Skip to main content

Table 7 CIFAR-100 classification with MFE and MSFE [18]

From: Survey on deep learning with class imbalance

Data set Imbalance level (%) F-measure AUC
MSE MFE MSFE MSE MFE MSFE
Household 20 0.3913 0.4138 0.4271 0.7142 0.7397 0.7354
10 0.2778 0.2797 0.3151 0.7125 0.7179 0.7193
5 0.1143 0.1905 0.2353 0.6714 0.6950 0.6970
Tree 1 20 0.5500 0.5500 0.5366 0.8100 0.8140 0.8185
10 0.4211 0.4211 0.4211 0.7960 0.7990 0.7990
5 0.1667 0.2353 0.2353 0.7920 0.8000 0.8000
Tree 2 20 0.4348 0.4255 0.4255 0.8480 0.8450 0.8440
10 0.1818 0.2609 0.2500 0.8050 0.8050 0.8060
5 0.0000 0.1071 0.1481 0.5480 0.6520 0.7000
  1. Italic scores indicate MFE/MSFE loss outperforming MSE loss