Table 6 Running times.
From: CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data
Variable selection methods | ||
|---|---|---|
Method | Running time per learningset | |
Multiclass F-Test | 3.1 s | |
Krusal-Wallis test | 3.5 s | |
Limma* | 0.16s | |
Random Forest†,* | 4.1 s | |
Classification methods | ||
Method | # variables | Running time per 50 learningsets |
DLDA | all (2308) | 2.7 s |
LDA | 10 | 1.4 s |
QDA | 2 | 1.0 s |
Partial Least Squares | all (2308) | 4.2 s |
Shrunken Centroids | all (2308) | 2.8 s |
SVM* | all (2308) | 88s |