{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "## prepare env, read and prepare data\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns; sns.set()\n", "\n", "codepath = '.././2_code' ## for import of user defined module\n", "datapath = '../../3_data'\n", "from sys import path; path.insert(1, codepath)\n", "from os import chdir; chdir(datapath)\n", "\n", "from bfh_cas_pml import prep_data\n", "X_train, X_test, y_train, y_test = prep_data('bank_data_prep.csv', target='y', seed=1234)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "100 0.8749619714024947\n", "150 0.8755704289625799\n", "200 0.8755704289625799\n", "250 0.8749619714024947\n", "300 0.8752662001825373\n", "350 0.8773958016428354\n", "400 0.879221174323091\n", "450 0.8773958016428354\n", "best_val = 400\n", "best_score = 0.879221174323091\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\werne\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", " with pd.option_context('mode.use_inf_as_na', True):\n", "C:\\Users\\werne\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", " with pd.option_context('mode.use_inf_as_na', True):\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "## n_estimators\n", "\n", "model = RandomForestClassifier()\n", "scores = []\n", "params = range(100, 500, 50)\n", "\n", "for param in params:\n", " model.set_params(n_estimators=param, random_state=1234)\n", " model.fit(X_train, y_train) \n", " score = model.score(X_test, y_test)\n", " scores.append(score)\n", " print(param, score)\n", " \n", "fig = sns.lineplot(x=params, y=scores)\n", "plt.xlabel('n_estimators')\n", "plt.ylabel('accuracy');\n", "\n", "print('best_val = ', params[scores.index(max(scores))])\n", "print('best_score = ', max(scores))" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 0.8573167021600243\n", "2 0.867964709461515\n", "3 0.871006997261941\n", "4 0.8773958016428354\n", "5 0.8749619714024947\n", "6 0.8780042592029206\n", "7 0.8761788865226651\n", "8 0.8773958016428354\n", "9 0.8773958016428354\n", "10 0.8758746577426224\n", "best_val = 6\n", "best_score = 0.8780042592029206\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\werne\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", " with pd.option_context('mode.use_inf_as_na', True):\n", "C:\\Users\\werne\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", " with pd.option_context('mode.use_inf_as_na', True):\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "## max_features\n", "\n", "model = RandomForestClassifier()\n", "scores = []\n", "params = range(1, 11)\n", "\n", "for param in params:\n", " model.set_params(max_features=param, random_state=1234)\n", " model.fit(X_train, y_train) \n", " score = model.score(X_test, y_test)\n", " scores.append(score)\n", " print(param, score)\n", " \n", "fig = sns.lineplot(x=params, y=scores)\n", "plt.xlabel('max_features')\n", "plt.ylabel('accuracy');\n", "\n", "print('best_val = ', params[scores.index(max(scores))])\n", "print('best_score = ', max(scores))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.0 0.8749619714024947\n", "2e-05 0.8813507757833892\n", "4e-05 0.8819592333434743\n", "6.000000000000001e-05 0.8786127167630058\n", "8e-05 0.8801338606632187\n", "0.0001 0.8801338606632187\n", "0.00012000000000000002 0.879221174323091\n", "0.00014000000000000001 0.8813507757833892\n", "0.00016 0.880742318223304\n", "0.00018 0.880742318223304\n", "best_val = 4e-05\n", "best_score = 0.8819592333434743\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\werne\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", " with pd.option_context('mode.use_inf_as_na', True):\n", "C:\\Users\\werne\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", " with pd.option_context('mode.use_inf_as_na', True):\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "## min_impurity_decrease\n", "\n", "model = RandomForestClassifier()\n", "scores = []\n", "params = np.arange(0, 0.0002, 0.00002)\n", "\n", "for param in params:\n", " model.set_params(min_impurity_decrease=param, random_state=1234)\n", " model.fit(X_train, y_train) \n", " score = model.score(X_test, y_test)\n", " scores.append(score)\n", " print(param, score)\n", "\n", "fig = sns.lineplot(x=params, y=scores)\n", "plt.xlabel('min_impurity_decrease')\n", "plt.ylabel('accuracy');\n", "\n", "print('best_val = ', params[scores.index(max(scores))])\n", "print('best_score = ', max(scores))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Fazit:**\n", "* n_estimator: Maximum bei 400, allerdings sind auch die Ergebnisse anderer Parameterwerte sehr nahe beieinander\n", " * Einfluss von random_state? (Rauschen)\n", "* max_features: aufsteigend bis ca. 6, danach ev. Rauschen\n", "* min_impurity_decrease: 0.00004, aber auch hier Einfluss von random_state" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "keine Tuning Parameter sind hier:\n", "* oob_score\n", "* n_jobs\n", "* random_state\n", "* verbose\n", "* warm_start\n", "* andere?" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.7" }, "toc": { "base_numbering": "2.2", "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "WS 09 Klassifikation - RandomForestClassifier - solution", "title_sidebar": "Contents", "toc_cell": false, "toc_position": { "height": "calc(100% - 180px)", "left": "10px", "top": "150px", "width": "205.2px" }, "toc_section_display": true, "toc_window_display": true }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }