Recent content by WWGD

Well, the Hyperreals are a field. Then every element, including infinitesimals, must have an additive inverse. EDIT: That means pure Infinitesimals, i.e., those with Real part =0, must have an additive inverse.

How hard could it be: Sum of squares of the sides equals the square of the Hypopotamus, isn't it?

Same goes for SVMs, also listed for both Classification and Regression

Confusingly, Knn is sometimes described as a predictor, some times as a classifier.

I'm not aware of any probabilistic classifier. Usually you just compare the predicted with the actual known value/class of elements in the Testing set., all, like you said, given a threshold, so that, e.g., a threshold of 0.6 will give us a given Confusion Matrix Can you give us examples of...

Excellent, that did it. My Programmability folder runneth over. Thanks.

The latest weight loss fad: Walking to the paint store to get thinner.

I meant in a general sense.