Description Usage Arguments Details Value References Examples
This function performs the Nemenyi test
1 | nemenyiTest(data, alpha = 0.05)
|
data |
Matrix or data frame where each algorithm is in a column |
alpha |
Significance level |
The test has been implemented according to the version in Demsar (2006), page 7
A list with class "htest" containing the following components: statistic
, the value of the statistic used in the test; method
, a character string indicating what type of test was performed; data.name
, a character string giving the name of the data and diff.matirx
, a matrix with all the pairwise differences of average rankings
Demsar, J. (2006) Statistical Comparisons of Classifiers over Multiple Data Sets. Journal of Machine Learning Research, 7, 1-30.
1 2 3 4 | data(data_gh_2008)
res <- nemenyiTest(data.gh.2008, alpha = 0.1)
res
res$diff.matrix
|
Nemenyi test
data: data.gh.2008
Critical difference = 1.014, k = 5, df = 145
C4.5 k-NN(k=1) NaiveBayes Kernel CN2
[1,] 0.000000 -1.1500000 -0.1000000 -2.233333 -1.0166667
[2,] -1.150000 0.0000000 1.0500000 -1.083333 0.1333333
[3,] -0.100000 1.0500000 0.0000000 -2.133333 -0.9166667
[4,] -2.233333 -1.0833333 -2.1333333 0.000000 1.2166667
[5,] -1.016667 0.1333333 -0.9166667 1.216667 0.0000000
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