <= 71.46\n",
"| | | | | | | | | | | |--- value: [86.67]\n",
"| | | | | | | | | | |--- AH > 71.46\n",
"| | | | | | | | | | | |--- value: [77.91]\n",
"| | | | | | | | | |--- AP > 1018.20\n",
"| | | | | | | | | | |--- value: [92.70]\n",
"| | | | | | | | |--- AH > 88.70\n",
"| | | | | | | | | |--- value: [66.24]\n",
"| | | | | | | |--- AP > 1019.45\n",
"| | | | | | | | |--- value: [60.26]\n",
"| | | | | | |--- TAT > 543.17\n",
"| | | | | | | |--- AFDP <= 3.77\n",
"| | | | | | | | |--- value: [77.16]\n",
"| | | | | | | |--- AFDP > 3.77\n",
"| | | | | | | | |--- AT <= 7.54\n",
"| | | | | | | | | |--- value: [80.23]\n",
"| | | | | | | | |--- AT > 7.54\n",
"| | | | | | | | | |--- AT <= 10.10\n",
"| | | | | | | | | | |--- AP <= 1019.45\n",
"| | | | | | | | | | | |--- value: [92.29]\n",
"| | | | | | | | | | |--- AP > 1019.45\n",
"| | | | | | | | | | | |--- value: [87.67]\n",
"| | | | | | | | | |--- AT > 10.10\n",
"| | | | | | | | | | |--- value: [84.18]\n",
"| | | | |--- AP > 1020.95\n",
"| | | | | |--- TAT <= 538.38\n",
"| | | | | | |--- TAT <= 529.57\n",
"| | | | | | | |--- AT <= 3.24\n",
"| | | | | | | | |--- AFDP <= 5.10\n",
"| | | | | | | | | |--- AFDP <= 4.50\n",
"| | | | | | | | | | |--- AH <= 58.82\n",
"| | | | | | | | | | | |--- value: [60.66]\n",
"| | | | | | | | | | |--- AH > 58.82\n",
"| | | | | | | | | | | |--- value: [57.38]\n",
"| | | | | | | | | |--- AFDP > 4.50\n",
"| | | | | | | | | | |--- value: [50.66]\n",
"| | | | | | | | |--- AFDP > 5.10\n",
"| | | | | | | | | |--- TAT <= 521.51\n",
"| | | | | | | | | | |--- value: [62.17]\n",
"| | | | | | | | | |--- TAT > 521.51\n",
"| | | | | | | | | | |--- TAT <= 522.80\n",
"| | | | | | | | | | | |--- value: [66.81]\n",
"| | | | | | | | | | |--- TAT > 522.80\n",
"| | | | | | | | | | | |--- value: [69.17]\n",
"| | | | | | | |--- AT > 3.24\n",
"| | | | | | | | |--- AFDP <= 4.67\n",
"| | | | | | | | | |--- AFDP <= 4.14\n",
"| | | | | | | | | | |--- AH <= 80.81\n",
"| | | | | | | | | | | |--- value: [61.39]\n",
"| | | | | | | | | | |--- AH > 80.81\n",
"| | | | | | | | | | | |--- value: [66.28]\n",
"| | | | | | | | | |--- AFDP > 4.14\n",
"| | | | | | | | | | |--- AP <= 1030.30\n",
"| | | | | | | | | | | |--- value: [70.89]\n",
"| | | | | | | | | | |--- AP > 1030.30\n",
"| | | | | | | | | | | |--- value: [47.60]\n",
"| | | | | | | | |--- AFDP > 4.67\n",
"| | | | | | | | | |--- AP <= 1029.15\n",
"| | | | | | | | | | |--- AFDP <= 5.87\n",
"| | | | | | | | | | | |--- value: [64.60]\n",
"| | | | | | | | | | |--- AFDP > 5.87\n",
"| | | | | | | | | | | |--- value: [61.80]\n",
"| | | | | | | | | |--- AP > 1029.15\n",
"| | | | | | | | | | |--- AT <= 5.88\n",
"| | | | | | | | | | | |--- value: [47.11]\n",
"| | | | | | | | | | |--- AT > 5.88\n",
"| | | | | | | | | | | |--- value: [61.28]\n",
"| | | | | | |--- TAT > 529.57\n",
"| | | | | | | |--- AH <= 93.18\n",
"| | | | | | | | |--- AH <= 74.56\n",
"| | | | | | | | | |--- AT <= 5.98\n",
"| | | | | | | | | | |--- AFDP <= 4.73\n",
"| | | | | | | | | | | |--- value: [61.55]\n",
"| | | | | | | | | | |--- AFDP > 4.73\n",
"| | | | | | | | | | | |--- value: [70.28]\n",
"| | | | | | | | | |--- AT > 5.98\n",
"| | | | | | | | | | |--- AFDP <= 4.20\n",
"| | | | | | | | | | | |--- value: [57.38]\n",
"| | | | | | | | | | |--- AFDP > 4.20\n",
"| | | | | | | | | | | |--- value: [51.80]\n",
"| | | | | | | | |--- AH > 74.56\n",
"| | | | | | | | | |--- TAT <= 533.80\n",
"| | | | | | | | | | |--- TIT <= 1100.05\n",
"| | | | | | | | | | | |--- value: [55.97]\n",
"| | | | | | | | | | |--- TIT > 1100.05\n",
"| | | | | | | | | | | |--- value: [64.70]\n",
"| | | | | | | | | |--- TAT > 533.80\n",
"| | | | | | | | | | |--- AFDP <= 4.40\n",
"| | | | | | | | | | | |--- value: [57.61]\n",
"| | | | | | | | | | |--- AFDP > 4.40\n",
"| | | | | | | | | | | |--- value: [71.68]\n",
"| | | | | | | |--- AH > 93.18\n",
"| | | | | | | | |--- value: [82.67]\n",
"| | | | | |--- TAT > 538.38\n",
"| | | | | | |--- AP <= 1022.35\n",
"| | | | | | | |--- value: [65.55]\n",
"| | | | | | |--- AP > 1022.35\n",
"| | | | | | | |--- TAT <= 545.44\n",
"| | | | | | | | |--- TAT <= 541.94\n",
"| | | | | | | | | |--- value: [70.22]\n",
"| | | | | | | | |--- TAT > 541.94\n",
"| | | | | | | | | |--- value: [76.18]\n",
"| | | | | | | |--- TAT > 545.44\n",
"| | | | | | | | |--- AH <= 77.35\n",
"| | | | | | | | | |--- value: [84.83]\n",
"| | | | | | | | |--- AH > 77.35\n",
"| | | | | | | | | |--- value: [78.62]\n",
"| | |--- AT > 11.04\n",
"| | | |--- AT <= 13.96\n",
"| | | | |--- TIT <= 1057.20\n",
"| | | | | |--- TAT <= 549.57\n",
"| | | | | | |--- AH <= 80.06\n",
"| | | | | | | |--- AFDP <= 3.12\n",
"| | | | | | | | |--- AP <= 1015.10\n",
"| | | | | | | | | |--- TIT <= 1051.00\n",
"| | | | | | | | | | |--- value: [71.65]\n",
"| | | | | | | | | |--- TIT > 1051.00\n",
"| | | | | | | | | | |--- value: [86.33]\n",
"| | | | | | | | |--- AP > 1015.10\n",
"| | | | | | | | | |--- TAT <= 548.64\n",
"| | | | | | | | | | |--- TIT <= 1048.90\n",
"| | | | | | | | | | | |--- value: [68.73]\n",
"| | | | | | | | | | |--- TIT > 1048.90\n",
"| | | | | | | | | | | |--- value: [70.81]\n",
"| | | | | | | | | |--- TAT > 548.64\n",
"| | | | | | | | | | |--- TIT <= 1046.70\n",
"| | | | | | | | | | | |--- value: [67.81]\n",
"| | | | | | | | | | |--- TIT > 1046.70\n",
"| | | | | | | | | | | |--- value: [65.74]\n",
"| | | | | | | |--- AFDP > 3.12\n",
"| | | | | | | | |--- TAT <= 545.74\n",
"| | | | | | | | | |--- value: [83.18]\n",
"| | | | | | | | |--- TAT > 545.74\n",
"| | | | | | | | | |--- AP <= 1013.95\n",
"| | | | | | | | | | |--- value: [82.60]\n",
"| | | | | | | | | |--- AP > 1013.95\n",
"| | | | | | | | | | |--- TAT <= 548.21\n",
"| | | | | | | | | | | |--- value: [76.24]\n",
"| | | | | | | | | | |--- TAT > 548.21\n",
"| | | | | | | | | | | |--- value: [77.77]\n",
"| | | | | | |--- AH > 80.06\n",
"| | | | | | | |--- AFDP <= 2.70\n",
"| | | | | | | | |--- TIT <= 1051.85\n",
"| | | | | | | | | |--- AFDP <= 2.23\n",
"| | | | | | | | | | |--- value: [77.70]\n",
"| | | | | | | | | |--- AFDP > 2.23\n",
"| | | | | | | | | | |--- AP <= 998.95\n",
"| | | | | | | | | | | |--- value: [79.64]\n",
"| | | | | | | | | | |--- AP > 998.95\n",
"| | | | | | | | | | | |--- value: [88.36]\n",
"| | | | | | | | |--- TIT > 1051.85\n",
"| | | | | | | | | |--- AFDP <= 2.29\n",
"| | | | | | | | | | |--- value: [71.75]\n",
"| | | | | | | | | |--- AFDP > 2.29\n",
"| | | | | | | | | | |--- AH <= 82.61\n",
"| | | | | | | | | | | |--- value: [94.23]\n",
"| | | | | | | | | | |--- AH > 82.61\n",
"| | | | | | | | | | | |--- value: [82.09]\n",
"| | | | | | | |--- AFDP > 2.70\n",
"| | | | | | | | |--- TAT <= 548.92\n",
"| | | | | | | | | |--- AFDP <= 2.73\n",
"| | | | | | | | | | |--- value: [105.47]\n",
"| | | | | | | | | |--- AFDP > 2.73\n",
"| | | | | | | | | | |--- AP <= 1016.35\n",
"| | | | | | | | | | | |--- value: [78.03]\n",
"| | | | | | | | | | |--- AP > 1016.35\n",
"| | | | | | | | | | | |--- value: [84.10]\n",
"| | | | | | | | |--- TAT > 548.92\n",
"| | | | | | | | | |--- TIT <= 1051.20\n",
"| | | | | | | | | | |--- AP <= 1013.95\n",
"| | | | | | | | | | | |--- value: [70.97]\n",
"| | | | | | | | | | |--- AP > 1013.95\n",
"| | | | | | | | | | | |--- value: [63.78]\n",
"| | | | | | | | | |--- TIT > 1051.20\n",
"| | | | | | | | | | |--- TIT <= 1056.60\n",
"| | | | | | | | | | | |--- value: [78.04]\n",
"| | | | | | | | | | |--- TIT > 1056.60\n",
"| | | | | | | | | | | |--- value: [100.06]\n",
"| | | | | |--- TAT > 549.57\n",
"| | | | | | |--- TIT <= 1051.30\n",
"| | | | | | | |--- AFDP <= 2.59\n",
"| | | | | | | | |--- AFDP <= 2.43\n",
"| | | | | | | | | |--- AP <= 998.58\n",
"| | | | | | | | | | |--- value: [77.06]\n",
"| | | | | | | | | |--- AP > 998.58\n",
"| | | | | | | | | | |--- TAT <= 549.74\n",
"| | | | | | | | | | | |--- value: [70.63]\n",
"| | | | | | | | | | |--- TAT > 549.74\n",
"| | | | | | | | | | | |--- value: [68.52]\n",
"| | | | | | | | |--- AFDP > 2.43\n",
"| | | | | | | | | |--- TIT <= 1044.95\n",
"| | | | | | | | | | |--- value: [74.07]\n",
"| | | | | | | | | |--- TIT > 1044.95\n",
"| | | | | | | | | | |--- AT <= 13.24\n",
"| | | | | | | | | | | |--- value: [70.85]\n",
"| | | | | | | | | | |--- AT > 13.24\n",
"| | | | | | | | | | | |--- value: [72.30]\n",
"| | | | | | | |--- AFDP > 2.59\n",
"| | | | | | | | |--- AH <= 63.63\n",
"| | | | | | | | | |--- value: [71.90]\n",
"| | | | | | | | |--- AH > 63.63\n",
"| | | | | | | | | |--- AP <= 1001.20\n",
"| | | | | | | | | | |--- value: [56.45]\n",
"| | | | | | | | | |--- AP > 1001.20\n",
"| | | | | | | | | | |--- TAT <= 549.88\n",
"| | | | | | | | | | | |--- value: [66.47]\n",
"| | | | | | | | | | |--- TAT > 549.88\n",
"| | | | | | | | | | | |--- value: [63.21]\n",
"| | | | | | |--- TIT > 1051.30\n",
"| | | | | | | |--- TAT <= 550.11\n",
"| | | | | | | | |--- AT <= 13.56\n",
"| | | | | | | | | |--- AH <= 95.27\n",
"| | | | | | | | | | |--- TAT <= 549.89\n",
"| | | | | | | | | | | |--- value: [79.28]\n",
"| | | | | | | | | | |--- TAT > 549.89\n",
"| | | | | | | | | | | |--- value: [75.42]\n",
"| | | | | | | | | |--- AH > 95.27\n",
"| | | | | | | | | | |--- TIT <= 1052.05\n",
"| | | | | | | | | | | |--- value: [86.44]\n",
"| | | | | | | | | | |--- TIT > 1052.05\n",
"| | | | | | | | | | | |--- value: [72.61]\n",
"| | | | | | | | |--- AT > 13.56\n",
"| | | | | | | | | |--- TAT <= 549.68\n",
"| | | | | | | | | | |--- value: [76.97]\n",
"| | | | | | | | | |--- TAT > 549.68\n",
"| | | | | | | | | | |--- AP <= 1017.90\n",
"| | | | | | | | | | | |--- value: [71.60]\n",
"| | | | | | | | | | |--- AP > 1017.90\n",
"| | | | | | | | | | | |--- value: [54.84]\n",
"| | | | | | | |--- TAT > 550.11\n",
"| | | | | | | | |--- AFDP <= 3.04\n",
"| | | | | | | | | |--- TAT <= 550.31\n",
"| | | | | | | | | | |--- TIT <= 1053.60\n",
"| | | | | | | | | | | |--- value: [63.49]\n",
"| | | | | | | | | | |--- TIT > 1053.60\n",
"| | | | | | | | | | | |--- value: [72.02]\n",
"| | | | | | | | | |--- TAT > 550.31\n",
"| | | | | | | | | | |--- value: [56.04]\n",
"| | | | | | | | |--- AFDP > 3.04\n",
"| | | | | | | | | |--- value: [74.39]\n",
"| | | | |--- TIT > 1057.20\n",
"| | | | | |--- TAT <= 539.06\n",
"| | | | | | |--- AP <= 1021.95\n",
"| | | | | | | |--- TIT <= 1084.15\n",
"| | | | | | | | |--- value: [100.13]\n",
"| | | | | | | |--- TIT > 1084.15\n",
"| | | | | | | | |--- AFDP <= 4.46\n",
"| | | | | | | | | |--- TAT <= 536.26\n",
"| | | | | | | | | | |--- AFDP <= 4.05\n",
"| | | | | | | | | | | |--- value: [67.09]\n",
"| | | | | | | | | | |--- AFDP > 4.05\n",
"| | | | | | | | | | | |--- value: [70.88]\n",
"| | | | | | | | | |--- TAT > 536.26\n",
"| | | | | | | | | | |--- AH <= 84.15\n",
"| | | | | | | | | | | |--- value: [60.94]\n",
"| | | | | | | | | | |--- AH > 84.15\n",
"| | | | | | | | | | | |--- value: [71.12]\n",
"| | | | | | | | |--- AFDP > 4.46\n",
"| | | | | | | | | |--- TAT <= 533.42\n",
"| | | | | | | | | | |--- AT <= 12.88\n",
"| | | | | | | | | | | |--- value: [65.93]\n",
"| | | | | | | | | | |--- AT > 12.88\n",
"| | | | | | | | | | | |--- value: [62.35]\n",
"| | | | | | | | | |--- TAT > 533.42\n",
"| | | | | | | | | | |--- AT <= 11.94\n",
"| | | | | | | | | | | |--- value: [82.41]\n",
"| | | | | | | | | | |--- AT > 11.94\n",
"| | | | | | | | | | | |--- value: [67.95]\n",
"| | | | | | |--- AP > 1021.95\n",
"| | | | | | | |--- TAT <= 531.97\n",
"| | | | | | | | |--- AFDP <= 4.58\n",
"| | | | | | | | | |--- TAT <= 528.86\n",
"| | | | | | | | | | |--- value: [64.95]\n",
"| | | | | | | | | |--- TAT > 528.86\n",
"| | | | | | | | | | |--- value: [73.22]\n",
"| | | | | | | | |--- AFDP > 4.58\n",
"| | | | | | | | | |--- TIT <= 1099.55\n",
"| | | | | | | | | | |--- value: [56.52]\n",
"| | | | | | | | | |--- TIT > 1099.55\n",
"| | | | | | | | | | |--- AH <= 82.59\n",
"| | | | | | | | | | | |--- value: [64.39]\n",
"| | | | | | | | | | |--- AH > 82.59\n",
"| | | | | | | | | | | |--- value: [61.99]\n",
"| | | | | | | |--- TAT > 531.97\n",
"| | | | | | | | |--- TIT <= 1099.75\n",
"| | | | | | | | | |--- AP <= 1028.30\n",
"| | | | | | | | | | |--- value: [70.92]\n",
"| | | | | | | | | |--- AP > 1028.30\n",
"| | | | | | | | | | |--- value: [58.12]\n",
"| | | | | | | | |--- TIT > 1099.75\n",
"| | | | | | | | | |--- AH <= 54.39\n",
"| | | | | | | | | | |--- AFDP <= 4.32\n",
"| | | | | | | | | | | |--- value: [60.81]\n",
"| | | | | | | | | | |--- AFDP > 4.32\n",
"| | | | | | | | | | | |--- value: [54.13]\n",
"| | | | | | | | | |--- AH > 54.39\n",
"| | | | | | | | | | |--- AFDP <= 4.67\n",
"| | | | | | | | | | | |--- value: [50.28]\n",
"| | | | | | | | | | |--- AFDP > 4.67\n",
"| | | | | | | | | | | |--- value: [61.43]\n",
"| | | | | |--- TAT > 539.06\n",
"| | | | | | |--- AFDP <= 3.85\n",
"| | | | | | | |--- AFDP <= 3.38\n",
"| | | | | | | | |--- AP <= 1014.95\n",
"| | | | | | | | | |--- TIT <= 1075.75\n",
"| | | | | | | | | | |--- TAT <= 548.99\n",
"| | | | | | | | | | | |--- value: [82.57]\n",
"| | | | | | | | | | |--- TAT > 548.99\n",
"| | | | | | | | | | | |--- value: [66.46]\n",
"| | | | | | | | | |--- TIT > 1075.75\n",
"| | | | | | | | | | |--- AFDP <= 3.25\n",
"| | | | | | | | | | | |--- value: [75.78]\n",
"| | | | | | | | | | |--- AFDP > 3.25\n",
"| | | | | | | | | | | |--- value: [71.65]\n",
"| | | | | | | | |--- AP > 1014.95\n",
"| | | | | | | | | |--- AT <= 11.43\n",
"| | | | | | | | | | |--- TIT <= 1078.05\n",
"| | | | | | | | | | | |--- value: [65.93]\n",
"| | | | | | | | | | |--- TIT > 1078.05\n",
"| | | | | | | | | | | |--- value: [72.92]\n",
"| | | | | | | | | |--- AT > 11.43\n",
"| | | | | | | | | | |--- AFDP <= 3.38\n",
