Gradient Descent, Machine Learning.
that the next time a sample with the feature is observed, we are more inclined to predict it as the positive class). For this particular combination of yᵢ with xᵢ and all else being equal, the larger the [1–p] factor, the more aggressively we want to increment w in the next iteration. Note that you