Random Forest Complete

vishnoitanuj · Nov 8, 2018 · a1949d5 · a1949d5
1 parent 31ab447
commit a1949d5
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Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/Part 3 - Classification/Section 19 - Decision Tree Classification/decision_tree.py b/Part 3 - Classification/Section 19 - Decision Tree Classification/decision_tree.py
@@ -19,8 +19,8 @@
 X_test = sc.transform(X_test)
 
 # Fitting Random Forest to the Training set
-from sklearn.ensemble import RandomForestClassifier
-classifier = RandomForestClassifier(n_estimators=100, criterion='entropy', random_state=0)
+from sklearn.tree import DecisionTreeClassifier
+classifier = DecisionTreeClassifier(criterion='entropy', random_state=0)
 classifier.fit(X_train, y_train)
 
 # Predicting the Test set results
@@ -44,7 +44,7 @@
 for i, j in enumerate(np.unique(y_set)):
     plt.scatter(X_set[y_set == j, 0], X_set[y_set == j, 1],
                 c = ListedColormap(('red', 'green'))(i), label = j)
-plt.title('Random Forest (Training set)')
+plt.title('Decision Tree (Training set)')
 plt.xlabel('Age')
 plt.ylabel('Estimated Salary')
 plt.legend()
@@ -62,7 +62,7 @@
 for i, j in enumerate(np.unique(y_set)):
     plt.scatter(X_set[y_set == j, 0], X_set[y_set == j, 1],
                 c = ListedColormap(('red', 'green'))(i), label = j)
-plt.title('Random Forest (Test set)')
+plt.title('Decision Tree (Test set)')
 plt.xlabel('Age')
 plt.ylabel('Estimated Salary')
 plt.legend()

diff --git a/Part 3 - Classification/Section 20 - Random Forest Classification/random_forest.py b/Part 3 - Classification/Section 20 - Random Forest Classification/random_forest.py
@@ -19,8 +19,8 @@
 X_test = sc.transform(X_test)
 
 # Fitting Random Forest to the Training set
-from sklearn.tree import DecisionTreeClassifier
-classifier = DecisionTreeClassifier(criterion='entropy', random_state=0)
+from sklearn.ensemble import RandomForestClassifier
+classifier = RandomForestClassifier(n_estimators= 10,criterion='entropy', random_state=0)
 classifier.fit(X_train, y_train)
 
 # Predicting the Test set results