"| | | | | | | | | | | |--- value: [66.35]\n",
"| | | | | | | | | | |--- AFDP > 3.38\n",
"| | | | | | | | | | | |--- value: [107.40]\n",
"| | | | | | | |--- AFDP > 3.38\n",
"| | | | | | | | |--- TIT <= 1065.85\n",
"| | | | | | | | | |--- TAT <= 549.86\n",
"| | | | | | | | | | |--- AH <= 89.36\n",
"| | | | | | | | | | | |--- value: [82.34]\n",
"| | | | | | | | | | |--- AH > 89.36\n",
"| | | | | | | | | | | |--- value: [77.18]\n",
"| | | | | | | | | |--- TAT > 549.86\n",
"| | | | | | | | | | |--- AFDP <= 3.47\n",
"| | | | | | | | | | | |--- value: [60.61]\n",
"| | | | | | | | | | |--- AFDP > 3.47\n",
"| | | | | | | | | | | |--- value: [73.97]\n",
"| | | | | | | | |--- TIT > 1065.85\n",
"| | | | | | | | | |--- TIT <= 1079.05\n",
"| | | | | | | | | | |--- AP <= 1019.05\n",
"| | | | | | | | | | | |--- value: [61.30]\n",
"| | | | | | | | | | |--- AP > 1019.05\n",
"| | | | | | | | | | | |--- value: [66.46]\n",
"| | | | | | | | | |--- TIT > 1079.05\n",
"| | | | | | | | | | |--- AFDP <= 3.80\n",
"| | | | | | | | | | | |--- value: [65.16]\n",
"| | | | | | | | | | |--- AFDP > 3.80\n",
"| | | | | | | | | | | |--- value: [70.47]\n",
"| | | | | | |--- AFDP > 3.85\n",
"| | | | | | | |--- AH <= 98.45\n",
"| | | | | | | | |--- AT <= 11.89\n",
"| | | | | | | | | |--- TIT <= 1065.50\n",
"| | | | | | | | | | |--- value: [90.19]\n",
"| | | | | | | | | |--- TIT > 1065.50\n",
"| | | | | | | | | | |--- TIT <= 1087.55\n",
"| | | | | | | | | | | |--- value: [77.17]\n",
"| | | | | | | | | | |--- TIT > 1087.55\n",
"| | | | | | | | | | | |--- value: [73.99]\n",
"| | | | | | | | |--- AT > 11.89\n",
"| | | | | | | | | |--- AFDP <= 4.62\n",
"| | | | | | | | | | |--- TIT <= 1063.65\n",
"| | | | | | | | | | | |--- value: [80.89]\n",
"| | | | | | | | | | |--- TIT > 1063.65\n",
"| | | | | | | | | | | |--- value: [73.27]\n",
"| | | | | | | | | |--- AFDP > 4.62\n",
"| | | | | | | | | | |--- AH <= 93.49\n",
"| | | | | | | | | | | |--- value: [77.67]\n",
"| | | | | | | | | | |--- AH > 93.49\n",
"| | | | | | | | | | | |--- value: [70.49]\n",
"| | | | | | | |--- AH > 98.45\n",
"| | | | | | | | |--- TIT <= 1080.70\n",
"| | | | | | | | | |--- TIT <= 1068.90\n",
"| | | | | | | | | | |--- value: [73.96]\n",
"| | | | | | | | | |--- TIT > 1068.90\n",
"| | | | | | | | | | |--- TAT <= 550.21\n",
"| | | | | | | | | | | |--- value: [59.66]\n",
"| | | | | | | | | | |--- TAT > 550.21\n",
"| | | | | | | | | | | |--- value: [65.95]\n",
"| | | | | | | | |--- TIT > 1080.70\n",
"| | | | | | | | | |--- AFDP <= 4.14\n",
"| | | | | | | | | | |--- value: [59.26]\n",
"| | | | | | | | | |--- AFDP > 4.14\n",
"| | | | | | | | | | |--- AT <= 12.09\n",
"| | | | | | | | | | | |--- value: [72.67]\n",
"| | | | | | | | | | |--- AT > 12.09\n",
"| | | | | | | | | | | |--- value: [69.34]\n",
"| | | |--- AT > 13.96\n",
"| | | | |--- TIT <= 1083.85\n",
"| | | | | |--- TIT <= 1063.35\n",
"| | | | | | |--- TAT <= 548.77\n",
"| | | | | | | |--- AFDP <= 2.35\n",
"| | | | | | | | |--- TIT <= 1048.65\n",
"| | | | | | | | | |--- value: [77.09]\n",
"| | | | | | | | |--- TIT > 1048.65\n",
"| | | | | | | | | |--- value: [67.25]\n",
"| | | | | | | |--- AFDP > 2.35\n",
"| | | | | | | | |--- TAT <= 546.17\n",
"| | | | | | | | | |--- TAT <= 544.84\n",
"| | | | | | | | | | |--- AT <= 15.83\n",
"| | | | | | | | | | | |--- value: [85.69]\n",
"| | | | | | | | | | |--- AT > 15.83\n",
"| | | | | | | | | | | |--- value: [79.27]\n",
"| | | | | | | | | |--- TAT > 544.84\n",
"| | | | | | | | | | |--- value: [90.65]\n",
"| | | | | | | | |--- TAT > 546.17\n",
"| | | | | | | | | |--- AP <= 1002.45\n",
"| | | | | | | | | | |--- value: [91.47]\n",
"| | | | | | | | | |--- AP > 1002.45\n",
"| | | | | | | | | | |--- TAT <= 548.07\n",
"| | | | | | | | | | | |--- value: [81.24]\n",
"| | | | | | | | | | |--- TAT > 548.07\n",
"| | | | | | | | | | | |--- value: [75.58]\n",
"| | | | | | |--- TAT > 548.77\n",
"| | | | | | | |--- TIT <= 1050.65\n",
"| | | | | | | | |--- AH <= 67.08\n",
"| | | | | | | | | |--- AT <= 16.76\n",
"| | | | | | | | | | |--- TIT <= 1044.35\n",
"| | | | | | | | | | | |--- value: [64.32]\n",
"| | | | | | | | | | |--- TIT > 1044.35\n",
"| | | | | | | | | | | |--- value: [69.45]\n",
"| | | | | | | | | |--- AT > 16.76\n",
"| | | | | | | | | | |--- value: [61.55]\n",
"| | | | | | | | |--- AH > 67.08\n",
"| | | | | | | | | |--- AP <= 1015.50\n",
"| | | | | | | | | | |--- AT <= 15.23\n",
"| | | | | | | | | | | |--- value: [63.98]\n",
"| | | | | | | | | | |--- AT > 15.23\n",
"| | | | | | | | | | | |--- value: [60.58]\n",
"| | | | | | | | | |--- AP > 1015.50\n",
"| | | | | | | | | | |--- AFDP <= 2.33\n",
"| | | | | | | | | | | |--- value: [49.67]\n",
"| | | | | | | | | | |--- AFDP > 2.33\n",
"| | | | | | | | | | | |--- value: [58.82]\n",
"| | | | | | | |--- TIT > 1050.65\n",
"| | | | | | | | |--- AT <= 16.02\n",
"| | | | | | | | | |--- AFDP <= 3.37\n",
"| | | | | | | | | | |--- AFDP <= 2.73\n",
"| | | | | | | | | | | |--- value: [70.81]\n",
"| | | | | | | | | | |--- AFDP > 2.73\n",
"| | | | | | | | | | | |--- value: [64.95]\n",
"| | | | | | | | | |--- AFDP > 3.37\n",
"| | | | | | | | | | |--- AH <= 79.56\n",
"| | | | | | | | | | | |--- value: [76.82]\n",
"| | | | | | | | | | |--- AH > 79.56\n",
"| | | | | | | | | | | |--- value: [70.72]\n",
"| | | | | | | | |--- AT > 16.02\n",
"| | | | | | | | | |--- AFDP <= 3.92\n",
"| | | | | | | | | | |--- AH <= 75.32\n",
"| | | | | | | | | | | |--- value: [68.84]\n",
"| | | | | | | | | | |--- AH > 75.32\n",
"| | | | | | | | | | | |--- value: [63.97]\n",
"| | | | | | | | | |--- AFDP > 3.92\n",
"| | | | | | | | | | |--- AH <= 84.58\n",
"| | | | | | | | | | | |--- value: [72.78]\n",
"| | | | | | | | | | |--- AH > 84.58\n",
"| | | | | | | | | | | |--- value: [67.93]\n",
"| | | | | |--- TIT > 1063.35\n",
"| | | | | | |--- AFDP <= 3.16\n",
"| | | | | | | |--- AP <= 1005.95\n",
"| | | | | | | | |--- TIT <= 1078.30\n",
"| | | | | | | | | |--- TAT <= 549.60\n",
"| | | | | | | | | | |--- value: [81.29]\n",
"| | | | | | | | | |--- TAT > 549.60\n",
"| | | | | | | | | | |--- value: [76.91]\n",
"| | | | | | | | |--- TIT > 1078.30\n",
"| | | | | | | | | |--- value: [74.76]\n",
"| | | | | | | |--- AP > 1005.95\n",
"| | | | | | | | |--- TIT <= 1069.35\n",
"| | | | | | | | | |--- AH <= 63.43\n",
"| | | | | | | | | | |--- value: [72.34]\n",
"| | | | | | | | | |--- AH > 63.43\n",
"| | | | | | | | | | |--- AFDP <= 3.08\n",
"| | | | | | | | | | | |--- value: [62.97]\n",
"| | | | | | | | | | |--- AFDP > 3.08\n",
"| | | | | | | | | | | |--- value: [58.84]\n",
"| | | | | | | | |--- TIT > 1069.35\n",
"| | | | | | | | | |--- TIT <= 1069.65\n",
"| | | | | | | | | | |--- value: [80.54]\n",
"| | | | | | | | | |--- TIT > 1069.65\n",
"| | | | | | | | | | |--- TAT <= 549.97\n",
"| | | | | | | | | | | |--- value: [65.09]\n",
"| | | | | | | | | | |--- TAT > 549.97\n",
"| | | | | | | | | | | |--- value: [69.72]\n",
"| | | | | | |--- AFDP > 3.16\n",
"| | | | | | | |--- AFDP <= 3.47\n",
"| | | | | | | | |--- AH <= 67.30\n",
"| | | | | | | | | |--- AT <= 16.02\n",
"| | | | | | | | | | |--- AP <= 1022.65\n",
"| | | | | | | | | | | |--- value: [64.20]\n",
"| | | | | | | | | | |--- AP > 1022.65\n",
"| | | | | | | | | | | |--- value: [58.57]\n",
"| | | | | | | | | |--- AT > 16.02\n",
"| | | | | | | | | | |--- AP <= 1017.60\n",
"| | | | | | | | | | | |--- value: [61.33]\n",
"| | | | | | | | | | |--- AP > 1017.60\n",
"| | | | | | | | | | | |--- value: [55.89]\n",
"| | | | | | | | |--- AH > 67.30\n",
"| | | | | | | | | |--- TIT <= 1078.65\n",
"| | | | | | | | | | |--- TAT <= 548.87\n",
"| | | | | | | | | | | |--- value: [67.23]\n",
"| | | | | | | | | | |--- TAT > 548.87\n",
"| | | | | | | | | | | |--- value: [54.63]\n",
"| | | | | | | | | |--- TIT > 1078.65\n",
"| | | | | | | | | | |--- AT <= 15.17\n",
"| | | | | | | | | | | |--- value: [62.39]\n",
"| | | | | | | | | | |--- AT > 15.17\n",
"| | | | | | | | | | | |--- value: [58.31]\n",
"| | | | | | | |--- AFDP > 3.47\n",
"| | | | | | | | |--- TIT <= 1074.65\n",
"| | | | | | | | | |--- AH <= 89.27\n",
"| | | | | | | | | | |--- AH <= 71.71\n",
"| | | | | | | | | | | |--- value: [77.76]\n",
"| | | | | | | | | | |--- AH > 71.71\n",
"| | | | | | | | | | | |--- value: [69.05]\n",
"| | | | | | | | | |--- AH > 89.27\n",
"| | | | | | | | | | |--- AT <= 14.68\n",
"| | | | | | | | | | | |--- value: [72.28]\n",
"| | | | | | | | | | |--- AT > 14.68\n",
"| | | | | | | | | | | |--- value: [61.69]\n",
"| | | | | | | | |--- TIT > 1074.65\n",
"| | | | | | | | | |--- AFDP <= 4.52\n",
"| | | | | | | | | | |--- TIT <= 1078.65\n",
"| | | | | | | | | | | |--- value: [59.48]\n",
"| | | | | | | | | | |--- TIT > 1078.65\n",
"| | | | | | | | | | | |--- value: [62.52]\n",
"| | | | | | | | | |--- AFDP > 4.52\n",
"| | | | | | | | | | |--- AH <= 96.35\n",
"| | | | | | | | | | | |--- value: [73.89]\n",
"| | | | | | | | | | |--- AH > 96.35\n",
"| | | | | | | | | | | |--- value: [59.22]\n",
"| | | | |--- TIT > 1083.85\n",
"| | | | | |--- AP <= 1004.95\n",
"| | | | | | |--- AFDP <= 3.38\n",
"| | | | | | | |--- AH <= 96.61\n",
"| | | | | | | | |--- AFDP <= 3.28\n",
"| | | | | | | | | |--- AFDP <= 3.24\n",
"| | | | | | | | | | |--- TIT <= 1085.05\n",
"| | | | | | | | | | | |--- value: [72.47]\n",
"| | | | | | | | | | |--- TIT > 1085.05\n",
"| | | | | | | | | | | |--- value: [75.45]\n",
"| | | | | | | | | |--- AFDP > 3.24\n",
"| | | | | | | | | | |--- AT <= 14.74\n",
"| | | | | | | | | | | |--- value: [81.03]\n",
"| | | | | | | | | | |--- AT > 14.74\n",
"| | | | | | | | | | | |--- value: [76.61]\n",
"| | | | | | | | |--- AFDP > 3.28\n",
"| | | | | | | | | |--- AH <= 81.58\n",
"| | | | | | | | | | |--- AFDP <= 3.34\n",
"| | | | | | | | | | | |--- value: [80.55]\n",
"| | | | | | | | | | |--- AFDP > 3.34\n",
"| | | | | | | | | | | |--- value: [83.90]\n",
"| | | | | | | | | |--- AH > 81.58\n",
"| | | | | | | | | | |--- TIT <= 1086.95\n",
"| | | | | | | | | | | |--- value: [75.82]\n",
"| | | | | | | | | | |--- TIT > 1086.95\n",
"| | | | | | | | | | | |--- value: [80.02]\n",
"| | | | | | | |--- AH > 96.61\n",
"| | | | | | | | |--- value: [101.90]\n",
"| | | | | | |--- AFDP > 3.38\n",
"| | | | | | | |--- AH <= 96.90\n",
"| | | | | | | | |--- TAT <= 542.23\n",
"| | | | | | | | | |--- TAT <= 538.85\n",
"| | | | | | | | | | |--- AFDP <= 4.33\n",
"| | | | | | | | | | | |--- value: [74.42]\n",
"| | | | | | | | | | |--- AFDP > 4.33\n",
"| | | | | | | | | | | |--- value: [68.52]\n",
"| | | | | | | | | |--- TAT > 538.85\n",
"| | | | | | | | | | |--- TIT <= 1096.50\n",
"| | | | | | | | | | | |--- value: [78.49]\n",
"| | | | | | | | | | |--- TIT > 1096.50\n",
"| | | | | | | | | | | |--- value: [61.21]\n",
"| | | | | | | | |--- TAT > 542.23\n",
"| | | | | | | | | |--- TIT <= 1099.85\n",
"| | | | | | | | | | |--- AH <= 88.70\n",
"| | | | | | | | | | | |--- value: [75.79]\n",
"| | | | | | | | | | |--- AH > 88.70\n",
"| | | | | | | | | | | |--- value: [72.21]\n",
"| | | | | | | | | |--- TIT > 1099.85\n",
"| | | | | | | | | | |--- value: [85.79]\n",
"| | | | | | | |--- AH > 96.90\n",
"| | | | | | | | |--- AT <= 15.14\n",
"| | | | | | | | | |--- value: [68.27]\n",
"| | | | | | | | |--- AT > 15.14\n",
"| | | | | | | | | |--- AT <= 15.58\n",
"| | | | | | | | | | |--- value: [65.68]\n",
"| | | | | | | | | |--- AT > 15.58\n",
"| | | | | | | | | | |--- value: [64.59]\n",
"| | | | | |--- AP > 1004.95\n",
"| | | | | | |--- AP <= 1025.95\n",
"| | | | | | | |--- AFDP <= 3.90\n",
"| | | | | | | | |--- AFDP <= 3.61\n",
"| | | | | | | | | |--- AFDP <= 2.85\n",
"| | | | | | | | | | |--- AP <= 1019.75\n",
"| | | | | | | | | | | |--- value: [59.47]\n",
"| | | | | | | | | | |--- AP > 1019.75\n",
"| | | | | | | | | | | |--- value: [66.14]\n",
"| | | | | | | | | |--- AFDP > 2.85\n",
"| | | | | | | | | | |--- TAT <= 540.11\n",
"| | | | | | | | | | | |--- value: [51.31]\n",
"| | | | | | | | | | |--- TAT > 540.11\n",
"| | | | | | | | | | | |--- value: [68.30]\n",
"| | | | | | | | |--- AFDP > 3.61\n",
"| | | | | | | | | |--- AH <= 84.41\n",
"| | | | | | | | | | |--- TIT <= 1086.30\n",
"| | | | | | | | | | | |--- value: [51.63]\n",
"| | | | | | | | | | |--- TIT > 1086.30\n",
"| | | | | | | | | | | |--- value: [62.02]\n",
"| | | | | | | | | |--- AH > 84.41\n",
"| | | | | | | | | | |--- AT <= 14.38\n",
"| | | | | | | | | | | |--- value: [70.18]\n",
"| | | | | | | | | | |--- AT > 14.38\n",
"| | | | | | | | | | | |--- value: [63.88]\n",
"| | | | | | | |--- AFDP > 3.90\n",
"| | | | | | | | |--- AFDP <= 4.19\n",
"| | | | | | | | | |--- TAT <= 529.77\n",
"| | | | | | | | | | |--- value: [48.99]\n",
"| | | | | | | | | |--- TAT > 529.77\n",
"| | | | | | | | | | |--- TAT <= 536.29\n",
"| | | | | | | | | | | |--- value: [74.36]\n",
"| | | | | | | | | | |--- TAT > 536.29\n",
"| | | | | | | | | | | |--- value: [70.15]\n",
"| | | | | | | | |--- AFDP > 4.19\n",
"| | | | | | | | | |--- TAT <= 543.14\n",
"| | | | | | | | | | |--- TAT <= 535.89\n",
"| | | | | | | | | | | |--- value: [65.38]\n",
"| | | | | | | | | | |--- TAT > 535.89\n",
"| | | | | | | | | | | |--- value: [61.13]\n",
"| | | | | | | | | |--- TAT > 543.14\n",
"| | | | | | | | | | |--- AH <= 76.11\n",
"| | | | | | | | | | | |--- value: [75.06]\n",
"| | | | | | | | | | |--- AH > 76.11\n",
"| | | | | | | | | | | |--- value: [69.72]\n",
"| | | | | | |--- AP > 1025.95\n",
"| | | | | | | |--- TIT <= 1090.50\n",
"| | | | | | | | |--- AFDP <= 3.57\n",
"| | | | | | | | | |--- value: [85.92]\n",
"| | | | | | | | |--- AFDP > 3.57\n",
"| | | | | | | | | |--- AFDP <= 4.68\n",
"| | | | | | | | | | |--- AT <= 14.29\n",
"| | | | | | | | | | | |--- value: [80.15]\n",
