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      "metadata": {
        "_cell_guid": "a91cf701-c82c-5b3e-8023-614510aee4d8"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "from sklearn import svm\n",
        "import numpy as np\n",
        "classifier = svm.SVC(gamma=0.001)\n",
        "dataset = pd.read_csv(\"../input/train.csv\")\n",
        "train_y = np.array(dataset.iloc[:, 0])\n",
        "train_x = np.array(dataset.iloc[:, 1:])\n",
        "classifier.fit(train_x, train_y)\n",
        "\n",
        "test_x = pd.read_csv(\"../input/test.csv\")\n",
        "\n",
        "result = classifier.predict(np.array(test_x))\n",
        "sm = pd.DataFrame({'ImageId': range(1, len(result) + 1), 'Label':result})\n",
        "sm.to_csv('result.csv', index = False)"
      ]
    }
  ],
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