OpenML
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21333 results
weka.MultiClassClassifier_RandomTree (1)
Weka implementation of MultiClassClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_NaiveBayesMultinomial (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
GenericClustering (1)
For testing
0 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_AttributeSelection_BestFirst_CfsSubsetEval_J48 (1)
Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_HoeffdingTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_BayesNet_HillClimber (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_WrapperSubsetEval_ZeroR_GreedyStepwise_Bagging_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.Stacking_CostSensitiveClassifier_ZeroR (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
4 runs0 likes1 downloads1 reach0 impact
weka.Bagging_CostSensitiveClassifier_ZeroR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_CostSensitiveClassifier_OneR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_SMO_PolyKernel (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
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.
1 runs0 likes1 downloads1 reach0 impact
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.
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_DecisionTable_BestFirst (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.CVParameterSelection_REPTree (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes1 downloads1 reach0 impact
weka.MultiClassClassifier_J48 (1)
Weka implementation of MultiClassClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.Stacking_BayesNet_HillClimber (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_RandomForest (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_Stacking_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
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…
1 runs0 likes1 downloads1 reach0 impact
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…
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LogitBoost_REPTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_Vote_ZeroR (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_RandomCommittee_RandomTree (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_RandomSubSpace_REPTree (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_MultilayerPerceptron (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
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.
1 runs0 likes1 downloads1 reach0 impact
weka.ZeroR (4)
Weka implementation of ZeroR
1 runs0 likes1 downloads1 reach0 impact
classif.lda (2)
Learner classif.lda from package(s) MASS.
2 runs0 likes1 downloads1 reach0 impact
weka.BayesNet_RepeatedHillClimber (3)
Weka implementation of BayesNet
20 runs0 likes1 downloads1 reach0 impact
weka.LADTree (3)
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
37 runs0 likes1 downloads1 reach0 impact
weka.IsolationForest (3)
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou: Isolation Forest. In: ICDM, 413-422, 2008.
2 runs0 likes1 downloads1 reach0 impact
weka.ADTree (3)
Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
10 runs0 likes1 downloads1 reach0 impact
weka.RBFNetwork (3)
Weka implementation of RBFNetwork
1 runs0 likes1 downloads1 reach0 impact
moa.DecisionStump (1)
Moa implementation of DecisionStump
109 runs0 likes1 downloads1 reach0 impact
moa.WEKAClassifier_JRip (1)
Moa implementation of WEKAClassifier
116 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree (1)
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR (1)
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier (1)
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_J48 (1)
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip (1)
Moa implementation of AccuracyWeightedEnsemble
174 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_PolyKernel (1)
Moa implementation of AccuracyWeightedEnsemble
188 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_SPegasos (1)
Moa implementation of LeveragingBag
166 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_SGD (1)
Moa implementation of LeveragingBag
166 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_FIMTDD (1)
Moa implementation of LeveragingBag
105 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic (1)
Moa implementation of AccuracyWeightedEnsemble
143 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_Perceptron (1)
Moa implementation of LeveragingBag
49 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_DecisionStump (1)
Moa implementation of LeveragingBag
29 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel (1)
Moa implementation of AccuracyWeightedEnsemble
87 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_NaiveBayes (1)
Moa implementation of LeveragingBag
168 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_VotedPerceptron (1)
Moa implementation of AccuracyWeightedEnsemble
47 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_LMT (1)
Moa implementation of AccuracyWeightedEnsemble
78 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_IBk (1)
Moa implementation of AccuracyWeightedEnsemble
31 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_MultiFilter_ReplaceMissingValues_NaiveBayes (2)
Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.K2 (5)
G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases. G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic…
0 runs0 likes1 downloads1 reach0 impact
weka.Dagging_DecisionStump (3)
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
1131 runs0 likes1 downloads1 reach0 impact
weka.Decorate (2)
P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P.…
1082 runs0 likes1 downloads1 reach0 impact
weka.END_ND_J48 (3)
Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
1130 runs0 likes1 downloads1 reach0 impact
weka.ND_J48 (3)
Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
0 runs0 likes1 downloads1 reach0 impact
weka.Grading_ZeroR (2)
A.K. Seewald, J. Fuernkranz: An Evaluation of Grading Classifiers. In: Advances in Intelligent Data Analysis: 4th International Conference, Berlin/Heidelberg/New York/Tokyo, 115-124, 2001.
