| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built
(use with caution). | |
| -doNotMakeSplitPointActualValue | Do not make split point actual value. | |
| A | Laplace smoothing for predicted probabilities. | |
| B | Use binary splits only. | |
| C | Set confidence threshold for pruning.
(default 0.25) | |
| F | Full class name of filter to use, followed
by filter options.
eg: "weka.filters.unsupervised.attribute.PrincipalComponents-R 1.0" | default: weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1 |
| G | Minimum size of a group of attributes:
if numberOfGroups is true, the minimum number
of groups.
(default: 3) | default: 3 |
| H | Maximum size of a group of attributes:
if numberOfGroups is true, the maximum number
of groups.
(default: 3) | default: 3 |
| I | Number of iterations.
(current value 10) | default: 10 |
| J | Do not use MDL correction for info gain on numeric attributes. | |
| L | Do not clean up after the tree has been built. | |
| M | Set minimum number of instances per leaf.
(default 2) | |
| N | Whether minGroup (-G) and maxGroup (-H) refer to
the number of groups or their size.
(default: false) | |
| O | Do not collapse tree. | |
| P | Percentage of instances to be removed.
(default: 50) | default: 50 |
| Q | Seed for random data shuffling (default 1). | |
| R | Use reduced error pruning. | |
| S | Random number seed.
(default 1) | default: 1 |
| U | Use unpruned tree. | |
| W | Full name of base classifier.
(default: weka.classifiers.trees.J48) | default: weka.classifiers.trees.RandomForest |
| 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). | |
| num-slots | Number of execution slots.
(default 1 - i.e. no parallelism)
(use 0 to auto-detect number of cores) | default: 1 |
| output-debug-info | If set, classifier is run in debug mode and
may output additional info to the console | |