Fix RayTaskError

✅ Solution

RayTaskError in xgboost often arises from GPU memory exhaustion during training, especially with large datasets. To fix this, reduce the `max_depth` parameter in your XGBoost model to decrease GPU memory usage or implement early stopping to prevent over-allocation; consider downsampling your training data if feasible to reduce overall memory footprint. Also make sure the `tree_method` parameter is set to `gpu_hist` for GPU acceleration.