fuzzy-rules-generator/temp_density_tree1.ipynb

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387 KiB
Plaintext

{
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"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"|--- Density <= 1.21\n",
"| |--- TiO2 <= 0.03\n",
"| | |--- Density <= 1.07\n",
"| | | |--- value: [48.33]\n",
"| | |--- Density > 1.07\n",
"| | | |--- Al2O3 <= 0.18\n",
"| | | | |--- Density <= 1.08\n",
"| | | | | |--- value: [37.50]\n",
"| | | | |--- Density > 1.08\n",
"| | | | | |--- value: [27.50]\n",
"| | | |--- Al2O3 > 0.18\n",
"| | | | |--- value: [50.00]\n",
"| |--- TiO2 > 0.03\n",
"| | |--- Density <= 1.19\n",
"| | | |--- TiO2 <= 0.18\n",
"| | | | |--- value: [50.00]\n",
"| | | |--- TiO2 > 0.18\n",
"| | | | |--- value: [65.00]\n",
"| | |--- Density > 1.19\n",
"| | | |--- value: [40.00]\n",
"|--- Density > 1.21\n",
"| |--- value: [25.00]\n",
"\n"
]
}
],
"source": [
"import pickle\n",
"import pandas as pd\n",
"from sklearn import tree\n",
"\n",
"model = pickle.load(open(\"data/temp_density_tree-gs.model.sav\", \"rb\"))\n",
"features = (\n",
" pd.read_csv(\"data/density_train.csv\", sep=\";\", decimal=\",\")\n",
" .drop([\"T\"], axis=1)\n",
" .columns.values.tolist()\n",
")\n",
"\n",
"rules = tree.export_text(model, feature_names=features)\n",
"print(rules)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"8"
]
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"metadata": {},
"output_type": "display_data"
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"data": {
"text/plain": [
"[if (Density > 1.208) -> 25.0,\n",
" if (Density <= 1.208) and (TiO2 <= 0.025) and (Density > 1.067) and (Al2O3 <= 0.175) and (Density > 1.079) -> 27.5,\n",
" if (Density <= 1.208) and (TiO2 <= 0.025) and (Density > 1.067) and (Al2O3 <= 0.175) and (Density <= 1.079) -> 37.5,\n",
" if (Density <= 1.208) and (TiO2 <= 0.025) and (Density > 1.067) and (Al2O3 > 0.175) -> 50.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) and (Density <= 1.193) and (TiO2 <= 0.175) -> 50.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) and (Density <= 1.193) and (TiO2 > 0.175) -> 65.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) and (Density > 1.193) -> 40.0,\n",
" if (Density <= 1.208) and (TiO2 <= 0.025) and (Density <= 1.067) -> 48.333]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import get_rules\n",
"\n",
"\n",
"rules = get_rules(model, features)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"8"
]
},
"metadata": {},
"output_type": "display_data"
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{
"data": {
"text/plain": [
"[if (Density > 1.208) -> 25.0,\n",
" if (Density <= 1.208) and (Density > 1.067) and (TiO2 <= 0.025) and (Al2O3 <= 0.175) -> 27.5,\n",
" if (Density <= 1.208) and (Density > 1.067) and (TiO2 <= 0.025) and (Al2O3 <= 0.175) -> 37.5,\n",
" if (Density <= 1.208) and (Density > 1.067) and (TiO2 <= 0.025) and (Al2O3 > 0.175) -> 50.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) and (TiO2 <= 0.175) -> 50.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) -> 65.0,\n",
" if (Density <= 1.208) and (Density > 1.193) and (TiO2 > 0.025) -> 40.0,\n",
" if (Density <= 1.208) and (TiO2 <= 0.025) -> 48.333]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import normalise_rules\n",
"\n",
"\n",
"rules = normalise_rules(rules)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"7"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[if (Density > 1.208) -> 25.0,\n",
" if (Density <= 1.208) and (Density > 1.067) and (TiO2 <= 0.025) and (Al2O3 <= 0.175) -> 32.5,\n",
" if (Density <= 1.208) and (Density > 1.067) and (TiO2 <= 0.025) and (Al2O3 > 0.175) -> 50.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) and (TiO2 <= 0.175) -> 50.0,\n",
" if (Density <= 1.208) and (TiO2 > 0.025) -> 65.0,\n",
