Test set evaluation

1. Evaluating the effectiveness of early stopping: Metrics and benchmarks for measuring model performance
2. Cross-Validation: Training Vs. Validation Data (Unpacked)
3. Data Augmentation: AI (Brace For These Hidden GPT Dangers)