"| | | | | | | | | | |--- AT > 14.29\n",
"| | | | | | | | | | | |--- value: [75.27]\n",
"| | | | | | | | | |--- AFDP > 4.68\n",
"| | | | | | | | | | |--- value: [79.00]\n",
"| | | | | | | |--- TIT > 1090.50\n",
"| | | | | | | | |--- AFDP <= 4.29\n",
"| | | | | | | | | |--- value: [72.57]\n",
"| | | | | | | | |--- AFDP > 4.29\n",
"| | | | | | | | | |--- AH <= 69.58\n",
"| | | | | | | | | | |--- value: [68.56]\n",
"| | | | | | | | | |--- AH > 69.58\n",
"| | | | | | | | | | |--- value: [66.53]\n",
"|--- AT > 16.96\n",
"| |--- TIT <= 1083.05\n",
"| | |--- AT <= 20.87\n",
"| | | |--- TAT <= 549.47\n",
"| | | | |--- TIT <= 1053.35\n",
"| | | | | |--- TAT <= 546.17\n",
"| | | | | | |--- TIT <= 1045.65\n",
"| | | | | | | |--- AFDP <= 2.42\n",
"| | | | | | | | |--- value: [113.22]\n",
"| | | | | | | |--- AFDP > 2.42\n",
"| | | | | | | | |--- AH <= 83.38\n",
"| | | | | | | | | |--- AH <= 73.56\n",
"| | | | | | | | | | |--- AT <= 19.30\n",
"| | | | | | | | | | | |--- value: [89.17]\n",
"| | | | | | | | | | |--- AT > 19.30\n",
"| | | | | | | | | | | |--- value: [116.04]\n",
"| | | | | | | | | |--- AH > 73.56\n",
"| | | | | | | | | | |--- TAT <= 533.01\n",
"| | | | | | | | | | | |--- value: [85.71]\n",
"| | | | | | | | | | |--- TAT > 533.01\n",
"| | | | | | | | | | | |--- value: [76.08]\n",
"| | | | | | | | |--- AH > 83.38\n",
"| | | | | | | | | |--- AFDP <= 2.82\n",
"| | | | | | | | | | |--- value: [108.44]\n",
"| | | | | | | | | |--- AFDP > 2.82\n",
"| | | | | | | | | | |--- value: [92.93]\n",
"| | | | | | |--- TIT > 1045.65\n",
"| | | | | | | |--- value: [71.37]\n",
"| | | | | |--- TAT > 546.17\n",
"| | | | | | |--- AFDP <= 3.02\n",
"| | | | | | | |--- TAT <= 547.51\n",
"| | | | | | | | |--- AT <= 19.22\n",
"| | | | | | | | | |--- AH <= 87.98\n",
"| | | | | | | | | | |--- value: [73.94]\n",
"| | | | | | | | | |--- AH > 87.98\n",
"| | | | | | | | | | |--- value: [81.07]\n",
"| | | | | | | | |--- AT > 19.22\n",
"| | | | | | | | | |--- value: [90.98]\n",
"| | | | | | | |--- TAT > 547.51\n",
"| | | | | | | | |--- AH <= 89.36\n",
"| | | | | | | | | |--- AT <= 19.35\n",
"| | | | | | | | | | |--- TIT <= 1046.20\n",
"| | | | | | | | | | | |--- value: [68.68]\n",
"| | | | | | | | | | |--- TIT > 1046.20\n",
"| | | | | | | | | | | |--- value: [64.52]\n",
"| | | | | | | | | |--- AT > 19.35\n",
"| | | | | | | | | | |--- value: [73.95]\n",
"| | | | | | | | |--- AH > 89.36\n",
"| | | | | | | | | |--- value: [77.18]\n",
"| | | | | | |--- AFDP > 3.02\n",
"| | | | | | | |--- AH <= 95.87\n",
"| | | | | | | | |--- AFDP <= 3.34\n",
"| | | | | | | | | |--- AT <= 18.82\n",
"| | | | | | | | | | |--- value: [89.08]\n",
"| | | | | | | | | |--- AT > 18.82\n",
"| | | | | | | | | | |--- value: [83.15]\n",
"| | | | | | | | |--- AFDP > 3.34\n",
"| | | | | | | | | |--- AT <= 19.46\n",
"| | | | | | | | | | |--- AH <= 76.19\n",
"| | | | | | | | | | | |--- value: [76.06]\n",
"| | | | | | | | | | |--- AH > 76.19\n",
"| | | | | | | | | | | |--- value: [81.60]\n",
"| | | | | | | | | |--- AT > 19.46\n",
"| | | | | | | | | | |--- value: [72.84]\n",
"| | | | | | | |--- AH > 95.87\n",
"| | | | | | | | |--- value: [69.76]\n",
"| | | | |--- TIT > 1053.35\n",
"| | | | | |--- TAT <= 543.29\n",
"| | | | | | |--- TIT <= 1075.55\n",
"| | | | | | | |--- value: [79.12]\n",
"| | | | | | |--- TIT > 1075.55\n",
"| | | | | | | |--- value: [65.16]\n",
"| | | | | |--- TAT > 543.29\n",
"| | | | | | |--- AT <= 19.55\n",
"| | | | | | | |--- TIT <= 1078.10\n",
"| | | | | | | | |--- AP <= 1019.45\n",
"| | | | | | | | | |--- AP <= 1012.10\n",
"| | | | | | | | | | |--- AH <= 88.79\n",
"| | | | | | | | | | | |--- value: [69.17]\n",
"| | | | | | | | | | |--- AH > 88.79\n",
"| | | | | | | | | | | |--- value: [60.75]\n",
"| | | | | | | | | |--- AP > 1012.10\n",
"| | | | | | | | | | |--- AFDP <= 3.11\n",
"| | | | | | | | | | | |--- value: [54.72]\n",
"| | | | | | | | | | |--- AFDP > 3.11\n",
"| | | | | | | | | | | |--- value: [61.77]\n",
"| | | | | | | | |--- AP > 1019.45\n",
"| | | | | | | | | |--- value: [77.85]\n",
"| | | | | | | |--- TIT > 1078.10\n",
"| | | | | | | | |--- value: [55.14]\n",
"| | | | | | |--- AT > 19.55\n",
"| | | | | | | |--- AFDP <= 3.48\n",
"| | | | | | | | |--- value: [67.06]\n",
"| | | | | | | |--- AFDP > 3.48\n",
"| | | | | | | | |--- TAT <= 549.35\n",
"| | | | | | | | | |--- TIT <= 1081.40\n",
"| | | | | | | | | | |--- AT <= 20.38\n",
"| | | | | | | | | | | |--- value: [54.87]\n",
"| | | | | | | | | | |--- AT > 20.38\n",
"| | | | | | | | | | | |--- value: [50.71]\n",
"| | | | | | | | | |--- TIT > 1081.40\n",
"| | | | | | | | | | |--- value: [58.23]\n",
"| | | | | | | | |--- TAT > 549.35\n",
"| | | | | | | | | |--- value: [60.44]\n",
"| | | |--- TAT > 549.47\n",
"| | | | |--- AT <= 18.70\n",
"| | | | | |--- AFDP <= 3.95\n",
"| | | | | | |--- TAT <= 550.28\n",
"| | | | | | | |--- AFDP <= 3.07\n",
"| | | | | | | | |--- TIT <= 1069.75\n",
"| | | | | | | | | |--- TIT <= 1051.15\n",
"| | | | | | | | | | |--- AH <= 90.99\n",
"| | | | | | | | | | | |--- value: [56.92]\n",
"| | | | | | | | | | |--- AH > 90.99\n",
"| | | | | | | | | | | |--- value: [80.41]\n",
"| | | | | | | | | |--- TIT > 1051.15\n",
"| | | | | | | | | | |--- AH <= 69.45\n",
"| | | | | | | | | | | |--- value: [67.71]\n",
"| | | | | | | | | | |--- AH > 69.45\n",
"| | | | | | | | | | | |--- value: [62.43]\n",
"| | | | | | | | |--- TIT > 1069.75\n",
"| | | | | | | | | |--- AP <= 1012.40\n",
"| | | | | | | | | | |--- TIT <= 1079.75\n",
"| | | | | | | | | | | |--- value: [79.51]\n",
"| | | | | | | | | | |--- TIT > 1079.75\n",
"| | | | | | | | | | | |--- value: [81.85]\n",
"| | | | | | | | | |--- AP > 1012.40\n",
"| | | | | | | | | | |--- AH <= 79.07\n",
"| | | | | | | | | | | |--- value: [71.23]\n",
"| | | | | | | | | | |--- AH > 79.07\n",
"| | | | | | | | | | | |--- value: [77.34]\n",
"| | | | | | | |--- AFDP > 3.07\n",
"| | | | | | | | |--- TIT <= 1079.75\n",
"| | | | | | | | | |--- TIT <= 1065.50\n",
"| | | | | | | | | | |--- AH <= 80.79\n",
"| | | | | | | | | | | |--- value: [65.55]\n",
"| | | | | | | | | | |--- AH > 80.79\n",
"| | | | | | | | | | | |--- value: [60.04]\n",
"| | | | | | | | | |--- TIT > 1065.50\n",
"| | | | | | | | | | |--- AH <= 62.90\n",
"| | | | | | | | | | | |--- value: [62.62]\n",
"| | | | | | | | | | |--- AH > 62.90\n",
"| | | | | | | | | | | |--- value: [55.15]\n",
"| | | | | | | | |--- TIT > 1079.75\n",
"| | | | | | | | | |--- AP <= 1003.60\n",
"| | | | | | | | | | |--- AH <= 84.80\n",
"| | | | | | | | | | | |--- value: [70.19]\n",
"| | | | | | | | | | |--- AH > 84.80\n",
"| | | | | | | | | | | |--- value: [61.63]\n",
"| | | | | | | | | |--- AP > 1003.60\n",
"| | | | | | | | | | |--- AFDP <= 3.83\n",
"| | | | | | | | | | | |--- value: [62.45]\n",
"| | | | | | | | | | |--- AFDP > 3.83\n",
"| | | | | | | | | | | |--- value: [59.20]\n",
"| | | | | | |--- TAT > 550.28\n",
"| | | | | | | |--- AFDP <= 2.67\n",
"| | | | | | | | |--- value: [66.41]\n",
"| | | | | | | |--- AFDP > 2.67\n",
"| | | | | | | | |--- TAT <= 550.38\n",
"| | | | | | | | | |--- AFDP <= 3.81\n",
"| | | | | | | | | | |--- AH <= 68.16\n",
"| | | | | | | | | | | |--- value: [62.05]\n",
"| | | | | | | | | | |--- AH > 68.16\n",
"| | | | | | | | | | | |--- value: [51.11]\n",
"| | | | | | | | | |--- AFDP > 3.81\n",
"| | | | | | | | | | |--- value: [43.29]\n",
"| | | | | | | | |--- TAT > 550.38\n",
"| | | | | | | | | |--- AH <= 87.61\n",
"| | | | | | | | | | |--- AH <= 83.00\n",
"| | | | | | | | | | | |--- value: [55.60]\n",
"| | | | | | | | | | |--- AH > 83.00\n",
"| | | | | | | | | | | |--- value: [48.25]\n",
"| | | | | | | | | |--- AH > 87.61\n",
"| | | | | | | | | | |--- value: [60.09]\n",
"| | | | | |--- AFDP > 3.95\n",
"| | | | | | |--- AH <= 84.78\n",
"| | | | | | | |--- AH <= 68.06\n",
"| | | | | | | | |--- AFDP <= 4.36\n",
"| | | | | | | | | |--- TIT <= 1057.10\n",
"| | | | | | | | | | |--- value: [77.93]\n",
"| | | | | | | | | |--- TIT > 1057.10\n",
"| | | | | | | | | | |--- AT <= 18.38\n",
"| | | | | | | | | | | |--- value: [73.29]\n",
"| | | | | | | | | | |--- AT > 18.38\n",
"| | | | | | | | | | | |--- value: [70.32]\n",
"| | | | | | | | |--- AFDP > 4.36\n",
"| | | | | | | | | |--- value: [77.03]\n",
"| | | | | | | |--- AH > 68.06\n",
"| | | | | | | | |--- AP <= 1015.75\n",
"| | | | | | | | | |--- AT <= 18.61\n",
"| | | | | | | | | | |--- AH <= 83.64\n",
"| | | | | | | | | | | |--- value: [69.65]\n",
"| | | | | | | | | | |--- AH > 83.64\n",
"| | | | | | | | | | | |--- value: [78.38]\n",
"| | | | | | | | | |--- AT > 18.61\n",
"| | | | | | | | | | |--- value: [85.35]\n",
"| | | | | | | | |--- AP > 1015.75\n",
"| | | | | | | | | |--- AT <= 18.16\n",
"| | | | | | | | | | |--- TIT <= 1060.20\n",
"| | | | | | | | | | | |--- value: [66.66]\n",
"| | | | | | | | | | |--- TIT > 1060.20\n",
"| | | | | | | | | | | |--- value: [63.59]\n",
"| | | | | | | | | |--- AT > 18.16\n",
"| | | | | | | | | | |--- value: [60.27]\n",
"| | | | | | |--- AH > 84.78\n",
"| | | | | | | |--- TIT <= 1059.55\n",
"| | | | | | | | |--- AH <= 86.91\n",
"| | | | | | | | | |--- value: [76.92]\n",
"| | | | | | | | |--- AH > 86.91\n",
"| | | | | | | | | |--- AP <= 1012.60\n",
"| | | | | | | | | | |--- AH <= 100.05\n",
"| | | | | | | | | | | |--- value: [68.36]\n",
"| | | | | | | | | | |--- AH > 100.05\n",
"| | | | | | | | | | | |--- value: [59.97]\n",
"| | | | | | | | | |--- AP > 1012.60\n",
"| | | | | | | | | | |--- value: [62.95]\n",
"| | | | | | | |--- TIT > 1059.55\n",
"| | | | | | | | |--- AFDP <= 4.72\n",
"| | | | | | | | | |--- AP <= 1014.85\n",
"| | | | | | | | | | |--- TIT <= 1064.00\n",
"| | | | | | | | | | | |--- value: [58.11]\n",
"| | | | | | | | | | |--- TIT > 1064.00\n",
"| | | | | | | | | | | |--- value: [62.98]\n",
"| | | | | | | | | |--- AP > 1014.85\n",
"| | | | | | | | | | |--- AFDP <= 3.99\n",
"| | | | | | | | | | | |--- value: [62.88]\n",
"| | | | | | | | | | |--- AFDP > 3.99\n",
"| | | | | | | | | | | |--- value: [58.29]\n",
"| | | | | | | | |--- AFDP > 4.72\n",
"| | | | | | | | | |--- TAT <= 549.78\n",
"| | | | | | | | | | |--- value: [73.09]\n",
"| | | | | | | | | |--- TAT > 549.78\n",
"| | | | | | | | | | |--- TAT <= 549.94\n",
"| | | | | | | | | | | |--- value: [66.73]\n",
"| | | | | | | | | | |--- TAT > 549.94\n",
"| | | | | | | | | | | |--- value: [69.05]\n",
"| | | | |--- AT > 18.70\n",
"| | | | | |--- AH <= 76.80\n",
"| | | | | | |--- AP <= 1001.80\n",
"| | | | | | | |--- TAT <= 550.09\n",
"| | | | | | | | |--- AP <= 991.14\n",
"| | | | | | | | | |--- value: [76.94]\n",
"| | | | | | | | |--- AP > 991.14\n",
"| | | | | | | | | |--- AFDP <= 2.64\n",
"| | | | | | | | | | |--- value: [63.91]\n",
"| | | | | | | | | |--- AFDP > 2.64\n",
"| | | | | | | | | | |--- TIT <= 1047.25\n",
"| | | | | | | | | | | |--- value: [76.49]\n",
"| | | | | | | | | | |--- TIT > 1047.25\n",
"| | | | | | | | | | | |--- value: [71.32]\n",
"| | | | | | | |--- TAT > 550.09\n",
"| | | | | | | | |--- value: [66.49]\n",
"| | | | | | |--- AP > 1001.80\n",
"| | | | | | | |--- AFDP <= 3.57\n",
"| | | | | | | | |--- TIT <= 1062.55\n",
"| | | | | | | | | |--- TIT <= 1052.70\n",
"| | | | | | | | | | |--- TAT <= 549.56\n",
"| | | | | | | | | | | |--- value: [70.72]\n",
"| | | | | | | | | | |--- TAT > 549.56\n",
"| | | | | | | | | | | |--- value: [56.33]\n",
"| | | | | | | | | |--- TIT > 1052.70\n",
"| | | | | | | | | | |--- AH <= 65.23\n",
"| | | | | | | | | | | |--- value: [67.19]\n",
"| | | | | | | | | | |--- AH > 65.23\n",
"| | | | | | | | | | | |--- value: [60.31]\n",
"| | | | | | | | |--- TIT > 1062.55\n",
"| | | | | | | | | |--- AFDP <= 3.10\n",
"| | | | | | | | | | |--- TIT <= 1066.40\n",
"| | | | | | | | | | | |--- value: [52.86]\n",
"| | | | | | | | | | |--- TIT > 1066.40\n",
"| | | | | | | | | | | |--- value: [70.47]\n",
"| | | | | | | | | |--- AFDP > 3.10\n",
"| | | | | | | | | | |--- TIT <= 1080.20\n",
"| | | | | | | | | | | |--- value: [51.73]\n",
"| | | | | | | | | | |--- TIT > 1080.20\n",
"| | | | | | | | | | | |--- value: [58.46]\n",
"| | | | | | | |--- AFDP > 3.57\n",
"| | | | | | | | |--- TIT <= 1076.65\n",
"| | | | | | | | | |--- AH <= 72.55\n",
"| | | | | | | | | | |--- AP <= 1019.20\n",
"| | | | | | | | | | | |--- value: [70.81]\n",
"| | | | | | | | | | |--- AP > 1019.20\n",
"| | | | | | | | | | | |--- value: [64.20]\n",
"| | | | | | | | | |--- AH > 72.55\n",
"| | | | | | | | | | |--- value: [60.68]\n",
"| | | | | | | | |--- TIT > 1076.65\n",
"| | | | | | | | | |--- AP <= 1014.15\n",
"| | | | | | | | | | |--- AH <= 75.95\n",
"| | | | | | | | | | | |--- value: [63.79]\n",
"| | | | | | | | | | |--- AH > 75.95\n",
"| | | | | | | | | | | |--- value: [43.23]\n",
"| | | | | | | | | |--- AP > 1014.15\n",
"| | | | | | | | | | |--- AFDP <= 3.78\n",
"| | | | | | | | | | | |--- value: [62.14]\n",
"| | | | | | | | | | |--- AFDP > 3.78\n",
"| | | | | | | | | | | |--- value: [53.51]\n",
"| | | | | |--- AH > 76.80\n",
"| | | | | | |--- AFDP <= 4.18\n",
"| | | | | | | |--- TIT <= 1073.55\n",
"| | | | | | | | |--- AH <= 92.44\n",
"| | | | | | | | | |--- TAT <= 550.21\n",
"| | | | | | | | | | |--- AT <= 19.86\n",
"| | | | | | | | | | | |--- value: [58.80]\n",
"| | | | | | | | | | |--- AT > 19.86\n",
"| | | | | | | | | | | |--- value: [56.83]\n",
"| | | | | | | | | |--- TAT > 550.21\n",
"| | | | | | | | | | |--- AP <= 1006.45\n",
"| | | | | | | | | | | |--- value: [60.67]\n",
"| | | | | | | | | | |--- AP > 1006.45\n",
"| | | | | | | | | | | |--- value: [54.03]\n",
"| | | | | | | | |--- AH > 92.44\n",
"| | | | | | | | | |--- AFDP <= 3.10\n",
"| | | | | | | | | | |--- AH <= 96.08\n",
