A learning model exhibits overfitting when

1. the model has learned the pattern, but not the noise, in the training data.
2. the model has not learned the pattern or the noise in the data.
3. the model has learned the noise, but not the pattern, in the training data.
4. the model has learned the noise in addition to the pattern in the training data.