👉 A validation weapon is a machine learning model designed to evaluate the performance of a trained model on unseen data, serving as an independent test set to ensure the model's generalization ability. Unlike a test set, which is used solely for final performance evaluation, a validation weapon is used during the model development process to tune hyperparameters and prevent overfitting by providing a consistent, unbiased assessment of the model's performance on data not seen during training. This helps in selecting the best model configuration and improving its robustness and reliability on new, real-world data.
