Machine Learning, Scikit Learn, Python, Supervised Learning, Data Science.
= DecisionTreeClassifier( ) model.fit(X, y) model.score(X, y) model.predict(X) To develop a Support Vector Machine, we use: model = SVC( ) model.fit(X, y) model.score(X, y) model.predict(X) To develop a Random Forest model, we use: model = RandomForestClassifier( ) model.fit(X, y) model.score(X, y)