Category

Algorithm

Option(s) Selected

Bayes

Naïve Bayes

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Function

SMO (Sequential Minimal Optimization)

Polynomial Kernel

LibSVM (Support Vector Machine)

Radial Basis Function (RBF) Kernel, gamma = 0.5, loss = 0.001

Lazy

IBk (k-nearest neighbors)

k = 1, 2, 3

Meta

Classification via Clustering- Simple K Means (k Means)

k = 2 (7 and 13 for multiclass classification on ADFA-LD and ADFA-WD dataset respectively)

Rules

ZeroR

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OneR

minBucketSize(B) = 5, 6, 10

JRip (RIPPER)

Folds = 3

Trees

J48 (C4.5)

confidenceFactor = 0.25, minNumObj = 2