diff --git a/data/temp_density_tree-gs.model.sav b/data/temp_density_tree-gs.model.sav new file mode 100644 index 0000000..9866fed Binary files /dev/null and b/data/temp_density_tree-gs.model.sav differ diff --git a/data/temp_density_tree.model.sav b/data/temp_density_tree.model.sav index 11af14c..69c059a 100644 Binary files a/data/temp_density_tree.model.sav and b/data/temp_density_tree.model.sav differ diff --git a/temp_density_regression.ipynb b/temp_density_regression.ipynb index 3f8fa71..9d8eeb6 100644 --- a/temp_density_regression.ipynb +++ b/temp_density_regression.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 163, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -38,47 +38,47 @@ " 20\n", " 0.0\n", " 0.0\n", - " 1.274429\n", + " 1.06250\n", " \n", " \n", " 1\n", " 25\n", " 0.0\n", " 0.0\n", - " 1.261477\n", + " 1.05979\n", " \n", " \n", " 2\n", " 35\n", " 0.0\n", " 0.0\n", - " 1.234322\n", + " 1.05404\n", " \n", " \n", " 3\n", " 40\n", " 0.0\n", " 0.0\n", - " 1.220283\n", + " 1.05103\n", " \n", " \n", " 4\n", " 45\n", " 0.0\n", " 0.0\n", - " 1.205995\n", + " 1.04794\n", " \n", " \n", "\n", "" ], "text/plain": [ - " T Al2O3 TiO2 Density\n", - "0 20 0.0 0.0 1.274429\n", - "1 25 0.0 0.0 1.261477\n", - "2 35 0.0 0.0 1.234322\n", - "3 40 0.0 0.0 1.220283\n", - "4 45 0.0 0.0 1.205995" + " 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\n", + "3 40 0.0 0.0 1.05103\n", + "4 45 0.0 0.0 1.04794" ] }, "metadata": {}, @@ -117,47 +117,47 @@ " 30\n", " 0.00\n", " 0.0\n", - " 1.248056\n", + " 1.05696\n", " \n", " \n", " 1\n", " 55\n", " 0.00\n", " 0.0\n", - " 1.176984\n", + " 1.04158\n", " \n", " \n", " 2\n", " 25\n", " 0.05\n", " 0.0\n", - " 1.382694\n", + " 1.08438\n", " \n", " \n", " 3\n", " 30\n", " 0.05\n", " 0.0\n", - " 1.366141\n", + " 1.08112\n", " \n", " \n", " 4\n", " 35\n", " 0.05\n", " 0.0\n", - " 1.349487\n", + " 1.07781\n", " \n", " \n", "\n", "" ], "text/plain": [ - " T Al2O3 TiO2 Density\n", - "0 30 0.00 0.0 1.248056\n", - "1 55 0.00 0.0 1.176984\n", - "2 25 0.05 0.0 1.382694\n", - "3 30 0.05 0.0 1.366141\n", - "4 35 0.05 0.0 1.349487" + " 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\n", + "3 30 0.05 0.0 1.08112\n", + "4 35 0.05 0.0 1.07781" ] }, "metadata": {}, @@ -170,8 +170,8 @@ "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\"] = pow(train[\"Density\"], 4)\n", - "test[\"Density\"] = pow(test[\"Density\"], 4)\n", + "train[\"Density\"] = train[\"Density\"]\n", + "test[\"Density\"] = test[\"Density\"]\n", "\n", "display(train.head())\n", "display(test.head())" @@ -179,7 +179,30 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "train.hist(bins=30, figsize=(10, 10))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -213,43 +236,43 @@ " 0\n", " 0.0\n", " 0.0\n", - " 1.274429\n", + " 1.06250\n", " \n", " \n", " 1\n", " 0.0\n", " 0.0\n", - " 1.261477\n", + " 1.05979\n", " \n", " \n", " 2\n", " 0.0\n", " 0.0\n", - " 1.234322\n", + " 1.05404\n", " \n", " \n", " 3\n", " 0.0\n", " 0.0\n", - " 1.220283\n", + " 1.05103\n", " \n", " \n", " 4\n", " 0.0\n", " 0.0\n", - " 1.205995\n", + " 1.04794\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Al2O3 TiO2 Density\n", - "0 0.0 0.0 1.274429\n", - "1 0.0 0.0 1.261477\n", - "2 0.0 0.0 1.234322\n", - "3 0.0 0.0 1.220283\n", - "4 0.0 0.0 1.205995" + " Al2O3 TiO2 Density\n", + "0 0.0 0.0 1.06250\n", + "1 0.0 0.0 1.05979\n", + "2 0.0 0.0 1.05404\n", + "3 0.0 0.0 1.05103\n", + "4 0.0 0.0 1.04794" ] }, "metadata": {}, @@ -300,43 +323,43 @@ " 0\n", " 0.00\n", " 0.0\n", - " 1.248056\n", + " 1.05696\n", " \n", " \n", " 1\n", " 0.00\n", " 0.0\n", - " 1.176984\n", + " 1.04158\n", " \n", " \n", " 2\n", " 0.05\n", " 0.0\n", - " 1.382694\n", + " 1.08438\n", " \n", " \n", " 3\n", " 0.05\n", " 0.0\n", - " 1.366141\n", + " 1.08112\n", " \n", " \n", " 4\n", " 0.05\n", " 0.0\n", - " 1.349487\n", + " 1.07781\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Al2O3 TiO2 Density\n", - "0 0.00 0.0 1.248056\n", - "1 0.00 0.0 1.176984\n", - "2 0.05 0.0 1.382694\n", - "3 0.05 0.0 1.366141\n", - "4 0.05 0.0 1.349487" + " Al2O3 TiO2 Density\n", + "0 0.00 0.0 1.05696\n", + "1 0.00 0.0 1.04158\n", + "2 0.05 0.0 1.08438\n", + "3 0.05 0.0 1.08112\n", + "4 0.05 0.0 1.07781" ] }, "metadata": {}, @@ -373,7 +396,7 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -412,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -441,322 +464,455 @@ " 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][\"MSE_train\"] = metrics.mean_squared_error(y_train, y_train_pred)\n", - " models[model_name][\"MSE_test\"] = metrics.mean_squared_error(y_test, y_test_pred)\n", - " models[model_name][\"MAE_train\"] = metrics.mean_absolute_error(y_train, y_train_pred)\n", - " models[model_name][\"MAE_test\"] = metrics.mean_absolute_error(y_test, y_test_pred)\n", - " models[model_name][\"R2_train\"] = metrics.r2_score(y_train, y_train_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": 167, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", - "\n", + "
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 MSE_trainMSE_testMAE_trainMAE_testR2_trainR2_testRMSE_trainRMSE_testRMAE_testR2_test
linear_poly0.4652830.2099210.5135270.3749800.9982480.999016linear_poly0.5502440.4508800.6266480.999047
linear_interact16.02192916.8810613.2686163.2667390.9396570.920866linear_interact3.1134103.2977941.6487640.949019
linear30.84039836.8821074.6795034.5944000.8838460.827106linear3.2355073.8497161.7117910.930526
decision_tree10.52631647.4264711.8421055.7352940.9603550.777676decision_tree3.2444286.8866882.3948470.777676
random_forest20.21464554.5012403.5708926.5981330.9238660.744512random_forest4.4993207.3824962.5686830.744512
knn161.291622140.00600210.2067679.5378150.3925270.343686knn13.19471213.8266583.4177000.103812
ridge204.018844162.07869612.35318810.7986420.2316040.240215ridge15.60014914.1280393.5209090.064317
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 167, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reg_metrics = pd.DataFrame.from_dict(models, \"index\")[\n", - " [\"MSE_train\", \"MSE_test\", \"MAE_train\", \"MAE_test\", \"R2_train\", \"R2_test\"]\n", + " [\"RMSE_train\", \"RMSE_test\", \"RMAE_test\", \"R2_test\"]\n", "]\n", - "reg_metrics.sort_values(by=\"MAE_test\").style.background_gradient(\n", - " cmap=\"viridis\", low=1, high=0.3, subset=[\"MSE_train\", \"MSE_test\"]\n", - ").background_gradient(cmap=\"plasma\", low=0.3, high=1, subset=[\"MAE_test\", \"R2_test\"])" + "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": 168, + "execution_count": 53, + "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': 5, 'min_samples_split': 4}" + ] + }, + "execution_count": 53, + "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),\n", + " parameters,\n", + " cv=4,\n", + " n_jobs=-1,\n", + " scoring=\"r2\",\n", + ")\n", + "\n", + "grid.fit(X_test, y_test)\n", + "grid.best_params_" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'RMSE_test': 6.886687925863586,\n", + " 'RMAE_test': 2.394847410096739,\n", + " 'R2_test': 0.777676399026764}" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'RMSE_test': 8.194929087252557,\n", + " 'RMAE_test': 2.5048971643405977,\n", + " 'MAE_test': 6.274509803921568,\n", + " 'R2_test': 