From: Comparative study of classification algorithms for immunosignaturing data
SIGNIFICANCE | p < 5 x 10-4 | p < 5 x 10-3 | p < 5 x 10-2 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Algorithm | Acc. | Sp | Sn | AUC | Acc. | Sp | Sn | AUC | Acc. | Sp | Sn | AUC | Avg. |
Naïve Bayes | 87.5 | 83.3 | 91.7 | 0.84 | 91.7 | 83.3 | 100 | 0.97 | 91.7 | 83.3 | 100 | 0.96 | 90.8 |
VFI | 79.2 | 75.0 | 83.3 | 0.93 | 91.7 | 83.3 | 100 | 0.95 | 87.5 | 75.0 | 100 | 0.90 | 87.7 |
K means | 87.5 | 83.3 | 91.7 | 0.88 | 91.7 | 83.3 | 100 | 0.92 | 83.3 | 75.0 | 91.7 | 0.83 | 87.5 |
SVM | 83.3 | 83.3 | 83.3 | 0.83 | 87.5 | 91.7 | 83.3 | 0.87 | 87.5 | 83.3 | 91.7 | 0.88 | 86.1 |
MLP | 79.2 | 83.3 | 75.0 | 0.70 | 91.7 | 91.7 | 91.7 | 0.95 | dnf | dnf | dnf | dnf | 84.7* |
Hyper Pipes | 83.3 | 75.0 | 91.7 | 0.91 | 83.3 | 83.3 | 83.3 | 0.93 | 70.8 | 83.3 | 58.3 | 0.88 | 82.0 |
Logistic R. | 66.7 | 83.3 | 50.0 | 0.76 | 95.8 | 91.7 | 100 | 0.92 | 79.2 | 83.3 | 75.0 | 0.85 | 81.5 |
Random Forest | 79.2 | 83.3 | 75.0 | 0.91 | 79.2 | 75.0 | 83.3 | 0.86 | 79.2 | 75.0 | 83.3 | 0.78 | 80.6 |
Bayes Net | 83.3 | 75.0 | 91.7 | 0.87 | 83.3 | 83.3 | 83.3 | 0.83 | 75.0 | 75.0 | 75.0 | 0.67 | 80.2 |
KNN | 75.0 | 83.3 | 66.7 | 0.85 | 75.0 | 91.7 | 58.3 | 0.90 | 75.0 | 91.7 | 58.3 | 0.84 | 77.8 |
M5P | 75.0 | 83.3 | 66.7 | 0.74 | 75.0 | 75.0 | 75.0 | 0.79 | 75.0 | 75.0 | 75.0 | 0.74 | 75.2 |
ASC | 62.5 | 66.7 | 58.3 | 0.65 | 79.2 | 83.3 | 75.0 | 0.85 | 70.8 | 75.0 | 66.7 | 0.76 | 72.0 |
J48 | 62.5 | 66.7 | 58.3 | 0.65 | 79.2 | 83.3 | 75.0 | 0.85 | 66.7 | 75.0 | 58.3 | 0.72 | 70.6 |
Random Tree | 70.8 | 75.0 | 66.7 | 0.70 | 70.8 | 75.0 | 66.7 | 0.70 | 66.7 | 66.7 | 66.7 | 0.67 | 69.3 |
SLR | 70.8 | 75.0 | 66.7 | 0.80 | 66.7 | 75.0 | 58.3 | 0.77 | 50.0 | 50.0 | 50.0 | 0.60 | 65.0 |
K star | 66.7 | 91.7 | 41.7 | 0.83 | 58.3 | 100 | 46.7 | 0.83 | 50.0 | 0.0 | 100 | 0.50 | 64.3 |
LDA | 79.2 | 83.3 | 75.0 | 0.84 | 61.2 | 64.5 | 54.5 | 0.52 | 29.2 | 14.3 | 100 | 0.56 | 62.8 |