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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