diff --git a/new/random_forest_run.ipynb b/new/random_forest_run.ipynb index 61ac3c3..1edd8dd 100644 --- a/new/random_forest_run.ipynb +++ b/new/random_forest_run.ipynb @@ -2,8 +2,8 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, - "id": "looking-release", + "execution_count": 17, + "id": "superior-consortium", "metadata": {}, "outputs": [], "source": [ @@ -15,13 +15,20 @@ "from sklearn.metrics import r2_score, mean_absolute_error, explained_variance_score, mean_squared_error\n", "from sklearn.model_selection import train_test_split\n", "import autosklearn.regression\n", - "from sklearn.ensemble import RandomForestRegressor" + "from sklearn.ensemble import RandomForestRegressor\n", + "from sklearn.inspection import permutation_importance\n", + "import matplotlib.pyplot as plt\n", + "plt.matplotlib.style.use(\"https://gist.githubusercontent.com/JonnyCBB/c464d302fefce4722fe6cf5f461114ea/raw/64a78942d3f7b4b5054902f2cee84213eaff872f/matplotlibrc\")\n", + "cool_colors = ['#00BEFF', '#D4CA3A', '#FF6DAE', '#67E1B5', '#EBACFA', '#9E9E9E', '#F1988E', '#5DB15A', '#E28544', '#52B8AA']\n", + "cool_colors = ['C0', 'C1', 'C2', 'C3', 'C4', 'C5', 'C6', 'C7']\n", + "\n", + "plt.rcParams.update({'font.size': 14})" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "structured-lemon", + "execution_count": 5, + "id": "developed-broad", "metadata": {}, "outputs": [ { @@ -37,7 +44,7 @@ "69839" ] }, - "execution_count": 2, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -46,14 +53,15 @@ "X = pickle.load(open('inputs_and_outputs.pkl', 'rb'))['X']\n", "print(\"shape of X: \", np.shape(X))\n", "y = pickle.load(open('inputs_and_outputs.pkl', 'rb'))['y']\n", + "features = pickle.load(open('inputs_and_outputs.pkl', 'rb'))['features'] # feature names\n", "nb_data = np.size(y)\n", "nb_data" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "invisible-commodity", + "execution_count": 6, + "id": "personalized-winter", "metadata": {}, "outputs": [], "source": [ @@ -74,18 +82,10 @@ " return np.array(ids_train), np.array(ids_test)" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "ecological-webmaster", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": 4, - "id": "promotional-channels", + "id": "tamil-freight", "metadata": {}, "outputs": [], "source": [ @@ -95,7 +95,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "continental-occasions", + "id": "sized-member", "metadata": {}, "outputs": [], "source": [ @@ -141,7 +141,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "funny-melissa", + "id": "assigned-latin", "metadata": {}, "outputs": [ { @@ -5390,6 +5390,130 @@ " with open('rf_div_results.pkl', 'wb') as file:\n", " pickle.dump(rf_res, file)" ] + }, + { + "cell_type": "markdown", + "id": "oriental-matrix", + "metadata": {}, + "source": [ + "feature importance" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "bound-horror", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# training: 55871\n", + "# test: 13968\n" + ] + } + ], + "source": [ + "def run_permutation_feature_importance():\n", + " ids_train, ids_test = train_test_split(np.arange(nb_data), train_size=0.8)\n", + " print(\"# training: \", len(ids_train))\n", + " print(\"# test: \", len(ids_test))\n", + " \n", + " X_train = X[ids_train, :]\n", + " y_train = y[ids_train]\n", + " \n", + " X_test = X[ids_test, :]\n", + " y_test = y[ids_test]\n", + " \n", + " # train random forest on training data\n", + " rf = RandomForestRegressor()\n", + " rf.fit(X_train, y_train)\n", + " \n", + " return permutation_importance(rf, X_test, y_test)\n", + "\n", + "feature_importances = run_permutation_feature_importance()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "molecular-construction", + "metadata": {}, + "outputs": [], + "source": [ + "feature_to_label = {feature: feature for feature in features}\n", + "feature_to_label[' void fraction [widom]'] = 'void fraction'\n", + "feature_to_label[' density [kg/m^3]'] = 'density [kg/m$^3$]'\n", + "feature_to_label[' largest included sphere diameter [A]'] = 'diameter of largest\\nincluded sphere [$\\AA$]'\n", + "feature_to_label[' largest free sphere diameter [A]'] = 'diameter of largest\\nfree sphere [$\\AA$]'\n", + "feature_to_label[' surface area [m^2/g]'] = 'surface area [m$^2$/g]'" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "charged-interest", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(6.4 * 1.5, 4.8))\n", + "plt.bar([feature_to_label[feature] for feature in features], feature_importances.importances_mean, yerr=feature_importances.importances_std)\n", + "plt.xticks(rotation=90)\n", + "plt.ylabel(\"permutation importance\")\n", + "plt.tight_layout()\n", + "plt.savefig(\"permutation_feature_importance.pdf\", format=\"pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "amended-vietnam", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'deliverable capacity')" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# indeed, density strongly correlated to del cap\n", + "plt.figure()\n", + "plt.scatter(X[:, 1], y, s= 0.2)\n", + "plt.xlabel(\"density [kg/m$^3$]\")\n", + "plt.ylabel(\"deliverable capacity\")" + ] } ], "metadata": {