| Issue | #Downvotes for this reason | By |
|---|
| W | weka.MultilayerPerceptron(1) | Full name of base classifier. (default: weka.classifiers.trees.J48) |
| F | weka.PrincipalComponents(1) | Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.PrincipalComponents-R 1.0" |
| A | Laplace smoothing for predicted probabilities. | |
| B | Use binary splits only. | |
| C | Set confidence threshold for pruning. (default 0.25) | |
| D | If set, classifier is run in debug mode and may output additional info to the console | |
| 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 |
| 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. (default 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.functions.MultilayerPerceptron |
| num-slots | Number of execution slots. (default 1 - i.e. no parallelism) | default: 1 |