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Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

1 vote

Active learning using logistic regression

In classification setting, there are two popular query strategies: uncertainty sampling and query by committee (see paper for an extensive review). In uncertainty sampling, an active learner queries t …
Vadim Smolyakov's user avatar
0 votes

statistical modelling for imbalanced data

Most classification algorithms will only perform optimally when the number of samples in each class is roughly the same. One way of addressing the issue of skewed datasets where the minority class is …
Vadim Smolyakov's user avatar