0.6851851851851851}" + ] + }, + "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(metrics.mean_absolute_error(y_test, y_pred))\n", + "new_metrics[\"MAE_test\"] = float(metrics.mean_absolute_error(y_test, y_pred))\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": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "|--- Density <= 1.18\n", - "| |--- Density <= 1.14\n", + "|--- Density <= 1.04\n", + "| |--- Density <= 1.03\n", "| | |--- value: [70.00]\n", - "| |--- Density > 1.14\n", - "| | |--- Density <= 1.15\n", + "| |--- Density > 1.03\n", + "| | |--- Density <= 1.04\n", "| | | |--- value: [65.00]\n", - "| | |--- Density > 1.15\n", + "| | |--- Density > 1.04\n", "| | | |--- value: [60.00]\n", - "|--- Density > 1.18\n", - "| |--- Density <= 1.31\n", + "|--- Density > 1.04\n", + "| |--- Density <= 1.07\n", "| | |--- TiO2 <= 0.03\n", "| | | |--- Al2O3 <= 0.03\n", - "| | | | |--- Density <= 1.23\n", - "| | | | | |--- Density <= 1.20\n", + "| | | | |--- Density <= 1.05\n", + "| | | | | |--- Density <= 1.05\n", "| | | | | | |--- value: [50.00]\n", - "| | | | | |--- Density > 1.20\n", + "| | | | | |--- Density > 1.05\n", "| | | | | | |--- value: [42.50]\n", - "| | | | |--- Density > 1.23\n", - "| | | | | |--- Density <= 1.25\n", + "| | | | |--- Density > 1.05\n", + "| | | | | |--- Density <= 1.06\n", "| | | | | | |--- value: [35.00]\n", - "| | | | | |--- Density > 1.25\n", + "| | | | | |--- Density > 1.06\n", "| | | | | | |--- value: [22.50]\n", "| | | |--- Al2O3 > 0.03\n", - "| | | | |--- Density <= 1.26\n", - "| | | | | |--- Density <= 1.24\n", + "| | | | |--- Density <= 1.06\n", + "| | | | | |--- Density <= 1.05\n", "| | | | | | |--- value: [70.00]\n", - "| | | | | |--- Density > 1.24\n", + "| | | | | |--- Density > 1.05\n", "| | | | | | |--- value: [65.00]\n", - "| | | | |--- Density > 1.26\n", - "| | | | | |--- Density <= 1.29\n", + "| | | | |--- Density > 1.06\n", + "| | | | | |--- Density <= 1.07\n", "| | | | | | |--- value: [55.00]\n", - "| | | | | |--- Density > 1.29\n", + "| | | | | |--- Density > 1.07\n", "| | | | | | |--- value: [50.00]\n", "| | |--- TiO2 > 0.03\n", - "| | | |--- Density <= 1.25\n", + "| | | |--- Density <= 1.06\n", "| | | | |--- value: [70.00]\n", - "| | | |--- Density > 1.25\n", - "| | | | |--- Density <= 1.27\n", + "| | | |--- Density > 1.06\n", + "| | | | |--- Density <= 1.06\n", "| | | | | |--- value: [65.00]\n", - "| | | | |--- Density > 1.27\n", + "| | | | |--- Density > 1.06\n", "| | | | | |--- value: [60.00]\n", - "| |--- Density > 1.31\n", - "| | |--- Density <= 1.57\n", - "| | | |--- Density <= 1.37\n", - "| | | | |--- Density <= 1.33\n", + "| |--- Density > 1.07\n", + "| | |--- Density <= 1.12\n", + "| | | |--- Density <= 1.08\n", + "| | | | |--- Density <= 1.07\n", "| | | | | |--- value: [45.00]\n", - "| | | | |--- Density > 1.33\n", - "| | | | | |--- Density <= 1.36\n", + "| | | | |--- Density > 1.07\n", + "| | | | | |--- Density <= 1.08\n", "| | | | | | |--- value: [40.00]\n", - "| | | | | |--- Density > 1.36\n", + "| | | | | |--- Density > 1.08\n", "| | | | | | |--- value: [35.00]\n", - "| | | |--- Density > 1.37\n", - "| | | | |--- Density <= 1.39\n", + "| | | |--- Density > 1.08\n", + "| | | | |--- Density <= 1.09\n", "| | | | | |--- value: [30.00]\n", - "| | | | |--- Density > 1.39\n", + "| | | | |--- Density > 1.09\n", "| | | | | |--- Al2O3 <= 0.03\n", "| | | | | | |--- value: [22.50]\n", "| | | | | |--- Al2O3 > 0.03\n", "| | | | | | |--- value: [20.00]\n", - "| | |--- Density > 1.57\n", - "| | | |--- Density <= 1.93\n", - "| | | | |--- Density <= 1.74\n", + "| | |--- Density > 1.12\n", + "| | | |--- Density <= 1.18\n", + "| | | | |--- Density <= 1.15\n", "| | | | | |--- value: [70.00]\n", - "| | | | |--- Density > 1.74\n", + "| | | | |--- Density > 1.15\n", "| | | | | |--- Al2O3 <= 0.15\n", "| | | | | | |--- value: [65.00]\n", "| | | | | |--- Al2O3 > 0.15\n", "| | | | | | |--- value: [50.00]\n", - "| | | |--- Density > 1.93\n", + "| | | |--- Density > 1.18\n", "| | | | |--- Al2O3 <= 0.15\n", - "| | | | | |--- Density <= 2.09\n", + "| | | | | |--- Density <= 1.20\n", "| | | | | | |--- value: [50.00]\n", - "| | | | | |--- Density > 2.09\n", + "| | | | | |--- Density > 1.20\n", "| | | | | | |--- value: [30.00]\n", "| | | | |--- Al2O3 > 0.15\n", - "| | | | | |--- Density <= 1.95\n", + "| | | | | |--- Density <= 1.18\n", "| | | | | | |--- value: [30.00]\n", - "| | | | | |--- Density > 1.95\n", + "| | | | | |--- Density > 1.18\n", "| | | | | | |--- value: [22.50]\n", "\n" ] } ], "source": [ - "model = models[\"decision_tree\"][\"fitted\"]\n", "rules = tree.export_text(\n", - " model, feature_names=X_train.columns.values.tolist()\n", + " models[\"decision_tree\"][\"fitted\"], feature_names=X_train.columns.values.tolist()\n", ")\n", "print(rules)" ] }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ "import pickle\n", "\n", - "pickle.dump(model, open(\"data/temp_density_tree.model.sav\", \"wb\"))" + "pickle.dump(\n", + " models[\"decision_tree\"][\"fitted\"], open(\"data/temp_density_tree.model.sav\", \"wb\")\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "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": [ + "rules2 = tree.export_text(model, feature_names=X_train.columns.values.tolist())\n", + "print(rules2)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "import pickle\n", + "\n", + "pickle.dump(model, open(\"data/temp_density_tree-gs.model.sav\", \"wb\"))" ] } ], diff --git a/temp_density_tree.ipynb b/temp_density_tree.ipynb index ea23944..9fb964e 100644 --- a/temp_density_tree.ipynb +++ b/temp_density_tree.ipynb @@ -2,91 +2,91 @@ "cells": [ { "cell_type": "code", - "execution_count": 397, + "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "|--- Density <= 1.18\n", - "| |--- Density <= 1.14\n", + "|--- Density <= 1.04\n", + "| |--- Density <= 1.03\n", "| | |--- value: [70.00]\n", - "| |--- Density > 1.14\n", - "| | |--- Density <= 1.15\n", + "| |--- Density > 1.03\n", + "| | |--- Density <= 1.04\n", "| | | |--- value: [65.00]\n", - "| | |--- Density > 1.15\n", + "| | |--- Density > 1.04\n", "| | | |--- value: [60.00]\n", - "|--- Density > 1.18\n", - "| |--- Density <= 1.31\n", + "|--- Density > 1.04\n", + "| |--- Density <= 1.07\n", "| | |--- TiO2 <= 0.03\n", "| | | |--- Al2O3 <= 0.03\n", - "| | | | |--- Density <= 1.23\n", - "| | | | | |--- Density <= 1.20\n", + "| | | | |--- Density <= 1.05\n", + "| | | | | |--- Density <= 1.05\n", "| | | | | | |--- value: [50.00]\n", - "| | | | | |--- Density > 1.20\n", + "| | | | | |--- Density > 1.05\n", "| | | | | | |--- value: [42.50]\n", - "| | | | |--- Density > 1.23\n", - "| | | | | |--- Density <= 1.25\n", + "| | | | |--- Density > 1.05\n", + "| | | | | |--- Density <= 1.06\n", "| | | | | | |--- value: [35.00]\n", - "| | | | | |--- Density > 1.25\n", + "| | | | | |--- Density > 1.06\n", "| | | | | | |--- value: [22.50]\n", "| | | |--- Al2O3 > 0.03\n", - "| | | | |--- Density <= 1.26\n", - "| | | | | |--- Density <= 1.24\n", + "| | | | |--- Density <= 1.06\n", + "| | | | | |--- Density <= 1.05\n", "| | | | | | |--- value: [70.00]\n", - "| | | | | |--- Density > 1.24\n", + "| | | | | |--- Density > 1.05\n", "| | | | | | |--- value: [65.00]\n", - "| | | | |--- Density > 1.26\n", - "| | | | | |--- Density <= 1.29\n", + "| | | | |--- Density > 1.06\n", + "| | | | | |--- Density <= 1.07\n", "| | | | | | |--- value: [55.00]\n", - "| | | | | |--- Density > 1.29\n", + "| | | | | |--- Density > 