OpenML
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…
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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…
22 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…
22 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…
22 runs0 likes0 downloads0 reach0 impact
The performanceEstimation standardWF using svm as the learner
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Weka implementation of CostSensitiveClassifier
21 runs0 likes0 downloads0 reach21 impact
Flow generated by openml_run
21 runs0 likes6 downloads6 reach17 impact
Flow generated by run_task
21 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForestSRCSyn from package(s) randomForestSRC.
21 runs0 likes1 downloads1 reach0 impact
Learner classif.cforest from package(s) party.
21 runs0 likes1 downloads1 reach0 impact
Learner classif.lda from package(s) MASS.
21 runs0 likes1 downloads1 reach0 impact
Learner classif.bdk from package(s) kohonen.
21 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
21 runs0 likes0 downloads0 reach5 impact
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.
21 runs0 likes1 downloads1 reach0 impact
Weka implementation of BayesNet
21 runs0 likes1 downloads1 reach0 impact
Weka implementation of BayesNet
21 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
21 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
21 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
21 runs0 likes1 downloads1 reach0 impact
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
21 runs0 likes1 downloads1 reach0 impact
Weka implementation of RandomizableFilteredClassifier
21 runs0 likes0 downloads0 reach5 impact
Automatically created scikit-learn flow.
21 runs0 likes0 downloads0 reach17 impact
Automatically created scikit-learn flow.
21 runs0 likes0 downloads0 reach3 impact
Automatically created scikit-learn flow.
21 runs0 likes0 downloads0 reach21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 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…
21 runs0 likes0 downloads0 reach0 impact
Learner classif.OneR from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.PART from package(s) RWeka.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.lda from package(s) MASS.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.dbnDNN from package(s) deepnet.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.mlp from package(s) RSNNS.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.saeDNN from package(s) deepnet.
20 runs0 likes1 downloads1 reach0 impact
Learner classif.xyf from package(s) kohonen.
20 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.ranger from package(s) ranger.
20 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.bagged from package(s) rpart.
20 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.J48.bagged from package(s) RWeka.
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Learner mlr.classif.ctree.bagged from package(s) party.
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Learner mlr.classif.J48.bagged from package(s) RWeka.
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Learner mlr.classif.ctree.bagged from package(s) party.
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Weka implementation of CostSensitiveClassifier
20 runs0 likes0 downloads0 reach18 impact
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/95fb76a6c6c645dc5915754b739f2c00b12df542/rstuff/openml_ctree.R and devel partykit package revision 1034:…
20 runs0 likes0 downloads0 reach0 impact
Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
20 runs0 likes1 downloads1 reach0 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
20 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
20 runs0 likes1 downloads1 reach0 impact
Weka implementation of Ridor
20 runs0 likes1 downloads1 reach0 impact
Weka implementation of BayesNet
20 runs0 likes1 downloads1 reach0 impact
Moa implementation of LeveragingBag
20 runs0 likes2 downloads2 reach1 impact
Automatically created scikit-learn flow.
20 runs0 likes0 downloads0 reach20 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…
20 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…
20 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…
20 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…
20 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…
20 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…
20 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…
20 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…
20 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…
20 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
19 runs0 likes1 downloads1 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
19 runs0 likes0 downloads0 reach18 impact
Weka implementation of FilteredClassifier
19 runs0 likes0 downloads0 reach0 impact
Weka implementation of BayesNet
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of BayesNet
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of RBFClassifier
19 runs0 likes1 downloads1 reach0 impact
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
19 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
19 runs0 likes1 downloads1 reach0 impact
Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
19 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
19 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.evtree.imputed.preproc from package(s) evtree.
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Weka implementation of FilteredClassifier
19 runs0 likes0 downloads0 reach5 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…
19 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…
19 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…
19 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…
19 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…
19 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…
19 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…
19 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…
19 runs0 likes0 downloads0 reach0 impact