DEVELOPMENT... OpenML
OpenML
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classif.kknn (3)
Learner classif.kknn from package(s) !kknn.
3 runs0 likes1 downloads1 reach0 impact
classif.ksvm (5)
Learner classif.ksvm from package(s) kernlab.
3 runs0 likes1 downloads1 reach0 impact
classif.mda (2)
Learner classif.mda from package(s) !mda.
3 runs0 likes1 downloads1 reach0 impact
classif.nnet (4)
Learner classif.nnet from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
classif.OneR (5)
Learner classif.OneR from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.PART (5)
Learner classif.PART from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.plr (5)
Learner classif.plr from package(s) stepPlr.
3 runs0 likes1 downloads1 reach0 impact
classif.randomForest (44)
Learner classif.randomForest from package(s) randomForest.
3 runs0 likes1 downloads1 reach0 impact
classif.randomForestSRC (4)
Learner classif.randomForestSRC from package(s) randomForestSRC.
3 runs0 likes1 downloads1 reach0 impact
classif.ranger (4)
Learner classif.ranger from package(s) ranger.
3 runs0 likes1 downloads1 reach0 impact
classif.rda (5)
Learner classif.rda from package(s) klaR.
3 runs0 likes1 downloads1 reach0 impact
classif.svm (6)
Learner classif.svm from package(s) e1071.
3 runs0 likes1 downloads1 reach0 impact
rm.process.parallel_decision_tree (2)
A RapidMiner Workflow.
3 runs0 likes1 downloads1 reach0 impact
moa.NaiveBayes (3)
Moa implementation of NaiveBayes
3 runs0 likes1 downloads1 reach0 impact
weka.LogitBoost_Bagging_REPTree (3)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
3 runs0 likes1 downloads1 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (1)
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
sklearn.svm.classes.SVC (1)
Flow generated by run_task
3 runs0 likes1 downloads1 reach0 impact
sklearn.svm.classes.SVC (2)
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
moa.OzaBagAdwin_HoeffdingTree (2)
Moa implementation of OzaBagAdwin
3 runs0 likes1 downloads1 reach0 impact
classif.ctree (7)
Learner classif.ctree from package(s) party.
3 runs0 likes1 downloads1 reach0 impact
classif.nodeHarvest (6)
Learner classif.nodeHarvest from package(s) nodeHarvest.
3 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest (2)
Learner mlr.classif.randomForest from package(s) randomForest.
3 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (3)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
3 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (4)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
3 runs0 likes1 downloads1 reach0 impact
mlr.classif.rpart.preproc.filtered (1)
Learner mlr.classif.rpart.preproc.filtered from package(s) randomForestSRC, rpart.
3 runs0 likes1 downloads1 reach0 impact
mlr.classif.rpart.tuned (1)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_IBk (2)
Weka implementation of MultiSearch
3 runs0 likes0 downloads0 reach0 impact
mlr.regr.km (1)
Learner mlr.regr.km from package(s) DiceKriging.
3 runs0 likes0 downloads0 reach0 impact
mlr.regr.rpart (2)
Learner mlr.regr.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
rm.process.k_nn (1)
A RapidMiner Workflow.
3 runs0 likes1 downloads1 reach0 impact
rm.process.parallel_random_forest (1)
A RapidMiner Workflow.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (3)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (4)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest (21)
Learner mlr.classif.randomForest from package(s) randomForest.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (25)
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach2 impact
mlr.classif.ranger.preproc (3)
Learner mlr.classif.ranger.preproc from package(s) ranger.
3 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomTree (11)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.FilteredClassifier_CostSensitiveClassifier_Logistic (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.Stacking_NaiveBayes (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes0 downloads0 reach0 impact
weka.Bagging_DecisionStump (5)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach1 impact
weka.DecisionStump (7)
Weka implementation of DecisionStump
3 runs0 likes0 downloads0 reach3 impact
weka.Bagging_NaiveBayes (11)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.MultiClassClassifier_Logistic (3)
Weka implementation of MultiClassClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_RandomForest (1)
Weka implementation of MultiClassClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.OneR (19)
R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.Bagging_SimpleLogistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.Bagging_NaiveBayesUpdateable (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_NaiveBayes (1)
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
3 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_NaiveBayesUpdateable (1)
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach1 impact
weka.MultiSearch_RandomForest (2)
Weka implementation of MultiSearch
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_LogitBoost_DecisionStump (2)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
Flow.Flow (2)
Flow generated by run_task
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (26)
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (19)
Learner mlr.classif.rpart.preproc from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
DeepForest.DeepForest (3)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach1 impact
sklearn.linear_model.stochastic_gradient.SGDClassifier (1)
Automatically created sub-component.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=openml.utils.preprocessing.ConditionalImputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,VarianceThreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,Estimator=sklearn.model_selection._search.GridSearchCV(estimator=sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kernelpca=sklearn.decomposition.kernel_pca.KernelPCA,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kernelpca=sklearn.decomposition.kernel_pca.KernelPCA,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(nystroem=sklearn.kernel_approximation.Nystroem,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
weka.Vote_RandomForest (3)
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…
3 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_Logistic (2)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.DecisionTable (4)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
3 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_MultiSearch_RandomForest (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_MultiSearch_IBk (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_MultiSearch_IBk (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_Vote_SimpleLogistic (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_J48 (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.Bagging (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.Bagging_J48 (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.RotationForest_RandomForest (1)
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.…
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomTree (5)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.Stacking_SMO (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_LMT (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_LMT (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
3 runs0 likes0 downloads0 reach3 impact
weka.RandomizableFilteredClassifier_Vote_ZeroR (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach1 impact
weka.RandomizableFilteredClassifier_MultiBoostAB_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_REPTree (8)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_SimpleLogistic (2)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_SimpleLogistic (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing.data.OneHotEncoder,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
optimus.model_optimizer.ModelOptimizer(estimator=sklearn.linear_model.logistic.LogisticRegression) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LWL_DecisionStump (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_IBk (4)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
3 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_JRip (4)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
3 runs0 likes0 downloads0 reach0 impact
__main__.PythonChallengeClassifier (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach1 impact