ToolPythonBeginner
Classification with scikit-learn: telling two populations apart
- tree = DecisionTreeClassifier(random_state=0)
- model = DecisionTreeClassifier(max_depth=d, random_state=0)
- tree3 = DecisionTreeClassifier(max_depth=3, random_state=0).fit(X_train, y_train)
- test_acc = [DecisionTreeClassifier(max_depth=d, random_state=0).fit(X_train, y_train).score(X_test, y_test)
- tree_acc.append(DecisionTreeClassifier(random_state=0).fit(Xa, ya).score(Xb, yb))