From: One-class kernel subspace ensemble for medical image classification
Classification accuracy
Error rate
AUC
LSH
87.38
13.62
88.97
CAS
91.94
7.88
93.12
HF
90.27
9.73
91.56
Proposed
92.28
7.72
93.85