OpenML
Weka implementation of MultiSearch
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Learner mlr.regr.cforest from package(s) party.
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Learner mlr.regr.ctree from package(s) party.
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Learner mlr.regr.earth from package(s) earth.
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Learner mlr.regr.fnn from package(s) FNN.
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Learner mlr.regr.gbm from package(s) gbm.
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Learner mlr.regr.glmnet from package(s) glmnet.
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Learner mlr.regr.km from package(s) DiceKriging.
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Learner mlr.regr.ksvm from package(s) kernlab.
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Learner mlr.regr.lm from package(s) stats.
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Learner mlr.regr.nnet from package(s) nnet.
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Learner mlr.regr.pcr from package(s) pls.
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Learner mlr.regr.penalized.lasso from package(s) !penalized.
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Learner mlr.regr.plsr from package(s) pls.
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Learner mlr.regr.randomForest from package(s) randomForest.
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Learner mlr.regr.rpart from package(s) rpart.
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Learner mlr.regr.rsm from package(s) rsm.
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Learner mlr.regr.rvm from package(s) kernlab.
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Weka implementation of FilteredClassifier
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Weka implementation of MultiSearch
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Learner mlr.regr.rvm from package(s) kernlab.
2684 runs0 likes0 downloads0 reach2684 impact
Learner mlr.regr.rsm from package(s) rsm.
2203 runs0 likes0 downloads0 reach2203 impact
Learner mlr.regr.rpart from package(s) rpart.
2970 runs0 likes0 downloads0 reach2970 impact
Learner mlr.regr.randomForest from package(s) randomForest.
2739 runs0 likes0 downloads0 reach2739 impact
Learner mlr.regr.penalized.ridge from package(s) !penalized.
2508 runs0 likes0 downloads0 reach2508 impact
Flow generated by run_task
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Learner mlr.classif.naiveBayes from package(s) e1071.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
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Learner mlr.classif.randomForest.preproc from package(s) randomForest.
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Learner mlr.classif.randomForest from package(s) randomForest.
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Learner mlr.classif.rpart.preproc.preproc from package(s) rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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Learner mlr.classif.kknn from package(s) !kknn.
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Learner mlr.classif.mlp.preproc.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp from package(s) RSNNS.
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flow for uploading results of the gridsearch for instrument *azure_two_class_boosted_decision_tree* on dataset *telescope*
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flow for uploading results of the gridsearch for instrument *azure_two_class_logistic_regression* on dataset *telescope*
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flow for uploading results of the gridsearch for instrument *azure_two_class_boosted_decision_tree* on dataset *telescope*
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Learner mlr.classif.PART.preproc.preproc from package(s) RWeka.
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Learner mlr.classif.PART.preproc from package(s) RWeka.
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Learner mlr.classif.PART from package(s) RWeka.
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Learner mlr.classif.svm.preproc from package(s) e1071.
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Learner mlr.classif.svm from package(s) e1071.
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flow for uploading results of the gridsearch for instrument *azure_two_class_logistic_regression*
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flow for uploading results of the gridsearch for instrument *azure_two_class_boosted_decision_tree*
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flow for uploading results of the gridsearch for instrument *azure_two_class_decision_forest*
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Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes from package(s) e1071.
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Learner mlr.classif.rpart.preproc.preproc from package(s) rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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Learner mlr.classif.kknn from package(s) !kknn.
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Learner mlr.classif.mlp.preproc.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp from package(s) RSNNS.
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Learner mlr.classif.PART.preproc from package(s) RWeka.
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Learner mlr.classif.PART from package(s) RWeka.
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Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes from package(s) e1071.
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Learner mlr.classif.rpart.preproc.preproc from package(s) rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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Learner mlr.classif.kknn from package(s) !kknn.
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Learner mlr.classif.mlp.preproc.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp from package(s) RSNNS.
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Learner mlr.classif.logreg.preproc.preproc from package(s) stats.
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Learner mlr.classif.logreg.preproc from package(s) stats.
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Learner mlr.classif.logreg from package(s) stats.
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Learner mlr.classif.svm.preproc.preproc from package(s) e1071.
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Learner mlr.classif.PART.preproc.preproc from package(s) RWeka.
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Learner mlr.classif.PART.preproc from package(s) RWeka.
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Learner mlr.classif.svm.preproc from package(s) e1071.
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Learner mlr.classif.PART from package(s) RWeka.
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Learner mlr.classif.svm from package(s) e1071.
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Learner mlr.classif.randomForest.preproc.preproc from package(s) randomForest.
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Learner mlr.classif.randomForest.preproc from package(s) randomForest.
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Learner mlr.classif.randomForest from package(s) randomForest.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.rpart from package(s) rpart.
39 runs0 likes0 downloads0 reach38 impact
Learner mlr.classif.randomForest from package(s) randomForest.
15 runs0 likes0 downloads0 reach1 impact
Learner mlr.classif.fnn.preproc.preproc from package(s) FNN.
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Learner mlr.classif.nnet.preproc.preproc from package(s) nnet.
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Learner mlr.classif.fnn.preproc from package(s) FNN.
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Learner mlr.classif.nnet from package(s) nnet.
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Learner mlr.classif.fnn from package(s) FNN.
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Learner mlr.classif.ada.preproc.preproc from package(s) ada.
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Learner mlr.classif.ada.preproc from package(s) ada.
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