| Issue | #Downvotes for this reason | By |
|---|
| W | weka.SMO_PolyKernel(15) | Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) |
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| A | The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). | default: true |
| K | Set the number of neighbours used to set the kernel bandwidth. (default all) | default: -1 |
| U | Set the weighting kernel shape to use. 0=Linear, 1=Epanechnikov, 2=Tricube, 3=Inverse, 4=Gaussian. (default 0 = Linear) | default: 0 |
| W | Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) | default: weka.classifiers.functions.SMO |
| batch-size | The desired batch size for batch prediction (default 100). | |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |