Yoda Response: If the model's performance is not as expected, I must diagnose the issue. First, I would check the dataset for inconsistencies or errors. I will ensure proper preprocessing. Next, I will evaluate the model for overfitting or underfitting. If it is overfitting, I would simplify the model or use regularization techniques. If it is underfitting, I would increase model complexity or gather more data. I will validate the model using cross-validation to ensure robustness. I might experiment with different algorithms or hyperparameters. I would consider techniques like bagging or boosting to improve performance. This approach must be iterative and thorough.