Algorithm | Test Parameters |
---|---|
LDA | No parameters |
SVM | Kernel type, t= {linear, polynomial, radial base function, sigmoid} Cost, C = {1, 3, 5, 7, 9, 10, 12, 15} Degree, d = {1, 2, 3, 4, 5} Gamma, g = {0.001, 0.005, 0.1, 0.15, 0.2, 0.4, 0.6, 0.8, 1, 2, 3, 5} Coef0, r= {0, 1, 2} |
NaiveBayes | Kernel density, K = {0, 1} Supervised discretization, D = {0, 1} |
C-MANTEC | Max. Iterations, I max = {1000, 10000, 100000} GFac, g fac = {0.01, 0.05, 0.1, 0.2, 0.25, 0.3} Phi, φ = {1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6} |
kNN | Neighbours, k = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} Distance type, d= {Euclidean, chi-squared, cosine-similarity} |
MLP | Hidden neurons, N Hidden = {2, 3, 4, 5, 6} Alpha, α = {0.05, 0.1, 0.2, 0.3, 0.5} Number cycles, N Cycles = {10, 25, 50} |