OpenML
Moa implementation of OzaBag
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Moa implementation of HoeffdingTree
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Moa implementation of BLAST
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Moa implementation of WeightedEnsemble
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Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.OneR from package(s) RWeka.
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Learner classif.PART from package(s) RWeka.
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Learner classif.ada from package(s) ada.
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Learner classif.avNNet from package(s) nnet.
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Learner classif.bartMachine from package(s) bartMachine.
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Learner classif.bdk from package(s) kohonen.
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Learner classif.binomial from package(s) stats.
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Learner classif.boosting from package(s) adabag, rpart.
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Learner classif.cforest from package(s) party.
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Learner classif.ctree from package(s) party.
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Learner classif.dbnDNN from package(s) deepnet.
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Learner classif.extraTrees from package(s) extraTrees.
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Learner classif.gbm from package(s) gbm.
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Learner classif.hdrda from package(s) sparsediscrim.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.ksvm from package(s) kernlab.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.lda from package(s) MASS.
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Learner classif.logreg from package(s) stats.
10 runs0 likes1 downloads1 reach0 impact
Learner classif.lqa from package(s) lqa.
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Learner classif.mlp from package(s) RSNNS.
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Learner classif.multinom from package(s) nnet.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.neuralnet from package(s) neuralnet.
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Learner classif.nnTrain from package(s) deepnet.
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Learner classif.nnet from package(s) nnet.
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Learner classif.nodeHarvest from package(s) nodeHarvest.
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Learner classif.pamr from package(s) pamr.
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Learner classif.plr from package(s) stepPlr.
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Learner classif.plsdaCaret from package(s) caret.
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Learner classif.probit from package(s) stats.
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Learner classif.qda from package(s) MASS.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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Learner classif.ranger from package(s) ranger.
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Learner classif.rda from package(s) klaR.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.rotationForest from package(s) rotationForest.
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Learner classif.saeDNN from package(s) deepnet.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.sda from package(s) sda.
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Learner classif.svm from package(s) e1071.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.xgboost from package(s) xgboost.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.xyf from package(s) kohonen.
5 runs0 likes1 downloads1 reach0 impact
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
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J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
400 runs0 likes3 downloads3 reach361 impact
Weka implementation of RBFKernel
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Weka implementation of HMM
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Weka implementation of FilteredClassifier
39 runs0 likes2 downloads2 reach1 impact
Weka implementation of ReplaceMissingValues
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
145 runs0 likes2 downloads2 reach4 impact
Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
50 runs0 likes2 downloads2 reach1 impact
Weka implementation of BayesNet
39 runs0 likes1 downloads1 reach0 impact
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…
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Weka implementation of KernelLogisticRegression
108 runs0 likes2 downloads2 reach26 impact
Weka implementation of KernelLogisticRegression
90 runs0 likes2 downloads2 reach33 impact
Weka implementation of RBFNetwork
240 runs0 likes2 downloads2 reach37 impact
S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
210 runs0 likes2 downloads2 reach58 impact
N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic…
46 runs0 likes2 downloads2 reach37 impact
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
206 runs0 likes2 downloads2 reach39 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2 runs0 likes1 downloads1 reach2 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of MultiClassClassifierUpdateable
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Weka implementation of AttributeSelectedClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes1 downloads1 reach1 impact
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…
1553 runs0 likes3 downloads3 reach18 impact
Weka implementation of HyperPipes
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Weka implementation of Ridor
258 runs0 likes2 downloads2 reach37 impact
Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
272 runs0 likes3 downloads3 reach3 impact
Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
270 runs0 likes2 downloads2 reach35 impact
Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
176 runs0 likes2 downloads2 reach31 impact
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
41 runs0 likes4 downloads4 reach30 impact
Weka implementation of ConjunctiveRule
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Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
257 runs0 likes2 downloads2 reach14 impact
Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
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Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
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Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of…
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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.
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Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
298 runs0 likes2 downloads2 reach31 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
268 runs0 likes2 downloads2 reach55 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes2 downloads2 reach37 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
185 runs0 likes2 downloads2 reach9 impact
Weka implementation of CostSensitiveClassifier
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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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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
11 runs0 likes2 downloads2 reach10 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
363 runs0 likes2 downloads2 reach363 impact
Weka implementation of MultiScheme
126 runs0 likes1 downloads1 reach125 impact
Weka implementation of CostSensitiveClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of MultiScheme
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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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
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact