Research Article

Prediction of Breast Cancer from Imbalance Respect Using Cluster-Based Undersampling Method

Table 6

Result comparison based on different datasets.

DatasetMethodAccuracySensitivitySpecificityG-meanAUCMCC

AbaloneK-Boosted C5.00.9600.20.9920.4450.5960.299
SMOTEBoost0.8220.6280.8340.7240.7300.264
RUSBoost0.5920.8020.580.6820.690.15
SMOTE-BoostedC5.00.6180.6350.6010.6180.6240.232

PimaK-Boosted C5.00.7660.6400.8200.7250.7300.454
SMOTEBoost0.750.6460.80.7190.7230.432
RUSBoost0.7140.7920.6760.7320.7330.446
SMOTE-BoostedC5.00.7130.7420.6840.7120.7130.425

Redwine1K-Boosted C5.00.8230.5170.9050.6840.8230.446
SMOTEBoost0.7840.5440.8580.6830.7010.397
RUSBoost0.7020.6560.7180.6860.690.34
SMOTE-BoostedC5.00.6880.7150.6610.6870.6880.377

Redwine2K-Boosted C5.00.9020.6810.9690.8120.8250.712
SMOTEBoost0.8260.850.820.8350.8350.59
RUSBoost0.820.8520.8120.8320.8320.577
SMOTE-BoostedC5.00.8440.8650.8220.84320.8430.691

Redwine3K-Boosted C5.00.8340.4100.8660.5960.6370.194
SMOTEBoost0.890.120.9480.3370.5450.054
RUSBoost0.7640.460.7880.6020.6340.171
SMOTE-BoostedC5.00.5670.5090.6250.5640.5730.137

Redwine4K-Boosted C5.00.9400.2630.9890.5100.6260.38
SMOTEBoost0.9160.280.9640.5200.6230.317
RUSBoost0.6780.640.6820.6610.6600.152
SMOTE-BoostedC5.00.6180.6350.6010.6180.6240.232

WhitewineK-Boosted C5.00.9250.6500.9610.790.8050.625
SMOTEBoost0.8040.8380.7980.8180.8180.502
RUSBoost0.7940.850.7840.8160.8170.49
SMOTE-BoostedC5.00.7960.8010.7920.7960.7970.593

Yeast1K-Boosted C5.00.9520.9570.9490.9530.9570.898
SMOTEBoost0.7620.7220.7880.7540.7540.497
RUSBoost0.7980.6940.8520.7690.7730.552
SMOTE-BoostedC5.00.7230.7340.7120.7230.7230.45

Yeast2K-Boosted C5.00.9510.9240.9580.9410.9410.855
SMOTEBoost0.9320.9040.940.9220.9210.836
RUSBoost0.930.9380.9260.9280.9310.824
SMOTE-BoostedC5.00.91160.89340.93880.91580.9160.821

Yeast3K-Boosted C5.00.6460.5750.7060.6370.6410.28
SMOTEBoost0.6180.6180.6120.6150.6160.232
RUSBoost0.640.5440.7280.6290.6360.27
SMOTE-BoostedC5.00.5980.4500.7350.5750.5930.195