พัฒนาและทดสอบโมเดลที่ดีที่สุด

# Initialize the best model using parameters provided in description
model_best = DecisionTreeClassifier(____=____, ____=____, ____=____, random_state=42)

# Fit the model using only selected features from training set: done
model_best.fit(____, target_train)

# Make prediction based on selected list of features from test set
prediction_best = model_best.____(____)

# Print the general accuracy of the model_best
print(____.score(features_test_selected, target_test) * 100)

# Print the recall score of the model predictions
print(____(target_test, prediction_best) * 100)

# Print the ROC/AUC score of the model predictions
print(roc_auc_score(target_test, ____) * 100)