{

 "cells": [

  {

   "cell_type": "markdown",

   "id": "8468ad0d",

   "metadata": {},

   "source": [

    "# Undersampling"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 18,

   "id": "cfc764c8",

   "metadata": {},

   "outputs": [

    {

     "name": "stdout",

     "output_type": "stream",

     "text": [

      "1694\n",

      "Done\n"

     ]

    }

   ],

   "source": [

    "import os\n",

    "import random\n",

    "import shutil\n",

    "\n",

    "source = r\"F:\\Leuk study re-designed\\C-NMC\\High imbalance\\Train - 1 to 102 ratio\\enhanched\\hem\"\n",

    "dest = r\"F:\\Leuk study re-designed\\C-NMC\\High imbalance\\Majority Calss Undersample\\enhanched\\hem\"\n",

    "files = os.listdir(source)\n",

    "\n",

    "percentage = 50 #High Imbalance\n",

    "# percentage = 10 #Low Imbalance\n",

    "\n",

    "no_of_files = int((percentage/100)*len(files))\n",

    "print(no_of_files)\n",

    "# no_of_files = len(files) // 5\n",

    "\n",

    "for file_name in random.sample(files, no_of_files):\n",

    "    shutil.copy(os.path.join(source, file_name), dest)\n",

    "print('Done')"

   ]

  }

 ],

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   "display_name": "leukemia",

   "language": "python",

   "name": "leukemia"

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    "name": "ipython",

    "version": 3

   },

   "file_extension": ".py",

   "mimetype": "text/x-python",

   "name": "python",

   "nbconvert_exporter": "python",

   "pygments_lexer": "ipython3",

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