Table 1 For case 1: Average F1 scores, precisions, and recalls of the risk gene prediction models built on SASMOTES, SASMOTE without visible neighbors, SASMOTE without inspections, B-SMOTE, SMOTE, and original datasets. The values in brackets represent the standard deviation (Std) in 5-fold cross validation. The proposed SASMOTE performs better on the average recall and F1 score, and the original dataset performs best on the average precision

From: A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare