Model Diagnostics, Machine Learning.
not enough data relative to the complexity of the model, it’s easy to fit noise. The consequence of overfitting models is: Poor Generalization: Overfit models fail to generalize patterns beyond the training set. Reduced Predictive Power: Performance on unseen data deteriorates significantly.