"| | | | | | | | | | | |--- value: [58.06]\n",
"| | | | | | | | | | |--- AH > 96.08\n",
"| | | | | | | | | | | |--- value: [63.08]\n",
"| | | | | | | | | |--- AFDP > 3.10\n",
"| | | | | | | | | | |--- AH <= 98.99\n",
"| | | | | | | | | | | |--- value: [55.17]\n",
"| | | | | | | | | | |--- AH > 98.99\n",
"| | | | | | | | | | | |--- value: [50.05]\n",
"| | | | | | | |--- TIT > 1073.55\n",
"| | | | | | | | |--- TIT <= 1080.70\n",
"| | | | | | | | | |--- AFDP <= 3.13\n",
"| | | | | | | | | | |--- value: [80.26]\n",
"| | | | | | | | | |--- AFDP > 3.13\n",
"| | | | | | | | | | |--- AH <= 90.84\n",
"| | | | | | | | | | | |--- value: [53.36]\n",
"| | | | | | | | | | |--- AH > 90.84\n",
"| | | | | | | | | | | |--- value: [50.74]\n",
"| | | | | | | | |--- TIT > 1080.70\n",
"| | | | | | | | | |--- AT <= 20.06\n",
"| | | | | | | | | | |--- TAT <= 550.27\n",
"| | | | | | | | | | | |--- value: [61.68]\n",
"| | | | | | | | | | |--- TAT > 550.27\n",
"| | | | | | | | | | | |--- value: [51.64]\n",
"| | | | | | | | | |--- AT > 20.06\n",
"| | | | | | | | | | |--- AP <= 1012.70\n",
"| | | | | | | | | | | |--- value: [60.73]\n",
"| | | | | | | | | | |--- AP > 1012.70\n",
"| | | | | | | | | | | |--- value: [54.65]\n",
"| | | | | | |--- AFDP > 4.18\n",
"| | | | | | | |--- TIT <= 1074.40\n",
"| | | | | | | | |--- AFDP <= 4.25\n",
"| | | | | | | | | |--- value: [72.82]\n",
"| | | | | | | | |--- AFDP > 4.25\n",
"| | | | | | | | | |--- AP <= 1009.35\n",
"| | | | | | | | | | |--- value: [61.41]\n",
"| | | | | | | | | |--- AP > 1009.35\n",
"| | | | | | | | | | |--- AH <= 89.61\n",
"| | | | | | | | | | | |--- value: [65.51]\n",
"| | | | | | | | | | |--- AH > 89.61\n",
"| | | | | | | | | | | |--- value: [62.77]\n",
"| | | | | | | |--- TIT > 1074.40\n",
"| | | | | | | | |--- TIT <= 1081.50\n",
"| | | | | | | | | |--- AT <= 20.73\n",
"| | | | | | | | | | |--- TAT <= 549.86\n",
"| | | | | | | | | | | |--- value: [61.63]\n",
"| | | | | | | | | | |--- TAT > 549.86\n",
"| | | | | | | | | | | |--- value: [57.18]\n",
"| | | | | | | | | |--- AT > 20.73\n",
"| | | | | | | | | | |--- value: [53.84]\n",
"| | | | | | | | |--- TIT > 1081.50\n",
"| | | | | | | | | |--- value: [64.31]\n",
"| | |--- AT > 20.87\n",
"| | | |--- AT <= 22.88\n",
"| | | | |--- AH <= 83.21\n",
"| | | | | |--- AFDP <= 3.92\n",
"| | | | | | |--- TAT <= 550.15\n",
"| | | | | | | |--- AFDP <= 2.69\n",
"| | | | | | | | |--- TAT <= 549.40\n",
"| | | | | | | | | |--- value: [72.19]\n",
"| | | | | | | | |--- TAT > 549.40\n",
"| | | | | | | | | |--- value: [57.81]\n",
"| | | | | | | |--- AFDP > 2.69\n",
"| | | | | | | | |--- TIT <= 1080.95\n",
"| | | | | | | | | |--- TIT <= 1074.70\n",
"| | | | | | | | | | |--- AT <= 22.24\n",
"| | | | | | | | | | | |--- value: [58.06]\n",
"| | | | | | | | | | |--- AT > 22.24\n",
"| | | | | | | | | | | |--- value: [55.24]\n",
"| | | | | | | | | |--- TIT > 1074.70\n",
"| | | | | | | | | | |--- AFDP <= 3.32\n",
"| | | | | | | | | | | |--- value: [62.09]\n",
"| | | | | | | | | | |--- AFDP > 3.32\n",
"| | | | | | | | | | | |--- value: [53.42]\n",
"| | | | | | | | |--- TIT > 1080.95\n",
"| | | | | | | | | |--- AH <= 63.29\n",
"| | | | | | | | | | |--- value: [66.65]\n",
"| | | | | | | | | |--- AH > 63.29\n",
"| | | | | | | | | | |--- AFDP <= 3.87\n",
"| | | | | | | | | | | |--- value: [61.72]\n",
"| | | | | | | | | | |--- AFDP > 3.87\n",
"| | | | | | | | | | | |--- value: [52.59]\n",
"| | | | | | |--- TAT > 550.15\n",
"| | | | | | | |--- TIT <= 1047.95\n",
"| | | | | | | | |--- value: [62.10]\n",
"| | | | | | | |--- TIT > 1047.95\n",
"| | | | | | | | |--- TIT <= 1082.30\n",
"| | | | | | | | | |--- AP <= 1017.00\n",
"| | | | | | | | | | |--- TIT <= 1070.85\n",
"| | | | | | | | | | | |--- value: [54.43]\n",
"| | | | | | | | | | |--- TIT > 1070.85\n",
"| | | | | | | | | | | |--- value: [51.91]\n",
"| | | | | | | | | |--- AP > 1017.00\n",
"| | | | | | | | | | |--- TAT <= 550.38\n",
"| | | | | | | | | | | |--- value: [50.04]\n",
"| | | | | | | | | | |--- TAT > 550.38\n",
"| | | | | | | | | | | |--- value: [46.26]\n",
"| | | | | | | | |--- TIT > 1082.30\n",
"| | | | | | | | | |--- value: [61.48]\n",
"| | | | | |--- AFDP > 3.92\n",
"| | | | | | |--- AP <= 1015.95\n",
"| | | | | | | |--- AH <= 77.28\n",
"| | | | | | | | |--- AH <= 76.68\n",
"| | | | | | | | | |--- AP <= 1010.00\n",
"| | | | | | | | | | |--- AFDP <= 3.92\n",
"| | | | | | | | | | | |--- value: [73.76]\n",
"| | | | | | | | | | |--- AFDP > 3.92\n",
"| | | | | | | | | | | |--- value: [65.73]\n",
"| | | | | | | | | |--- AP > 1010.00\n",
"| | | | | | | | | | |--- AT <= 21.78\n",
"| | | | | | | | | | | |--- value: [59.60]\n",
"| | | | | | | | | | |--- AT > 21.78\n",
"| | | | | | | | | | | |--- value: [64.28]\n",
"| | | | | | | | |--- AH > 76.68\n",
"| | | | | | | | | |--- value: [77.91]\n",
"| | | | | | | |--- AH > 77.28\n",
"| | | | | | | | |--- AFDP <= 4.05\n",
"| | | | | | | | | |--- value: [52.97]\n",
"| | | | | | | | |--- AFDP > 4.05\n",
"| | | | | | | | | |--- AP <= 1011.80\n",
"| | | | | | | | | | |--- AFDP <= 4.14\n",
"| | | | | | | | | | | |--- value: [58.02]\n",
"| | | | | | | | | | |--- AFDP > 4.14\n",
"| | | | | | | | | | | |--- value: [63.02]\n",
"| | | | | | | | | |--- AP > 1011.80\n",
"| | | | | | | | | | |--- value: [56.37]\n",
"| | | | | | |--- AP > 1015.95\n",
"| | | | | | | |--- AH <= 66.32\n",
"| | | | | | | | |--- value: [60.79]\n",
"| | | | | | | |--- AH > 66.32\n",
"| | | | | | | | |--- AH <= 75.48\n",
"| | | | | | | | | |--- AP <= 1022.65\n",
"| | | | | | | | | | |--- TIT <= 1067.80\n",
"| | | | | | | | | | | |--- value: [57.56]\n",
"| | | | | | | | | | |--- TIT > 1067.80\n",
"| | | | | | | | | | | |--- value: [56.49]\n",
"| | | | | | | | | |--- AP > 1022.65\n",
"| | | | | | | | | | |--- value: [60.32]\n",
"| | | | | | | | |--- AH > 75.48\n",
"| | | | | | | | | |--- TAT <= 550.23\n",
"| | | | | | | | | | |--- AP <= 1018.50\n",
"| | | | | | | | | | | |--- value: [52.26]\n",
"| | | | | | | | | | |--- AP > 1018.50\n",
"| | | | | | | | | | | |--- value: [55.09]\n",
"| | | | | | | | | |--- TAT > 550.23\n",
"| | | | | | | | | | |--- value: [60.78]\n",
"| | | | |--- AH > 83.21\n",
"| | | | | |--- TAT <= 547.70\n",
"| | | | | | |--- value: [65.18]\n",
"| | | | | |--- TAT > 547.70\n",
"| | | | | | |--- AT <= 21.29\n",
"| | | | | | | |--- AFDP <= 3.03\n",
"| | | | | | | | |--- AFDP <= 2.87\n",
"| | | | | | | | | |--- value: [65.88]\n",
"| | | | | | | | |--- AFDP > 2.87\n",
"| | | | | | | | | |--- TAT <= 550.07\n",
"| | | | | | | | | | |--- value: [59.08]\n",
"| | | | | | | | | |--- TAT > 550.07\n",
"| | | | | | | | | | |--- value: [54.48]\n",
"| | | | | | | |--- AFDP > 3.03\n",
"| | | | | | | | |--- TIT <= 1081.95\n",
"| | | | | | | | | |--- TIT <= 1072.80\n",
"| | | | | | | | | | |--- TIT <= 1072.45\n",
"| | | | | | | | | | | |--- value: [54.64]\n",
"| | | | | | | | | | |--- TIT > 1072.45\n",
"| | | | | | | | | | | |--- value: [63.93]\n",
"| | | | | | | | | |--- TIT > 1072.80\n",
"| | | | | | | | | | |--- AFDP <= 3.66\n",
"| | | | | | | | | | | |--- value: [57.00]\n",
"| | | | | | | | | | |--- AFDP > 3.66\n",
"| | | | | | | | | | | |--- value: [51.08]\n",
"| | | | | | | | |--- TIT > 1081.95\n",
"| | | | | | | | | |--- value: [60.64]\n",
"| | | | | | |--- AT > 21.29\n",
"| | | | | | | |--- AH <= 96.39\n",
"| | | | | | | | |--- AP <= 1004.05\n",
"| | | | | | | | | |--- TAT <= 550.05\n",
"| | | | | | | | | | |--- value: [52.38]\n",
"| | | | | | | | | |--- TAT > 550.05\n",
"| | | | | | | | | | |--- value: [42.96]\n",
"| | | | | | | | |--- AP > 1004.05\n",
"| | | | | | | | | |--- AFDP <= 4.14\n",
"| | | | | | | | | | |--- AT <= 21.85\n",
"| | | | | | | | | | | |--- value: [53.48]\n",
"| | | | | | | | | | |--- AT > 21.85\n",
"| | | | | | | | | | | |--- value: [51.87]\n",
"| | | | | | | | | |--- AFDP > 4.14\n",
"| | | | | | | | | | |--- AT <= 22.74\n",
"| | | | | | | | | | | |--- value: [54.91]\n",
"| | | | | | | | | | |--- AT > 22.74\n",
"| | | | | | | | | | | |--- value: [68.98]\n",
"| | | | | | | |--- AH > 96.39\n",
"| | | | | | | | |--- AP <= 1012.05\n",
"| | | | | | | | | |--- AT <= 21.91\n",
"| | | | | | | | | | |--- TIT <= 1078.20\n",
"| | | | | | | | | | | |--- value: [51.57]\n",
"| | | | | | | | | | |--- TIT > 1078.20\n",
"| | | | | | | | | | | |--- value: [59.05]\n",
"| | | | | | | | | |--- AT > 21.91\n",
"| | | | | | | | | | |--- AT <= 22.00\n",
"| | | | | | | | | | | |--- value: [43.03]\n",
"| | | | | | | | | | |--- AT > 22.00\n",
"| | | | | | | | | | | |--- value: [48.46]\n",
"| | | | | | | | |--- AP > 1012.05\n",
"| | | | | | | | | |--- value: [41.78]\n",
"| | | |--- AT > 22.88\n",
"| | | | |--- AH <= 75.36\n",
"| | | | | |--- AT <= 27.14\n",
"| | | | | | |--- AFDP <= 4.16\n",
"| | | | | | | |--- AH <= 53.86\n",
"| | | | | | | | |--- AP <= 1010.30\n",
"| | | | | | | | | |--- AFDP <= 3.46\n",
"| | | | | | | | | | |--- AH <= 51.00\n",
"| | | | | | | | | | | |--- value: [51.98]\n",
"| | | | | | | | | | |--- AH > 51.00\n",
"| | | | | | | | | | | |--- value: [56.07]\n",
"| | | | | | | | | |--- AFDP > 3.46\n",
"| | | | | | | | | | |--- value: [58.58]\n",
"| | | | | | | | |--- AP > 1010.30\n",
"| | | | | | | | | |--- AT <= 24.88\n",
"| | | | | | | | | | |--- AP <= 1012.05\n",
"| | | | | | | | | | | |--- value: [63.09]\n",
"| | | | | | | | | | |--- AP > 1012.05\n",
"| | | | | | | | | | | |--- value: [57.94]\n",
"| | | | | | | | | |--- AT > 24.88\n",
"| | | | | | | | | | |--- AP <= 1015.95\n",
"| | | | | | | | | | | |--- value: [57.53]\n",
"| | | | | | | | | | |--- AP > 1015.95\n",
"| | | | | | | | | | | |--- value: [54.30]\n",
"| | | | | | | |--- AH > 53.86\n",
"| | | | | | | | |--- AFDP <= 2.68\n",
"| | | | | | | | | |--- value: [67.21]\n",
"| | | | | | | | |--- AFDP > 2.68\n",
"| | | | | | | | | |--- AT <= 24.84\n",
"| | | | | | | | | | |--- TAT <= 550.34\n",
"| | | | | | | | | | | |--- value: [55.09]\n",
"| | | | | | | | | | |--- TAT > 550.34\n",
"| | | | | | | | | | | |--- value: [50.78]\n",
"| | | | | | | | | |--- AT > 24.84\n",
"| | | | | | | | | | |--- TAT <= 550.40\n",
"| | | | | | | | | | | |--- value: [52.83]\n",
"| | | | | | | | | | |--- TAT > 550.40\n",
"| | | | | | | | | | | |--- value: [45.26]\n",
"| | | | | | |--- AFDP > 4.16\n",
"| | | | | | | |--- AP <= 1015.40\n",
"| | | | | | | | |--- AT <= 25.41\n",
"| | | | | | | | | |--- AH <= 57.28\n",
"| | | | | | | | | | |--- value: [66.56]\n",
"| | | | | | | | | |--- AH > 57.28\n",
"| | | | | | | | | | |--- TAT <= 549.69\n",
"| | | | | | | | | | | |--- value: [56.29]\n",
"| | | | | | | | | | |--- TAT > 549.69\n",
"| | | | | | | | | | | |--- value: [61.02]\n",
"| | | | | | | | |--- AT > 25.41\n",
"| | | | | | | | | |--- TIT <= 1064.00\n",
"| | | | | | | | | | |--- value: [52.34]\n",
"| | | | | | | | | |--- TIT > 1064.00\n",
"| | | | | | | | | | |--- AH <= 67.96\n",
"| | | | | | | | | | | |--- value: [57.53]\n",
"| | | | | | | | | | |--- AH > 67.96\n",
"| | | | | | | | | | | |--- value: [54.58]\n",
"| | | | | | | |--- AP > 1015.40\n",
"| | | | | | | | |--- AH <= 64.10\n",
"| | | | | | | | | |--- value: [75.10]\n",
"| | | | | | | | |--- AH > 64.10\n",
"| | | | | | | | | |--- value: [56.08]\n",
"| | | | | |--- AT > 27.14\n",
"| | | | | | |--- AH <= 56.81\n",
"| | | | | | | |--- TIT <= 1062.35\n",
"| | | | | | | | |--- AP <= 1010.40\n",
"| | | | | | | | | |--- TAT <= 550.18\n",
"| | | | | | | | | | |--- AH <= 43.57\n",
"| | | | | | | | | | | |--- value: [52.32]\n",
"| | | | | | | | | | |--- AH > 43.57\n",
"| | | | | | | | | | | |--- value: [49.94]\n",
"| | | | | | | | | |--- TAT > 550.18\n",
"| | | | | | | | | | |--- value: [46.25]\n",
"| | | | | | | | |--- AP > 1010.40\n",
"| | | | | | | | | |--- TIT <= 1056.70\n",
"| | | | | | | | | | |--- AH <= 45.09\n",
"| | | | | | | | | | | |--- value: [51.26]\n",
"| | | | | | | | | | |--- AH > 45.09\n",
"| | | | | | | | | | | |--- value: [47.42]\n",
"| | | | | | | | | |--- TIT > 1056.70\n",
"| | | | | | | | | | |--- AH <= 35.95\n",
"| | | | | | | | | | | |--- value: [59.47]\n",
"| | | | | | | | | | |--- AH > 35.95\n",
"| | | | | | | | | | | |--- value: [52.77]\n",
"| | | | | | | |--- TIT > 1062.35\n",
"| | | | | | | | |--- AP <= 1004.35\n",
"| | | | | | | | | |--- AFDP <= 4.29\n",
"| | | | | | | | | | |--- TIT <= 1081.70\n",
"| | | | | | | | | | | |--- value: [46.09]\n",
"| | | | | | | | | | |--- TIT > 1081.70\n",
"| | | | | | | | | | | |--- value: [50.63]\n",
"| | | | | | | | | |--- AFDP > 4.29\n",
"| | | | | | | | | | |--- value: [54.07]\n",
"| | | | | | | | |--- AP > 1004.35\n",
"| | | | | | | | | |--- AH <= 48.78\n",
"| | | | | | | | | | |--- AFDP <= 3.60\n",
"| | | | | | | | | | | |--- value: [54.07]\n",
"| | | | | | | | | | |--- AFDP > 3.60\n",
"| | | | | | | | | | | |--- value: [58.33]\n",
"| | | | | | | | | |--- AH > 48.78\n",
"| | | | | | | | | | |--- TAT <= 550.40\n",
"| | | | | | | | | | | |--- value: [53.36]\n",
"| | | | | | | | | | |--- TAT > 550.40\n",
"| | | | | | | | | | | |--- value: [43.72]\n",
"| | | | | | |--- AH > 56.81\n",
"| | | | | | | |--- AFDP <= 4.19\n",
"| | | | | | | | |--- AFDP <= 3.91\n",
"| | | | | | | | | |--- TIT <= 1061.10\n",
"| | | | | | | | | | |--- AP <= 1006.40\n",
"| | | | | | | | | | | |--- value: [44.86]\n",
"| | | | | | | | | | |--- AP > 1006.40\n",
"| | | | | | | | | | | |--- value: [49.45]\n",
"| | | | | | | | | |--- TIT > 1061.10\n",
"| | | | | | | | | | |--- TIT <= 1065.75\n",
"| | | | | | | | | | | |--- value: [51.37]\n",
"| | | | | | | | | | |--- TIT > 1065.75\n",
"| | | | | | | | | | | |--- value: [53.78]\n",
"| | | | | | | | |--- AFDP > 3.91\n",
"| | | | | | | | | |--- AP <= 1005.15\n",
