overfitting decision trees

from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score

# Fit the decision tree model
dt = DecisionTreeClassifier(random_state=42)
dt.fit(X_train, y_train)

# Make predictions
y_train_pred = dt.predict(X_train)
y_test_pred = dt.predict(X_test)

# Calculate Accuracy
train_mse = accuracy_score(y_train, y_train_pred)
test_mse = accuracy_score(y_test, y_test_pred)

print(f"Training accuracy: {train_mse:.2f}")
print(f"Test accuracy: {test_mse:.2f}")