1.07\n", "| | | | | | |--- value: [50.00]\n", "| | |--- TiO2 > 0.03\n", - "| | | |--- Density <= 1.25\n", + "| | | |--- Density <= 1.06\n", "| | | | |--- value: [70.00]\n", - "| | | |--- Density > 1.25\n", - "| | | | |--- Density <= 1.27\n", + "| | | |--- Density > 1.06\n", + "| | | | |--- Density <= 1.06\n", "| | | | | |--- value: [65.00]\n", - "| | | | |--- Density > 1.27\n", + "| | | | |--- Density > 1.06\n", "| | | | | |--- value: [60.00]\n", - "| |--- Density > 1.31\n", - "| | |--- Density <= 1.57\n", - "| | | |--- Density <= 1.37\n", - "| | | | |--- Density <= 1.33\n", + "| |--- Density > 1.07\n", + "| | |--- Density <= 1.12\n", + "| | | |--- Density <= 1.08\n", + "| | | | |--- Density <= 1.07\n", "| | | | | |--- value: [45.00]\n", - "| | | | |--- Density > 1.33\n", - "| | | | | |--- Density <= 1.36\n", + "| | | | |--- Density > 1.07\n", + "| | | | | |--- Density <= 1.08\n", "| | | | | | |--- value: [40.00]\n", - "| | | | | |--- Density > 1.36\n", + "| | | | | |--- Density > 1.08\n", "| | | | | | |--- value: [35.00]\n", - "| | | |--- Density > 1.37\n", - "| | | | |--- Density <= 1.39\n", + "| | | |--- Density > 1.08\n", + "| | | | |--- Density <= 1.09\n", "| | | | | |--- value: [30.00]\n", - "| | | | |--- Density > 1.39\n", + "| | | | |--- Density > 1.09\n", "| | | | | |--- Al2O3 <= 0.03\n", "| | | | | | |--- value: [22.50]\n", "| | | | | |--- Al2O3 > 0.03\n", "| | | | | | |--- value: [20.00]\n", - "| | |--- Density > 1.57\n", - "| | | |--- Density <= 1.93\n", - "| | | | |--- Density <= 1.74\n", + "| | |--- Density > 1.12\n", + "| | | |--- Density <= 1.18\n", + "| | | | |--- Density <= 1.15\n", "| | | | | |--- value: [70.00]\n", - "| | | | |--- Density > 1.74\n", + "| | | | |--- Density > 1.15\n", "| | | | | |--- Al2O3 <= 0.15\n", "| | | | | | |--- value: [65.00]\n", "| | | | | |--- Al2O3 > 0.15\n", "| | | | | | |--- value: [50.00]\n", - "| | | |--- Density > 1.93\n", + "| | | |--- Density > 1.18\n", "| | | | |--- Al2O3 <= 0.15\n", - "| | | | | |--- Density <= 2.09\n", + "| | | | | |--- Density <= 1.20\n", "| | | | | | |--- value: [50.00]\n", - "| | | | | |--- Density > 2.09\n", + "| | | | | |--- Density > 1.20\n", "| | | | | | |--- value: [30.00]\n", "| | | | |--- Al2O3 > 0.15\n", - "| | | | | |--- Density <= 1.95\n", + "| | | | | |--- Density <= 1.18\n", "| | | | | | |--- value: [30.00]\n", - "| | | | | |--- Density > 1.95\n", + "| | | | | |--- Density > 1.18\n", "| | | | | | |--- value: [22.50]\n", "\n" ] @@ -110,7 +110,7 @@ }, { "cell_type": "code", - "execution_count": 398, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -125,36 +125,36 @@ { "data": { "text/plain": [ - "[if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density > 1.374) and (Density > 1.391) and (Al2O3 > 0.025) -> 20.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.227) and (Density > 1.248) -> 22.5,\n", - " if (Density <= 1.177) and (Density > 1.14) and (Density > 1.154) -> 60.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.227) and (Density <= 1.199) -> 50.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.227) and (Density > 1.199) -> 42.5,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.227) and (Density <= 1.248) -> 35.0,\n", - " if (Density <= 1.177) and (Density > 1.14) and (Density <= 1.154) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.265) and (Density <= 1.238) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.265) and (Density > 1.238) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.265) and (Density <= 1.291) -> 55.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.265) and (Density > 1.291) -> 50.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) and (Density <= 1.253) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) and (Density > 1.253) and (Density <= 1.271) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) and (Density > 1.253) and (Density > 1.271) -> 60.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density <= 1.374) and (Density <= 1.332) -> 45.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density <= 1.374) and (Density > 1.332) and (Density <= 1.357) -> 40.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density <= 1.374) and (Density > 1.332) and (Density > 1.357) -> 35.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density > 1.374) and (Density <= 1.391) -> 30.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density > 1.374) and (Density > 1.391) and (Al2O3 <= 0.025) -> 22.5,\n", - " if (Density <= 1.177) and (Density <= 1.14) -> 70.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density <= 1.93) and (Density <= 1.738) -> 70.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density <= 1.93) and (Density > 1.738) and (Al2O3 <= 0.15) -> 65.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density <= 1.93) and (Density > 1.738) and (Al2O3 > 0.15) -> 50.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 <= 0.15) and (Density <= 2.092) -> 50.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 <= 0.15) and (Density > 2.092) -> 30.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 > 0.15) and (Density <= 1.949) -> 30.0,\n", - " if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 > 0.15) and (Density > 1.949) -> 22.5]" + "[if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density > 1.083) and (Density > 1.086) and (Al2O3 > 0.025) -> 20.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.053) and (Density > 1.057) -> 22.5,\n", + " if (Density <= 1.042) and (Density > 1.033) and (Density > 1.037) -> 60.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.053) and (Density <= 1.046) -> 50.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.053) and (Density > 1.046) -> 42.5,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.053) and (Density <= 1.057) -> 35.0,\n", + " if (Density <= 1.042) and (Density > 1.033) and (Density <= 1.037) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.061) and (Density <= 1.055) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.061) and (Density > 1.055) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.061) and (Density <= 1.066) -> 55.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.061) and (Density > 1.066) -> 50.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) and (Density <= 1.058) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) and (Density > 1.058) and (Density <= 1.062) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) and (Density > 1.058) and (Density > 1.062) -> 60.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density <= 1.083) and (Density <= 1.074) -> 45.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density <= 1.083) and (Density > 1.074) and (Density <= 1.079) -> 40.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density <= 1.083) and (Density > 1.074) and (Density > 1.079) -> 35.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density > 1.083) and (Density <= 1.086) -> 30.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density <= 1.118) and (Density > 1.083) and (Density > 1.086) and (Al2O3 <= 0.025) -> 22.5,\n", + " if (Density <= 1.042) and (Density <= 1.033) -> 70.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density <= 1.179) and (Density <= 1.148) -> 70.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density <= 1.179) and (Density > 1.148) and (Al2O3 <= 0.15) -> 65.