Issue | #Downvotes for this reason | By |
---|
K | weka.PolyKernel(2) | The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel) |
C | The complexity constant C. (default 1) | default: 1.0 |
D | If set, classifier is run in debug mode and may output additional info to the console | |
E | The Exponent to use. (default: 1.0) | |
K | The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel) | default: weka.classifiers.functions.supportVector.PolyKernel |
L | The tolerance parameter. (default 1.0e-3) | default: 0.001 |
M | Fit logistic models to SVM outputs. | |
N | Whether to 0=normalize/1=standardize/2=neither. (default 0=normalize) | default: 0 |
P | The epsilon for round-off error. (default 1.0e-12) | default: 1.0E-12 |
V | The number of folds for the internal cross-validation. (default -1, use training data) | default: -1 |
W | The random number seed. (default 1) | default: 1 |
no-checks | Turns off all checks - use with caution! Turning them off assumes that data is purely numeric, doesn't contain any missing values, and has a nominal class. Turning them off also means that no header information will be stored if the machine is linear. Finally, it also assumes that no instance has a weight equal to 0. (default: checks on) |