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EURASIP Journal on Advances in Signal Processing

Table 8 Comparison of classification accuracy on the UCI breast cancer image set

From: One-class kernel subspace ensemble for medical image classification

 

MLPE

BoostNN

DT-SVM-SMO

Proposed

Classification

97.10

96.25

91.67

97.28

accuracy

    
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