Train test split 80 train, 20 test X train, X test, y train, y test train test split(X, y, test size 0 2) Build a decision tree model dt DecisionTreeClassifier(random state 1) Fit the tree using X train and y train dt fit(X train, y train) Plot the decision tree

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Train test split 80  train, 20  test X train, X test, y train, y test   train test split(X, y, test size 0 2)  Build a decision tree model dt   DecisionTreeClassifier(random state 1)  Fit the tree using X train and y train dt fit(X train, y train)  Plot the decision tree

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Question: #Train/test split 80% train, 20% test X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2) #Build a decision tree model dt = DecisionTreeClassifier(random_state=1) #Fit the tree

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