Table 11

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 1st and 2nd 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

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