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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

2 votes
1 answer
342 views

Combining DecisionTreeClassifiers

I have an array of sklearn.tree._classes.DecisionTreeClassifier classifiers that are used in a boosting algorithm, so the final classifier is a weighted sum of these individual trees. The problem is t …
Charles Pehlivanian's user avatar
1 vote

Adaboost for numeric dataset

Possible answer in Continuous Multistate Ada-boost method?. The SAMME adaboost method for multistate labels that you mention adds $log(K-1)$ to the $\alpha_t$ term used to weight the pts in the featur …
Charles Pehlivanian's user avatar