OpenML
Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
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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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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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Oded Maron (1998). Learning from ambiguity. O. Maron, T. Lozano-Perez (1998). A Framework for Multiple Instance Learning. Neural Information Processing Systems. 10.
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Weka implementation of FilteredClassifier
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Weka implementation of FilteredClassifier
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A RapidMiner Workflow.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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A RapidMiner Workflow.
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implementation for uploading results of instrument *matrixnet* on dataset *MagicTelescope*
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Weka implementation of ZeroR
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Learner classif.randomForest from package(s) randomForest.
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Moa implementation of NaiveBayes
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Learner classif.rpart from package(s) rpart.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.randomForest from package(s) randomForest.
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Moa implementation of NaiveBayesMultinomial
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Learner classif.rpart from package(s) rpart.
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Learner classif.PART.bagged from package(s) RWeka.
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Learner classif.naiveBayes.bagged from package(s) e1071.
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Learner classif.J48.bagged from package(s) RWeka.
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Learner classif.naiveBayes.bagged from package(s) e1071.
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Moa implementation of StackingAttemptV2
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Moa implementation of StackingAttemptV2
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Weka implementation of AttributeSelectedClassifier
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Learner classif.knn from package(s) class.
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Moa implementation of BlastDecayed
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John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
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Learner classif.randomForest from package(s) randomForest.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of SimpleLinearRegression
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Weka implementation of AttributeSelectedClassifier
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one-versus-all C-SVM with Gaussian RBF kernel
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Learner classif.gbm from package(s) gbm.
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Learner classif.boosting from package(s) adabag, rpart.
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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.J48 from package(s) RWeka.
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Learner classif.svm from package(s) e1071.
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Learner classif.randomForest from package(s) randomForest.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.gbm from package(s) gbm.
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Learner classif.IBk from package(s) RWeka.
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Learner classif.ada from package(s) ada.
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Learner classif.svm from package(s) e1071.
148 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
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Learner classif.avNNet from package(s) nnet.
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Learner classif.boosting from package(s) adabag, rpart.
65 runs0 likes1 downloads1 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Flow generated by run_task
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Flow generated by run_task
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Flow generated by run_task
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Learner ModelMultiplexer from package(s) kernlab, randomForest.
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Learner classif.fnn from package(s) FNN.
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Learner classif.randomForestSRC from package(s) randomForestSRC.
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Learner classif.kknn from package(s) !kknn.
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Learner classif.fnn from package(s) FNN.
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Flow generated by run_task
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Flow generated by run_task
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Flow generated by run_task
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Flow generated by run_task
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Flow generated by run_task
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Flow generated by run_task
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Flow generated by run_task
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Flow generated by run_task
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Learner classif.randomForest from package(s) randomForest.
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Flow generated by run_task
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Moa implementation of OzaBagAdwin
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Moa implementation of LeveragingBag
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
153 runs0 likes1 downloads1 reach151 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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Weka implementation of MultiSearch
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Weka implementation of MultiSearch
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Weka implementation of ZeroR
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Learner mlr.classif.randomForest from package(s) randomForest.
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Learner mlr.classif.randomForest.filtered from package(s) randomForestSRC, randomForest.
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Learner mlr.classif.logreg from package(s) stats.
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Learner classif.J48 from package(s) RWeka.
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Weka implementation of AttributeSelectedClassifier
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Learner mlr.classif.randomForest from package(s) randomForest.
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Learner mlr.regr.rpart from package(s) rpart.
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Learner mlr.classif.randomForest.preproc from package(s) randomForest.
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Learner mlr.classif.randomForest.oversampled from package(s) mlr, randomForest.
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Learner mlr.classif.randomForest.tuned from package(s) randomForest.
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Weka implementation of AttributeSelectedClassifier
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Learner mlr.classif.randomForest.filtered.oversampled.tuned from package(s) mlr, randomForestSRC, randomForest.
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Learner mlr.classif.randomForest.filtered.oversampled.tuned from package(s) mlr, randomForestSRC, randomForest.
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Learner mlr.classif.randomForest.tuned from package(s) randomForest.
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Weka implementation of AttributeSelectedClassifier
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Learner mlr.classif.randomForest from package(s) randomForest.
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