Model Blend.ipynb

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   "source": [
    "## Blending the 3 Model Based on LB Score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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     "end_time": "2020-10-04T13:51:12.672114Z",
     "start_time": "2020-10-04T13:51:10.878224Z"
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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
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   "execution_count": 2,
   "metadata": {
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     "end_time": "2020-10-04T13:51:12.680112Z",
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   },
   "outputs": [],
   "source": [
    "def file_reader(data):\n",
    "    return pd.read_csv(data)\n",
    "\n",
    "def array (data):\n",
    "    return np.array(data['default_status'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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     "end_time": "2020-10-04T13:51:13.135085Z",
     "start_time": "2020-10-04T13:51:12.683112Z"
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   "outputs": [],
   "source": [
    "vcf = file_reader('vcf_kfold_submission.csv') \n",
    "cat_lgb = file_reader('vcf_cat_lgb_submission.csv')\n",
    "clus = file_reader('cluster_submission.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-10-04T13:51:13.633054Z",
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   "outputs": [],
   "source": [
    "clus_array = array(clus)\n",
    "vcf_array = array(vcf)  \n",
    "cat_lgb_array = array(cat_lgb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-10-04T13:51:35.957689Z",
     "start_time": "2020-10-04T13:51:35.952689Z"
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   },
   "outputs": [],
   "source": [
    "blend = clus_array*0.465 + vcf_array*0.325 + cat_lgb_array*0.210 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating Prediction file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-10-04T13:51:37.665584Z",
     "start_time": "2020-10-04T13:51:37.659584Z"
    }
   },
   "outputs": [],
   "source": [
    "sub = pd.DataFrame({'Applicant_ID':vcf.Applicant_ID, 'default_status':blend})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
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     "end_time": "2020-10-04T13:51:52.236690Z",
     "start_time": "2020-10-04T13:51:52.096699Z"
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   },
   "outputs": [],
   "source": [
    "sub.to_csv('final_submission.csv', index = False)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 11,
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       "       default_status\n",
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       "    Applicant_ID  default_status\n",
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