Overfitting, Underfitting, Bias Variance Tradeoff, Bias, Variance.
Imagine a model is trained to identify whether a person should be approved for the loan or not. Approach 1 — model learns that in most cases the loan for male candidate is approved. And uses that information alone to classify if people should get a loan. This is a problem because the model did not