"| | | | | | | | | | |--- AT <= 29.53\n",
"| | | | | | | | | | | |--- value: [46.49]\n",
"| | | | | | | | | | |--- AT > 29.53\n",
"| | | | | | | | | | | |--- value: [42.99]\n",
"| | | | | | | | | |--- AP > 1005.15\n",
"| | | | | | | | | | |--- AH <= 68.81\n",
"| | | | | | | | | | | |--- value: [50.00]\n",
"| | | | | | | | | | |--- AH > 68.81\n",
"| | | | | | | | | | | |--- value: [47.54]\n",
"| | | | | | | |--- AFDP > 4.19\n",
"| | | | | | | | |--- AT <= 29.65\n",
"| | | | | | | | | |--- AH <= 67.26\n",
"| | | | | | | | | | |--- AFDP <= 4.25\n",
"| | | | | | | | | | | |--- value: [54.77]\n",
"| | | | | | | | | | |--- AFDP > 4.25\n",
"| | | | | | | | | | | |--- value: [57.30]\n",
"| | | | | | | | | |--- AH > 67.26\n",
"| | | | | | | | | | |--- AT <= 29.00\n",
"| | | | | | | | | | | |--- value: [53.32]\n",
"| | | | | | | | | | |--- AT > 29.00\n",
"| | | | | | | | | | | |--- value: [51.11]\n",
"| | | | | | | | |--- AT > 29.65\n",
"| | | | | | | | | |--- TIT <= 1074.25\n",
"| | | | | | | | | | |--- value: [48.24]\n",
"| | | | | | | | | |--- TIT > 1074.25\n",
"| | | | | | | | | | |--- AH <= 65.19\n",
"| | | | | | | | | | | |--- value: [52.17]\n",
"| | | | | | | | | | |--- AH > 65.19\n",
"| | | | | | | | | | | |--- value: [50.44]\n",
"| | | | |--- AH > 75.36\n",
"| | | | | |--- AT <= 24.06\n",
"| | | | | | |--- AH <= 89.68\n",
"| | | | | | | |--- AFDP <= 4.11\n",
"| | | | | | | | |--- TIT <= 1050.50\n",
"| | | | | | | | | |--- AT <= 23.36\n",
"| | | | | | | | | | |--- value: [41.30]\n",
"| | | | | | | | | |--- AT > 23.36\n",
"| | | | | | | | | | |--- value: [49.75]\n",
"| | | | | | | | |--- TIT > 1050.50\n",
"| | | | | | | | | |--- AFDP <= 3.84\n",
"| | | | | | | | | | |--- TIT <= 1079.35\n",
"| | | | | | | | | | | |--- value: [52.55]\n",
"| | | | | | | | | | |--- TIT > 1079.35\n",
"| | | | | | | | | | | |--- value: [56.62]\n",
"| | | | | | | | | |--- AFDP > 3.84\n",
"| | | | | | | | | | |--- AFDP <= 3.90\n",
"| | | | | | | | | | | |--- value: [48.24]\n",
"| | | | | | | | | | |--- AFDP > 3.90\n",
"| | | | | | | | | | | |--- value: [51.68]\n",
"| | | | | | | |--- AFDP > 4.11\n",
"| | | | | | | | |--- TIT <= 1062.50\n",
"| | | | | | | | | |--- value: [69.31]\n",
"| | | | | | | | |--- TIT > 1062.50\n",
"| | | | | | | | | |--- AFDP <= 4.75\n",
"| | | | | | | | | | |--- AP <= 1009.15\n",
"| | | | | | | | | | | |--- value: [60.02]\n",
"| | | | | | | | | | |--- AP > 1009.15\n",
"| | | | | | | | | | | |--- value: [55.26]\n",
"| | | | | | | | | |--- AFDP > 4.75\n",
"| | | | | | | | | | |--- value: [66.30]\n",
"| | | | | | |--- AH > 89.68\n",
"| | | | | | | |--- TIT <= 1045.40\n",
"| | | | | | | | |--- value: [71.50]\n",
"| | | | | | | |--- TIT > 1045.40\n",
"| | | | | | | | |--- TIT <= 1080.45\n",
"| | | | | | | | | |--- AH <= 95.70\n",
"| | | | | | | | | | |--- TAT <= 550.17\n",
"| | | | | | | | | | | |--- value: [50.12]\n",
"| | | | | | | | | | |--- TAT > 550.17\n",
"| | | | | | | | | | | |--- value: [47.43]\n",
"| | | | | | | | | |--- AH > 95.70\n",
"| | | | | | | | | | |--- AT <= 22.90\n",
"| | | | | | | | | | | |--- value: [40.50]\n",
"| | | | | | | | | | |--- AT > 22.90\n",
"| | | | | | | | | | | |--- value: [47.65]\n",
"| | | | | | | | |--- TIT > 1080.45\n",
"| | | | | | | | | |--- value: [56.50]\n",
"| | | | | |--- AT > 24.06\n",
"| | | | | | |--- AH <= 90.84\n",
"| | | | | | | |--- AT <= 25.76\n",
"| | | | | | | | |--- AFDP <= 4.32\n",
"| | | | | | | | | |--- AH <= 75.41\n",
"| | | | | | | | | | |--- value: [40.61]\n",
"| | | | | | | | | |--- AH > 75.41\n",
"| | | | | | | | | | |--- AFDP <= 3.87\n",
"| | | | | | | | | | | |--- value: [50.69]\n",
"| | | | | | | | | | |--- AFDP > 3.87\n",
"| | | | | | | | | | | |--- value: [49.28]\n",
"| | | | | | | | |--- AFDP > 4.32\n",
"| | | | | | | | | |--- AT <= 25.37\n",
"| | | | | | | | | | |--- AFDP <= 4.37\n",
"| | | | | | | | | | | |--- value: [52.15]\n",
"| | | | | | | | | | |--- AFDP > 4.37\n",
"| | | | | | | | | | | |--- value: [53.90]\n",
"| | | | | | | | | |--- AT > 25.37\n",
"| | | | | | | | | | |--- value: [56.44]\n",
"| | | | | | | |--- AT > 25.76\n",
"| | | | | | | | |--- AFDP <= 4.21\n",
"| | | | | | | | | |--- AT <= 27.60\n",
"| | | | | | | | | | |--- AH <= 80.23\n",
"| | | | | | | | | | | |--- value: [49.05]\n",
"| | | | | | | | | | |--- AH > 80.23\n",
"| | | | | | | | | | | |--- value: [46.95]\n",
"| | | | | | | | | |--- AT > 27.60\n",
"| | | | | | | | | | |--- AFDP <= 4.04\n",
"| | | | | | | | | | | |--- value: [43.51]\n",
"| | | | | | | | | | |--- AFDP > 4.04\n",
"| | | | | | | | | | | |--- value: [46.19]\n",
"| | | | | | | | |--- AFDP > 4.21\n",
"| | | | | | | | | |--- AH <= 78.71\n",
"| | | | | | | | | | |--- value: [52.16]\n",
"| | | | | | | | | |--- AH > 78.71\n",
"| | | | | | | | | | |--- AFDP <= 4.25\n",
"| | | | | | | | | | | |--- value: [49.32]\n",
"| | | | | | | | | | |--- AFDP > 4.25\n",
"| | | | | | | | | | | |--- value: [50.59]\n",
"| | | | | | |--- AH > 90.84\n",
"| | | | | | | |--- TIT <= 1079.70\n",
"| | | | | | | | |--- AFDP <= 4.29\n",
"| | | | | | | | | |--- AT <= 25.46\n",
"| | | | | | | | | | |--- TIT <= 1055.85\n",
"| | | | | | | | | | | |--- value: [45.64]\n",
"| | | | | | | | | | |--- TIT > 1055.85\n",
"| | | | | | | | | | | |--- value: [47.10]\n",
"| | | | | | | | | |--- AT > 25.46\n",
"| | | | | | | | | | |--- TIT <= 1069.20\n",
"| | | | | | | | | | | |--- value: [44.39]\n",
"| | | | | | | | | | |--- TIT > 1069.20\n",
"| | | | | | | | | | | |--- value: [46.15]\n",
"| | | | | | | | |--- AFDP > 4.29\n",
"| | | | | | | | | |--- value: [50.11]\n",
"| | | | | | | |--- TIT > 1079.70\n",
"| | | | | | | | |--- AFDP <= 4.10\n",
"| | | | | | | | | |--- value: [52.51]\n",
"| | | | | | | | |--- AFDP > 4.10\n",
"| | | | | | | | | |--- TAT <= 550.01\n",
"| | | | | | | | | | |--- value: [47.86]\n",
"| | | | | | | | | |--- TAT > 550.01\n",
"| | | | | | | | | | |--- value: [49.42]\n",
"| |--- TIT > 1083.05\n",
"| | |--- TAT <= 548.92\n",
"| | | |--- TAT <= 538.45\n",
"| | | | |--- AFDP <= 4.28\n",
"| | | | | |--- TAT <= 530.58\n",
"| | | | | | |--- value: [52.44]\n",
"| | | | | |--- TAT > 530.58\n",
"| | | | | | |--- AP <= 1020.75\n",
"| | | | | | | |--- AP <= 1008.85\n",
"| | | | | | | | |--- TIT <= 1096.95\n",
"| | | | | | | | | |--- value: [62.34]\n",
"| | | | | | | | |--- TIT > 1096.95\n",
"| | | | | | | | | |--- AT <= 18.69\n",
"| | | | | | | | | | |--- TAT <= 537.74\n",
"| | | | | | | | | | | |--- value: [76.56]\n",
"| | | | | | | | | | |--- TAT > 537.74\n",
"| | | | | | | | | | | |--- value: [68.18]\n",
"| | | | | | | | | |--- AT > 18.69\n",
"| | | | | | | | | | |--- AP <= 1006.40\n",
"| | | | | | | | | | | |--- value: [80.71]\n",
"| | | | | | | | | | |--- AP > 1006.40\n",
"| | | | | | | | | | | |--- value: [76.62]\n",
"| | | | | | | |--- AP > 1008.85\n",
"| | | | | | | | |--- AFDP <= 4.25\n",
"| | | | | | | | | |--- AP <= 1011.65\n",
"| | | | | | | | | | |--- AFDP <= 4.13\n",
"| | | | | | | | | | | |--- value: [71.56]\n",
"| | | | | | | | | | |--- AFDP > 4.13\n",
"| | | | | | | | | | | |--- value: [62.97]\n",
"| | | | | | | | | |--- AP > 1011.65\n",
"| | | | | | | | | | |--- AFDP <= 3.81\n",
"| | | | | | | | | | | |--- value: [53.70]\n",
"| | | | | | | | | | |--- AFDP > 3.81\n",
"| | | | | | | | | | | |--- value: [73.43]\n",
"| | | | | | | | |--- AFDP > 4.25\n",
"| | | | | | | | | |--- value: [59.72]\n",
"| | | | | | |--- AP > 1020.75\n",
"| | | | | | | |--- AH <= 90.74\n",
"| | | | | | | | |--- AT <= 21.13\n",
"| | | | | | | | | |--- AFDP <= 3.94\n",
"| | | | | | | | | | |--- value: [95.44]\n",
"| | | | | | | | | |--- AFDP > 3.94\n",
"| | | | | | | | | | |--- AFDP <= 4.17\n",
"| | | | | | | | | | | |--- value: [74.68]\n",
"| | | | | | | | | | |--- AFDP > 4.17\n",
"| | | | | | | | | | | |--- value: [88.23]\n",
"| | | | | | | | |--- AT > 21.13\n",
"| | | | | | | | | |--- value: [96.68]\n",
"| | | | | | | |--- AH > 90.74\n",
"| | | | | | | | |--- value: [94.25]\n",
"| | | | |--- AFDP > 4.28\n",
"| | | | | |--- AFDP <= 4.81\n",
"| | | | | | |--- AFDP <= 4.34\n",
"| | | | | | | |--- AP <= 1016.50\n",
"| | | | | | | | |--- value: [53.61]\n",
"| | | | | | | |--- AP > 1016.50\n",
"| | | | | | | | |--- value: [45.40]\n",
"| | | | | | |--- AFDP > 4.34\n",
"| | | | | | | |--- AT <= 19.46\n",
"| | | | | | | | |--- AP <= 996.32\n",
"| | | | | | | | | |--- value: [84.38]\n",
"| | | | | | | | |--- AP > 996.32\n",
"| | | | | | | | | |--- TAT <= 537.45\n",
"| | | | | | | | | | |--- AP <= 1013.65\n",
"| | | | | | | | | | | |--- value: [62.40]\n",
"| | | | | | | | | | |--- AP > 1013.65\n",
"| | | | | | | | | | | |--- value: [60.63]\n",
"| | | | | | | | | |--- TAT > 537.45\n",
"| | | | | | | | | | |--- value: [66.77]\n",
"| | | | | | | |--- AT > 19.46\n",
"| | | | | | | | |--- AT <= 27.26\n",
"| | | | | | | | | |--- AH <= 63.66\n",
"| | | | | | | | | | |--- AP <= 1013.35\n",
"| | | | | | | | | | | |--- value: [59.79]\n",
"| | | | | | | | | | |--- AP > 1013.35\n",
"| | | | | | | | | | | |--- value: [62.71]\n",
"| | | | | | | | | |--- AH > 63.66\n",
"| | | | | | | | | | |--- AFDP <= 4.74\n",
"| | | | | | | | | | | |--- value: [57.64]\n",
"| | | | | | | | | | |--- AFDP > 4.74\n",
"| | | | | | | | | | | |--- value: [61.93]\n",
"| | | | | | | | |--- AT > 27.26\n",
"| | | | | | | | | |--- TAT <= 536.85\n",
"| | | | | | | | | | |--- AP <= 1005.50\n",
"| | | | | | | | | | | |--- value: [64.17]\n",
"| | | | | | | | | | |--- AP > 1005.50\n",
"| | | | | | | | | | | |--- value: [54.17]\n",
"| | | | | | | | | |--- TAT > 536.85\n",
"| | | | | | | | | | |--- AH <= 60.27\n",
"| | | | | | | | | | | |--- value: [58.17]\n",
"| | | | | | | | | | |--- AH > 60.27\n",
"| | | | | | | | | | | |--- value: [54.98]\n",
"| | | | | |--- AFDP > 4.81\n",
"| | | | | | |--- AT <= 27.95\n",
"| | | | | | | |--- AFDP <= 5.74\n",
"| | | | | | | | |--- AT <= 20.19\n",
"| | | | | | | | | |--- AT <= 19.54\n",
"| | | | | | | | | | |--- TAT <= 528.21\n",
"| | | | | | | | | | | |--- value: [74.20]\n",
"| | | | | | | | | | |--- TAT > 528.21\n",
"| | | | | | | | | | | |--- value: [64.38]\n",
"| | | | | | | | | |--- AT > 19.54\n",
"| | | | | | | | | | |--- AH <= 77.27\n",
"| | | | | | | | | | | |--- value: [77.01]\n",
"| | | | | | | | | | |--- AH > 77.27\n",
"| | | | | | | | | | | |--- value: [65.97]\n",
"| | | | | | | | |--- AT > 20.19\n",
"| | | | | | | | | |--- AFDP <= 5.00\n",
"| | | | | | | | | | |--- AFDP <= 4.82\n",
"| | | | | | | | | | | |--- value: [78.94]\n",
"| | | | | | | | | | |--- AFDP > 4.82\n",
"| | | | | | | | | | | |--- value: [62.63]\n",
"| | | | | | | | | |--- AFDP > 5.00\n",
"| | | | | | | | | | |--- AFDP <= 5.21\n",
"| | | | | | | | | | | |--- value: [59.84]\n",
"| | | | | | | | | | |--- AFDP > 5.21\n",
"| | | | | | | | | | | |--- value: [56.61]\n",
"| | | | | | | |--- AFDP > 5.74\n",
"| | | | | | | | |--- AH <= 44.25\n",
"| | | | | | | | | |--- AP <= 1016.60\n",
"| | | | | | | | | | |--- value: [73.52]\n",
"| | | | | | | | | |--- AP > 1016.60\n",
"| | | | | | | | | | |--- value: [83.59]\n",
"| | | | | | | | |--- AH > 44.25\n",
"| | | | | | | | | |--- TAT <= 536.74\n",
"| | | | | | | | | | |--- AT <= 23.40\n",
"| | | | | | | | | | | |--- value: [67.32]\n",
"| | | | | | | | | | |--- AT > 23.40\n",
"| | | | | | | | | | | |--- value: [62.29]\n",
"| | | | | | | | | |--- TAT > 536.74\n",
"| | | | | | | | | | |--- AT <= 25.57\n",
"| | | | | | | | | | | |--- value: [68.90]\n",
"| | | | | | | | | | |--- AT > 25.57\n",
"| | | | | | | | | | | |--- value: [79.25]\n",
"| | | | | | |--- AT > 27.95\n",
"| | | | | | | |--- AH <= 48.48\n",
"| | | | | | | | |--- AP <= 1014.55\n",
"| | | | | | | | | |--- AFDP <= 4.97\n",
"| | | | | | | | | | |--- value: [58.56]\n",
"| | | | | | | | | |--- AFDP > 4.97\n",
"| | | | | | | | | | |--- AFDP <= 4.98\n",
"| | | | | | | | | | | |--- value: [79.46]\n",
"| | | | | | | | | | |--- AFDP > 4.98\n",
"| | | | | | | | | | | |--- value: [63.41]\n",
"| | | | | | | | |--- AP > 1014.55\n",
"| | | | | | | | | |--- value: [75.33]\n",
"| | | | | | | |--- AH > 48.48\n",
"| | | | | | | | |--- AH <= 62.28\n",
"| | | | | | | | | |--- AT <= 32.03\n",
"| | | | | | | | | | |--- AFDP <= 4.98\n",
"| | | | | | | | | | | |--- value: [60.03]\n",
"| | | | | | | | | | |--- AFDP > 4.98\n",
"| | | | | | | | | | | |--- value: [56.64]\n",
"| | | | | | | | | |--- AT > 32.03\n",
"| | | | | | | | | | |--- value: [65.87]\n",
"| | | | | | | | |--- AH > 62.28\n",
"| | | | | | | | | |--- AH <= 70.21\n",
"| | | | | | | | | | |--- value: [52.12]\n",
"| | | | | | | | | |--- AH > 70.21\n",
"| | | | | | | | | | |--- value: [56.39]\n",
"| | | |--- TAT > 538.45\n",
"| | | | |--- AFDP <= 4.12\n",
"| | | | | |--- AP <= 1019.55\n",
"| | | | | | |--- TIT <= 1091.95\n",
"| | | | | | | |--- AFDP <= 3.72\n",
"| | | | | | | | |--- value: [66.04]\n",
"| | | | | | | |--- AFDP > 3.72\n",
"| | | | | | | | |--- TAT <= 548.49\n",
"| | | | | | | | | |--- AP <= 1013.45\n",
"| | | | | | | | | | |--- TIT <= 1086.75\n",
"| | | | | | | | | | | |--- value: [55.16]\n",
"| | | | | | | | | | |--- TIT > 1086.75\n",
"| | | | | | | | | | | |--- value: [59.48]\n",
"| | | | | | | | | |--- AP > 1013.45\n",
"| | | | | | | | | | |--- AH <= 55.17\n",
"| | | | | | | | | | | |--- value: [56.47]\n",
"| | | | | | | | | | |--- AH > 55.17\n",
"| | | | | | | | | | | |--- value: [50.80]\n",
"| | | | | | | | |--- TAT > 548.49\n",
"| | | | | | | | | |--- value: [65.20]\n",
"| | | | | | |--- TIT > 1091.95\n",
"| | | | | | | |--- AFDP <= 3.63\n",
"| | | | | | | | |--- value: [51.75]\n",
"| | | | | | | |--- AFDP > 3.63\n",
"| | | | | | | | |--- TAT <= 543.79\n",
"| | | | | | | | | |--- AFDP <= 4.03\n",
