Update tfidf.py

tfidf.py

@@ -7,7 +7,7 @@ X = df['title']
 y = df['labels']
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
 from sklearn.feature_extraction.text import TfidfVectorizer
-tfidf = TfidfVectorizer(max_features=5000, ngram_range=(1, 2), stop_words='english')
+tfidf = TfidfVectorizer(max_features=7000, ngram_range=(1, 3), stop_words='english')
 X_train_tfidf = tfidf.fit_transform(X_train)
 X_test_tfidf = tfidf.transform(X_test)