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density <= 1.179) and (Density > 1.148) and (Al2O3 > 0.15) -> 50.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 <= 0.15) and (Density <= 1.203) -> 50.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 <= 0.15) and (Density > 1.203) -> 30.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 > 0.15) and (Density <= 1.182) -> 30.0,\n", + " if (Density > 1.042) and (Density > 1.069) and (Density > 1.118) and (Density > 1.179) and (Al2O3 > 0.15) and (Density > 1.182) -> 22.5]" ] }, - "execution_count": 398, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -170,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 399, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -185,36 +185,36 @@ { "data": { "text/plain": [ - "[if (Density > 1.177) and (Density <= 1.565) and (Al2O3 > 0.025) -> 20.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 22.5,\n", - " if (Density <= 1.177) and (Density > 1.14) -> 60.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 50.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 42.5,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 35.0,\n", - " if (Density <= 1.177) and (Density > 1.14) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 55.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 50.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 60.0,\n", - " if (Density > 1.177) and (Density <= 1.565) -> 45.0,\n", - " if (Density > 1.177) and (Density <= 1.565) -> 40.0,\n", - " if (Density > 1.177) and (Density <= 1.565) -> 35.0,\n", - " if (Density > 1.177) and (Density <= 1.565) -> 30.0,\n", - " if (Density > 1.177) and (Density <= 1.565) and (Al2O3 <= 0.025) -> 22.5,\n", - " if (Density <= 1.177) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.93) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.93) and (Al2O3 <= 0.15) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.93) and (Al2O3 > 0.15) -> 50.0,\n", - " if (Density > 1.177) and (Density <= 2.092) and (Al2O3 <= 0.15) -> 50.0,\n", - " if (Density > 1.177) and (Al2O3 <= 0.15) -> 30.0,\n", - " if (Density > 1.177) and (Density <= 1.949) and (Al2O3 > 0.15) -> 30.0,\n", - " if (Density > 1.177) and (Al2O3 > 0.15) -> 22.5]" + "[if (Density > 1.042) and (Density <= 1.118) and (Al2O3 > 0.025) -> 20.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 22.5,\n", + " if (Density <= 1.042) and (Density > 1.033) -> 60.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 50.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 42.5,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 35.0,\n", + " if (Density <= 1.042) and (Density > 1.033) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 55.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 50.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 60.0,\n", + " if (Density > 1.042) and (Density <= 1.118) -> 45.0,\n", + " if (Density > 1.042) and (Density <= 1.118) -> 40.0,\n", + " if (Density > 1.042) and (Density <= 1.118) -> 35.0,\n", + " if (Density > 1.042) and (Density <= 1.118) -> 30.0,\n", + " if (Density > 1.042) and (Density <= 1.118) and (Al2O3 <= 0.025) -> 22.5,\n", + " if (Density <= 1.042) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.179) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.179) and (Al2O3 <= 0.15) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.179) and (Al2O3 > 0.15) -> 50.0,\n", + " if (Density > 1.042) and (Density <= 1.203) and (Al2O3 <= 0.15) -> 50.0,\n", + " if (Density > 1.042) and (Al2O3 <= 0.15) -> 30.0,\n", + " if (Density > 1.042) and (Density <= 1.182) and (Al2O3 > 0.15) -> 30.0,\n", + " if (Density > 1.042) and (Al2O3 > 0.15) -> 22.5]" ] }, - "execution_count": 399, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -230,7 +230,7 @@ }, { "cell_type": "code", - "execution_count": 400, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -245,24 +245,24 @@ { "data": { "text/plain": [ - "[if (Density > 1.177) and (Density <= 1.565) and (Al2O3 > 0.025) -> 20.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 37.5,\n", - " if (Density <= 1.177) and (Density > 1.14) -> 62.5,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 60.0,\n", - " if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.565) -> 37.5,\n", - " if (Density > 1.177) and (Density <= 1.565) and (Al2O3 <= 0.025) -> 22.5,\n", - " if (Density <= 1.177) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.93) -> 70.0,\n", - " if (Density > 1.177) and (Density <= 1.93) and (Al2O3 <= 0.15) -> 65.0,\n", - " if (Density > 1.177) and (Density <= 1.93) and (Al2O3 > 0.15) -> 50.0,\n", - " if (Density > 1.177) and (Density <= 2.092) and (Al2O3 <= 0.15) -> 50.0,\n", - " if (Density > 1.177) and (Al2O3 <= 0.15) -> 30.0,\n", - " if (Density > 1.177) and (Density <= 1.949) and (Al2O3 > 0.15) -> 30.0,\n", - " if (Density > 1.177) and (Al2O3 > 0.15) -> 22.5]" + "[if (Density > 1.042) and (Density <= 1.118) and (Al2O3 > 0.025) -> 20.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 37.5,\n", + " if (Density <= 1.042) and (Density > 1.033) -> 62.5,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 60.0,\n", + " if (Density > 1.042) and (Density <= 1.069) and (TiO2 > 0.025) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.118) -> 37.5,\n", + " if (Density > 1.042) and (Density <= 1.118) and (Al2O3 <= 0.025) -> 22.5,\n", + " if (Density <= 1.042) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.179) -> 70.0,\n", + " if (Density > 1.042) and (Density <= 1.179) and (Al2O3 <= 0.15) -> 65.0,\n", + " if (Density > 1.042) and (Density <= 1.179) and (Al2O3 > 0.15) -> 50.0,\n", + " if (Density > 1.042) and (Density <= 1.203) and (Al2O3 <= 0.15) -> 50.0,\n", + " if (Density > 1.042) and (Al2O3 <= 0.15) -> 30.0,\n", + " if (Density > 1.042) and (Density <= 1.182) and (Al2O3 > 0.15) -> 30.0,\n", + " if (Density > 1.042) and (Al2O3 > 0.15) -> 22.5]" ] }, - "execution_count": 400, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -278,7 +278,7 @@ }, { "cell_type": "code", - "execution_count": 401, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -314,31 +314,31 @@ " 20\n", " 0.0\n", " 0.0\n", - " 1.274429\n", + " 1.06250\n", " \n", " \n", " 1\n", " 25\n", " 0.0\n", " 0.0\n", - " 1.261477\n", + " 1.05979\n", " \n", " \n", " 2\n", " 35\n", " 0.0\n", " 0.0\n", - " 1.234322\n", + " 1.05404\n", " \n", " \n", "\n", "" ], "text/plain": [ - " T Al2O3 TiO2 Density\n", - "0 20 0.0 0.0 1.274429\n", - "1 25 0.0 0.0 1.261477\n", - "2 35 0.0 0.0 1.234322" + " 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" ] }, "metadata": {}, @@ -377,31 +377,31 @@ " 30\n", " 0.00\n", " 0.0\n", - " 1.248056\n", + " 1.05696\n", " \n", " \n", " 1\n", " 55\n", " 0.00\n", " 0.0\n", - " 1.176984\n", + " 1.04158\n", " \n", " \n", " 2\n", " 25\n", " 0.05\n", " 0.0\n", - " 1.382694\n", + " 1.08438\n", " \n", " \n", "\n", "" ], "text/plain": [ - " T Al2O3 TiO2 Density\n", - "0 30 0.00 0.0 1.248056\n", - "1 55 0.00 0.0 1.176984\n", - "2 25 0.05 0.0 1.382694" + " 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" ] }, "metadata": {}, @@ -444,64 +444,64 @@ " 38.0\n", " 45.526316\n", " 16.513282\n", - " 20.000000\n", - " 31.250000\n", + " 20.00000\n", + " 31.25000\n", " 45.000000\n", " 60.000000\n", - " 70.000000\n", + " 70.0000\n", " \n", " \n", " Al2O3\n", " 38.0\n", " 0.078947\n", " 0.126080\n", - " 