# Import libraries from sklearn.metrics import accuracy_score from sklearn.tree import DecisionTreeClassifier # define data, split to train & test, create model and fit data X = Variables Y = Classes Model = DecisionTreeClassifier(params).fit(X, Y) # Predict new classes Y_predict = Model.Predict(X_test) # Score model accuracy_score(Y_test, Y_predict)
