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. 2008 Nov 4;23(1):18–30. doi: 10.1007/s10278-008-9158-4

Table 2.

Grid Search for Optimal Parameters Inline graphic

Classifier family Parameters Ranges Step
Naive Bayes – – –
k-NN k [0; 100] linear
J48 Ninstances, Cpruning [0; 5], [0.02; 0.24] lin, lin
MLP Rlearn, Nhidden [10−10 ; 105], {0, 6, 22, 45} log, –
SVM C, σ [1; 100], [102; 10−2] lin, log

The values for the number of hidden layer units, Nhidden, of the MLP are chosen as {none, number of classes, (number of attributes + number of classes)/2, number of attributes + number of classes}