Update Lecture_TextMining_3

1. sklearn cross_validation has been deprecated, so switched to sklearn model_Selection
2. was getting a "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT." warning for the LR model, so switched the max iterations to 1500

ipython/python35/Lecture_TextMining_3.ipynb

@@ -31,8 +31,8 @@
     "from sklearn.linear_model import LogisticRegression\n",
     "from sklearn.naive_bayes import BernoulliNB\n",
     "from sklearn import metrics\n",
-    "from sklearn import cross_validation\n",
-    "from sklearn.cross_validation import train_test_split\n",
+    "from sklearn.model_selection import cross_validate\n",
+    "from sklearn.model_selection import train_test_split\n",
     "from sklearn.feature_extraction.text import CountVectorizer\n",
     "from sklearn.feature_extraction.text import TfidfVectorizer\n",
     "\n",
@@ -602,7 +602,7 @@
     "X_test_counts = count_vectorizer.transform(X_test)\n",
     "\n",
     "# Model\n",
-    "model = LogisticRegression()\n",
+    "model = LogisticRegression(max_iter=1500)\n",
     "model.fit(X_train_counts, Y_train)\n",
     "\n",
     "print(\"Area under the ROC curve on the test data = %.3f\" % metrics.roc_auc_score(model.predict(X_test_counts), Y_test))"