" if (Density <= 1.208) and (Density > 1.193) and (TiO2 > 0.025) -> 40.0,\n",
" if (Density <= 1.208) and (TiO2 <= 0.025) -> 48.333]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import delete_same_rules\n",
"\n",
"\n",
"rules = delete_same_rules(rules)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>T</th>\n",
" <th>Al2O3</th>\n",
" <th>TiO2</th>\n",
" <th>Density</th>\n",
" </tr>\n",
" </thead>\n",
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" <td>1.05979</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.05404</td>\n",
" </tr>\n",
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"text/plain": [
" T Al2O3 TiO2 Density\n",
"0 20 0.0 0.0 1.06250\n",
"1 25 0.0 0.0 1.05979\n",
"2 35 0.0 0.0 1.05404"
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>T</th>\n",
" <th>Al2O3</th>\n",
" <th>TiO2</th>\n",
" <th>Density</th>\n",
" </tr>\n",
" </thead>\n",
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" <td>30</td>\n",
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" <th>1</th>\n",
" <td>55</td>\n",
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" <td>0.0</td>\n",
" <td>1.04158</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>25</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.08438</td>\n",
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"text/plain": [
" T Al2O3 TiO2 Density\n",
"0 30 0.00 0.0 1.05696\n",
"1 55 0.00 0.0 1.04158\n",
"2 25 0.05 0.0 1.08438"
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>25%</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>max</th>\n",
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" <th>T</th>\n",
" <td>38.0</td>\n",
" <td>45.526316</td>\n",
" <td>16.513282</td>\n",
" <td>20.00000</td>\n",
" <td>31.25000</td>\n",
" <td>45.000000</td>\n",
" <td>60.000000</td>\n",
" <td>70.0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Al2O3</th>\n",
" <td>38.0</td>\n",
" <td>0.078947</td>\n",
" <td>0.126080</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.3000</td>\n",
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" <tr>\n",
" <th>TiO2</th>\n",
" <td>38.0</td>\n",
" <td>0.057895</td>\n",
" <td>0.108133</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.3000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Density</th>\n",
" <td>38.0</td>\n",
" <td>1.108180</td>\n",
" <td>0.060772</td>\n",
" <td>1.03182</td>\n",
" <td>1.05763</td>\n",
" <td>1.082755</td>\n",
" <td>1.169058</td>\n",
" <td>1.2186</td>\n",
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"text/plain": [
" count mean std min 25% 50% \\\n",
"T 38.0 45.526316 16.513282 20.00000 31.25000 45.000000 \n",
"Al2O3 38.0 0.078947 0.126080 0.00000 0.00000 0.000000 \n",
"TiO2 38.0 0.057895 0.108133 0.00000 0.00000 0.000000 \n",
"Density 38.0 1.108180 0.060772 1.03182 1.05763 1.082755 \n",
"\n",
" 75% max \n",
"T 60.000000 70.0000 \n",
"Al2O3 0.050000 0.3000 \n",
"TiO2 0.050000 0.3000 \n",
"Density 1.169058 1.2186 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train = pd.read_csv(\"data/density_train.csv\", sep=\";\", decimal=\",\")\n",
"test = pd.read_csv(\"data/density_test.csv\", sep=\";\", decimal=\",\")\n",
"\n",
"train[\"Density\"] = train[\"Density\"]\n",
"test[\"Density\"] = test[\"Density\"]\n",
"\n",
"display(train.head(3))\n",
"display(test.head(3))\n",
"train.describe().transpose()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"7"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[if (Density = 1.219) -> 25.0,\n",
" if (Density = 1.138) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 32.5,\n",
" if (Density = 1.138) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 50.0,\n",
" if (Density = 1.032) and (TiO2 = 0.1) -> 50.0,\n",
" if (Density = 1.032) and (TiO2 = 0.3) -> 65.0,\n",
" if (Density = 1.2) and (TiO2 = 0.3) -> 40.0,\n",
