OpenML
Weka implementation of CostSensitiveClassifier
12 runs0 likes0 downloads0 reach12 impact
Learner classif.OneR from package(s) RWeka.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.PART from package(s) RWeka.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.cforest from package(s) party.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.ctree from package(s) party.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.gbm from package(s) gbm.
12 runs0 likes1 downloads1 reach0 impact
implementation for uploading results of instrument *matrixnet* on dataset *MagicTelescope*
12 runs0 likes1 downloads1 reach0 impact
Flow generated by openml_run
12 runs0 likes5 downloads5 reach8 impact
Learner classif.boosting from package(s) adabag, rpart.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.nodeHarvest from package(s) nodeHarvest.
12 runs0 likes1 downloads1 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
12 runs0 likes0 downloads0 reach12 impact
Weka implementation of CostSensitiveClassifier
12 runs0 likes0 downloads0 reach10 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
12 runs0 likes0 downloads0 reach11 impact
Weka implementation of FilteredClassifier
12 runs0 likes0 downloads0 reach0 impact
Weka implementation of PLSClassifier
12 runs0 likes1 downloads1 reach0 impact
Weka implementation of RBFNetwork
12 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
12 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
12 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
12 runs0 likes4 downloads4 reach8 impact
Weka implementation of BayesNet
12 runs0 likes0 downloads0 reach11 impact
Weka implementation of AttributeSelectedClassifier
12 runs0 likes0 downloads0 reach12 impact
Weka implementation of FilteredClassifier
12 runs0 likes0 downloads0 reach12 impact
Learner mlr.classif.qda from package(s) MASS.
12 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.gbm.imputed.preproc from package(s) gbm.
12 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.boosting.imputed.preproc from package(s) adabag, rpart.
12 runs0 likes0 downloads0 reach0 impact
Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
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William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
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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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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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Automatically created scikit-learn flow.
12 runs0 likes0 downloads0 reach11 impact
Automatically created scikit-learn flow.
12 runs0 likes0 downloads0 reach12 impact
Learner classif.hdrda from package(s) sparsediscrim.
12 runs0 likes1 downloads1 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
12 runs0 likes0 downloads0 reach0 impact
Learner classif.randomForest from package(s) randomForest.
11 runs0 likes1 downloads1 reach11 impact
Learner classif.gbm from package(s) gbm.
11 runs0 likes2 downloads2 reach0 impact
Learner classif.boosting from package(s) adabag, rpart.
11 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.
11 runs0 likes1 downloads1 reach0 impact
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.nnet from package(s) nnet.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.qda from package(s) MASS.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForestSRC from package(s) randomForestSRC.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.ranger from package(s) ranger.
11 runs0 likes1 downloads1 reach0 impact
Learner classif.rda from package(s) klaR.
11 runs0 likes1 downloads1 reach0 impact
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
Weka implementation of CostSensitiveClassifier
11 runs0 likes2 downloads2 reach10 impact
Learner classif.extraTrees from package(s) extraTrees.
11 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
11 runs0 likes0 downloads0 reach0 impact
Automatically created sub-component.
11 runs0 likes0 downloads0 reach1 impact
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
11 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
11 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
11 runs0 likes0 downloads0 reach11 impact
Weka implementation of RandomizableFilteredClassifier
11 runs0 likes0 downloads0 reach7 impact
Weka implementation of CostSensitiveClassifier
11 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultilayerPerceptron
11 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
11 runs0 likes0 downloads0 reach10 impact
Automatically created scikit-learn flow.
11 runs0 likes0 downloads0 reach2 impact
Learner mlr.classif.ctree.imputed.preproc from package(s) party.
11 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.featureless.imputed.preproc from package(s) mlr.
11 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
11 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.cforest from package(s) party.
11 runs0 likes0 downloads0 reach0 impact
Automatically created keras flow.
11 runs0 likes0 downloads0 reach8 impact
Learner classif.cforest from package(s) party.
11 runs0 likes1 downloads1 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
11 runs0 likes0 downloads0 reach0 impact