"| | | | | | | | | | |--- AP <= 1012.50\n",
"| | | | | | | | | | | |--- value: [79.70]\n",
"| | | | | | | | | | |--- AP > 1012.50\n",
"| | | | | | | | | | | |--- value: [71.19]\n",
"| | | | | | | | | |--- AFDP > 4.03\n",
"| | | | | | | | | | |--- AT <= 17.28\n",
"| | | | | | | | | | | |--- value: [82.78]\n",
"| | | | | | | | | | |--- AT > 17.28\n",
"| | | | | | | | | | | |--- value: [63.03]\n",
"| | | | | | | | |--- TAT > 543.79\n",
"| | | | | | | | | |--- AFDP <= 3.83\n",
"| | | | | | | | | | |--- value: [75.41]\n",
"| | | | | | | | | |--- AFDP > 3.83\n",
"| | | | | | | | | | |--- AH <= 67.26\n",
"| | | | | | | | | | | |--- value: [63.05]\n",
"| | | | | | | | | | |--- AH > 67.26\n",
"| | | | | | | | | | | |--- value: [58.61]\n",
"| | | | | |--- AP > 1019.55\n",
"| | | | | | |--- AFDP <= 3.88\n",
"| | | | | | | |--- AH <= 69.04\n",
"| | | | | | | | |--- value: [79.15]\n",
"| | | | | | | |--- AH > 69.04\n",
"| | | | | | | | |--- value: [100.12]\n",
"| | | | | | |--- AFDP > 3.88\n",
"| | | | | | | |--- AP <= 1020.90\n",
"| | | | | | | | |--- value: [55.29]\n",
"| | | | | | | |--- AP > 1020.90\n",
"| | | | | | | | |--- TIT <= 1099.85\n",
"| | | | | | | | | |--- value: [77.86]\n",
"| | | | | | | | |--- TIT > 1099.85\n",
"| | | | | | | | | |--- AFDP <= 4.04\n",
"| | | | | | | | | | |--- value: [80.80]\n",
"| | | | | | | | | |--- AFDP > 4.04\n",
"| | | | | | | | | | |--- value: [79.69]\n",
"| | | | |--- AFDP > 4.12\n",
"| | | | | |--- AFDP <= 4.44\n",
"| | | | | | |--- TIT <= 1099.75\n",
"| | | | | | | |--- AT <= 20.77\n",
"| | | | | | | | |--- TAT <= 544.43\n",
"| | | | | | | | | |--- AP <= 998.61\n",
"| | | | | | | | | | |--- value: [83.95]\n",
"| | | | | | | | | |--- AP > 998.61\n",
"| | | | | | | | | | |--- AFDP <= 4.14\n",
"| | | | | | | | | | | |--- value: [52.02]\n",
"| | | | | | | | | | |--- AFDP > 4.14\n",
"| | | | | | | | | | | |--- value: [61.00]\n",
"| | | | | | | | |--- TAT > 544.43\n",
"| | | | | | | | | |--- value: [75.07]\n",
"| | | | | | | |--- AT > 20.77\n",
"| | | | | | | | |--- AH <= 65.11\n",
"| | | | | | | | | |--- TIT <= 1098.25\n",
"| | | | | | | | | | |--- TIT <= 1093.50\n",
"| | | | | | | | | | | |--- value: [57.96]\n",
"| | | | | | | | | | |--- TIT > 1093.50\n",
"| | | | | | | | | | | |--- value: [62.79]\n",
"| | | | | | | | | |--- TIT > 1098.25\n",
"| | | | | | | | | | |--- AFDP <= 4.28\n",
"| | | | | | | | | | | |--- value: [53.21]\n",
"| | | | | | | | | | |--- AFDP > 4.28\n",
"| | | | | | | | | | | |--- value: [59.40]\n",
"| | | | | | | | |--- AH > 65.11\n",
"| | | | | | | | | |--- AP <= 1014.80\n",
"| | | | | | | | | | |--- AH <= 75.28\n",
"| | | | | | | | | | | |--- value: [56.36]\n",
"| | | | | | | | | | |--- AH > 75.28\n",
"| | | | | | | | | | | |--- value: [53.98]\n",
"| | | | | | | | | |--- AP > 1014.80\n",
"| | | | | | | | | | |--- AFDP <= 4.21\n",
"| | | | | | | | | | | |--- value: [46.72]\n",
"| | | | | | | | | | |--- AFDP > 4.21\n",
"| | | | | | | | | | | |--- value: [52.76]\n",
"| | | | | | |--- TIT > 1099.75\n",
"| | | | | | | |--- AP <= 1010.15\n",
"| | | | | | | | |--- AT <= 18.01\n",
"| | | | | | | | | |--- AT <= 17.87\n",
"| | | | | | | | | | |--- value: [56.85]\n",
"| | | | | | | | | |--- AT > 17.87\n",
"| | | | | | | | | | |--- value: [74.40]\n",
"| | | | | | | | |--- AT > 18.01\n",
"| | | | | | | | | |--- AP <= 1006.55\n",
"| | | | | | | | | | |--- AFDP <= 4.37\n",
"| | | | | | | | | | | |--- value: [54.96]\n",
"| | | | | | | | | | |--- AFDP > 4.37\n",
"| | | | | | | | | | | |--- value: [56.82]\n",
"| | | | | | | | | |--- AP > 1006.55\n",
"| | | | | | | | | | |--- AFDP <= 4.28\n",
"| | | | | | | | | | | |--- value: [52.28]\n",
"| | | | | | | | | | |--- AFDP > 4.28\n",
"| | | | | | | | | | | |--- value: [54.51]\n",
"| | | | | | | |--- AP > 1010.15\n",
"| | | | | | | | |--- AP <= 1022.20\n",
"| | | | | | | | | |--- TAT <= 546.95\n",
"| | | | | | | | | | |--- AP <= 1013.95\n",
"| | | | | | | | | | | |--- value: [52.49]\n",
"| | | | | | | | | | |--- AP > 1013.95\n",
"| | | | | | | | | | | |--- value: [50.42]\n",
"| | | | | | | | | |--- TAT > 546.95\n",
"| | | | | | | | | | |--- AT <= 24.77\n",
"| | | | | | | | | | | |--- value: [77.20]\n",
"| | | | | | | | | | |--- AT > 24.77\n",
"| | | | | | | | | | | |--- value: [50.87]\n",
"| | | | | | | | |--- AP > 1022.20\n",
"| | | | | | | | | |--- value: [80.14]\n",
"| | | | | |--- AFDP > 4.44\n",
"| | | | | | |--- AT <= 19.02\n",
"| | | | | | | |--- AH <= 74.92\n",
"| | | | | | | | |--- AFDP <= 4.60\n",
"| | | | | | | | | |--- value: [85.47]\n",
"| | | | | | | | |--- AFDP > 4.60\n",
"| | | | | | | | | |--- AH <= 62.11\n",
"| | | | | | | | | | |--- value: [59.31]\n",
"| | | | | | | | | |--- AH > 62.11\n",
"| | | | | | | | | | |--- TIT <= 1100.05\n",
"| | | | | | | | | | | |--- value: [69.02]\n",
"| | | | | | | | | | |--- TIT > 1100.05\n",
"| | | | | | | | | | | |--- value: [76.53]\n",
"| | | | | | | |--- AH > 74.92\n",
"| | | | | | | | |--- AP <= 1009.10\n",
"| | | | | | | | | |--- AH <= 92.88\n",
"| | | | | | | | | | |--- AP <= 1005.35\n",
"| | | | | | | | | | | |--- value: [68.99]\n",
"| | | | | | | | | | |--- AP > 1005.35\n",
"| | | | | | | | | | | |--- value: [73.68]\n",
"| | | | | | | | | |--- AH > 92.88\n",
"| | | | | | | | | | |--- AT <= 18.02\n",
"| | | | | | | | | | | |--- value: [67.00]\n",
"| | | | | | | | | | |--- AT > 18.02\n",
"| | | | | | | | | | | |--- value: [59.21]\n",
"| | | | | | | | |--- AP > 1009.10\n",
"| | | | | | | | | |--- AFDP <= 4.60\n",
"| | | | | | | | | | |--- value: [68.73]\n",
"| | | | | | | | | |--- AFDP > 4.60\n",
"| | | | | | | | | | |--- TIT <= 1093.55\n",
"| | | | | | | | | | | |--- value: [67.09]\n",
"| | | | | | | | | | |--- TIT > 1093.55\n",
"| | | | | | | | | | | |--- value: [57.98]\n",
"| | | | | | |--- AT > 19.02\n",
"| | | | | | | |--- AFDP <= 5.55\n",
"| | | | | | | | |--- AH <= 64.04\n",
"| | | | | | | | | |--- TIT <= 1099.65\n",
"| | | | | | | | | | |--- AT <= 23.30\n",
"| | | | | | | | | | | |--- value: [71.85]\n",
"| | | | | | | | | | |--- AT > 23.30\n",
"| | | | | | | | | | | |--- value: [63.04]\n",
"| | | | | | | | | |--- TIT > 1099.65\n",
"| | | | | | | | | | |--- AFDP <= 4.69\n",
"| | | | | | | | | | | |--- value: [56.30]\n",
"| | | | | | | | | | |--- AFDP > 4.69\n",
"| | | | | | | | | | | |--- value: [59.32]\n",
"| | | | | | | | |--- AH > 64.04\n",
"| | | | | | | | | |--- AT <= 22.63\n",
"| | | | | | | | | | |--- AH <= 74.82\n",
"| | | | | | | | | | | |--- value: [61.38]\n",
"| | | | | | | | | | |--- AH > 74.82\n",
"| | | | | | | | | | | |--- value: [56.37]\n",
"| | | | | | | | | |--- AT > 22.63\n",
"| | | | | | | | | | |--- TAT <= 542.78\n",
"| | | | | | | | | | | |--- value: [56.22]\n",
"| | | | | | | | | | |--- TAT > 542.78\n",
"| | | | | | | | | | | |--- value: [54.50]\n",
"| | | | | | | |--- AFDP > 5.55\n",
"| | | | | | | | |--- AT <= 25.35\n",
"| | | | | | | | | |--- AFDP <= 5.67\n",
"| | | | | | | | | | |--- value: [58.33]\n",
"| | | | | | | | | |--- AFDP > 5.67\n",
"| | | | | | | | | | |--- AP <= 1015.35\n",
"| | | | | | | | | | | |--- value: [69.80]\n",
"| | | | | | | | | | |--- AP > 1015.35\n",
"| | | | | | | | | | | |--- value: [81.93]\n",
"| | | | | | | | |--- AT > 25.35\n",
"| | | | | | | | | |--- AP <= 1009.75\n",
"| | | | | | | | | | |--- AH <= 66.96\n",
"| | | | | | | | | | | |--- value: [61.37]\n",
"| | | | | | | | | | |--- AH > 66.96\n",
"| | | | | | | | | | | |--- value: [69.56]\n",
"| | | | | | | | | |--- AP > 1009.75\n",
"| | | | | | | | | | |--- AFDP <= 6.13\n",
"| | | | | | | | | | | |--- value: [57.75]\n",
"| | | | | | | | | | |--- AFDP > 6.13\n",
"| | | | | | | | | | | |--- value: [68.91]\n",
"| | |--- TAT > 548.92\n",
"| | | |--- AFDP <= 3.48\n",
"| | | | |--- AP <= 1019.80\n",
"| | | | | |--- AP <= 1003.00\n",
"| | | | | | |--- AH <= 77.47\n",
"| | | | | | | |--- TIT <= 1087.35\n",
"| | | | | | | | |--- AH <= 73.75\n",
"| | | | | | | | | |--- AP <= 993.23\n",
"| | | | | | | | | | |--- value: [83.07]\n",
"| | | | | | | | | |--- AP > 993.23\n",
"| | | | | | | | | | |--- AFDP <= 3.33\n",
"| | | | | | | | | | | |--- value: [79.04]\n",
"| | | | | | | | | | |--- AFDP > 3.33\n",
"| | | | | | | | | | | |--- value: [80.57]\n",
"| | | | | | | | |--- AH > 73.75\n",
"| | | | | | | | | |--- value: [76.36]\n",
"| | | | | | | |--- TIT > 1087.35\n",
"| | | | | | | | |--- value: [84.61]\n",
"| | | | | | |--- AH > 77.47\n",
"| | | | | | | |--- AFDP <= 3.28\n",
"| | | | | | | | |--- AP <= 1001.50\n",
"| | | | | | | | | |--- TAT <= 549.73\n",
"| | | | | | | | | | |--- value: [72.35]\n",
"| | | | | | | | | |--- TAT > 549.73\n",
"| | | | | | | | | | |--- AFDP <= 3.02\n",
"| | | | | | | | | | | |--- value: [70.38]\n",
"| | | | | | | | | | |--- AFDP > 3.02\n",
"| | | | | | | | | | | |--- value: [70.93]\n",
"| | | | | | | | |--- AP > 1001.50\n",
"| | | | | | | | | |--- value: [74.18]\n",
"| | | | | | | |--- AFDP > 3.28\n",
"| | | | | | | | |--- value: [80.51]\n",
"| | | | | |--- AP > 1003.00\n",
"| | | | | | |--- AP <= 1015.95\n",
"| | | | | | | |--- TIT <= 1086.85\n",
"| | | | | | | | |--- AFDP <= 3.22\n",
"| | | | | | | | | |--- TIT <= 1083.95\n",
"| | | | | | | | | | |--- value: [81.93]\n",
"| | | | | | | | | |--- TIT > 1083.95\n",
"| | | | | | | | | | |--- TIT <= 1086.75\n",
"| | | | | | | | | | | |--- value: [69.52]\n",
"| | | | | | | | | | |--- TIT > 1086.75\n",
"| | | | | | | | | | | |--- value: [73.62]\n",
"| | | | | | | | |--- AFDP > 3.22\n",
"| | | | | | | | | |--- TIT <= 1083.85\n",
"| | | | | | | | | | |--- value: [58.03]\n",
"| | | | | | | | | |--- TIT > 1083.85\n",
"| | | | | | | | | | |--- AH <= 86.53\n",
"| | | | | | | | | | | |--- value: [65.88]\n",
"| | | | | | | | | | |--- AH > 86.53\n",
"| | | | | | | | | | | |--- value: [63.10]\n",
"| | | | | | | |--- TIT > 1086.85\n",
"| | | | | | | | |--- AH <= 78.03\n",
"| | | | | | | | | |--- AP <= 1014.05\n",
"| | | | | | | | | | |--- AFDP <= 3.45\n",
"| | | | | | | | | | | |--- value: [74.33]\n",
"| | | | | | | | | | |--- AFDP > 3.45\n",
"| | | | | | | | | | | |--- value: [70.68]\n",
"| | | | | | | | | |--- AP > 1014.05\n",
"| | | | | | | | | | |--- TIT <= 1089.40\n",
"| | | | | | | | | | | |--- value: [67.78]\n",
"| | | | | | | | | | |--- TIT > 1089.40\n",
"| | | | | | | | | | | |--- value: [71.83]\n",
"| | | | | | | | |--- AH > 78.03\n",
"| | | | | | | | | |--- TAT <= 549.62\n",
"| | | | | | | | | | |--- value: [76.27]\n",
"| | | | | | | | | |--- TAT > 549.62\n",
"| | | | | | | | | | |--- TAT <= 550.05\n",
"| | | | | | | | | | | |--- value: [67.11]\n",
"| | | | | | | | | | |--- TAT > 550.05\n",
"| | | | | | | | | | | |--- value: [69.88]\n",
"| | | | | | |--- AP > 1015.95\n",
"| | | | | | | |--- AFDP <= 3.22\n",
"| | | | | | | | |--- TIT <= 1085.55\n",
"| | | | | | | | | |--- value: [79.87]\n",
"| | | | | | | | |--- TIT > 1085.55\n",
"| | | | | | | | | |--- AH <= 92.30\n",
"| | | | | | | | | | |--- AH <= 86.09\n",
"| | | | | | | | | | | |--- value: [61.11]\n",
"| | | | | | | | | | |--- AH > 86.09\n",
"| | | | | | | | | | | |--- value: [58.29]\n",
"| | | | | | | | | |--- AH > 92.30\n",
"| | | | | | | | | | |--- value: [71.08]\n",
"| | | | | | | |--- AFDP > 3.22\n",
"| | | | | | | | |--- AFDP <= 3.26\n",
"| | | | | | | | | |--- value: [72.22]\n",
"| | | | | | | | |--- AFDP > 3.26\n",
"| | | | | | | | | |--- AFDP <= 3.29\n",
"| | | | | | | | | | |--- value: [61.13]\n",
"| | | | | | | | | |--- AFDP > 3.29\n",
"| | | | | | | | | | |--- AT <= 19.33\n",
"| | | | | | | | | | | |--- value: [69.81]\n",
"| | | | | | | | | | |--- AT > 19.33\n",
"| | | | | | | | | | | |--- value: [65.00]\n",
"| | | | |--- AP > 1019.80\n",
"| | | | | |--- TIT <= 1089.25\n",
"| | | | | | |--- AFDP <= 3.28\n",
"| | | | | | | |--- TIT <= 1088.95\n",
"| | | | | | | | |--- value: [85.47]\n",
"| | | | | | | |--- TIT > 1088.95\n",
"| | | | | | | | |--- value: [59.82]\n",
"| | | | | | |--- AFDP > 3.28\n",
"| | | | | | | |--- AP <= 1024.15\n",
"| | | | | | | | |--- value: [66.56]\n",
"| | | | | | | |--- AP > 1024.15\n",
"| | | | | | | | |--- value: [73.59]\n",
"| | | | | |--- TIT > 1089.25\n",
"| | | | | | |--- TIT <= 1098.65\n",
"| | | | | | | |--- AFDP <= 3.39\n",
"| | | | | | | | |--- AFDP <= 3.21\n",
"| | | | | | | | | |--- value: [99.34]\n",
"| | | | | | | | |--- AFDP > 3.21\n",
"| | | | | | | | | |--- AT <= 18.30\n",
"| | | | | | | | | | |--- value: [87.13]\n",
"| | | | | | | | | |--- AT > 18.30\n",
"| | | | | | | | | | |--- AP <= 1027.45\n",
"| | | | | | | | | | | |--- value: [90.97]\n",
"| | | | | | | | | | |--- AP > 1027.45\n",
"| | | | | | | | | | | |--- value: [93.56]\n",
"| | | | | | | |--- AFDP > 3.39\n",
"| | | | | | | | |--- value: [98.37]\n",
"| | | | | | |--- TIT > 1098.65\n",
"| | | | | | | |--- value: [119.91]\n",
"| | | |--- AFDP > 3.48\n",
"| | | | |--- AH <= 73.68\n",
"| | | | | |--- AFDP <= 4.14\n",
"| | | | | | |--- TIT <= 1086.85\n",
"| | | | | | | |--- AT <= 24.62\n",
"| | | | | | | | |--- AFDP <= 3.67\n",
"| | | | | | | | | |--- AH <= 60.03\n",
"| | | | | | | | | | |--- AP <= 1017.05\n",
"| | | | | | | | | | | |--- value: [61.55]\n",
"| | | | | | | | | | |--- AP > 1017.05\n",
"| | | | | | | | | | | |--- value: [64.74]\n",
"| | | | | | | | | |--- AH > 60.03\n",
"| | | | | | | | | | |--- AT <= 19.17\n",
"| | | | | | | | | | | |--- value: [61.64]\n",
"| | | | | | | | | | |--- AT > 19.17\n",
"| | | | | | | | | | | |--- value: [56.77]\n",
"| | | | | | | | |--- AFDP > 3.67\n",
"| | | | | | | | | |--- AT <= 19.39\n",
"| | | | | | | | | | |--- value: [69.74]\n",
"| | | | | | | | | |--- AT > 19.39\n",
"| | | | | | | | | | |--- AH <= 61.67\n",
