From: Improved shrunken centroid classifiers for high-dimensional class-imbalanced data
Data set | Method | λ ∗ a | # genes | PA | PA1 | PA2 | g-means | AUC |
---|---|---|---|---|---|---|---|---|
Ivshina | PAM | 0 | 22283 | 0.84 | 0.79 | 0.85 | 0.82 | 0.85 |
(ER) | GM-PAM | 4.83 | 51 | 0.82 | 0.91 | 0.81 | 0.86 | 0.90 |
ALP | 0 | 22283 | 0.84 | 0.82 | 0.84 | 0.83 | 0.86 | |
GM-ALP | 58.24 | 26 | 0.85 | 0.91 | 0.84 | 0.87 | 0.88 | |
AHP | 185.56 | 20 | 0.89 | 0.88 | 0.89 | 0.88 | 0.90 | |
GM-AHP | 69.58 | 115 | 0.89 | 0.88 | 0.89 | 0.89 | 0.91 | |
Wang | PAM | 3.71 | 14 | 0.61 | 0.60 | 0.62 | 0.61 | 0.62 |
GM-PAM | 3.71 | 14 | 0.60 | 0.60 | 0.62 | 0.61 | 0.63 | |
ALP | 8.26 | 654 | 0.56 | 0.57 | 0.55 | 0.56 | 0.63 | |
GM-ALP | 8.26 | 654 | 0.56 | 0.56 | 0.56 | 0.56 | 0.63 | |
AHP | 21.95 | 135 | 0.56 | 0.56 | 0.56 | 0.56 | 0.65 | |
GM-AHP | 21.95 | 135 | 0.56 | 0.56 | 0.55 | 0.56 | 0.63 | |
Korkola | PAM | 0.19 | 7073 | 0.65 | 0.71 | 0.57 | 0.64 | 0.64 |
GM-PAM | 0.19 | 7073 | 0.65 | 0.71 | 0.57 | 0.64 | 0.64 | |
ALP | 4.87 | 155 | 0.64 | 0.65 | 0.62 | 0.63 | 0.64 | |
GM-ALP | 4.87 | 155 | 0.69 | 0.74 | 0.62 | 0.67 | 0.69 | |
AHP | 0.76 | 1308 | 0.58 | 0.68 | 0.43 | 0.54 | 0.58 | |
GM-AHP | 0.76 | 1308 | 0.62 | 0.71 | 0.48 | 0.58 | 0.60 |