| Issue | #Downvotes for this reason | By |
|---|
| -do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | default: ["false"] |
| -doNotMakeSplitPointActualValue | Do not make split point actual value. | default: ["false"] |
| A | The AIC is used to choose the best iteration. | default: ["false"] |
| B | Binary splits (convert nominal attributes to binary ones) | default: ["false"] |
| C | Use cross-validation for boosting at all nodes (i.e., disable heuristic) | default: ["false"] |
| I | Set fixed number of iterations for LogitBoost (instead of using cross-validation) | default: ["-1"] |
| M | Set minimum number of instances at which a node can be split (default 15) | default: ["15"] |
| P | Use error on probabilities instead of misclassification error for stopping criterion of LogitBoost. | default: ["false"] |
| R | Split on residuals instead of class values | default: ["false"] |
| W | Set beta for weight trimming for LogitBoost. Set to 0 (default) for no weight trimming. | default: ["0.0"] |
| 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"] |