Research Article

Conformational B-Cell Epitopes Prediction from Sequences Using Cost-Sensitive Ensemble Classifiers and Spatial Clustering

Table 2

Confusion matrix.

Actually positiveActually negative

Predict positiveCost(+, +)Cost(+, −)
Predict negativeCost(−, +)Cost(−, −)

Cost values are set according to different classification results. Generally, for a rare positive and prevalent negative samples, Cost(+, −) > Cost(−, +). And Cost(+, +) = Cost(−, −) = 0 denotes no penalty for a correctly predicted sample.