" if (Density = 1.032) and (TiO2 = 0.0) -> 48.333]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import simplify_rules\n",
"\n",
"rules = simplify_rules(train, rules)\n",
"display(len(rules))\n",
"rules"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/skfuzzy/control/fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
" fig.show()\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"from skfuzzy import control as ctrl\n",
"import skfuzzy as fuzz\n",
"\n",
"al = ctrl.Antecedent(np.arange(0, 0.3, 0.1), \"al\")\n",
"ti = ctrl.Antecedent(np.arange(0, 0.3, 0.1), \"ti\")\n",
"density = ctrl.Antecedent(np.arange(1.03, 1.22, 0.001), \"density\")\n",
"# temp = ctrl.Consequent(train[\"T\"].sort_values().unique(), \"temp\")\n",
"temp = ctrl.Consequent(np.arange(20, 70, 1), \"temp\")\n",
"\n",
"al.automf(3, variable_type=\"quant\")\n",
"al.view()\n",
"ti.automf(3, variable_type=\"quant\")\n",
"ti.view()\n",
"density.automf(3, variable_type=\"quant\")\n",
"density.view()\n",
"temp.automf(7, variable_type=\"quant\")\n",
"temp.view()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"6"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[IF density[high] THEN temp[lower]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF (density[average] AND ti[low]) AND al[low] THEN temp[low]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF (density[average] AND ti[low]) AND al[high] THEN temp[high]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[low] AND ti[average] THEN temp[high]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[low] AND ti[high] THEN temp[highest]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax,\n",
" IF density[low] AND ti[low] THEN temp[average]\n",
" \tAND aggregation function : fmin\n",
" \tOR aggregation function : fmax]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.rules import get_fuzzy_rules\n",
"\n",
"fuzzy_variables = {\"Al2O3\": al, \"TiO2\": ti, \"Density\": density, \"consequent\": temp}\n",
"fuzzy_rules = get_fuzzy_rules(rules, fuzzy_variables)\n",
"fuzzy_rules.remove(fuzzy_rules[5])\n",
"\n",
"fuzzy_cntrl = ctrl.ControlSystem(fuzzy_rules)\n",
"\n",
"sim = ctrl.ControlSystemSimulation(fuzzy_cntrl, lenient=False)\n",
"\n",
"display(len(fuzzy_rules))\n",
"fuzzy_rules"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"=============\n",
" Antecedents \n",
"=============\n",
"Antecedent: density = 1.056\n",
" - low : 0.7248677248676944\n",
" - average : 0.27513227513230565\n",
" - high : 0.0\n",
"Antecedent: ti = 0.0\n",
" - low : 1.0\n",
" - average : 0.0\n",
" - high : 0.0\n",
"Antecedent: al = 0.0\n",
" - low : 1.0\n",
" - average : 0.0\n",
" - high : 0.0\n",
"\n",
"=======\n",
" Rules \n",
"=======\n",
"RULE #0:\n",
" IF density[high] THEN temp[lower]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[high] : 0.0\n",
" density[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[lower] : 0.0\n",
"\n",
"RULE #1:\n",
" IF (density[average] AND ti[low]) AND al[low] THEN temp[low]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[average] : 0.27513227513230565\n",
" - ti[low] : 1.0\n",
" - al[low] : 1.0\n",
" (density[average] AND ti[low]) AND al[low] = 0.27513227513230565\n",
" Activation (THEN-clause):\n",
" temp[low] : 0.27513227513230565\n",
"\n",
"RULE #2:\n",
" IF (density[average] AND ti[low]) AND al[high] THEN temp[high]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[average] : 0.27513227513230565\n",
" - ti[low] : 1.0\n",
" - al[high] : 0.0\n",
" (density[average] AND ti[low]) AND al[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[high] : 0.0\n",
"\n",
"RULE #3:\n",
" IF density[low] AND ti[average] THEN temp[high]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.7248677248676944\n",
" - ti[average] : 0.0\n",
" density[low] AND ti[average] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[high] : 0.0\n",
"\n",
"RULE #4:\n",
