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