Table 1.
Confusion matrix.
Fig 1.
Data trend estimation.
Fig 2.
The proposed procedure for learning imbalanced data sets.
Fig 3.
The testing procedure for imbalanced data sets.
Table 2.
Data set description.
Table 3.
The results of four classifiers for the WDBC, PD, VC, and HS data set.
Table 4.
The results for differentα-cut values.
Table 5.
The results of the six methods on WDBC dataset.
Table 6.
The results of the six methods on PD dataset.
Table 7.
The results of the six methods on VC dataset.
Table 8.
The results of the six methods on HS dataset.
Table 9.
The number of Sbox, Smtd, M'−m, and M'+m' with N = 60.