From: Comparative study of classification algorithms for immunosignaturing data
Data set | Diabetes | Alzheimer’s | Antibodies | Avg. (in ms) | Rank |
---|---|---|---|---|---|
Random Tree | 1809 | 491 | 1478 | 1260 | 1 |
KNN | 3016 | 607 | 910 | 1511 | 2 |
Hyper Pipes | 2486 | 602 | 2180 | 1756 | 3 |
Naïve Bayes | 4780 | 1158 | 2480 | 2806 | 4 |
VFI | 7440 | 1357 | 3000 | 3932 | 5 |
J48 | 16581 | 1385 | 11731 | 9899 | 6 |
K star | 25974 | 2348 | 6341 | 11555 | 7 |
SVM | 10496 | 2722 | 29008 | 14076 | 8 |
R. Forest | 50087 | 8032 | 21452 | 26524 | 9 |
M5P | 50290 | 8563 | 23452 | 27435 | 10 |
Bayes Net | 55672 | 9031 | 25000 | 29901 | 11 |
K-means | 85955 | 12405 | 29658 | 42672 | 12 |
SLR | 632840 | 48215 | 605365 | 428806 | 13 |
LDA | 658668 | 869523 | 632983 | 720391 | 14 |
Logistic R. | 1589092 | 1146783 | 1315256 | 1350377 | 15 |
ASC | 5444533 | 2465021 | 4565896 | 4158483 | 16 |
MLP | dnf | dnf | dnf | NA | 17 |