OpenML
Weka implementation of CostSensitiveClassifier
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example implementation description
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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.
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Learner classif.naiveBayes from package(s) e1071.
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Learner classif.neuralnet from package(s) neuralnet.
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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.J48 from package(s) RWeka.
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Learner classif.JRip from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
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Learner classif.bdk from package(s) kohonen.
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of AttributeSelectedClassifier
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of AttributeSelectedClassifier
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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.
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Learner classif.randomForest from package(s) randomForest.
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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.
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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.
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Learner classif.ksvm from package(s) kernlab.
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Learner classif.lda from package(s) MASS.
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Learner classif.logreg from package(s) stats.
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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.
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Learner classif.naiveBayes from package(s) e1071.
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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.
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Learner classif.rotationForest from package(s) rotationForest.
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Learner classif.saeDNN from package(s) deepnet.
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Learner classif.sda from package(s) sda.
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Learner classif.svm from package(s) e1071.
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Learner classif.xgboost from package(s) xgboost.
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Learner classif.xyf from package(s) kohonen.
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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,…
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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,…
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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,…
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Weka implementation of RBFKernel
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Weka implementation of HMM
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Weka implementation of FilteredClassifier
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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…
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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…
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Weka implementation of BayesNet
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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
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Weka implementation of KernelLogisticRegression
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Weka implementation of RBFNetwork
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S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
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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…
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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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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.
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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.
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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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Weka implementation of HyperPipes
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Weka implementation of Ridor
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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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Jens Christian Huehn, Eyke Huellermeier (2009). FURIA: An Algorithm for Unordered Fuzzy Rule Induction. Data Mining and Knowledge Discovery..
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Mark Hall, Eibe Frank: Combining Naive Bayes and Decision Tables. In: Proceedings of the 21st Florida Artificial Intelligence Society Conference (FLAIRS), 318-319, 2008.
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Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
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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.
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