{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "fac14368",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier, export_text, plot_tree\n",
    "dataset = pandas.read_csv('/Users/mac/Desktop/tree_dataset.csv', sep=\";\")\n",
    "decisions = [\"decision\"]\n",
    "attributes = [\"season\", \"trash_type\", \"mass\", \"space\", \"trash_mass\"]\n",
    "\n",
    "x = dataset[attributes]\n",
    "y = dataset[decisions]\n",
    "decision_tree = DecisionTreeClassifier()\n",
    "decision_tree.fit(x.values, y.values)\n",
    "decision = decision_tree.predict(\n",
    "        [[5, 3 , 3, 1, 2]])\n",
    "print(decision)"
   ]
  },
  {
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   "outputs": [],
   "source": []
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