0.000000\n", - " 0.000000\n", + " 0.00000\n", + " 0.00000\n", " 0.000000\n", " 0.050000\n", - " 0.300000\n", + " 0.3000\n", " \n", " \n", " TiO2\n", " 38.0\n", " 0.057895\n", " 0.108133\n", - " 0.000000\n", - " 0.000000\n", + " 0.00000\n", + " 0.00000\n", " 0.000000\n", " 0.050000\n", - " 0.300000\n", + " 0.3000\n", " \n", " \n", " Density\n", " 38.0\n", - " 1.535064\n", - " 0.344161\n", - " 1.133485\n", - " 1.251234\n", - " 1.374444\n", - " 1.867887\n", - " 2.205183\n", + " 1.108180\n", + " 0.060772\n", + " 1.03182\n", + " 1.05763\n", + " 1.082755\n", + " 1.169058\n", + " 1.2186\n", " \n", " \n", "\n", "" ], "text/plain": [ - " count mean std min 25% 50% \\\n", - "T 38.0 45.526316 16.513282 20.000000 31.250000 45.000000 \n", - "Al2O3 38.0 0.078947 0.126080 0.000000 0.000000 0.000000 \n", - "TiO2 38.0 0.057895 0.108133 0.000000 0.000000 0.000000 \n", - "Density 38.0 1.535064 0.344161 1.133485 1.251234 1.374444 \n", + " 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 70.000000 \n", - "Al2O3 0.050000 0.300000 \n", - "TiO2 0.050000 0.300000 \n", - "Density 1.867887 2.205183 " + " 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": 401, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -510,8 +510,8 @@ "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\"] = pow(train[\"Density\"], 4)\n", - "test[\"Density\"] = pow(test[\"Density\"], 4)\n", + "train[\"Density\"] = train[\"Density\"]\n", + "test[\"Density\"] = test[\"Density\"]\n", "\n", "display(train.head(3))\n", "display(test.head(3))\n", @@ -520,7 +520,7 @@ }, { "cell_type": "code", - "execution_count": 402, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -535,24 +535,24 @@ { "data": { "text/plain": [ - "[if (Density = 1.371) and (Al2O3 = 0.3) -> 20.0,\n", - " if (Density = 1.242) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 37.5,\n", - " if (Density = 1.158) -> 62.5,\n", - " if (Density = 1.242) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 60.0,\n", - " if (Density = 1.242) and (TiO2 = 0.3) -> 65.0,\n", - " if (Density = 1.371) -> 37.5,\n", - " if (Density = 1.371) and (Al2O3 = 0.0) -> 22.5,\n", - " if (Density = 1.133) -> 70.0,\n", - " if (Density = 1.553) -> 70.0,\n", - " if (Density = 1.553) and (Al2O3 = 0.0) -> 65.0,\n", - " if (Density = 1.553) and (Al2O3 = 0.3) -> 50.0,\n", - " if (Density = 1.635) and (Al2O3 = 0.0) -> 50.0,\n", - " if (Density = 2.205) and (Al2O3 = 0.0) -> 30.0,\n", - " if (Density = 1.563) and (Al2O3 = 0.3) -> 30.0,\n", - " if (Density = 2.205) and (Al2O3 = 0.3) -> 22.5]" + "[if (Density = 1.08) and (Al2O3 = 0.3) -> 20.0,\n", + " if (Density = 1.055) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 37.5,\n", + " if (Density = 1.037) -> 62.5,\n", + " if (Density = 1.055) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 60.0,\n", + " if (Density = 1.055) and (TiO2 = 0.3) -> 65.0,\n", + " if (Density = 1.08) -> 37.5,\n", + " if (Density = 1.08) and (Al2O3 = 0.0) -> 22.5,\n", + " if (Density = 1.032) -> 70.0,\n", + " if (Density = 1.11) -> 70.0,\n", + " if (Density = 1.11) and (Al2O3 = 0.0) -> 65.0,\n", + " if (Density = 1.11) and (Al2O3 = 0.3) -> 50.0,\n", + " if (Density = 1.122) and (Al2O3 = 0.0) -> 50.0,\n", + " if (Density = 1.219) and (Al2O3 = 0.0) -> 30.0,\n", + " if (Density = 1.112) and (Al2O3 = 0.3) -> 30.0,\n", + " if (Density = 1.219) and (Al2O3 = 0.3) -> 22.5]" ] }, - "execution_count": 402, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -567,20 +567,12 @@ }, { "cell_type": "code", - "execution_count": 403, + "execution_count": 64, "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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", 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", 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", 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", 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", 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", 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", 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", "text/plain": [ "
" ] @@ -624,10 +616,11 @@ "from skfuzzy import control as ctrl\n", "import skfuzzy as fuzz\n", "\n", - "al = ctrl.Antecedent(np.arange(0, 0.3, 0.005), \"al\")\n", - "ti = ctrl.Antecedent(np.arange(0, 0.3, 0.005), \"ti\")\n", - "density = ctrl.Antecedent(np.arange(1.13, 2.21, 0.00001), \"density\")\n", - "temp = ctrl.Consequent(train[\"T\"].sort_values().unique(), \"temp\")\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, 0.1), \"temp\")\n", "\n", "al.automf(3, variable_type=\"quant\")\n", "al.view()\n", @@ -635,13 +628,13 @@ "ti.view()\n", "density.automf(5, variable_type=\"quant\")\n", "density.view()\n", - "temp.automf(5, variable_type=\"quant\")\n", + "temp.automf(3, variable_type=\"quant\")\n", "temp.view()" ] }, { "cell_type": "code", - "execution_count": 410, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -656,28 +649,28 @@ { "data": { "text/plain": [ - "[IF density[low] AND al[high] THEN temp[lower]\n", + "[IF density[low] AND al[high] THEN temp[low]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (density[lower] AND ti[low]) AND al[low] THEN temp[low]\n", + " IF (density[low] AND ti[low]) AND al[low] THEN temp[average]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (density[low] 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[high] THEN temp[high]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF density[low] THEN temp[average]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", " IF density[lower] THEN temp[high]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF (density[lower] AND ti[low]) AND al[high] THEN temp[high]\n", + " IF density[average] THEN temp[high]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF density[lower] AND ti[high] THEN temp[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF density[low] AND al[low] THEN temp[lower]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF density[average] THEN temp[higher]\n", - " \tAND aggregation function : fmin\n", - " \tOR aggregation function : fmax,\n", - " IF density[average] AND al[low] THEN temp[higher]\n", + " IF density[average] AND al[low] THEN temp[high]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", " IF density[average] AND al[high] THEN temp[average]\n", @@ -686,12 +679,12 @@ " IF density[higher] AND al[low] THEN temp[low]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax,\n", - " IF density[higher] AND al[high] THEN temp[lower]\n", + " IF density[higher] AND al[high] THEN temp[low]\n", " \tAND aggregation function : fmin\n", " \tOR aggregation function : fmax]" ] }, - "execution_count": 410, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -713,7 +706,7 @@ }, { "cell_type": "code", - "execution_count": 411, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -723,9 +716,9 @@ "=============\n", " Antecedents \n", "=============\n", - "Antecedent: density = 1.247779461633941\n", - " - lower : 0.5637757326154149\n", - " - low : 0.4362242673845851\n", + "Antecedent: density = 1.0569013636039\n", + " - lower : 0.43065897134597164\n", + " - low : 0.5693410286540264\n", " - average : 0.0\n", " - high : 0.0\n", " - higher : 0.0\n", @@ -742,80 +735,79 @@ " Rules \n", "=======\n", "RULE #0:\n", - " IF density[low] AND al[high] THEN temp[lower]\n", + " IF density[low] AND al[high] THEN