NONSTATIONARY STREAM DATA LEARNING WITH IMBALANCED CLASS DISTRIBUTION - Imbalanced Learning: Foundations, Algorithms, and Applications - page 172

1

REA

SERA

0.8

0.6

Normal

UB

0.4

SMOTE

0.2

0

0 0.2 0.4 0.6 0.8 1

(a) ROC curves of algorithms in comparison
for the 10th data chunk of ELEC dataset

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SERA

0.8

0.6

Normal

0.4

REA

0.2

SMOTE

UB

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0 0.2 0.4 0.6 0.8 1

(b) ROC curves of algorithms in comparison
for the 20th data chunk of ELEC dataset

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REA

0.8

SMOTE

0.6 UB

SERA

0.4

Normal

0.2

0

0 0.2 0.4 0.6 0.8 1

(c) ROC curves of algorithms in comparison
for the 30th data chunk of ELEC dataset

Figure 7.9 ROC curves for selected data chunks of ELEC dataset.