" IF density[low] AND ti[high] THEN temp[highest]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.7248677248676944\n",
" - ti[high] : 0.0\n",
" density[low] AND ti[high] = 0.0\n",
" Activation (THEN-clause):\n",
" temp[highest] : 0.0\n",
"\n",
"RULE #5:\n",
" IF density[low] AND ti[low] THEN temp[average]\n",
"\tAND aggregation function : fmin\n",
"\tOR aggregation function : fmax\n",
"\n",
" Aggregation (IF-clause):\n",
" - density[low] : 0.7248677248676944\n",
" - ti[low] : 1.0\n",
" density[low] AND ti[low] = 0.7248677248676944\n",
" Activation (THEN-clause):\n",
" temp[average] : 0.7248677248676944\n",
"\n",
"\n",
"==============================\n",
" Intermediaries and Conquests \n",
"==============================\n",
"Consequent: temp = 41.945501934095006\n",
" lowest:\n",
" Accumulate using accumulation_max : None\n",
" lower:\n",
" Accumulate using accumulation_max : 0.0\n",
" low:\n",
" Accumulate using accumulation_max : 0.27513227513230565\n",
" average:\n",
" Accumulate using accumulation_max : 0.7248677248676944\n",
" high:\n",
" Accumulate using accumulation_max : 0.0\n",
" higher:\n",
" Accumulate using accumulation_max : None\n",
" highest:\n",
" Accumulate using accumulation_max : 0.0\n",
"\n"
]
},
{
"data": {
"text/plain": [
"np.float64(41.945501934095006)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sim.input[\"al\"] = 0.0\n",
"sim.input[\"ti\"] = 0.0\n",
"sim.input[\"density\"] = 1.056\n",
"sim.compute()\n",
"sim.print_state()\n",
"display(sim.output[\"temp\"])\n",
"temp.view(sim=sim)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>T</th>\n",
" <th>Al2O3</th>\n",
" <th>TiO2</th>\n",
" <th>Density</th>\n",
" <th>Real</th>\n",
" <th>Inferred</th>\n",
" <th>RMSE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>20</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.06250</td>\n",
" <td>20</td>\n",
" <td>41.459120</td>\n",
" <td>21.459</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>25</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.05979</td>\n",
" <td>25</td>\n",
" <td>41.659673</td>\n",
" <td>16.660</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.05404</td>\n",
" <td>35</td>\n",
" <td>42.099779</td>\n",
" <td>7.100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>40</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.05103</td>\n",
" <td>40</td>\n",
" <td>42.347242</td>\n",
" <td>2.347</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>45</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.04794</td>\n",
" <td>45</td>\n",
" <td>42.610185</td>\n",
" <td>2.390</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>50</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.04477</td>\n",
" <td>50</td>\n",
" <td>42.889015</td>\n",
" <td>7.111</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>60</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.03826</td>\n",
" <td>60</td>\n",
" <td>43.534924</td>\n",
" <td>16.465</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>65</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.03484</td>\n",
" <td>65</td>\n",
" <td>43.903559</td>\n",
" <td>21.096</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>70</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>1.03182</td>\n",
" <td>70</td>\n",
" <td>44.262804</td>\n",
" <td>25.737</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>20</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.08755</td>\n",
" <td>20</td>\n",
" <td>39.993857</td>\n",
" <td>19.994</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>45</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.07105</td>\n",
" <td>45</td>\n",
" <td>40.851253</td>\n",
" <td>4.149</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>50</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.06760</td>\n",
" <td>50</td>\n",
" <td>41.091876</td>\n",