temp[low]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - density[low] : 0.4362242673845851\n", + " - density[low] : 0.5693410286540264\n", " - al[high] : 0.0\n", " density[low] AND al[high] = 0.0\n", " Activation (THEN-clause):\n", - " temp[lower] : 0.0\n", + " temp[low] : 0.0\n", "\n", "RULE #1:\n", - " IF (density[lower] AND ti[low]) AND al[low] THEN temp[low]\n", + " IF (density[low] AND ti[low]) AND al[low] THEN temp[average]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - density[lower] : 0.5637757326154149\n", + " - density[low] : 0.5693410286540264\n", " - ti[low] : 1.0\n", " - al[low] : 1.0\n", - " (density[lower] AND ti[low]) AND al[low] = 0.5637757326154149\n", + " (density[low] AND ti[low]) AND al[low] = 0.5693410286540264\n", " Activation (THEN-clause):\n", - " temp[low] : 0.5637757326154149\n", + " temp[average] : 0.5693410286540264\n", "\n", "RULE #2:\n", + " IF (density[low] 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[low] : 0.5693410286540264\n", + " - ti[low] : 1.0\n", + " - al[high] : 0.0\n", + " (density[low] 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[high] THEN temp[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - density[low] : 0.5693410286540264\n", + " - ti[high] : 0.0\n", + " density[low] AND ti[high] = 0.0\n", + " Activation (THEN-clause):\n", + " temp[high] : 0.0\n", + "\n", + "RULE #4:\n", + " IF density[low] THEN temp[average]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - density[low] : 0.5693410286540264\n", + " density[low] = 0.5693410286540264\n", + " Activation (THEN-clause):\n", + " temp[average] : 0.5693410286540264\n", + "\n", + "RULE #5:\n", " IF density[lower] THEN temp[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", " Aggregation (IF-clause):\n", - " - density[lower] : 0.5637757326154149\n", - " density[lower] = 0.5637757326154149\n", + " - density[lower] : 0.43065897134597164\n", + " density[lower] = 0.43065897134597164\n", " Activation (THEN-clause):\n", - " temp[high] : 0.5637757326154149\n", - "\n", - "RULE #3:\n", - " IF (density[lower] 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[lower] : 0.5637757326154149\n", - " - ti[low] : 1.0\n", - " - al[high] : 0.0\n", - " (density[lower] AND ti[low]) AND al[high] = 0.0\n", - " Activation (THEN-clause):\n", - " temp[high] : 0.0\n", - "\n", - "RULE #4:\n", - " IF density[lower] AND ti[high] THEN temp[higher]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - density[lower] : 0.5637757326154149\n", - " - ti[high] : 0.0\n", - " density[lower] AND ti[high] = 0.0\n", - " Activation (THEN-clause):\n", - " temp[higher] : 0.0\n", - "\n", - "RULE #5:\n", - " IF density[low] AND al[low] THEN temp[lower]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - density[low] : 0.4362242673845851\n", - " - al[low] : 1.0\n", - " density[low] AND al[low] = 0.4362242673845851\n", - " Activation (THEN-clause):\n", - " temp[lower] : 0.4362242673845851\n", + " temp[high] : 0.43065897134597164\n", "\n", "RULE #6:\n", - " IF density[average] THEN temp[higher]\n", + " IF density[average] THEN temp[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", @@ -823,10 +815,10 @@ " - density[average] : 0.0\n", " density[average] = 0.0\n", " Activation (THEN-clause):\n", - " temp[higher] : 0.0\n", + " temp[high] : 0.0\n", "\n", "RULE #7:\n", - " IF density[average] AND al[low] THEN temp[higher]\n", + " IF density[average] AND al[low] THEN temp[high]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", @@ -835,7 +827,7 @@ " - al[low] : 1.0\n", " density[average] AND al[low] = 0.0\n", " Activation (THEN-clause):\n", - " temp[higher] : 0.0\n", + " temp[high] : 0.0\n", "\n", "RULE #8:\n", " IF density[average] AND al[high] THEN temp[average]\n", @@ -862,7 +854,7 @@ " temp[low] : 0.0\n", "\n", "RULE #10:\n", - " IF density[higher] AND al[high] THEN temp[lower]\n", + " IF density[higher] AND al[high] THEN temp[low]\n", "\tAND aggregation function : fmin\n", "\tOR aggregation function : fmax\n", "\n", @@ -871,46 +863,34 @@ " - al[high] : 0.0\n", " density[higher] AND al[high] = 0.0\n", " Activation (THEN-clause):\n", - " temp[lower] : 0.0\n", + " temp[low] : 0.0\n", "\n", "\n", "==============================\n", " Intermediaries and Conquests \n", "==============================\n", - "Consequent: temp = 43.68948509302114\n", - " lower:\n", - " Accumulate using accumulation_max : 0.4362242673845851\n", + "Consequent: temp = 47.13412979960593\n", " low:\n", - " Accumulate using accumulation_max : 0.5637757326154149\n", + " Accumulate using accumulation_max : 0.0\n", " average:\n", - " Accumulate using accumulation_max : 0.0\n", + " Accumulate using accumulation_max : 0.5693410286540264\n", " high:\n", - " Accumulate using accumulation_max : 0.5637757326154149\n", - " higher:\n", - " Accumulate using accumulation_max : 0.0\n", + " Accumulate using accumulation_max : 0.43065897134597164\n", "\n" ] }, { "data": { "text/plain": [ - "np.float64(43.68948509302114)" + "np.float64(47.13412979960593)" ] }, "metadata": {}, "output_type": "display_data" }, - { - "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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", 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", "text/plain": [ "
" ] @@ -922,7 +902,7 @@ "source": [ "sim.input[\"al\"] = 0.0\n", "sim.input[\"ti\"] = 0.0\n", - "sim.input[\"density\"] = pow(1.0569013636039, 4)\n", + "sim.input[\"density\"] = 1.0569013636039\n", "sim.compute()\n", "sim.print_state()\n", "display(sim.output[\"temp\"])\n", @@ -931,7 +911,7 @@ }, { "cell_type": "code", - "execution_count": 412, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -970,175 +950,175 @@ " 20\n", " 0.00\n", " 0.0\n", - " 1.274429\n", + " 1.06250\n", " 20\n", - " 42.835502\n", - " 22.836\n", + " 46.094987\n", + " 26.095\n", " \n", " \n", " 1\n", " 25\n", " 0.00\n", " 0.0\n", - " 1.261477\n", + " 1.05979\n", " 25\n", - " 43.331606\n", - " 18.332\n", + " 46.553081\n", + " 21.553\n", " \n", " \n", " 2\n", " 35\n", " 0.00\n", " 0.0\n", - " 1.234322\n", + " 1.05404\n", " 35\n", - " 43.986276\n", - " 8.986\n", + " 47.812656\n", + " 12.813\n", " \n", " \n", " 3\n", " 40\n", " 0.00\n", " 0.0\n", - " 1.220283\n", + " 1.05103\n", " 40\n", - " 44.153422\n", - " 4.153\n", + " 48.650748\n", + " 8.651\n", " \n", " \n", " 4\n", " 45\n", " 0.00\n", " 0.0\n", - " 1.205995\n", + " 1.04794\n", " 45\n", - " 44.307892\n", - " 0.692\n", + " 49.664863\n", + " 4.665\n", " \n", " \n", " 5\n", " 50\n", " 0.00\n", " 0.0\n", - " 1.191469\n", + " 1.04477\n", " 50\n", - " 44.452879\n", - " 5.547\n", + " 50.899825\n", + " 0.900\n", " \n", " \n", " 6\n", " 60\n", " 0.00\n", " 0.0\n", - " 1.162049\n", + " 1.03826\n", " 60\n", - " 44.715013\n", - " 15.285\n", + " 54.286981\n", + " 5.713\n", " \n", " \n", " 7\n", " 65\n", " 0.00\n", " 0.0\n", - " 1.146814\n", + " 1.03484\n", " 65\n", - " 44.849617\n", - " 20.150\n", + " 56.744067\n", + " 8.256\n", " \n", " \n", " 8\n", " 70\n", " 0.00\n", " 0.0\n", - " 1.133485\n", + " 1.03182\n", " 70\n", - " 44.968670\n", - " 25.031\n", + " 59.521802\n", + " 10.478\n", " \n", " \n", " 9\n", " 20\n", " 0.05\n", " 0.0\n", - " 1.398933\n", + " 1.08755\n", " 20\n", - " 25.524792\n", - " 5.525\n", + " 45.513146\n", + " 25.513\n", " \n", " \n", " 10\n", " 45\n", " 0.05\n", " 0.0\n", - " 1.315949\n", + " 1.07105\n", " 45\n", - " 40.896200\n", - " 