| Issue | #Downvotes for this reason | By |
|---|
| A | noAnomalyDetection: Disable anomaly Detection. | default: false |
| H | DoNotDetectChanges: Drift Detection. Page-Hinkley. | default: false |
| P | predictionFunctionOption: The prediction function to use. | default: Adaptative |
| U | setUnorderedRulesOn: unorderedRules. | default: false |
| V | votingType: Voting Type. | default: InverseErrorWeightedVote |
| a | pageHinckleyAlpha: The alpha value to use in the Page Hinckley change detection tests. | default: 0.005 |
| c | splitConfidence: Hoeffding Bound Parameter. The allowable error in split decision, values closer to 0 will take longer to decide. | default: 1.0E-7 |
| d | learningRatio_Decay_set_constant: Learning Ratio Decay in Perceptron set to be constant. (The next parameter). | default: false |
| g | gracePeriod: Hoeffding Bound Parameter. The number of instances a leaf should observe between split attempts. | default: 200 |
| l | pageHinckleyThreshold: The threshold value (Lambda) to be used in the Page Hinckley change detection tests. | default: 35 |
| m | multivariateAnomalyProbabilityThresholdd: Multivariate anomaly threshold value. | default: 0.99 |
| n | anomalyThreshold: The threshold value of anomalies to be used in the anomaly detection. | default: 30 |
| r | randomSeed: Seed for random behaviour of the classifier. | default: 1 |
| s | learningRatio: Constante Learning Ratio to use for training the Perceptrons in the leaves. | default: 0.025 |
| t | tieThreshold: Hoeffding Bound Parameter. Threshold below which a split will be forced to break ties. | default: 0.05 |
| u | univariateAnomalyprobabilityThreshold: Univariate anomaly threshold value. | default: 0.1 |
| v | verbosity: Output Verbosity Control Level. 1 (Less) to 5 (More) | default: 1 |
| z | numericObserver: Numeric observer. | default: FIMTDDNumericAttributeClassLimitObserver |