Seonglae ChoPredicts training dataset > test, High Variance (Spurious correlation)
데이터를 Generalization 하려기 보다 개별 sample을 기억하도록 학습되는 것
Models that are bigger or have more capacity are more likely to overfit. In other words, large number of parameters can cause overfitting since it allows for more accurate fitting to the training data, resulting in higher variance of the model. However If data is general enough, overfitting is okay like Deep double descent.
Resolve Overfitting
