127 lines
2.4 KiB
Plaintext
127 lines
2.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 24,
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"id": "fac14368",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1]\n"
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]
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}
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],
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"source": [
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"from sklearn.tree import DecisionTreeClassifier, export_text, plot_tree\n",
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"dataset = pandas.read_csv('/Users/mac/Desktop/tree_dataset.csv', sep=\";\")\n",
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"decisions = [\"decision\"]\n",
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"attributes = [\"season\", \"trash_type\", \"mass\", \"space\", \"trash_mass\"]\n",
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"\n",
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"x = dataset[attributes]\n",
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"y = dataset[decisions]\n",
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"decision_tree = DecisionTreeClassifier()\n",
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"decision_tree.fit(x.values, y.values)\n",
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"decision = decision_tree.predict(\n",
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" [[5, 3 , 3, 1, 2]])\n",
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"print(decision)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "04bbec40",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9c1d0193",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8e40a924",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b430f8b8",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "58ce5faa",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a4b72d3d",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b4e0aae9",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "74fb263f",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5dbe234e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "env",
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"language": "python",
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"name": "env"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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