02 Train Test Split.ipynb

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        {
            "metadata": {},
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            "source": "import sklearn\nfrom sklearn import datasets\n\n# load iris dataset\niris = datasets.load_iris()\n\n# pisahkan atribut dan label pada iris dataset\nx = iris.data\ny = iris.target",
            "execution_count": 2,
            "outputs": []
        },
        {
            "metadata": {},
            "cell_type": "code",
            "source": "from sklearn.model_selection import train_test_split\n\n# membagi dataset menjadi training dan testing\nx_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2)\n# print(x_train)\nprint(len(x_test))\nprint(len(y_test))",
            "execution_count": 10,
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                {
                    "output_type": "stream",
                    "text": "30\n30\n",
                    "name": "stdout"
                }
            ]
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