" <td>8.908</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>55</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.06409</td>\n",
" <td>55</td>\n",
" <td>41.342701</td>\n",
" <td>13.657</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>65</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.05691</td>\n",
" <td>65</td>\n",
" <td>41.875477</td>\n",
" <td>23.125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>70</td>\n",
" <td>0.05</td>\n",
" <td>0.0</td>\n",
" <td>1.05291</td>\n",
" <td>70</td>\n",
" <td>42.191078</td>\n",
" <td>27.809</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" T Al2O3 TiO2 Density Real Inferred RMSE\n",
"0 20 0.00 0.0 1.06250 20 41.459120 21.459\n",
"1 25 0.00 0.0 1.05979 25 41.659673 16.660\n",
"2 35 0.00 0.0 1.05404 35 42.099779 7.100\n",
"3 40 0.00 0.0 1.05103 40 42.347242 2.347\n",
"4 45 0.00 0.0 1.04794 45 42.610185 2.390\n",
"5 50 0.00 0.0 1.04477 50 42.889015 7.111\n",
"6 60 0.00 0.0 1.03826 60 43.534924 16.465\n",
"7 65 0.00 0.0 1.03484 65 43.903559 21.096\n",
"8 70 0.00 0.0 1.03182 70 44.262804 25.737\n",
"9 20 0.05 0.0 1.08755 20 39.993857 19.994\n",
"10 45 0.05 0.0 1.07105 45 40.851253 4.149\n",
"11 50 0.05 0.0 1.06760 50 41.091876 8.908\n",
"12 55 0.05 0.0 1.06409 55 41.342701 13.657\n",
"13 65 0.05 0.0 1.05691 65 41.875477 23.125\n",
"14 70 0.05 0.0 1.05291 70 42.191078 27.809"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn import metrics\n",
"import math\n",
"\n",
"\n",
"def fuzzy_pred(row):\n",
" sim.input[\"al\"] = row[\"Al2O3\"]\n",
" sim.input[\"ti\"] = row[\"TiO2\"]\n",
" sim.input[\"density\"] = row[\"Density\"]\n",
" sim.compute()\n",
" return sim.output[\"temp\"]\n",
"\n",
"\n",
"def rmse(row):\n",
" return math.sqrt(metrics.mean_squared_error([row[\"Real\"]], [row[\"Inferred\"]]))\n",
"\n",
"\n",
"result_train = train.copy()\n",
"result_train[\"Real\"] = result_train[\"T\"]\n",
"result_train[\"Inferred\"] = result_train.apply(fuzzy_pred, axis=1)\n",
"result_train[\"RMSE\"] = result_train.apply(rmse, axis=1)\n",
"result_train = result_train.round({\"RMSE\": 3})\n",
"result_train.head(15)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>T</th>\n",
" <th>Al2O3</th>\n",
" <th>TiO2</th>\n",
" <th>Density</th>\n",
" <th>Real</th>\n",
" <th>Inferred</th>\n",
" <th>RMSE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>30</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>1.05696</td>\n",
" <td>30</td>\n",
" <td>41.871657</td>\n",
" <td>11.872</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>55</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>1.04158</td>\n",
" <td>55</td>\n",
" <td>43.191501</td>\n",
" <td>11.808</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>25</td>\n",
" <td>0.05</td>\n",
" <td>0.00</td>\n",
" <td>1.08438</td>\n",
" <td>25</td>\n",
" <td>40.142006</td>\n",
" <td>15.142</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>30</td>\n",
" <td>0.05</td>\n",
" <td>0.00</td>\n",
" <td>1.08112</td>\n",
" <td>30</td>\n",
" <td>40.279597</td>\n",
" <td>10.280</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>35</td>\n",
" <td>0.05</td>\n",
" <td>0.00</td>\n",
" <td>1.07781</td>\n",
" <td>35</td>\n",
" <td>40.403354</td>\n",
" <td>5.403</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>40</td>\n",
" <td>0.05</td>\n",
" <td>0.00</td>\n",
" <td>1.07446</td>\n",
" <td>40</td>\n",
" <td>40.615252</td>\n",
" <td>0.615</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>60</td>\n",
" <td>0.05</td>\n",
" <td>0.00</td>\n",
" <td>1.06053</td>\n",
" <td>60</td>\n",
" <td>41.605489</td>\n",
" <td>18.395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>35</td>\n",
" <td>0.30</td>\n",
" <td>0.00</td>\n",
" <td>1.17459</td>\n",
" <td>35</td>\n",
" <td>39.941390</td>\n",
" <td>4.941</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>65</td>\n",
" <td>0.30</td>\n",
