weka.classifiers.trees.RandomTree
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Uploaded 08-06-2021 by
Bailey Guerrero
Weka_3.9.5
1 runs
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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"] |
| B | Break ties randomly when several attributes look equally good. | default: ["false"] |
| K | Number of attributes to randomly investigate. (default 0)
(<1 = int(log_2(#predictors)+1)). | default: ["0"] |
| M | Set minimum number of instances per leaf.
(default 1) | default: ["1.0"] |
| N | Number of folds for backfitting (default 0, no backfitting). | default: [] |
| S | Seed for random number generator.
(default 1) | default: ["1"] |
| U | Allow unclassified instances. | default: ["false"] |
| 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: [] |
| depth | The maximum depth of the tree, 0 for unlimited.
(default 0) | 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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