Machine Learning, Data Science, Overfitting, Underfitting.
solution always lies somewhere in the middle. Good model. The cubic model trained on cubic data. Image by Author I will not talk much about bias/variance trade-off (you can read the basics in this article), but let me briefly mention possible options: low bias, low variance — is a good result, just