Target leakage can compromise model predictions, but there are effective strategies to mitigate it. By utilizing timestamp columns, CatBoost ensures that target encoding is based solely on earlier observations, preventing data leakage. In cases where no timestamp exists, CatBoost employs a shuffling technique to maintain the integrity of the encoding process.
