Latihan2-Sklearn Train Test Split.ipynb

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      "[0.96666667 0.96666667 0.9        0.96666667 1.        ]\n"
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   "source": [
    "import sklearn\n",
    "from sklearn import tree\n",
    "from sklearn import datasets\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "x = iris.data\n",
    "y = iris.target\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)\n",
    "classifier = tree.DecisionTreeClassifier()\n",
    "score = cross_val_score(classifier, x, y, cv=5)\n",
    "print(score)"
   ]
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   "name": "Latihan2-Sklearn Train Test Split",
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