CORRECTING A CLASSIFICATION MODEL

Provided are techniques for correcting a classification model. For each original record of a plurality of original records that are processed by a classification model: the original record is perturbed; for the original record, an original confidence value is obtained for each class of a plurality of classes; for the perturbed record, a perturbed confidence value is obtained for each class of the plurality of classes; a final confidence value is determined using each original confidence value, each perturbed confidence value, and a direction of distance travelled; and a determination is made of whether the original record is biased based on the final confidence value. Then, it is determined whether the classification model is biased based on the original records that are determined to be biased. In response to determining that the classification model is biased, the classification model is corrected, otherwise, the classification model is deployed.