Table 5 Average F1 scores on different threshold of uncertainty score T values. The values in brackets represent the standard deviation (Std) in 5-fold cross validation. The proposed SASMOTE algorithm performs better on the average F1 score with respect to the value of T ranging from 25% to 60% while the SASMOTE without visible neighbors performs better with respect to the value of T = 75% and T = 90%

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