Weka 3.7 Classifier
Source Nodes
- A1DE (3.7)
- A1DEUpdateable (3.7)
- A2DE (3.7)
- A2DEUpdateable (3.7)
- AdaBoostM1 (3.7)
- AdditiveRegression (3.7)
- AttributeSelectedClassifier (3.7)
- Bagging (3.7)
- BayesianLogisticRegression (3.7)
- BayesNet (3.7)
- BayesNetGenerator (3.7)
- BFTree (3.7)
- BIFReader (3.7)
- Call Workflow Service
Call Workflow Service- Capture Workflow End
- Capture Workflow Start
- CASE Switch End
- CHIRP (3.7)
- ClassBalancedND (3.7)
- ClassificationViaClustering (3.7)
- ClassificationViaRegression (3.7)
- ComplementNaiveBayes (3.7)
- ConjunctiveRule (3.7)
- CostSensitiveClassifier (3.7)
- Counting Loop Start
- CVParameterSelection (3.7)
- Dagging (3.7)
- DataNearBalancedND (3.7)
- DecisionStump (3.7)
- DecisionTable (3.7)
- Decorate (3.7)
- DMNBtext (3.7)
- DTNB (3.7)
- EditableBayesNet (3.7)
- END (3.7)
- EnsembleSelection (3.7)
- FilteredClassifier (3.7)
- FLR (3.7)
- FT (3.7)
- FURIA (3.7)
- GaussianProcesses (3.7)
- Generic Loop Start
- Grading (3.7)
- HNB (3.7)
- HoeffdingTree (3.7)
- HyperPipes (3.7)
- IB1 (3.7)
- IBk (3.7)
- Id3 (3.7)
- InputMappedClassifier (3.7)
- Interval Loop Start
- IsolationForest (3.7)
- IsotonicRegression (3.7)
- J48 (3.7)
- J48graft (3.7)
- JCBA (3.7)
- JRip (3.7)
- KernelLogisticRegression (3.7)
- KStar (3.7)
- LAC (3.7)
- LBR (3.7)
- LibLINEAR (3.7)
- LibSVM (3.7)
- LinearRegression (3.7)
- LMT (3.7)
- Logistic (3.7)
- LogisticBase (3.7)
- LogitBoost (3.7)
- LWL (3.7)
- M5P (3.7)
- M5Rules (3.7)
- MultiBoostAB (3.7)
- MultiClassClassifier (3.7)
- MultiClassClassifierUpdateable (3.7)
- MultilayerPerceptron (3.7)
- MultiScheme (3.7)
- NaiveBayes (3.7)
- NaiveBayesMultinomial (3.7)
- NaiveBayesMultinomialText (3.7)
- NaiveBayesMultinomialUpdateable (3.7)
- NaiveBayesSimple (3.7)
- NaiveBayesUpdateable (3.7)
- NBTree (3.7)
- ND (3.7)
- NNge (3.7)
- OLM (3.7)
- OneClassClassifier (3.7)
- OneR (3.7)
- OrdinalClassClassifier (3.7)
- OSDL (3.7)
- PaceRegression (3.7)
- PART (3.7)
- Prism (3.7)
- RacedIncrementalLogitBoost (3.7)
- RandomCommittee (3.7)
- RandomForest (3.7)
- RandomSubSpace (3.7)
- RandomTree (3.7)
- RBFClassifier (3.7)
- RBFNetwork (3.7)
- RBFRegressor (3.7)
- RealAdaBoost (3.7)
- RegressionByDiscretization (3.7)
- REPTree (3.7)
- Ridor (3.7)
- RotationForest (3.7)
- SerializedClassifier (3.7)
- SGD (3.7)
- SGDText (3.7)
- SimpleCart (3.7)
- SimpleLinearRegression (3.7)
- SimpleLogistic (3.7)
- SMO (3.7)
- SMOreg (3.7)
- SparseGenerativeModel (3.7)
- SPegasos (3.7)
- Stacking (3.7)
- StackingC (3.7)
- ThresholdSelector (3.7)
- Variable Filter
- VFI (3.7)
- Vote (3.7)
- VotedPerceptron (3.7)
- WeightedClassifier (3.7)
- Weka Classifier Reader (3.7)
Weka Classifier Reader (3.7)- Winnow (3.7)
- Workflow Executor
- Workflow Input
- Workflow Output
- ZeroR (3.7)