| Issue | #Downvotes for this reason | By |
|---|
| W | weka.RandomTree(12) | 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). | |
| E | The number of threads to use for batch prediction, which should be >= size of thread pool. (default 1) | default: 1 |
| H | Shrinkage parameter. (default 1) | default: 1.0 |
| I | Number of iterations. (current value 10) | default: 10 |
| L | Threshold on the improvement of the likelihood. (default -Double.MAX_VALUE) | default: -1.7976931348623157E308 |
| O | The size of the thread pool, for example, the number of cores in the CPU. (default 1) | default: 1 |
| P | Percentage of weight mass to base training on. (default 100, reduce to around 90 speed up) | default: 100 |
| Q | Use resampling instead of reweighting for boosting. | |
| S | Random number seed. (default 1) | default: 1 |
| W | Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) | default: weka.classifiers.trees.RandomTree |
| Z | Z max threshold for responses. (default 3) | default: 3.0 |
| 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 |