weka.classifiers.trees.REPTree
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Uploaded 16-08-2018 by
Jason
Weka_3.4.3
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Parameters
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built
(use with caution). | default: ["false"] |
| I | Initial class value count (default 0) | default: ["0.0"] |
| L | Maximum tree depth (default -1, no maximum) | default: ["-1"] |
| M | Set minimum number of instances per leaf (default 2). | default: ["2"] |
| N | Number of folds for reduced error pruning (default 3). | default: ["3"] |
| P | No pruning. | default: ["false"] |
| R | Spread initial count over all class values (i.e. don't use 1 per value) | default: ["false"] |
| S | Seed for random data shuffling (default 1). | default: ["1"] |
| V | Set minimum numeric class variance proportion
of train variance for split (default 1e-3). | default: ["0.001"] |
| batch-size | The desired batch size for batch prediction (default 100). | default: [] |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | default: [] |
| output-debug-info | If set, classifier is run in debug mode and
may output additional info to the console | default: ["false"] |
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