| Issue | #Downvotes for this reason | By |
|---|
| W | weka.HoeffdingTree(4) | Full name of base classifier. (default: weka.classifiers.trees.J48) |
| S | weka.Ranker(3) | Full class name of search method, followed by its options. eg: "weka.attributeSelection.BestFirst -D 1" (default weka.attributeSelection.BestFirst) |
| E | weka.GainRatioAttributeEval(1) | Full class name of attribute evaluator, followed by its options. eg: "weka.attributeSelection.CfsSubsetEval -L" (default weka.attributeSelection.CfsSubsetEval) |
| -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) | |
| D | Output debugging info. | |
| E | Full class name of attribute evaluator, followed by its options. eg: "weka.attributeSelection.CfsSubsetEval -L" (default weka.attributeSelection.CfsSubsetEval) | default: weka.attributeSelection.GainRatioAttributeEval |
| 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 | Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) | |
| O | Do not collapse tree. | |
| P | The size of the thread pool, for example, the number of cores in the CPU. (default 1) | |
| Q | Seed for random data shuffling (default 1). | |
| R | Use reduced error pruning. | |
| S | Full class name of search method, followed by its options. eg: "weka.attributeSelection.BestFirst -D 1" (default weka.attributeSelection.BestFirst) | default: weka.attributeSelection.Ranker |
| U | Use unpruned tree. | |
| W | Full name of base classifier. (default: weka.classifiers.trees.J48) | default: weka.classifiers.trees.HoeffdingTree |
| Z | Precompute the full correlation matrix at the outset, rather than compute correlations lazily (as needed) during the search. Use this in conjuction with parallel processing in order to speed up a backward search. | |
| num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | |
| output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |
Severity: Core Warning
Message: Module 'mysqli' already loaded
Filename: Unknown
Line Number: 0
Backtrace: