Overfitting Underfitting, High Brass, Addressing Overfitting, Logistic Regression.
features X1 and x2. One thing we could do, is fit logistic regression with just a simple hypothesis like this, where, as usual, G is my sigmoid function. And if you do that, you end up with a hypothesis, trying to use, maybe, just a straight line to separate the positive and the negative examples.