1139 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_DecisionStump (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
5696 runs0 likes1 downloads1 reach0 impact
weka.RacedIncrementalLogitBoost_DecisionStump (3)
Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
1135 runs0 likes1 downloads1 reach0 impact
weka.RealAdaBoost_DecisionStump (2)
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
4077 runs0 likes1 downloads1 reach0 impact
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.
1 runs0 likes1 downloads1 reach0 impact
R.3.1.2.regress.svm (2)
The performanceEstimation standardWF using svm as the learner
21 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_LinearRegression (1)
Moa implementation of AccuracyWeightedEnsemble
27 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_Winnow (1)
Moa implementation of AccuracyWeightedEnsemble
1 runs0 likes1 downloads1 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_Ridor (1)
Moa implementation of AccuracyWeightedEnsemble
1 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.rpart (1)
The performanceEstimation standardWF using rpart as the learner
2 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.svm (4)
The performanceEstimation standardWF using svm as the learner
59 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.randomForest (1)
The performanceEstimation standardWF using randomForest as the learner
2 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.bagging (1)
The performanceEstimation standardWF using bagging as the learner
1 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.boosting (1)
The performanceEstimation standardWF using boosting as the learner
1 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.nnet (1)
The performanceEstimation standardWF using nnet as the learner
1 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.qda (1)
The performanceEstimation standardWF using qda as the learner
0 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.kNN (1)
The performanceEstimation standardWF using kNN as the learner
3 runs0 likes1 downloads1 reach0 impact
weka.Bagging_REPTree (9)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
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…
1 runs0 likes1 downloads1 reach0 impact
classif.binomial (1)
Learner classif.binomial from package(s) stats.
3 runs0 likes1 downloads1 reach0 impact
good_name (8)
Please take some time and write a description of your algorithm/changes compared with the previous version/etc. here.
1 runs0 likes1 downloads1 reach0 impact
moa.OzaBag_NaiveBayes (1)
Moa implementation of OzaBag
72 runs0 likes1 downloads1 reach0 impact
classif.randomForest (2)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
weka.RandomForest (6)
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
0 runs0 likes1 downloads1 reach0 impact
classif.rpart (5)
Learner classif.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 impact
classif.sda.tuned (2)
Learner classif.sda.tuned from package(s) sda.
1 runs0 likes1 downloads1 reach0 impact
classif.sda.tuned (3)
Learner classif.sda.tuned from package(s) sda.
1 runs0 likes1 downloads1 reach0 impact
classif.sda.tuned (4)
Learner classif.sda.tuned from package(s) sda.
2 runs0 likes1 downloads1 reach0 impact
classif.sda.tuned (5)
Learner classif.sda.tuned from package(s) sda.
6 runs0 likes1 downloads1 reach0 impact
classif.sda.tuned (8)
Learner classif.sda.tuned from package(s) sda.
15 runs0 likes1 downloads1 reach0 impact
classif.randomForest (11)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
classif.randomForest (13)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach1 impact
weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
4 runs0 likes1 downloads1 reach0 impact
classif.randomForest (14)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
classif.rpart (16)
Learner classif.rpart from package(s) rpart.
4 runs0 likes1 downloads1 reach0 impact
classif.logreg (2)
Learner classif.logreg from package(s) stats.
7 runs0 likes1 downloads1 reach0 impact
classif.randomForest (19)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (20)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
classif.rpart (21)
Learner classif.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 impact
classif.randomForest (21)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact