OpenML
Learner classif.randomForest from package(s) randomForest.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package(s) RWeka.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.rda from package(s) klaR.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.xgboost from package(s) xgboost.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.bdk from package(s) kohonen.
7 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
7 runs0 likes3 downloads3 reach6 impact
Learner classif.hdrda from package(s) sparsediscrim.
7 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
7 runs0 likes0 downloads0 reach7 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
7 runs0 likes0 downloads0 reach4 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.
7 runs0 likes0 downloads0 reach3 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
7 runs0 likes5 downloads5 reach6 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 runs0 likes0 downloads0 reach6 impact
Weka implementation of CostSensitiveClassifier
7 runs0 likes0 downloads0 reach6 impact
Learner mlr.classif.nnTrain.imputed.dummied.preproc from package(s) deepnet.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.mlp.imputed.dummied.preproc from package(s) RSNNS.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.sparseLDA.imputed.dummied.preproc from package(s) !sparseLDA, MASS, !elasticnet.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.cforest.imputed.preproc from package(s) party.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach5 impact
Learner mlr.classif.rpart.tuned from package(s) rpart.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
7 runs0 likes0 downloads0 reach6 impact
Weka implementation of MultiClassClassifier
7 runs0 likes0 downloads0 reach7 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach3 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
Automatically created MXNet flow.
7 runs0 likes0 downloads0 reach0 impact
Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
7 runs0 likes2 downloads2 reach6 impact
A decision tree classifier.
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 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…
7 runs0 likes0 downloads0 reach0 impact
A decision tree regressor.
7 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…
7 runs0 likes0 downloads0 reach0 impact
Learner classif.sda.tuned from package(s) sda.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.logreg from package(s) stats.
6 runs0 likes2 downloads2 reach5 impact
Learner classif.rpart from package(s) rpart.
6 runs0 likes2 downloads2 reach1 impact
Learner classif.lda from package(s) MASS.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.PART from package(s) RWeka.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.plr from package(s) stepPlr.
6 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
6 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForestSRC, randomForest.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.qda from package(s) MASS.
6 runs0 likes1 downloads1 reach0 impact
Learner classif.lqa from package(s) lqa.
6 runs0 likes1 downloads1 reach0 impact
Weka implementation of MultiSearch
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.ksvm from package(s) kernlab.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.bagged from package(s) rpart.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.C50.bagged from package(s) C50.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.C50 from package(s) C50.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.ctree from package(s) party.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.bagged from package(s) rpart.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.C50.bagged from package(s) C50.
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Learner mlr.classif.C50 from package(s) C50.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.bagged from package(s) rpart.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.C50.bagged from package(s) C50.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.C50 from package(s) C50.
6 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.ctree from package(s) party.
6 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
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Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE…
6 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
6 runs0 likes0 downloads0 reach4 impact