" <td>0.00</td>\n",
" <td>1.14812</td>\n",
" <td>65</td>\n",
" <td>44.873522</td>\n",
" <td>20.126</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>45</td>\n",
" <td>0.00</td>\n",
" <td>0.05</td>\n",
" <td>1.07424</td>\n",
" <td>45</td>\n",
" <td>44.652831</td>\n",
" <td>0.347</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>50</td>\n",
" <td>0.00</td>\n",
" <td>0.05</td>\n",
" <td>1.07075</td>\n",
" <td>50</td>\n",
" <td>44.842298</td>\n",
" <td>5.158</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>55</td>\n",
" <td>0.00</td>\n",
" <td>0.05</td>\n",
" <td>1.06721</td>\n",
" <td>55</td>\n",
" <td>45.048945</td>\n",
" <td>9.951</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>20</td>\n",
" <td>0.00</td>\n",
" <td>0.30</td>\n",
" <td>1.22417</td>\n",
" <td>20</td>\n",
" <td>28.180000</td>\n",
" <td>8.180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>30</td>\n",
" <td>0.00</td>\n",
" <td>0.30</td>\n",
" <td>1.21310</td>\n",
" <td>30</td>\n",
" <td>28.180272</td>\n",
" <td>1.820</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>40</td>\n",
" <td>0.00</td>\n",
" <td>0.30</td>\n",
" <td>1.20265</td>\n",
" <td>40</td>\n",
" <td>28.180858</td>\n",
" <td>11.819</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>60</td>\n",
" <td>0.00</td>\n",
" <td>0.30</td>\n",
" <td>1.18265</td>\n",
" <td>60</td>\n",
" <td>28.182820</td>\n",
" <td>31.817</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>70</td>\n",
" <td>0.00</td>\n",
" <td>0.30</td>\n",
" <td>1.17261</td>\n",
" <td>70</td>\n",
" <td>28.184796</td>\n",
" <td>41.815</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" T Al2O3 TiO2 Density Real Inferred RMSE\n",
"0 30 0.00 0.00 1.05696 30 41.871657 11.872\n",
"1 55 0.00 0.00 1.04158 55 43.191501 11.808\n",
"2 25 0.05 0.00 1.08438 25 40.142006 15.142\n",
"3 30 0.05 0.00 1.08112 30 40.279597 10.280\n",
"4 35 0.05 0.00 1.07781 35 40.403354 5.403\n",
"5 40 0.05 0.00 1.07446 40 40.615252 0.615\n",
"6 60 0.05 0.00 1.06053 60 41.605489 18.395\n",
"7 35 0.30 0.00 1.17459 35 39.941390 4.941\n",
"8 65 0.30 0.00 1.14812 65 44.873522 20.126\n",
"9 45 0.00 0.05 1.07424 45 44.652831 0.347\n",
"10 50 0.00 0.05 1.07075 50 44.842298 5.158\n",
"11 55 0.00 0.05 1.06721 55 45.048945 9.951\n",
"12 20 0.00 0.30 1.22417 20 28.180000 8.180\n",
"13 30 0.00 0.30 1.21310 30 28.180272 1.820\n",
"14 40 0.00 0.30 1.20265 40 28.180858 11.819\n",
"15 60 0.00 0.30 1.18265 60 28.182820 31.817\n",
"16 70 0.00 0.30 1.17261 70 28.184796 41.815"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result_test = test.copy()\n",
"result_test[\"Real\"] = result_test[\"T\"]\n",
"result_test[\"Inferred\"] = result_test.apply(fuzzy_pred, axis=1)\n",
"result_test[\"RMSE\"] = result_test.apply(rmse, axis=1)\n",
"result_test = result_test.round({\"RMSE\": 3})\n",
"result_test"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x1000 with 9 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"result_test.hist(bins=30, figsize=(10, 10))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'RMSE_train': 17.1096971907754,\n",
" 'RMSE_test': 16.286513096011436,\n",
" 'RMAE_test': 3.5104040610801057,\n",
" 'R2_test': -0.2434289870376889}"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rmetrics = {}\n",
"rmetrics[\"RMSE_train\"] = math.sqrt(\n",
" metrics.mean_squared_error(result_train[\"Real\"], result_train[\"Inferred\"])\n",
")\n",
"rmetrics[\"RMSE_test\"] = math.sqrt(\n",
" metrics.mean_squared_error(result_test[\"Real\"], result_test[\"Inferred\"])\n",
")\n",
"rmetrics[\"RMAE_test\"] = math.sqrt(\n",
" metrics.mean_absolute_error(result_test[\"Real\"], result_test[\"Inferred\"])\n",
")\n",
"rmetrics[\"R2_test\"] = metrics.r2_score(result_test[\"Real\"], result_test[\"Inferred\"])\n",
"\n",
"rmetrics"
]
}
],
"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
}