Overfitting Underfitting, High Brass, Addressing Overfitting, Logistic Regression.
data too well [5]. And, at the other extreme, would be if we were to fit, say a fourth other polynomial to the data. So, here we have five parameters, theta zero through theta four, and, with that, we can actually fill a curve that process through all five of our training examples. You might get a