4.104\n", + " 45.157215\n", + " 0.157\n", " \n", " \n", " 11\n", " 50\n", " 0.05\n", " 0.0\n", - " 1.299075\n", + " 1.06760\n", " 50\n", - " 41.694263\n", - " 8.306\n", + " 45.445257\n", + " 4.555\n", " \n", " \n", " 12\n", " 55\n", " 0.05\n", " 0.0\n", - " 1.282075\n", + " 1.06409\n", " 55\n", - " 42.495068\n", - " 12.505\n", + " 45.863334\n", + " 9.137\n", " \n", " \n", " 13\n", " 65\n", " 0.05\n", " 0.0\n", - " 1.247820\n", + " 1.05691\n", " 65\n", - " 43.688436\n", - " 21.312\n", + " 47.132241\n", + " 17.868\n", " \n", " \n", " 14\n", " 70\n", " 0.05\n", " 0.0\n", - " 1.229037\n", + " 1.05291\n", " 70\n", - " 44.051266\n", - " 25.949\n", + " 48.111432\n", + " 21.889\n", " \n", " \n", "\n", "" ], "text/plain": [ - " T Al2O3 TiO2 Density Real Inferred RMSE\n", - "0 20 0.00 0.0 1.274429 20 42.835502 22.836\n", - "1 25 0.00 0.0 1.261477 25 43.331606 18.332\n", - "2 35 0.00 0.0 1.234322 35 43.986276 8.986\n", - "3 40 0.00 0.0 1.220283 40 44.153422 4.153\n", - "4 45 0.00 0.0 1.205995 45 44.307892 0.692\n", - "5 50 0.00 0.0 1.191469 50 44.452879 5.547\n", - "6 60 0.00 0.0 1.162049 60 44.715013 15.285\n", - "7 65 0.00 0.0 1.146814 65 44.849617 20.150\n", - "8 70 0.00 0.0 1.133485 70 44.968670 25.031\n", - "9 20 0.05 0.0 1.398933 20 25.524792 5.525\n", - "10 45 0.05 0.0 1.315949 45 40.896200 4.104\n", - "11 50 0.05 0.0 1.299075 50 41.694263 8.306\n", - "12 55 0.05 0.0 1.282075 55 42.495068 12.505\n", - "13 65 0.05 0.0 1.247820 65 43.688436 21.312\n", - "14 70 0.05 0.0 1.229037 70 44.051266 25.949" + " T Al2O3 TiO2 Density Real Inferred RMSE\n", + "0 20 0.00 0.0 1.06250 20 46.094987 26.095\n", + "1 25 0.00 0.0 1.05979 25 46.553081 21.553\n", + "2 35 0.00 0.0 1.05404 35 47.812656 12.813\n", + "3 40 0.00 0.0 1.05103 40 48.650748 8.651\n", + "4 45 0.00 0.0 1.04794 45 49.664863 4.665\n", + "5 50 0.00 0.0 1.04477 50 50.899825 0.900\n", + "6 60 0.00 0.0 1.03826 60 54.286981 5.713\n", + "7 65 0.00 0.0 1.03484 65 56.744067 8.256\n", + "8 70 0.00 0.0 1.03182 70 59.521802 10.478\n", + "9 20 0.05 0.0 1.08755 20 45.513146 25.513\n", + "10 45 0.05 0.0 1.07105 45 45.157215 0.157\n", + "11 50 0.05 0.0 1.06760 50 45.445257 4.555\n", + "12 55 0.05 0.0 1.06409 55 45.863334 9.137\n", + "13 65 0.05 0.0 1.05691 65 47.132241 17.868\n", + "14 70 0.05 0.0 1.05291 70 48.111432 21.889" ] }, - "execution_count": 412, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -1170,7 +1150,7 @@ }, { "cell_type": "code", - "execution_count": 413, + "execution_count": 68, "metadata": {}, "outputs": [ { @@ -1209,197 +1189,197 @@ " 30\n", " 0.00\n", " 0.00\n", - " 1.248056\n", + " 1.05696\n", " 30\n", - " 43.682360\n", - " 13.682\n", + " 47.121319\n", + " 17.121\n", " \n", " \n", " 1\n", " 55\n", " 0.00\n", " 0.00\n", - " 1.176984\n", + " 1.04158\n", " 55\n", - " 44.584574\n", - " 10.415\n", + " 52.390781\n", + " 2.609\n", " \n", " \n", " 2\n", " 25\n", " 0.05\n", " 0.00\n", - " 1.382694\n", + " 1.08438\n", " 25\n", - " 32.410898\n", - " 7.411\n", + " 45.222921\n", + " 20.223\n", " \n", " \n", " 3\n", " 30\n", " 0.05\n", " 0.00\n", - " 1.366141\n", + " 1.08112\n", " 30\n", - " 36.212359\n", - " 6.212\n", + " 45.031722\n", + " 15.032\n", " \n", " \n", " 4\n", " 35\n", " 0.05\n", " 0.00\n", - " 1.349487\n", + " 1.07781\n", " 35\n", - " 38.572188\n", - " 3.572\n", + " 44.952086\n", + " 9.952\n", " \n", " \n", " 5\n", " 40\n", " 0.05\n", " 0.00\n", - " 1.332788\n", + " 1.07446\n", " 40\n", - " 39.981475\n", - " 0.019\n", + " 44.992751\n", + " 4.993\n", " \n", " \n", " 6\n", " 60\n", " 0.05\n", " 0.00\n", - " 1.265004\n", + " 1.06053\n", " 60\n", - " 43.236968\n", - " 16.763\n", + " 46.419899\n", + " 13.580\n", " \n", " \n", " 7\n", " 35\n", " 0.30\n", " 0.00\n", - " 1.903466\n", + " 1.17459\n", " 35\n", - " 50.833080\n", - " 15.833\n", + " 32.104404\n", + " 2.896\n", " \n", " \n", " 8\n", " 65\n", " 0.30\n", " 0.00\n", - " 1.737597\n", + " 1.14812\n", " 65\n", - " 51.763969\n", - " 13.236\n", + " 47.920831\n", + " 17.079\n", " \n", " \n", " 9\n", " 45\n", " 0.00\n", " 0.05\n", - " 1.331697\n", + " 1.07424\n", " 45\n", - " 39.657149\n", - " 5.343\n", + " 44.999669\n", + " 0.000\n", " \n", " \n", " 10\n", " 50\n", " 0.00\n", " 0.05\n", - " 1.314475\n", + " 1.07075\n", " 50\n", - " 40.856200\n", - " 9.144\n", + " 45.177446\n", + " 4.823\n", " \n", " \n", " 11\n", " 55\n", " 0.00\n", " 0.05\n", - " 1.297178\n", + " 1.06721\n", " 55\n", - " 41.786269\n", - " 13.214\n", + " 45.485450\n", + " 9.515\n", " \n", " \n", " 12\n", " 20\n", " 0.00\n", " 0.30\n", - " 2.245779\n", + " 1.22417\n", " 20\n", - " 32.500000\n", - " 12.500\n", + " 28.316733\n", + " 8.317\n", " \n", " \n", " 13\n", " 30\n", " 0.00\n", " 0.30\n", - " 2.165641\n", + " 1.21310\n", " 30\n", - " 32.500000\n", - " 2.500\n", + " 28.432013\n", + " 1.568\n", " \n", " \n", " 14\n", " 40\n", " 0.00\n", " 0.30\n", - " 2.091978\n", + " 1.20265\n", " 40\n", - " 32.500000\n", - " 7.500\n", + " 29.056559\n", + " 10.943\n", " \n", " \n", " 15\n", " 60\n", " 0.00\n", " 0.30\n", - " 1.956253\n", + " 1.18265\n", " 60\n", - " 32.500000\n", - " 27.500\n", + " 31.098758\n", + " 28.901\n", " \n", " \n", " 16\n", " 70\n", " 0.00\n", " 0.30\n", - " 1.890664\n", + " 1.17261\n", " 70\n", - " 63.573515\n", - " 6.426\n", + " 32.363220\n", + " 37.637\n", " \n", " \n", "\n", "" ], "text/plain": [ - " T Al2O3 TiO2 Density Real Inferred RMSE\n", - "0 30 0.00 0.00 1.248056 30 43.682360 13.682\n", - "1 55 0.00 0.00 1.176984 55 44.584574 10.415\n", - "2 25 0.05 0.00 1.382694 25 32.410898 7.411\n", - "3 30 0.05 0.00 1.366141 30 36.212359 6.212\n", - "4 35 0.05 0.00 1.349487 35 38.572188 3.572\n", - "5 40 0.05 0.00 1.332788 40 39.981475 0.019\n", - "6 60 0.05 0.00 1.265004 60 43.236968 16.763\n", - "7 35 0.30 0.00 1.903466 35 50.833080 15.833\n", - "8 65 0.30 0.00 1.737597 65 51.763969 13.236\n", - "9 45 0.00 0.05 1.331697 45 39.657149 5.343\n", - "10 50 0.00 0.05 1.314475 50 40.856200 9.144\n", - "11 55 0.00 0.05 1.297178 55 41.786269 13.214\n", - "12 20 0.00 0.30 2.245779 20 32.500000 12.500\n", - "13 30 0.00 0.30 2.165641 30 32.500000 2.500\n", - "14 40 0.00 0.30 2.091978 40 32.500000 7.500\n", - "15 60 0.00 0.30 1.956253 60 32.500000 27.500\n", - "16 70 0.00 0.30 1.890664 70 63.573515 6.426" + " T Al2O3 TiO2 Density Real Inferred RMSE\n", + "0 30 0.00 0.00 1.05696 30 47.121319 17.121\n", + "1 55 0.00 0.00 1.04158 55 52.390781 2.609\n", + "2 25 0.05 0.00 1.08438 25 45.222921 20.223\n", + "3 30 0.05 0.00 1.08112 30 45.031722 15.032\n", + "4 35 0.05 0.00 1.07781 35 44.952086 9.952\n", + "5 40 0.05 0.00 1.07446 40 44.992751 4.993\n", + "6 60 0.05 0.00 1.06053 60 46.419899 13.580\n", + "7 35 0.30 0.00 1.17459 35 32.104404 2.896\n", + "8 65 0.30 0.00 1.14812 65 47.920831 17.079\n", + "9 45 0.00 0.05 1.07424 45 44.999669 0.000\n", + "10 50 0.00 0.05 1.07075 50 45.177446 4.823\n", + "11 55 0.00 0.05 1.06721 55 45.485450 9.515\n", + "12 20 0.00 0.30 1.22417 20 28.316733 8.317\n", + "13 30 0.00 0.30 1.21310 30 28.432013 1.568\n", + "14 40 0.00 0.30 1.20265 40 29.056559 10.943\n", + "15 60 0.00 0.30 1.18265 60 31.098758 28.901\n", + "16 70 0.00 0.30 1.17261 70 32.363220 37.637" ] }, - "execution_count": 413, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -1415,19 +1395,19 @@ }, { "cell_type": "code", - "execution_count": 414, + "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'RMSE_train': 13.83186033639128,\n", - " 