Machine Learning, Data Science, Overfitting, Underfitting.
variance. This means that your algorithm can’t make accurate predictions — changing the input data only a little, the model output changes very much. Overfitting. The 13-degree polynomial model trained on cubic data. Image by Author These are two extremes of the same problem and the optimal