Improved SVM.ipynb

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   "source": [
    "#import packages\n",
    "import pandas as pd\n",
    "from sklearn import svm\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.svm import LinearSVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7d127362",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import the dataset\n",
    "data = pd.read_csv('spambase.csv', header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0e25a6d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#split the dataset into train set and test set\n",
    "x_train, x_test, y_train, y_test = train_test_split(data.iloc[:, 0:57],data.iloc[:, 57],test_size = .3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9ee22cfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#build a model\n",
    "model = LinearSVC(class_weight='balanced')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cc7cd0e8",
   "metadata": {},
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    {
     "name": "stderr",
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     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LinearSVC(class_weight='balanced')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "model.fit(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dd914635",
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "0.8587979724837075"
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     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "#test the accuracy\n",
    "model.score(x_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e00dd26",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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