classification notebooks

Classification/1-Data/README.md

@@ -1,6 +1,4 @@
-# [Lesson Topic]
+# Introduction to Classification
-
-Add a sketchnote if possible/appropriate
 
 [![Introduction to Classification](https://img.youtube.com/vi/eg8DJYwdMyg/0.jpg)](https://youtu.be/eg8DJYwdMyg "Introduction to Classification")
 > MIT's John Guttag introduces Classification

Classification/1-Data/solution/notebook.ipynb

@@ -756,17 +756,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
      "output_type": "stream",
+     "name": "stdout",
      "text": [
-      "Accuracy (train) for L1 logistic: 80.7% \n",
+      "Accuracy (train) for L1 logistic: 78.0% \n",
-      "Accuracy (train) for L2 logistic (Multinomial): 80.9% \n",
+      "Accuracy (train) for L2 logistic (Multinomial): 78.7% \n",
-      "Accuracy (train) for L2 logistic (OvR): 80.7% \n",
+      "Accuracy (train) for L2 logistic (OvR): 79.6% \n",
-      "Accuracy (train) for Linear SVC: 79.9% \n"
+      "Accuracy (train) for Linear SVC: 77.4% \n"
      ]
     }
    ],