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…
26 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…
26 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…
26 runs0 likes0 downloads0 reach0 impact
Learner classif.JRip from package(s) RWeka.
25 runs0 likes1 downloads1 reach0 impact
Please use the mlr add-on code and devel partykit package revision 1034:
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Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
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Weka implementation of BayesNet
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Weka implementation of ClassificationViaClustering
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Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
25 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
25 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…
25 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…
25 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…
25 runs0 likes0 downloads0 reach0 impact
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
24 runs0 likes0 downloads0 reach0 impact
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
24 runs0 likes0 downloads0 reach0 impact
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
24 runs0 likes0 downloads0 reach0 impact
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/master/rstuff/openml_newctree/new_ctree_mlr.R and devel partykit package revision 1118:…
24 runs0 likes0 downloads0 reach0 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
24 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
24 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
24 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
24 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
24 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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HubMiner implementation of HIKNN
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HubMiner implementation of HwKNN
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HubMiner implementation of KNN
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HubMiner implementation of NHBNN
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HubMiner implementation of HFNN
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HubMiner implementation of DWHFNN
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HubMiner implementation of CBWkNN
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HubMiner implementation of NWKNN
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HubMiner implementation of AKNN
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HubMiner implementation of ANHBNN
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Automatically created scikit-learn flow.
24 runs0 likes0 downloads0 reach24 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…
24 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…
24 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…
24 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…
24 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…
24 runs0 likes0 downloads0 reach0 impact
Learner classif.rpart from package(s) rpart.
23 runs0 likes1 downloads1 reach23 impact
Learner classif.avNNet from package(s) nnet.
23 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
23 runs0 likes1 downloads1 reach0 impact
Learner classif.multinom from package(s) nnet.
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Learner mlr.classif.ranger from package(s) ranger.
23 runs0 likes0 downloads0 reach0 impact
Automatically created sub-component.
23 runs0 likes0 downloads0 reach22 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
23 runs0 likes1 downloads1 reach0 impact
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
23 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…
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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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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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
23 runs0 likes1 downloads1 reach0 impact
J. Cendrowska (1987). PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies. 27(4):349-370.
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Just a 48Bagging workflow done with the KF.
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Automatically created scikit-learn flow.
23 runs0 likes0 downloads0 reach22 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…
23 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…
23 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…
23 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…
23 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…
23 runs0 likes0 downloads0 reach0 impact
Learner classif.nnet from package(s) nnet.
22 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.rpart.bagged from package(s) rpart.
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Weka implementation of REPTree
22 runs0 likes0 downloads0 reach9 impact
Automatically created sub-component.
22 runs0 likes0 downloads0 reach21 impact
Learner mlr.classif.qda.preproc from package(s) MASS.
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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.
22 runs0 likes0 downloads0 reach18 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…
22 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
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Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou: Isolation Forest. In: ICDM, 413-422, 2008.
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Weka implementation of AttributeSelectedClassifier
22 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
22 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
22 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
22 runs0 likes0 downloads0 reach2 impact
Automatically created scikit-learn flow.
22 runs0 likes0 downloads0 reach4 impact
Weka implementation of MultiSearch
22 runs0 likes0 downloads0 reach21 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
22 runs0 likes0 downloads0 reach16 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.…
22 runs0 likes0 downloads0 reach12 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
22 runs0 likes1 downloads1 reach0 impact
Classifier implementing the k-nearest neighbors vote.
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
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
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
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