{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Decision tree for income prediction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similar to linear models, the library provides several special classes for decision trees, e.g., `TreeClassifier` for classification tasks and `TreeRegressor` for regression tasks. These classes have a special method `explain` for generating both global explanations (the tree structures) and local explanations (the decision paths)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "import sklearn\n", "import numpy as np\n", "import pandas as pd\n", "from omnixai.data.tabular import Tabular\n", "from omnixai.explainers.tabular.specific.decision_tree import TreeClassifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The dataset used in this example is for income prediction (https://archive.ics.uci.edu/ml/datasets/adult). For tree-based models, we use `Tabular` to represent a tabular dataset, which can be constructed from a pandas dataframe or a numpy array. To create a `Tabular` instance given a numpy array, one needs to specify the data, the feature names, the categorical feature names (if exists) and the target/label column name (if exists)." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "feature_names = [\n", " \"Age\", \"Workclass\", \"fnlwgt\", \"Education\",\n", " \"Education-Num\", \"Marital Status\", \"Occupation\",\n", " \"Relationship\", \"Race\", \"Sex\", \"Capital Gain\",\n", " \"Capital Loss\", \"Hours per week\", \"Country\", \"label\"\n", "]\n", "data = np.genfromtxt(os.path.join('../data', 'adult.data'), delimiter=', ', dtype=str)\n", "tabular_data = Tabular(\n", " data,\n", " feature_columns=feature_names,\n", " categorical_columns=[feature_names[i] for i in [1, 3, 5, 6, 7, 8, 9, 13]],\n", " target_column='label'\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To train a tree-based model, the method `fit` is called with the training dataset (a `Tabular` instance)." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Validation accuracy: 0.8446184553968985\n" ] } ], "source": [ "np.random.seed(1)\n", "model = TreeClassifier()\n", "model.fit(tabular_data, max_depth=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The tree-based model has both global explanations and local explanations, which can be generated by calling the method `explain`. For example, calling `explain` with test instances will return the decision paths." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "i = 1653\n", "test_x = tabular_data[i:i + 5]\n", "explanations = model.explain(test_x)\n", "explanations.ipython_plot(index=0)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.5" } }, "nbformat": 4, "nbformat_minor": 2 }