"| | | | | | | | | | | |--- value: [65.42]\n",
"| | | | | | | | | | |--- AH > 61.67\n",
"| | | | | | | | | | | |--- value: [62.55]\n",
"| | | | | | | |--- AT > 24.62\n",
"| | | | | | | | |--- TIT <= 1085.25\n",
"| | | | | | | | | |--- AH <= 51.78\n",
"| | | | | | | | | | |--- AFDP <= 3.91\n",
"| | | | | | | | | | | |--- value: [64.12]\n",
"| | | | | | | | | | |--- AFDP > 3.91\n",
"| | | | | | | | | | | |--- value: [57.33]\n",
"| | | | | | | | | |--- AH > 51.78\n",
"| | | | | | | | | | |--- AT <= 24.72\n",
"| | | | | | | | | | | |--- value: [46.77]\n",
"| | | | | | | | | | |--- AT > 24.72\n",
"| | | | | | | | | | | |--- value: [56.22]\n",
"| | | | | | | | |--- TIT > 1085.25\n",
"| | | | | | | | | |--- AFDP <= 3.73\n",
"| | | | | | | | | | |--- value: [55.45]\n",
"| | | | | | | | | |--- AFDP > 3.73\n",
"| | | | | | | | | | |--- AP <= 1008.95\n",
"| | | | | | | | | | | |--- value: [63.43]\n",
"| | | | | | | | | | |--- AP > 1008.95\n",
"| | | | | | | | | | | |--- value: [60.23]\n",
"| | | | | | |--- TIT > 1086.85\n",
"| | | | | | | |--- TIT <= 1094.15\n",
"| | | | | | | | |--- AH <= 56.66\n",
"| | | | | | | | | |--- AFDP <= 3.83\n",
"| | | | | | | | | | |--- AP <= 1017.45\n",
"| | | | | | | | | | | |--- value: [64.15]\n",
"| | | | | | | | | | |--- AP > 1017.45\n",
"| | | | | | | | | | | |--- value: [71.57]\n",
"| | | | | | | | | |--- AFDP > 3.83\n",
"| | | | | | | | | | |--- AT <= 25.89\n",
"| | | | | | | | | | | |--- value: [70.26]\n",
"| | | | | | | | | | |--- AT > 25.89\n",
"| | | | | | | | | | | |--- value: [67.18]\n",
"| | | | | | | | |--- AH > 56.66\n",
"| | | | | | | | | |--- AP <= 1017.05\n",
"| | | | | | | | | | |--- AFDP <= 3.83\n",
"| | | | | | | | | | | |--- value: [62.23]\n",
"| | | | | | | | | | |--- AFDP > 3.83\n",
"| | | | | | | | | | | |--- value: [64.55]\n",
"| | | | | | | | | |--- AP > 1017.05\n",
"| | | | | | | | | | |--- AP <= 1018.35\n",
"| | | | | | | | | | | |--- value: [66.62]\n",
"| | | | | | | | | | |--- AP > 1018.35\n",
"| | | | | | | | | | | |--- value: [69.61]\n",
"| | | | | | | |--- TIT > 1094.15\n",
"| | | | | | | | |--- AT <= 25.80\n",
"| | | | | | | | | |--- AH <= 59.05\n",
"| | | | | | | | | | |--- AFDP <= 3.79\n",
"| | | | | | | | | | | |--- value: [62.21]\n",
"| | | | | | | | | | |--- AFDP > 3.79\n",
"| | | | | | | | | | | |--- value: [57.77]\n",
"| | | | | | | | | |--- AH > 59.05\n",
"| | | | | | | | | | |--- AH <= 69.99\n",
"| | | | | | | | | | | |--- value: [55.38]\n",
"| | | | | | | | | | |--- AH > 69.99\n",
"| | | | | | | | | | | |--- value: [60.78]\n",
"| | | | | | | | |--- AT > 25.80\n",
"| | | | | | | | | |--- TAT <= 549.48\n",
"| | | | | | | | | | |--- AP <= 1010.20\n",
"| | | | | | | | | | | |--- value: [52.19]\n",
"| | | | | | | | | | |--- AP > 1010.20\n",
"| | | | | | | | | | | |--- value: [60.11]\n",
"| | | | | | | | | |--- TAT > 549.48\n",
"| | | | | | | | | | |--- AH <= 39.04\n",
"| | | | | | | | | | | |--- value: [70.85]\n",
"| | | | | | | | | | |--- AH > 39.04\n",
"| | | | | | | | | | | |--- value: [63.50]\n",
"| | | | | |--- AFDP > 4.14\n",
"| | | | | | |--- AT <= 24.18\n",
"| | | | | | | |--- AFDP <= 5.30\n",
"| | | | | | | | |--- AT <= 21.60\n",
"| | | | | | | | | |--- AH <= 63.83\n",
"| | | | | | | | | | |--- TIT <= 1094.65\n",
"| | | | | | | | | | | |--- value: [75.26]\n",
"| | | | | | | | | | |--- TIT > 1094.65\n",
"| | | | | | | | | | | |--- value: [83.99]\n",
"| | | | | | | | | |--- AH > 63.83\n",
"| | | | | | | | | | |--- AP <= 999.46\n",
"| | | | | | | | | | | |--- value: [76.52]\n",
"| | | | | | | | | | |--- AP > 999.46\n",
"| | | | | | | | | | | |--- value: [71.47]\n",
"| | | | | | | | |--- AT > 21.60\n",
"| | | | | | | | | |--- AH <= 57.12\n",
"| | | | | | | | | | |--- AFDP <= 4.46\n",
"| | | | | | | | | | | |--- value: [73.27]\n",
"| | | | | | | | | | |--- AFDP > 4.46\n",
"| | | | | | | | | | | |--- value: [74.96]\n",
"| | | | | | | | | |--- AH > 57.12\n",
"| | | | | | | | | | |--- AP <= 1007.45\n",
"| | | | | | | | | | | |--- value: [72.14]\n",
"| | | | | | | | | | |--- AP > 1007.45\n",
"| | | | | | | | | | | |--- value: [67.92]\n",
"| | | | | | | |--- AFDP > 5.30\n",
"| | | | | | | | |--- AH <= 65.13\n",
"| | | | | | | | | |--- AFDP <= 5.31\n",
"| | | | | | | | | | |--- value: [82.15]\n",
"| | | | | | | | | |--- AFDP > 5.31\n",
"| | | | | | | | | | |--- AH <= 61.84\n",
"| | | | | | | | | | | |--- value: [73.67]\n",
"| | | | | | | | | | |--- AH > 61.84\n",
"| | | | | | | | | | | |--- value: [65.69]\n",
"| | | | | | | | |--- AH > 65.13\n",
"| | | | | | | | | |--- AP <= 1010.65\n",
"| | | | | | | | | | |--- value: [72.35]\n",
"| | | | | | | | | |--- AP > 1010.65\n",
"| | | | | | | | | | |--- AT <= 22.78\n",
"| | | | | | | | | | | |--- value: [86.31]\n",
"| | | | | | | | | | |--- AT > 22.78\n",
"| | | | | | | | | | | |--- value: [82.97]\n",
"| | | | | | |--- AT > 24.18\n",
"| | | | | | | |--- AH <= 53.69\n",
"| | | | | | | | |--- TIT <= 1088.00\n",
"| | | | | | | | | |--- AT <= 31.27\n",
"| | | | | | | | | | |--- value: [63.10]\n",
"| | | | | | | | | |--- AT > 31.27\n",
"| | | | | | | | | | |--- value: [57.24]\n",
"| | | | | | | | |--- TIT > 1088.00\n",
"| | | | | | | | | |--- AH <= 44.64\n",
"| | | | | | | | | | |--- AFDP <= 4.44\n",
"| | | | | | | | | | | |--- value: [71.05]\n",
"| | | | | | | | | | |--- AFDP > 4.44\n",
"| | | | | | | | | | | |--- value: [74.10]\n",
"| | | | | | | | | |--- AH > 44.64\n",
"| | | | | | | | | | |--- AT <= 31.15\n",
"| | | | | | | | | | | |--- value: [69.75]\n",
"| | | | | | | | | | |--- AT > 31.15\n",
"| | | | | | | | | | | |--- value: [66.26]\n",
"| | | | | | | |--- AH > 53.69\n",
"| | | | | | | | |--- AT <= 29.72\n",
"| | | | | | | | | |--- AH <= 61.35\n",
"| | | | | | | | | | |--- TIT <= 1084.30\n",
"| | | | | | | | | | | |--- value: [54.92]\n",
"| | | | | | | | | | |--- TIT > 1084.30\n",
"| | | | | | | | | | | |--- value: [67.08]\n",
"| | | | | | | | | |--- AH > 61.35\n",
"| | | | | | | | | | |--- AT <= 25.89\n",
"| | | | | | | | | | | |--- value: [65.94]\n",
"| | | | | | | | | | |--- AT > 25.89\n",
"| | | | | | | | | | | |--- value: [63.72]\n",
"| | | | | | | | |--- AT > 29.72\n",
"| | | | | | | | | |--- AH <= 64.74\n",
"| | | | | | | | | | |--- TIT <= 1085.60\n",
"| | | | | | | | | | | |--- value: [49.96]\n",
"| | | | | | | | | | |--- TIT > 1085.60\n",
"| | | | | | | | | | | |--- value: [63.75]\n",
"| | | | | | | | | |--- AH > 64.74\n",
"| | | | | | | | | | |--- AP <= 1007.15\n",
"| | | | | | | | | | | |--- value: [55.11]\n",
"| | | | | | | | | | |--- AP > 1007.15\n",
"| | | | | | | | | | | |--- value: [61.54]\n",
"| | | | |--- AH > 73.68\n",
"| | | | | |--- AT <= 23.13\n",
"| | | | | | |--- AFDP <= 4.77\n",
"| | | | | | | |--- AH <= 78.94\n",
"| | | | | | | | |--- AFDP <= 3.97\n",
"| | | | | | | | | |--- TIT <= 1095.45\n",
"| | | | | | | | | | |--- TIT <= 1092.30\n",
"| | | | | | | | | | | |--- value: [63.34]\n",
"| | | | | | | | | | |--- TIT > 1092.30\n",
"| | | | | | | | | | | |--- value: [55.32]\n",
"| | | | | | | | | |--- TIT > 1095.45\n",
"| | | | | | | | | | |--- value: [80.83]\n",
"| | | | | | | | |--- AFDP > 3.97\n",
"| | | | | | | | | |--- AT <= 17.82\n",
"| | | | | | | | | | |--- AP <= 1016.55\n",
"| | | | | | | | | | | |--- value: [73.51]\n",
"| | | | | | | | | | |--- AP > 1016.55\n",
"| | | | | | | | | | | |--- value: [66.41]\n",
"| | | | | | | | | |--- AT > 17.82\n",
"| | | | | | | | | | |--- TIT <= 1098.00\n",
"| | | | | | | | | | | |--- value: [66.67]\n",
"| | | | | | | | | | |--- TIT > 1098.00\n",
"| | | | | | | | | | | |--- value: [73.28]\n",
"| | | | | | | |--- AH > 78.94\n",
"| | | | | | | | |--- AT <= 21.05\n",
"| | | | | | | | | |--- TIT <= 1086.75\n",
"| | | | | | | | | | |--- AT <= 20.53\n",
"| | | | | | | | | | | |--- value: [61.82]\n",
"| | | | | | | | | | |--- AT > 20.53\n",
"| | | | | | | | | | | |--- value: [56.59]\n",
"| | | | | | | | | |--- TIT > 1086.75\n",
"| | | | | | | | | | |--- AFDP <= 3.63\n",
"| | | | | | | | | | | |--- value: [66.52]\n",
"| | | | | | | | | | |--- AFDP > 3.63\n",
"| | | | | | | | | | | |--- value: [63.69]\n",
"| | | | | | | | |--- AT > 21.05\n",
"| | | | | | | | | |--- AH <= 85.95\n",
"| | | | | | | | | | |--- AFDP <= 4.01\n",
"| | | | | | | | | | | |--- value: [61.76]\n",
"| | | | | | | | | | |--- AFDP > 4.01\n",
"| | | | | | | | | | | |--- value: [64.27]\n",
"| | | | | | | | | |--- AH > 85.95\n",
"| | | | | | | | | | |--- TIT <= 1086.80\n",
"| | | | | | | | | | | |--- value: [57.10]\n",
"| | | | | | | | | | |--- TIT > 1086.80\n",
"| | | | | | | | | | | |--- value: [61.26]\n",
"| | | | | | |--- AFDP > 4.77\n",
"| | | | | | | |--- AH <= 86.52\n",
"| | | | | | | | |--- AT <= 20.32\n",
"| | | | | | | | | |--- TIT <= 1088.85\n",
"| | | | | | | | | | |--- TIT <= 1088.15\n",
"| | | | | | | | | | | |--- value: [69.64]\n",
"| | | | | | | | | | |--- TIT > 1088.15\n",
"| | | | | | | | | | | |--- value: [73.47]\n",
"| | | | | | | | | |--- TIT > 1088.85\n",
"| | | | | | | | | | |--- AP <= 1010.85\n",
"| | | | | | | | | | | |--- value: [73.00]\n",
"| | | | | | | | | | |--- AP > 1010.85\n",
"| | | | | | | | | | | |--- value: [81.66]\n",
"| | | | | | | | |--- AT > 20.32\n",
"| | | | | | | | | |--- TIT <= 1093.45\n",
"| | | | | | | | | | |--- AT <= 23.01\n",
"| | | | | | | | | | | |--- value: [69.36]\n",
"| | | | | | | | | | |--- AT > 23.01\n",
"| | | | | | | | | | | |--- value: [61.16]\n",
"| | | | | | | | | |--- TIT > 1093.45\n",
"| | | | | | | | | | |--- value: [62.15]\n",
"| | | | | | | |--- AH > 86.52\n",
"| | | | | | | | |--- AFDP <= 5.25\n",
"| | | | | | | | | |--- AP <= 1013.90\n",
"| | | | | | | | | | |--- AH <= 92.36\n",
"| | | | | | | | | | | |--- value: [66.29]\n",
"| | | | | | | | | | |--- AH > 92.36\n",
"| | | | | | | | | | | |--- value: [60.63]\n",
"| | | | | | | | | |--- AP > 1013.90\n",
"| | | | | | | | | | |--- AH <= 96.46\n",
"| | | | | | | | | | | |--- value: [67.97]\n",
"| | | | | | | | | | |--- AH > 96.46\n",
"| | | | | | | | | | | |--- value: [65.31]\n",
"| | | | | | | | |--- AFDP > 5.25\n",
"| | | | | | | | | |--- TIT <= 1092.10\n",
"| | | | | | | | | | |--- AP <= 1007.85\n",
"| | | | | | | | | | | |--- value: [70.07]\n",
"| | | | | | | | | | |--- AP > 1007.85\n",
"| | | | | | | | | | | |--- value: [66.52]\n",
"| | | | | | | | | |--- TIT > 1092.10\n",
"| | | | | | | | | | |--- value: [77.77]\n",
"| | | | | |--- AT > 23.13\n",
"| | | | | | |--- AH <= 84.99\n",
"| | | | | | | |--- AT <= 26.79\n",
"| | | | | | | | |--- AFDP <= 4.05\n",
"| | | | | | | | | |--- AFDP <= 4.05\n",
"| | | | | | | | | | |--- TIT <= 1083.90\n",
"| | | | | | | | | | | |--- value: [54.99]\n",
"| | | | | | | | | | |--- TIT > 1083.90\n",
"| | | | | | | | | | | |--- value: [60.90]\n",
"| | | | | | | | | |--- AFDP > 4.05\n",
"| | | | | | | | | | |--- value: [27.77]\n",
"| | | | | | | | |--- AFDP > 4.05\n",
"| | | | | | | | | |--- AFDP <= 4.56\n",
"| | | | | | | | | | |--- TIT <= 1097.50\n",
"| | | | | | | | | | | |--- value: [62.72]\n",
"| | | | | | | | | | |--- TIT > 1097.50\n",
"| | | | | | | | | | | |--- value: [53.07]\n",
"| | | | | | | | | |--- AFDP > 4.56\n",
"| | | | | | | | | | |--- TAT <= 549.38\n",
"| | | | | | | | | | | |--- value: [75.17]\n",
"| | | | | | | | | | |--- TAT > 549.38\n",
"| | | | | | | | | | | |--- value: [60.02]\n",
"| | | | | | | |--- AT > 26.79\n",
"| | | | | | | | |--- TIT <= 1087.20\n",
"| | | | | | | | | |--- value: [52.22]\n",
"| | | | | | | | |--- TIT > 1087.20\n",
"| | | | | | | | | |--- TIT <= 1097.10\n",
"| | | | | | | | | | |--- AH <= 81.43\n",
"| | | | | | | | | | | |--- value: [60.34]\n",
"| | | | | | | | | | |--- AH > 81.43\n",
"| | | | | | | | | | | |--- value: [57.37]\n",
"| | | | | | | | | |--- TIT > 1097.10\n",
"| | | | | | | | | | |--- value: [54.39]\n",
"| | | | | | |--- AH > 84.99\n",
"| | | | | | | |--- AT <= 24.73\n",
"| | | | | | | | |--- AFDP <= 5.24\n",
"| | | | | | | | | |--- TIT <= 1090.25\n",
"| | | | | | | | | | |--- AFDP <= 4.07\n",
"| | | | | | | | | | | |--- value: [56.52]\n",
"| | | | | | | | | | |--- AFDP > 4.07\n",
"| | | | | | | | | | | |--- value: [58.85]\n",
"| | | | | | | | | |--- TIT > 1090.25\n",
"| | | | | | | | | | |--- AFDP <= 4.03\n",
"| | | | | | | | | | | |--- value: [58.77]\n",
"| | | | | | | | | | |--- AFDP > 4.03\n",
"| | | | | | | | | | | |--- value: [60.79]\n",
"| | | | | | | | |--- AFDP > 5.24\n",
"| | | | | | | | | |--- AT <= 24.28\n",
"| | | | | | | | | | |--- value: [73.83]\n",
"| | | | | | | | | |--- AT > 24.28\n",
"| | | | | | | | | | |--- value: [60.59]\n",
"| | | | | | | |--- AT > 24.73\n",
"| | | | | | | | |--- AFDP <= 4.24\n",
"| | | | | | | | | |--- AP <= 1007.10\n",
"| | | | | | | | | | |--- AT <= 26.48\n",
"| | | | | | | | | | | |--- value: [56.84]\n",
"| | | | | | | | | | |--- AT > 26.48\n",
"| | | | | | | | | | | |--- value: [53.11]\n",
"| | | | | | | | | |--- AP > 1007.10\n",
"| | | | | | | | | | |--- TAT <= 550.40\n",
"| | | | | | | | | | | |--- value: [60.01]\n",
"| | | | | | | | | | |--- TAT > 550.40\n",
"| | | | | | | | | | | |--- value: [54.18]\n",
"| | | | | | | | |--- AFDP > 4.24\n",
"| | | | | | | | | |--- TIT <= 1085.10\n",
"| | | | | | | | | | |--- value: [51.80]\n",
"| | | | | | | | | |--- TIT > 1085.10\n",
"| | | | | | | | | | |--- AT <= 27.50\n",
"| | | | | | | | | | | |--- value: [57.27]\n",
"| | | | | | | | | | |--- AT > 27.50\n",
"| | | | | | | | | | | |--- value: [54.66]\n",
"\n"
]
}
],
"source": [
"rules = tree.export_text(model, feature_names=X_train.columns.values.tolist())\n",
"print(rules)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"import pickle\n",
"\n",
"pickle.dump(model, open(\"data-turbine/tree-nox-gs.model.sav\", \"wb\"))"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|--- AT <= 16.96\n",
"| |--- TIT <= 1042.85\n",
"| | |--- TAT <= 541.98\n",
"| | | |--- TAT <= 537.80\n",
"| | | | |--- AFDP <= 3.44\n",
"| | | | | |--- AFDP <= 2.37\n",
"| | | | | | |--- AH <= 78.35\n",
"| | | | | | | |--- value: [103.29]\n",
"| | | | | | |--- AH > 78.35\n",
"| | | | | | | |--- value: [90.05]\n",
"| | | | | |--- AFDP > 2.37\n",
"| | | | | | |--- TAT <= 511.82\n",
"| | | | | | | |--- value: [66.00]\n",
"| | | | | | |--- TAT > 511.82\n",
"| | | | | | | |--- value: [107.99]\n",
"| | | | |--- AFDP > 3.44\n",
"| | | | | |--- AT <= 12.15\n",
"| | | | | | |--- AT <= 4.32\n",
"| | | | | | | |--- value: [108.91]\n",
"| | | | | | |--- AT > 4.32\n",
"| | | | | | | |--- value: [99.57]\n",
"| | | | | |--- AT > 12.15\n",
"| | | | | | |--- AH <= 86.21\n",
"| | | | | | | |--- value: [94.66]\n",
"| | | | | | |--- AH > 86.21\n",
"| | | | | | | |--- value: [77.41]\n",
"| | | |--- TAT > 537.80\n",
"| | | | |--- TIT <= 1033.75\n",
"| | | | | |--- AFDP <= 2.75\n",
"| | | | | | |--- TIT <= 1026.75\n",
"| | | | | | | |--- value: [99.48]\n",
"| | | | | | |--- TIT > 1026.75\n",
"| | | | | | | |--- value: [93.46]\n",
"| | | | | |--- AFDP > 2.75\n",
"| | | | | | |--- AFDP <= 3.51\n",
"| | | | | | | |--- value: [84.56]\n",
"| | | | | | |--- AFDP > 3.51\n",
"| | | | | | | |--- value: [116.14]\n",
"| | | | |--- TIT > 1033.75\n",
"| | | | | |--- AFDP <= 4.10\n",
"| | | | | | |--- AFDP <= 2.35\n",
"| | | | | | | |--- value: [90.93]\n",
"| | | | | | |--- AFDP > 2.35\n",
"| | | | | | | |--- value: [100.06]\n",
"| | | | | |--- AFDP > 4.10\n",
"| | | | | | |--- AH <= 93.66\n",
"| | | | | | | |--- value: [90.10]\n",
"| | | | | | |--- AH > 93.66\n",
"| | | | | | | |--- value: [96.66]\n",
"| | |--- TAT > 541.98\n",
"| | | |--- AT <= 3.44\n",
"| | | | |--- TAT <= 543.21\n",
"| | | | | |--- value: [92.00]\n",
"| | | | |--- TAT > 543.21\n",
"| | | | | |--- TAT <= 543.99\n",
"| | | | | | |--- value: [106.53]\n",
"| | | | | |--- TAT > 543.99\n",
"| | | | | | |--- TIT <= 1040.15\n",
"| | | | | | | |--- value: [119.49]\n",
"| | | | | | |--- TIT > 1040.15\n",
"| | | | | | | |--- value: [113.93]\n",
"| | | |--- AT > 3.44\n",
"| | | | |--- TAT <= 546.67\n",
"| | | | | |--- AH <= 99.98\n",
"| | | | | | |--- TAT <= 544.63\n",
"| | | | | | | |--- value: [87.62]\n",
"| | | | | | |--- TAT > 544.63\n",
"| | | | | | | |--- value: [82.41]\n",
"| | | | | |--- AH > 99.98\n",
"| | | | | | |--- AFDP <= 3.14\n",
"| | | | | | | |--- value: [113.92]\n",
"| | | | | | |--- AFDP > 3.14\n",
"| | | | | | | |--- value: [100.93]\n",
"| | | | |--- TAT > 546.67\n",
"| | | | | |--- TAT <= 549.32\n",
"| | | | | | |--- AH <= 95.18\n",
"| | | | | | | |--- value: [76.58]\n",
"| | | | | | |--- AH > 95.18\n",
"| | | | | | | |--- value: [88.23]\n",
"| | | | | |--- TAT > 549.32\n",
"| | | | | | |--- AT <= 15.03\n",
"| | | | | | | |--- value: [69.71]\n",
"| | | | | | |--- AT > 15.03\n",
"| | | | | | | |--- value: [61.13]\n",
"| |--- TIT > 1042.85\n",
"| | |--- AT <= 11.04\n",
"| | | |--- TIT <= 1097.70\n",
"| | | | |--- TIT <= 1060.15\n",
"| | | | | |--- TAT <= 547.68\n",
"| | | | | | |--- TAT <= 542.26\n",
"| | | | | | | |--- value: [97.62]\n",
"| | | | | | |--- TAT > 542.26\n",
"| | | | | | | |--- value: [91.20]\n",
"| | | | | |--- TAT > 547.68\n",
"| | | | | | |--- AT <= 8.25\n",
"| | | | | | | |--- value: [88.93]\n",
"| | | | | | |--- AT > 8.25\n",
"| | | | | | | |--- value: [74.97]\n",
"| | | | |--- TIT > 1060.15\n",
"| | | | | |--- AFDP <= 3.69\n",
"| | | | | | |--- AFDP <= 3.08\n",
"| | | | | | | |--- value: [77.84]\n",
"| | | | | | |--- AFDP > 3.08\n",
"| | | | | | | |--- value: [69.84]\n",
"| | | | | |--- AFDP > 3.69\n",
"| | | | | | |--- TIT <= 1089.05\n",
"| | | | | | | |--- value: [79.90]\n",
"| | | | | | |--- TIT > 1089.05\n",
"| | | | | | | |--- value: [73.06]\n",
"| | | |--- TIT > 1097.70\n",
"| | | | |--- AP <= 1020.95\n",
"| | | | | |--- TAT <= 539.04\n",
"| | | | | | |--- AFDP <= 4.09\n",
"| | | | | | | |--- value: [64.67]\n",
"| | | | | | |--- AFDP > 4.09\n",
"| | | | | | | |--- value: [68.45]\n",
"| | | | | |--- TAT > 539.04\n",
"| | | | | | |--- TAT <= 543.17\n",
"| | | | | | | |--- value: [76.21]\n",
"| | | | | | |--- TAT > 543.17\n",
"| | | | | | | |--- value: [85.44]\n",
"| | | | |--- AP > 1020.95\n",
"| | | | | |--- TAT <= 538.38\n",
"| | | | | | |--- TAT <= 529.57\n",
"| | | | | | | |--- value: [64.02]\n",
"| | | | | | |--- TAT > 529.57\n",
"| | | | | | | |--- value: [58.32]\n",
"| | | | | |--- TAT > 538.38\n",
"| | | | | | |--- AP <= 1022.35\n",
"| | | | | | | |--- value: [65.55]\n",
"| | | | | | |--- AP > 1022.35\n",
"| | | | | | | |--- value: [76.98]\n",
"| | |--- AT > 11.04\n",
"| | | |--- AT <= 13.96\n",
"| | | | |--- TIT <= 1057.20\n",
"| | | | | |--- TAT <= 549.57\n",
"| | | | | | |--- AH <= 80.06\n",
"| | | | | | | |--- value: [74.53]\n",
"| | | | | | |--- AH > 80.06\n",
"| | | | | | | |--- value: [82.98]\n",
"| | | | | |--- TAT > 549.57\n",
"| | | | | | |--- TIT <= 1051.30\n",
"| | | | | | | |--- value: [65.93]\n",
"| | | | | | |--- TIT > 1051.30\n",
"| | | | | | | |--- value: [74.49]\n",
"| | | | |--- TIT > 1057.20\n",
"| | | | | |--- TAT <= 539.06\n",
"| | | | | | |--- AP <= 1021.95\n",
"| | | | | | | |--- value: [67.23]\n",
"| | | | | | |--- AP > 1021.95\n",
"| | | | | | | |--- value: [60.92]\n",
"| | | | | |--- TAT > 539.06\n",
"| | | | | | |--- AFDP <= 3.85\n",
"| | | | | | | |--- value: [67.67]\n",
"| | | | | | |--- AFDP > 3.85\n",
"| | | | | | | |--- value: [73.93]\n",
"| | | |--- AT > 13.96\n",
"| | | | |--- TIT <= 1083.85\n",
"| | | | | |--- TIT <= 1063.35\n",
"| | | | | | |--- TAT <= 548.77\n",
"| | | | | | | |--- value: [79.60]\n",
"| | | | | | |--- TAT > 548.77\n",
"| | | | | | | |--- value: [66.54]\n",
"| | | | | |--- TIT > 1063.35\n",
"| | | | | | |--- AFDP <= 3.16\n",
"| | | | | | | |--- value: [66.38]\n",
"| | | | | | |--- AFDP > 3.16\n",
"| | | | | | | |--- value: [60.90]\n",
"| | | | |--- TIT > 1083.85\n",
"| | | | | |--- AP <= 1004.95\n",
"| | | | | | |--- AFDP <= 3.38\n",
"| | | | | | | |--- value: [78.23]\n",
"| | | | | | |--- AFDP > 3.38\n",
"| | | | | | | |--- value: [72.01]\n",
"| | | | | |--- AP > 1004.95\n",
"| | | | | | |--- AP <= 1025.95\n",
"| | | | | | | |--- value: [67.49]\n",
"| | | | | | |--- AP > 1025.95\n",
"| | | | | | | |--- value: [75.64]\n",
"|--- AT > 16.96\n",
"| |--- TIT <= 1083.05\n",
"| | |--- AT <= 20.42\n",
"| | | |--- TAT <= 549.47\n",
"| | | | |--- TIT <= 1052.20\n",
"| | | | | |--- TAT <= 546.17\n",
"| | | | | | |--- AP <= 1017.75\n",
"| | | | | | | |--- value: [92.58]\n",
"| | | | | | |--- AP > 1017.75\n",
"| | | | | | | |--- value: [80.30]\n",
"| | | | | |--- TAT > 546.17\n",
"| | | | | | |--- AFDP <= 3.02\n",
"| | | | | | | |--- value: [72.86]\n",
"| | | | | | |--- AFDP > 3.02\n",
"| | | | | | | |--- value: [79.31]\n",
"| | | | |--- TIT > 1052.20\n",
"| | | | | |--- TAT <= 543.83\n",
"| | | | | | |--- TIT <= 1073.50\n",
"| | | | | | | |--- value: [79.67]\n",
"| | | | | | |--- TIT > 1073.50\n",
"| | | | | | | |--- value: [69.65]\n",
"| | | | | |--- TAT > 543.83\n",
"| | | | | | |--- AT <= 17.56\n",
"| | | | | | | |--- value: [69.85]\n",
"| | | | | | |--- AT > 17.56\n",
"| | | | | | | |--- value: [60.94]\n",
"| | | |--- TAT > 549.47\n",
"| | | | |--- AFDP <= 3.96\n",
"| | | | | |--- TAT <= 550.28\n",
"| | | | | | |--- AH <= 75.66\n",
"| | | | | | | |--- value: [62.15]\n",
"| | | | | | |--- AH > 75.66\n",
"| | | | | | | |--- value: [58.41]\n",
"| | | | | |--- TAT > 550.28\n",
"| | | | | | |--- AFDP <= 2.67\n",
"| | | | | | | |--- value: [65.10]\n",
"| | | | | | |--- AFDP > 2.67\n",
"| | | | | | | |--- value: [53.28]\n",
"| | | | |--- AFDP > 3.96\n",
"| | | | | |--- TIT <= 1058.45\n",
"| | | | | | |--- AH <= 86.72\n",
"| | | | | | | |--- value: [71.68]\n",
"| | | | | | |--- AH > 86.72\n",
"| | | | | | | |--- value: [65.97]\n",
"| | | | | |--- TIT > 1058.45\n",
"| | | | | | |--- AH <= 72.16\n",
"| | | | | | | |--- value: [70.67]\n",
"| | | | | | |--- AH > 72.16\n",
"| | | | | | | |--- value: [60.43]\n",
"| | |--- AT > 20.42\n",
"| | | |--- AT <= 22.88\n",
"| | | | |--- AH <= 83.25\n",
"| | | | | |--- AFDP <= 3.92\n",
"| | | | | | |--- TIT <= 1080.95\n",
"| | | | | | | |--- value: [55.96]\n",
"| | | | | | |--- TIT > 1080.95\n",
"| | | | | | | |--- value: [61.58]\n",
"| | | | | |--- AFDP > 3.92\n",
"| | | | | | |--- AP <= 1015.95\n",
"| | | | | | | |--- value: [62.95]\n",
"| | | | | | |--- AP > 1015.95\n",
"| | | | | | | |--- value: [56.77]\n",
"| | | | |--- AH > 83.25\n",
"| | | | | |--- AT <= 21.29\n",
"| | | | | | |--- AFDP <= 2.87\n",
"| | | | | | | |--- value: [63.69]\n",
"| | | | | | |--- AFDP > 2.87\n",
"| | | | | | | |--- value: [54.94]\n",
"| | | | | |--- AT > 21.29\n",
"| | | | | | |--- TAT <= 547.70\n",
"| | | | | | | |--- value: [66.57]\n",
"| | | | | | |--- TAT > 547.70\n",
"| | | | | | | |--- value: [52.12]\n",
"| | | |--- AT > 22.88\n",
"| | | | |--- AH <= 75.36\n",
"| | | | | |--- AT <= 27.14\n",
"| | | | | | |--- AFDP <= 4.16\n",
"| | | | | | | |--- value: [54.14]\n",
"| | | | | | |--- AFDP > 4.16\n",
"| | | | | | | |--- value: [61.03]\n",
"| | | | | |--- AT > 27.14\n",
"| | | | | | |--- AH <= 56.81\n",
"| | | | | | | |--- value: [52.90]\n",
"| | | | | | |--- AH > 56.81\n",
"| | | | | | | |--- value: [50.37]\n",
"| | | | |--- AH > 75.36\n",
"| | | | | |--- AT <= 24.06\n",
"| | | | | | |--- TIT <= 1044.40\n",
"| | | | | | | |--- value: [72.94]\n",
"| | | | | | |--- TIT > 1044.40\n",
"| | | | | | | |--- value: [50.97]\n",
"| | | | | |--- AT > 24.06\n",
"| | | | | | |--- AH <= 90.84\n",
"| | | | | | | |--- value: [49.23]\n",
"| | | | | | |--- AH > 90.84\n",
"| | | | | | | |--- value: [46.92]\n",
"| |--- TIT > 1083.05\n",
"| | |--- TAT <= 548.92\n",
"| | | |--- TAT <= 538.45\n",
"| | | | |--- AFDP <= 4.28\n",
"| | | | | |--- TAT <= 530.58\n",
"| | | | | | |--- AFDP <= 4.09\n",
"| | | | | | | |--- value: [42.58]\n",
"| | | | | | |--- AFDP > 4.09\n",
"| | | | | | | |--- value: [72.18]\n",
"| | | | | |--- TAT > 530.58\n",
"| | | | | | |--- AP <= 1020.75\n",
"| | | | | | | |--- value: [73.39]\n",
"| | | | | | |--- AP > 1020.75\n",
"| | | | | | | |--- value: [78.93]\n",
"| | | | |--- AFDP > 4.28\n",
"| | | | | |--- AFDP <= 4.81\n",
"| | | | | | |--- AFDP <= 4.34\n",
"| | | | | | | |--- value: [49.96]\n",
"| | | | | | |--- AFDP > 4.34\n",
"| | | | | | | |--- value: [59.44]\n",
"| | | | | |--- AFDP > 4.81\n",
"| | | | | | |--- AT <= 27.95\n",
"| | | | | | | |--- value: [65.82]\n",
"| | | | | | |--- AT > 27.95\n",
"| | | | | | | |--- value: [59.80]\n",
"| | | |--- TAT > 538.45\n",
"| | | | |--- AFDP <= 4.12\n",
"| | | | | |--- AP <= 1019.55\n",
"| | | | | | |--- TIT <= 1091.95\n",
"| | | | | | | |--- value: [57.81]\n",
"| | | | | | |--- TIT > 1091.95\n",
"| | | | | | | |--- value: [64.39]\n",
"| | | | | |--- AP > 1019.55\n",
"| | | | | | |--- AFDP <= 3.88\n",
"| | | | | | | |--- value: [95.46]\n",
"| | | | | | |--- AFDP > 3.88\n",
"| | | | | | | |--- value: [75.19]\n",
"| | | | |--- AFDP > 4.12\n",
"| | | | | |--- AFDP <= 4.44\n",
"| | | | | | |--- TIT <= 1099.75\n",
"| | | | | | | |--- value: [57.23]\n",
"| | | | | | |--- TIT > 1099.75\n",
"| | | | | | | |--- value: [53.12]\n",
"| | | | | |--- AFDP > 4.44\n",
"| | | | | | |--- AT <= 19.02\n",
"| | | | | | | |--- value: [65.32]\n",
"| | | | | | |--- AT > 19.02\n",
"| | | | | | | |--- value: [57.12]\n",
"| | |--- TAT > 548.92\n",
"| | | |--- AFDP <= 3.48\n",
"| | | | |--- AP <= 1019.80\n",
"| | | | | |--- AP <= 1003.00\n",
"| | | | | | |--- AH <= 77.47\n",
"| | | | | | | |--- value: [81.46]\n",
"| | | | | | |--- AH > 77.47\n",
"| | | | | | | |--- value: [73.06]\n",
"| | | | | |--- AP > 1003.00\n",
"| | | | | | |--- AP <= 1015.95\n",
"| | | | | | | |--- value: [69.79]\n",
"| | | | | | |--- AP > 1015.95\n",
"| | | | | | | |--- value: [64.83]\n",
"| | | | |--- AP > 1019.80\n",
"| | | | | |--- TIT <= 1089.25\n",
"| | | | | | |--- AFDP <= 3.28\n",
"| | | | | | | |--- value: [82.26]\n",
"| | | | | | |--- AFDP > 3.28\n",
"| | | | | | | |--- value: [69.19]\n",
"| | | | | |--- TIT > 1089.25\n",
"| | | | | | |--- TIT <= 1098.65\n",
"| | | | | | | |--- value: [92.42]\n",
"| | | | | | |--- TIT > 1098.65\n",
"| | | | | | | |--- value: [119.91]\n",
"| | | |--- AFDP > 3.48\n",
"| | | | |--- AH <= 73.68\n",
"| | | | | |--- AFDP <= 4.14\n",
"| | | | | | |--- TIT <= 1086.85\n",
"| | | | | | | |--- value: [60.39]\n",
"| | | | | | |--- TIT > 1086.85\n",
"| | | | | | | |--- value: [64.14]\n",
"| | | | | |--- AFDP > 4.14\n",
"| | | | | | |--- AT <= 24.18\n",
"| | | | | | | |--- value: [71.77]\n",
"| | | | | | |--- AT > 24.18\n",
"| | | | | | | |--- value: [65.99]\n",
"| | | | |--- AH > 73.68\n",
"| | | | | |--- AT <= 23.13\n",
"| | | | | | |--- AFDP <= 4.77\n",
"| | | | | | | |--- value: [63.23]\n",
"| | | | | | |--- AFDP > 4.77\n",
"| | | | | | | |--- value: [69.07]\n",
"| | | | | |--- AT > 23.13\n",
"| | | | | | |--- AH <= 84.84\n",
"| | | | | | | |--- value: [61.24]\n",
"| | | | | | |--- AH > 84.84\n",
"| | | | | | | |--- value: [59.00]\n",
"\n"
]
}
],
"source": [
"rules2 = tree.export_text(\n",
" models[\"decision_tree\"][\"fitted\"], feature_names=X_train.columns.values.tolist()\n",
")\n",
"print(rules2)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"import pickle\n",
"\n",
"pickle.dump(model, open(\"data-turbine/tree-nox.model.sav\", \"wb\"))"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"data.to_csv(\"data-turbine/clear-data-nox.csv\", index=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}