cross validation.ipynb

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  {
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   "source": [
    "#Import Library\n",
    "from numpy import array\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import KFold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data sample\n",
    "data = pd.read_csv(\"~/Downloads/Data Science/data set/book.csv\")\n",
    "data = np.asarray(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[1 0 0 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 0]\n",
      " [1 0 1 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 1 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[1 1 1 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " ...\n",
      " [1 1 1 ... 1 1 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [1 0 1 ... 0 0 0]]\n",
      "train: [[1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[0 1 0 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 1]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 0]\n",
      " ...\n",
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      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[1 0 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 1]\n",
      " [0 0 1 ... 0 0 0]\n",
      " ...\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[0 1 0 ... 0 0 0]\n",
      " [1 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 1]\n",
      " ...\n",
      " [1 0 0 ... 0 0 0]\n",
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      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 0]\n",
      " ...\n",
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      " [0 0 0 ... 0 0 0]], test: [[0 0 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 1]\n",
      " [1 1 1 ... 0 0 0]\n",
      " ...\n",
      " [1 1 1 ... 0 1 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 1 0]\n",
      " ...\n",
      " [0 1 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 1 1]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[0 0 1 ... 0 0 0]\n",
      " [0 1 0 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 0]\n",
      " ...\n",
      " [0 0 1 ... 0 0 0]\n",
      " [1 1 1 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]], test: [[0 0 1 ... 0 0 0]\n",
      " [1 0 1 ... 0 0 0]\n",
      " [1 1 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]]\n",
      "train: [[0 1 0 ... 0 0 0]\n",
      " [1 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]], test: [[1 1 1 ... 0 0 0]\n",
      " [0 1 1 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " ...\n",
      " [1 1 1 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]\n",
      " [0 0 0 ... 0 0 0]]\n"
     ]
    }
   ],
   "source": [
    "# prepare cross validation\n",
    "kfold = KFold(11, True, 1)\n",
    "# enumerate splits\n",
    "for train, test in kfold.split(data):\n",
    "    print('train: %s, test: %s' % (data[train], data[test]))"
   ]
  }
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