Table 11 |
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Summary of performance and time measures of classification algorithms | |||||
# Rank 1 | # Rank 2 | # >90% | Distance | Time | |
Naïve Bayes | 5 | 1 | 6 | −0.3 | 2X |
MLP | 0 | 0 | 4 | −3.4 | 7615X |
SVM | 0 | 1 | 3 | −3.6 | 11X |
VFI | 0 | 2 | 4 | −5.7 | 3X |
Hyper Pipes | 0 | 0 | 0 | −7.9 | 1X |
R. Forest | 1 | 0 | 2 | −8.8 | 21X |
Bayes Net | 0 | 1 | 2 | −8.8 | 24X |
K-means | 0 | 0 | 1 | −9.9 | 34X |
Logistic R. | 0 | 1 | 3 | −11.8 | 1072X |
SLR | 1 | 1 | 2 | −12.9 | 340X |
KNN | 0 | 0 | 1 | −14.4 | 1X |
K star | 0 | 0 | 1 | −16.5 | 9X |
M5P | 0 | 0 | 0 | −17.0 | 22X |
J48 | 0 | 0 | 0 | −20.2 | 8X |
Random Tree | 0 | 0 | 0 | −20.7 | 1X |
ASC | 0 | 0 | 0 | −22.1 | 3300X |
LDA | 0 | 0 | 0 | −24.0 | 572X |
#Rank 1, Rank 2: No. of times algorithm ranked 1^{st} and 2^{nd} on 7 datasets, # > 90%: No. of times algorithm scored overall average score >90% on 7 datasets, Distance: magnitude an algorithm trails behind on average from the Rank 1 for the datasets (5% or less distance are marked in bold). Time: performance slower with respective to fastest algorithm. Time performances slower by 5 folds to fastest algorithm are marked in bold.
Kukreja et al.
Kukreja et al. BMC Bioinformatics 2012 13:139 doi:10.1186/1471-2105-13-139