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weka.ConjunctiveRule (2)
Weka implementation of ConjunctiveRule
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DTNB (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_GaussianProcesses_PolyKernel (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HNB (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IBk (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IsolationForest (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_IsotonicRegression (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_KStar (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LADTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LBR (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LeastMedSq (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LinearRegression (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LMT (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LWL_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_M5P (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_M5Rules (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MODLEM (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultiBoostAB_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NaiveBayes (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NBTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NNge (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_OLM (2)
Weka implementation of AttributeSelectedClassifier
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weka.OLM (2)
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_OneR (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_PaceRegression (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_PART (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_PLSClassifier_PLSFilter (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RBFClassifier (2)
Weka implementation of AttributeSelectedClassifier
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weka.RBFClassifier (2)
Weka implementation of RBFClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RBFNetwork (2)
Weka implementation of AttributeSelectedClassifier
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weka.RBFNetwork (2)
Weka implementation of RBFNetwork
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RotationForest_PrincipalComponents_J48 (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SMO_PolyKernel (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SPegasos (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_VotedPerceptron (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Winnow (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_ZeroR (2)
Weka implementation of AttributeSelectedClassifier
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weka.Bagging_HNB (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.Bagging_LinearRegression (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.BayesNet_LAGDHillClimber (2)
Weka implementation of BayesNet
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weka.BayesNet_RepeatedHillClimber (2)
Weka implementation of BayesNet
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weka.BayesNet_SimulatedAnnealing (2)
Weka implementation of BayesNet
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weka.BayesNet_TabuSearch (2)
Weka implementation of BayesNet
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weka.BayesNet_TAN (2)
Weka implementation of BayesNet
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weka.LWL_SMO_PolyKernel (2)
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
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weka.LWL_IBk (2)
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
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weka.FilteredClassifier_AttributeSelection_Ranker_PrincipalComponents_NaiveBayes (1)
Weka implementation of FilteredClassifier
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weka.MultiClassClassifier_Logistic (2)
Weka implementation of MultiClassClassifier
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weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
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weka.MultiClassClassifier_RandomTree (1)
Weka implementation of MultiClassClassifier
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weka.CostSensitiveClassifier_NaiveBayesMultinomial (1)
Weka implementation of CostSensitiveClassifier
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weka.FilteredClassifier_AttributeSelection_BestFirst_CfsSubsetEval_J48 (1)
Weka implementation of FilteredClassifier
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weka.Bagging_HoeffdingTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.Bagging_BayesNet_HillClimber (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.AttributeSelectedClassifier_WrapperSubsetEval_ZeroR_GreedyStepwise_Bagging_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
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weka.Bagging_CostSensitiveClassifier_ZeroR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.Bagging_SMO_PolyKernel (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.NaiveBayesMultinomial (3)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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weka.AdaBoostM1_BayesNet_K2 (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.CostSensitiveClassifier_DecisionTable_BestFirst (1)
Weka implementation of CostSensitiveClassifier
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weka.CVParameterSelection_REPTree (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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weka.MultiClassClassifier_J48 (1)
Weka implementation of MultiClassClassifier
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weka.Stacking_BayesNet_HillClimber (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging (1)
Weka implementation of CostSensitiveClassifier
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weka.Vote_Bagging_REPTree (1)
Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE…
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weka.Vote_RandomTree (1)
Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE…
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weka.CostSensitiveClassifier_Vote_ZeroR (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_RandomCommittee_RandomTree (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_RandomSubSpace_REPTree (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_MultilayerPerceptron (1)
Weka implementation of CostSensitiveClassifier
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weka.NaiveBayesUpdateable (6)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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weka.ZeroR (4)
Weka implementation of ZeroR
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weka.RBFNetwork (3)
Weka implementation of RBFNetwork
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weka.FilteredClassifier_MultiFilter_ReplaceMissingValues_NaiveBayes (2)
Weka implementation of FilteredClassifier
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weka.MODLEM (3)
Jerzy Stefanowski: The rough set based rule induction technique for classification problems. In: 6th European Congress on Intelligent Techniques and Soft Computing, 109-113, 1998.
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R.3.1.2.regress.svm (1)
The performanceEstimation standardWF using svm as the learner
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moa.AccuracyWeightedEnsemble_WEKAClassifier_Winnow (1)
Moa implementation of AccuracyWeightedEnsemble
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moa.AccuracyWeightedEnsemble_WEKAClassifier_Ridor (1)
Moa implementation of AccuracyWeightedEnsemble
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R.3.1.2.classif.bagging (1)
The performanceEstimation standardWF using bagging as the learner
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R.3.1.2.classif.boosting (1)
The performanceEstimation standardWF using boosting as the learner
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R.3.1.2.classif.nnet (1)
The performanceEstimation standardWF using nnet as the learner
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weka.Bagging_REPTree (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.LibSVM (3)
Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
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good_name (8)
Please take some time and write a description of your algorithm/changes compared with the previous version/etc. here.
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classif.rpart (5)
Learner classif.rpart from package(s) rpart.
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classif.sda.tuned (2)
Learner classif.sda.tuned from package(s) sda.
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classif.sda.tuned (3)
Learner classif.sda.tuned from package(s) sda.
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classif.randomForest (11)
Learner classif.randomForest from package(s) randomForest.
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classif.randomForest (13)
Learner classif.randomForest from package(s) randomForest.
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classif.randomForest (14)
Learner classif.randomForest from package(s) randomForest.
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classif.randomForest (20)
Learner classif.randomForest from package(s) randomForest.
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classif.rpart (21)
Learner classif.rpart from package(s) rpart.
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