Table 1 Overall performance measure of classification algorithms on datasets
From: Comparative study of classification algorithms for immunosignaturing data
Algorithms | T1D | Az | Ab | Asthma | A & B | A & C | B & D | Avg. | Rank |
|---|---|---|---|---|---|---|---|---|---|
Naïve Bayes | 92.0 | 93.4 | 91.5 | 77.7 | 90.8 | 93.5 | 93.6 | 90.4 | 1 |
MLP | 90.1 | 92.7 | 90.2 | 71.1 | 84.7 | 92.7 | 89.3 | 87.3 | 2 |
SVM | 91.6 | 88.0 | 90.7 | 71.3 | 86.1 | 88.4 | 93.1 | 87.0 | 3 |
VFI | 90.5 | 92.2 | 75.5 | 62.6 | 87.7 | 93.4 | 92.7 | 84.9 | 4 |
Hyper Pipes | 89.8 | 89.7 | 81.3 | 62.3 | 82.0 | 86.6 | 87.8 | 82.8 | 5 |
R. Forest | 91.5 | 82.4 | 93.3 | 62.8 | 80.6 | 81.4 | 81.1 | 81.9 | 6 |
Bayes Net | 90.3 | 87.7 | 92.5 | 53.9 | 80.2 | 83.2 | 85.1 | 81.8 | 7 |
K-means | 88.3 | 91.8 | 80.7 | 59.6 | 77.8 | 83.3 | 83.6 | 80.7 | 8 |
Logistic R. | 90.6 | 93.3 | 60.4 | 50.7 | 81.5 | 84.8 | 90.7 | 78.9 | 9 |
SLR | 92.2 | 71.8 | 90.1 | 72.2 | 65.0 | 68.5 | 84.7 | 77.8 | 10 |
KNN | 91.4 | 81.5 | 52.5 | 55.8 | 87.5 | 75.7 | 89.0 | 76.2 | 11 |
K star | 81.9 | 90.7 | 89.4 | 53.5 | 64.3 | 68.8 | 70.7 | 74.2 | 12 |
M5P | 85.1 | 58.7 | 83.2 | 60.0 | 75.2 | 73.4 | 79.6 | 73.6 | 13 |
J48 | 80.3 | 69.7 | 78.4 | 48.7 | 70.6 | 68.4 | 76.7 | 70.4 | 14 |
Random Tree | 83.8 | 71.7 | 76.2 | 52.9 | 69.3 | 60.8 | 75.0 | 70.0 | 15 |
ASC | 76.8 | 70.0 | 77.9 | 43.1 | 72.0 | 63.1 | 76.7 | 68.5 | 16 |
LDA | 69.7 | 52.0 | 89.1 | 70.8 | 62.8 | 69.7 | 52.6 | 66.7 | 17 |