| Issue | #Downvotes for this reason | By |
|---|
| B | weka.RandomizableFilteredClassifier_MultilayerPerceptron(1) | Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR") |
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
| B | Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR") | default: weka.classifiers.meta.RandomizableFilteredClassifier |
| P | Full path to serialized classifier to include. May be specified multiple times to include multiple serialized classifiers. Note: it does not make sense to use pre-built classifiers in a cross-validation. | |
| R | The combination rule to use (default: AVG) | default: AVG |
| S | Random number seed. (default 1) | default: 1 |
| batch-size | The desired batch size for batch prediction (default 100). | |
| do-not-print | Suppress the printing of the individual models in the output | |
| 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 |