Machine Learning, Programming, Data Science, Statistics, Technology.
model follows the training data too closely and takes into account the noise in the data. Therefore, once the data is changed, for example, the test data is used, then the model struggles to find the true relationship between the features in the data. Image Source: Author To understand the problem