OpenML
A flow using multilayerperceptron for the POC.
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A flow using naivebayes for the POC.
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A flow using randomforest for the POC.
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A flow using decisionStump & AdaBOOST for the POC.
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A flow using iBK for the POC.
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Automatically created scikit-learn flow.
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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…
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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…
15 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…
15 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…
15 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…
15 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…
15 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…
15 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…
15 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…
15 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…
15 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…
15 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…
15 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
14 runs0 likes0 downloads0 reach14 impact
Flow generated by run_task
14 runs0 likes3 downloads3 reach11 impact
Learner classif.blackboost from package(s) mboost, party.
14 runs0 likes1 downloads1 reach0 impact
Learner classif.logreg from package(s) stats.
14 runs0 likes1 downloads1 reach0 impact
Learner classif.plr from package(s) stepPlr.
14 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
14 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
14 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
14 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
14 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
14 runs0 likes0 downloads0 reach14 impact
Automatically created scikit-learn flow.
14 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
14 runs0 likes0 downloads0 reach14 impact
Automatically created scikit-learn flow.
14 runs0 likes0 downloads0 reach12 impact
Automatically created scikit-learn flow.
14 runs0 likes0 downloads0 reach14 impact
Learner mlr.costsens.classif.gbm from package(s) gbm.
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Automatically created ONNX flow.
14 runs0 likes0 downloads0 reach1 impact
Learner mlr.classif.rpart from package(s) rpart.
14 runs0 likes0 downloads0 reach4 impact
Learner classif.plr from package(s) stepPlr.
14 runs0 likes1 downloads1 reach0 impact
Probability calibration with isotonic regression or logistic regression. The calibration is based on the :term:`decision_function` method of the `base_estimator` if it exists, else on…
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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…
14 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…
14 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…
14 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…
14 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…
14 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…
14 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…
14 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…
14 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…
14 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…
14 runs0 likes0 downloads0 reach0 impact
Learner classif.rpart from package(s) rpart.
13 runs0 likes2 downloads2 reach13 impact
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
13 runs0 likes1 downloads1 reach0 impact
Moa implementation of BLAST
13 runs0 likes1 downloads1 reach0 impact
Learner classif.mda from package(s) !mda.
13 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
13 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
13 runs0 likes0 downloads0 reach11 impact
Moa implementation of AMRules
13 runs0 likes1 downloads1 reach0 impact
Weka implementation of BayesNet
13 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
13 runs0 likes1 downloads1 reach0 impact
Moa implementation of LeveragingBag
13 runs0 likes1 downloads1 reach0 impact
Weka implementation of RandomizableFilteredClassifier
13 runs0 likes0 downloads0 reach4 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
13 runs0 likes0 downloads0 reach0 impact
Weka implementation of RandomizableFilteredClassifier
13 runs0 likes0 downloads0 reach6 impact
Learner mlr.classif.kknn from package(s) !kknn.
13 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
13 runs0 likes0 downloads0 reach12 impact
Learner mlr.classif.svm.imputed.preproc from package(s) e1071.
13 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
13 runs0 likes0 downloads0 reach3 impact
Learner mlr.regr.gbm from package(s) gbm.
13 runs0 likes0 downloads0 reach0 impact
Automatically created MXNet flow.
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Learner classif.glmboost from package(s) mboost.
13 runs0 likes1 downloads1 reach0 impact
An AdaBoost classifier. An AdaBoost [1] classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of the classifier on the same dataset…
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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…
13 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…
13 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…
13 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…
13 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…
13 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…
13 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…
13 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…
13 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…
13 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
13 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…
13 runs0 likes0 downloads0 reach0 impact
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
12 runs0 likes1 downloads1 reach0 impact
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