Machine Learning, Data Science, Artificial Intelligence.
compared to Train set error) If Test set error is much higher compared to the Train set error then, we can say that we have High Variance. Obtaining a training set error of 0.5% and a Test set error of 10% means our model is not generalizing well, which means that our model is Over-fitting as well.