From ad85ba9dc5f05f7306ec0efbb3e102a500a5ac71 Mon Sep 17 00:00:00 2001
From: Mateo Miranda <mateomirandah@gmail.com>
Date: Wed, 8 Nov 2023 01:21:29 -0500
Subject: [PATCH] Deprecation of cross-validation: Replaced by
 sklearn.model_selection.

---
 Natural Language Processing.ipynb | 20 ++++++--------------
 1 file changed, 6 insertions(+), 14 deletions(-)

diff --git a/Natural Language Processing.ipynb b/Natural Language Processing.ipynb
index e5d1829..b51875c 100644
--- a/Natural Language Processing.ipynb	
+++ b/Natural Language Processing.ipynb	
@@ -35,12 +35,12 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
       "[nltk_data] Downloading package stopwords to\n",
-      "[nltk_data]     C:\\Users\\Student\\AppData\\Roaming\\nltk_data...\n",
-      "[nltk_data]   Package stopwords is already up-to-date!\n"
+      "[nltk_data]     C:\\Users\\Mateo\\AppData\\Roaming\\nltk_data...\n",
+      "[nltk_data]   Unzipping corpora\\stopwords.zip.\n"
      ]
     }
    ],
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -109,18 +109,10 @@
       "[[55 42]\n",
       " [12 91]]\n"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Student\\Anaconda3\\lib\\site-packages\\sklearn\\cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
-      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
-     ]
     }
    ],
    "source": [
-    "from sklearn.cross_validation import train_test_split\n",
+    "from sklearn.model_selection import train_test_split\n",
     "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.20, random_state = 0)\n",
     "\n",
     "# Fitting Naive Bayes to the Training set\n",
@@ -175,7 +167,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,