Answer-
It is a situation that occurs in statistical modeling ,where the algorithm starts to over analyze the data ,thereby receiving a lot of noise rather than useful data.
It can be prevented by using these methods-
1.Early stopping.
2.Ensemble models.
3.Cross-Validation.
4.Feature removal.
5.Regularisation.