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 | 91.7 | 100 | 83.3 | 0.95 | 91.7 | 91.7 | 91.7 | 0.92 | 95.8 | 91.7 | 100 | 0.98 | 93.6 |
SVM | 91.7 | 100 | 83.3 | 0.92 | 91.7 | 91.7 | 91.7 | 0.92 | 95.8 | 100 | 91.7 | 0.96 | 93.1 |
VFI | 87.5 | 100 | 75.0 | 0.93 | 91.7 | 100 | 83.3 | 0.94 | 95.8 | 100 | 91.7 | 1.00 | 92.7 |
Logistic R. | 79.1 | 83.3 | 75.0 | 0.92 | 100 | 100 | 100 | 1.00 | 87.5 | 91.7 | 83.3 | 0.97 | 90.7 |
MLP | 87.5 | 91.7 | 83.3 | 0.94 | 87.5 | 83.3 | 91.7 | 0.96 | dnf | dnf | dnf | dnf | 89.3* |
K means | 87.5 | 91.7 | 83.3 | 0.88 | 91.4 | 91.7 | 91.7 | 0.92 | 87.5 | 83.3 | 91.7 | 0.88 | 89.0 |
Hyper Pipes | 87.5 | 83.3 | 91.7 | 0.89 | 91.7 | 91.7 | 91.7 | 0.87 | 83.3 | 75.0 | 91.7 | 0.90 | 87.8 |
Bayes Net | 83.3 | 83.3 | 83.3 | 0.89 | 87.5 | 91.7 | 83.3 | 0.86 | 83.3 | 83.3 | 83.3 | 0.84 | 85.1 |
SLR | 83.3 | 83.3 | 83.3 | 0.88 | 79.2 | 66.7 | 91.7 | 0.90 | 87.5 | 100 | 75.0 | 0.89 | 84.7 |
KNN | 79.2 | 75.0 | 83.3 | 0.80 | 83.3 | 83.3 | 83.3 | 0.83 | 87.5 | 91.7 | 83.3 | 0.90 | 83.6 |
Random Forest | 83.3 | 83.3 | 83.3 | 0.83 | 79.2 | 83.3 | 75.0 | 0.84 | 79.2 | 83.3 | 75.0 | 0.81 | 81.1 |
M5P | 87.5 | 91.7 | 83.3 | 0.88 | 79.2 | 83.3 | 75.0 | 0.73 | 75.0 | 83.3 | 66.7 | 0.69 | 79.6 |
ASC | 91.7 | 100 | 83.3 | 0.83 | 75.0 | 83.3 | 66.7 | 0.61 | 70.8 | 75.0 | 66.7 | 0.64 | 76.7 |
J48 | 91.7 | 100 | 83.3 | 0.83 | 75.0 | 83.3 | 66.7 | 0.61 | 70.8 | 75.0 | 66.7 | 0.64 | 76.7 |
Random Tree | 83.3 | 91.7 | 75.0 | 0.83 | 70.8 | 66.7 | 75.0 | 0.71 | 70.8 | 66.7 | 75.0 | 0.71 | 75.0 |
K star | 70.8 | 66.7 | 75.0 | 0.83 | 79.2 | 75.0 | 83.3 | 0.82 | 58.3 | 100 | 16.7 | 0.58 | 70.7 |
LDA | 62.5 | 72.3 | 60.9 | 0.75 | 50.0 | 65.0 | 48.0 | 0.71 | 20.8 | 42.6 | 18.6 | 0.45 | 52.6 |