Random CatBoost Model Training Function

This function uses the CatBoostClassifier class from the CatBoost library to train a classification model. It takes a dataset and labels as input and returns the trained model.

Technology Stack : CatBoost library

Code Type : Custom function

Code Difficulty : Intermediate

                
                    
import catboost as cb

def random_catboost_model_training(data, labels):
    """
    Train a random CatBoost model on the given data and labels.
    """
    # Initialize a CatBoost model
    model = cb.CatBoostClassifier()

    # Train the model
    model.fit(data, labels, verbose=0)

    return model