CatBoost Classifier Model Prediction

This function uses the CatBoost library to train a classifier model and uses it to predict labels for the test data set.

Technology Stack : CatBoost, Pool

Code Type : Prediction function

Code Difficulty : Intermediate

                
                    
def predict_with_catboost(X_train, y_train, X_test):
    from catboost import CatBoostClassifier, Pool

    # Initialize the CatBoost Classifier
    model = CatBoostClassifier()

    # Train the model using the training data
    model.fit(Pool(X_train, label=y_train))

    # Predict the labels for the test data
    predictions = model.predict(X_test)

    return predictions