Leave-one-out cross-validation results.
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Recall, precision, and f-measure are calculated for each class. Weighted f-measure, fW, and average accuracy, Acc, are calculated for all classes of a problem. All assessments are based on leave-one-out cross-validation on the labeled dataset. Shown in bold are the top-performing classifiers for each problem. RF-SL-2F corresponds to the self-learning RF classifier using 2 additional features.
创建时间：
2014-05-01
