Collaboration

assignment_2/tutorial.ipynb

@@ -2,14 +2,16 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn import svm, datasets\n",
     "import sklearn.model_selection as model_selection\n",
     "from sklearn.metrics import accuracy_score\n",
-    "from sklearn.metrics import f1_score\n"
+    "from sklearn.metrics import f1_score\n",
+    "import pandas as pd\n",
+    "import numpy as np"
    ]
   },
   {
@@ -187,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -390,6 +392,52 @@
     "print('Accuracy(Polynomial Kernel):{:.2f}'.format(poly_accuracy*100))\n",
     "print('F1(Polynomial Kernel):{:.2f}'.format(poly_f1*100))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 200.,  400.,  600.,  800., 1000., 1200., 1400., 1600., 1800.,\n",
+       "       2000.])"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.linspace(start=200,stop=2000,num=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.025, 0.05 , 0.075, 0.1  , 0.125, 0.15 , 0.175, 0.2  , 0.225,\n",
+       "       0.25 , 0.275, 0.3  , 0.325, 0.35 , 0.375, 0.4  , 0.425, 0.45 ,\n",
+       "       0.475, 0.5  , 0.525, 0.55 , 0.575, 0.6  , 0.625, 0.65 , 0.675,\n",
+       "       0.7  , 0.725, 0.75 , 0.775, 0.8  , 0.825, 0.85 , 0.875, 0.9  ,\n",
+       "       0.925, 0.95 , 0.975])"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_size = np.arange(0.025,1,0.025)\n",
+    "train_size"
+   ]
   }
  ],
  "metadata": {