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Table 5 Averaged AUC values (%) of projection method and Cosine kernel for the considered datasets

From: Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence

Dataset Projection method Cosine kernel
Live disorder data 73.71  ± 1.21 65.63  ± 2.75
Sonar data 89.57  ± 1.37 67.46  ± 4.32
Breast data 99.37  ± 0.06 97.99  ± 3.09
Cystic (q=1) 79.25  ± 1.80 76.89  ± 3.24
Cystic (q=2) 80.55  ± 1.38 79.80  ± 1.84
Cystic (q=3) 78.27  ± 1.59 70.10  ± 4.01
Cystic (q=4) 73.24  ± 2.15 58.52  ± 4.95
Cystic (q=5) 64.38  ± 3.85 52.13  ± 4.30
Cystic (q=6) 69.26  ± 2.11 60.72  ± 5.36
Cystic (q=7) 64.6  ± 2.38 58.54  ± 3.80
Cystic (q=8) 63.17  ± 2.89 63.66  ± 3.21
Cystic (q=9) 54.21  ± 2.30 43.05  ± 2.38
Leukemia (q=1) 94.36  ± 0.43 90.73  ± 1.94
Leukemia (q=2) 94.38  ± 0.79 69.45  ± 4.81
Leukemia (q=3) 95.20  ± 0.49 69.97  ± 6.58
Leukemia (q=4) 94.73  ± 0.45 73.33  ± 5.99
Leukemia (q=5) 91.23  ± 0.44 71.81  ± 9.62
Leukemia (q=6) 93.19  ± 0.66 79.08  ± 6.96
Leukemia (q=7) 90.56  ± 1.25 65.26  ± 6.90
Leukemia (q=8) 87.81  ± 0.98 58.31  ± 2.87
Leukemia (q=9) 87.52  ± 1.20 55.88  ± 3.82
NSCLC 52.91  ± 4.45 48.64  ± 5.30
  1. Bold face represents best performance for the considered data sets in the compared two methods: Projection method and Cosine Kernel method, and no marks are made if two methods show comparable performance
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