'RMSE_test': 11.911189650488444,\n", - " 'RMAE_test': 3.174074819493516,\n", - " 'R2_test': 0.3349182345631472}" + "{'RMSE_train': 15.354573113986062,\n", + " 'RMSE_test': 15.530460096876435,\n", + " 'RMAE_test': 3.4741778705724395,\n", + " 'R2_test': -0.13066358713988602}" ] }, - "execution_count": 414, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } diff --git a/temp_density_tree1.ipynb b/temp_density_tree1.ipynb new file mode 100644 index 0000000..6175c49 --- /dev/null +++ b/temp_density_tree1.ipynb @@ -0,0 +1,1275 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "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": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "8" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "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": 21, + "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": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "8" + ] + }, + "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) -> 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": 22, + "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": 23, + "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": 23, + "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": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countmeanstdmin25%50%75%max
T38.045.52631616.51328220.0000031.2500045.00000060.00000070.0000
Al2O338.00.0789470.1260800.000000.000000.0000000.0500000.3000
TiO238.00.0578950.1081330.000000.000000.0000000.0500000.3000
Density38.01.1081800.0607721.031821.057631.0827551.1690581.2186
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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": 24, + "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": 25, + "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": 25, + "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": 126, + "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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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "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(3, variable_type=\"quant\")\n", + "temp.view()" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "[IF density[high] THEN temp[low]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (density[average] AND ti[low]) AND al[low] THEN temp[average]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF (density[average] AND ti[low]) AND al[high] THEN temp[average]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF density[low] AND ti[average] THEN temp[average]\n", + " \tAND aggregation function : fmin\n", + " \tOR aggregation function : fmax,\n", + " IF density[low] AND ti[high] THEN temp[high]\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": 127, + "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": 128, + "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[low]\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[low] : 0.0\n", + "\n", + "RULE #1:\n", + " IF (density[average] AND ti[low]) AND al[low] THEN temp[average]\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[average] : 0.27513227513230565\n", + "\n", + "RULE #2:\n", + " IF (density[average] AND ti[low]) AND al[high] THEN temp[average]\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[average] : 0.0\n", + "\n", + "RULE #3:\n", + " IF density[low] AND ti[average] 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[average] : 0.0\n", + " density[low] AND ti[average] = 0.0\n", + " Activation (THEN-clause):\n", + " temp[average] : 0.0\n", + "\n", + "RULE #4:\n", + " IF density[low] AND ti[high] 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[high] : 0.0\n", + " density[low] AND ti[high] = 0.0\n", + " Activation (THEN-clause):\n", + " temp[high] : 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 = 44.500000000000014\n", + " low:\n", + " Accumulate using accumulation_max : 0.0\n", + " average:\n", + " Accumulate using accumulation_max : 0.7248677248676944\n", + " high:\n", + " Accumulate using accumulation_max : 0.0\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "np.float64(44.500000000000014)" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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TAl2O3TiO2DensityRealInferredRMSE
0200.000.01.062502044.524.5
1250.000.01.059792544.519.5
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3400.000.01.051034044.54.5
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" + ], + "text/plain": [ + " T Al2O3 TiO2 Density Real Inferred RMSE\n", + "0 20 0.00 0.0 1.06250 20 44.5 24.5\n", + "1 25 0.00 0.0 1.05979 25 44.5 19.5\n", + "2 35 0.00 0.0 1.05404 35 44.5 9.5\n", + "3 40 0.00 0.0 1.05103 40 44.5 4.5\n", + "4 45 0.00 0.0 1.04794 45 44.5 0.5\n", + "5 50 0.00 0.0 1.04477 50 44.5 5.5\n", + "6 60 0.00 0.0 1.03826 60 44.5 15.5\n", + "7 65 0.00 0.0 1.03484 65 44.5 20.5\n", + "8 70 0.00 0.0 1.03182 70 44.5 25.5\n", + "9 20 0.05 0.0 1.08755 20 44.5 24.5\n", + "10 45 0.05 0.0 1.07105 45 44.5 0.5\n", + "11 50 0.05 0.0 1.06760 50 44.5 5.5\n", + "12 55 0.05 0.0 1.06409 55 44.5 10.5\n", + "13 65 0.05 0.0 1.05691 65 44.5 20.5\n", + "14 70 0.05 0.0 1.05291 70 44.5 25.5" + ] + }, + "execution_count": 129, + "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": 130, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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TAl2O3TiO2DensityRealInferredRMSE
0300.000.001.056963044.50000014.500
1550.000.001.041585544.50000010.500
2250.050.001.084382544.50000019.500
3300.050.001.081123044.50000014.500
4350.050.001.077813544.5000009.500
5400.050.001.074464044.5000004.500
6600.050.001.060536044.50000015.500
7350.300.001.174593541.2031546.203
8650.300.001.148126543.77421821.226
9450.000.051.074244544.5000000.500
10500.000.051.070755044.5000005.500
11550.000.051.067215544.50000010.500
12200.000.301.224172028.1734678.173
13300.000.301.213103028.2034431.797
14400.000.301.202654028.38199411.618
15600.000.301.182656029.04688730.953
16700.000.301.172617029.49492440.505
\n", + "
" + ], + "text/plain": [ + " T Al2O3 TiO2 Density Real Inferred RMSE\n", + "0 30 0.00 0.00 1.05696 30 44.500000 14.500\n", + "1 55 0.00 0.00 1.04158 55 44.500000 10.500\n", + "2 25 0.05 0.00 1.08438 25 44.500000 19.500\n", + "3 30 0.05 0.00 1.08112 30 44.500000 14.500\n", + "4 35 0.05 0.00 1.07781 35 44.500000 9.500\n", + "5 40 0.05 0.00 1.07446 40 44.500000 4.500\n", + "6 60 0.05 0.00 1.06053 60 44.500000 15.500\n", + "7 35 0.30 0.00 1.17459 35 41.203154 6.203\n", + "8 65 0.30 0.00 1.14812 65 43.774218 21.226\n", + "9 45 0.00 0.05 1.07424 45 44.500000 0.500\n", + "10 50 0.00 0.05 1.07075 50 44.500000 5.500\n", + "11 55 0.00 0.05 1.06721 55 44.500000 10.500\n", + "12 20 0.00 0.30 1.22417 20 28.173467 8.173\n", + "13 30 0.00 0.30 1.21310 30 28.203443 1.797\n", + "14 40 0.00 0.30 1.20265 40 28.381994 11.618\n", + "15 60 0.00 0.30 1.18265 60 29.046887 30.953\n", + "16 70 0.00 0.30 1.17261 70 29.494924 40.505" + ] + }, + "execution_count": 130, + "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": 131, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'RMSE_train': 17.346274819328222,\n", + " 'RMSE_test': 16.61905460694073,\n", + " 'RMAE_test': 3.6418737424931766,\n", + " 'R2_test': -0.2947245753808614}" + ] + }, + "execution_count": 131, + "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 +}