| Issue | #Downvotes for this reason | By |
|---|
| K | weka.PolyKernel(4) | The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel) |
| I | weka.RegSMOImproved(2) | Optimizer class used for solving quadratic optimization problem (default weka.classifiers.functions.supportVector.RegSMOImproved) |
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| C | The complexity constant C. (default 1) | default: 1.0 |
| E | The Exponent to use. (default: 1.0) | |
| I | Optimizer class used for solving quadratic optimization problem (default weka.classifiers.functions.supportVector.RegSMOImproved) | default: weka.classifiers.functions.supportVector.RegSMOImproved |
| K | The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel) | default: weka.classifiers.functions.supportVector.PolyKernel |
| L | The epsilon parameter in epsilon-insensitive loss function. (default 1.0e-3) | |
| 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) | |
| T | The tolerance parameter for checking the stopping criterion. (default 0.001) | |
| V | Use variant 1 of the algorithm when true, otherwise use variant 2. (default true) | |
| W | The random number seed. (default 1) | |
| no-checks | Turns off all checks - use with caution! (default: checks on) | |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |