OpenML
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21333 results
weka.Stacking_NaiveBayes (3)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomSubSpace_SimpleLogistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Vote_NaiveBayes (2)
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…
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_Bagging_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_Bagging_DecisionStump (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.WeightedInstancesHandlerWrapper_NaiveBayes (1)
Weka implementation of WeightedInstancesHandlerWrapper
1 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_NaiveBayes (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc.smoted (1)
Learner mlr.weightedclasses.classif.xgboost.preproc.smoted from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_RandomForest (2)
Weka implementation of MultiSearch
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_NaiveBayes (2)
Weka implementation of FilteredClassifier
12 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LogitBoost_NaiveBayes (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_NaiveBayes (3)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (2)
Weka implementation of FilteredClassifier
10 runs0 likes0 downloads0 reach0 impact
weka.Bagging_CostSensitiveClassifier_RandomForest (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_REPTree (7)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_RandomForest (1)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_REPTree (4)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_IBk (3)
Weka implementation of MultiSearch
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_RandomForest (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_RandomForest (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_LogitBoost_DecisionStump (2)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_FilteredClassifier_RandomForest (1)
Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_AdaBoostM1_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline (1)
Flow generated by run_task
0 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.forest.RandomTreesEmbedding (1)
Flow generated by run_task
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(sklearn.preprocessing.imputation.Imputer,sklearn.preprocessing.data.OneHotEncoder,sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (1)
Please use the mlr add-on code https://github.com/HeidiSeibold/sandbox/blob/95fb76a6c6c645dc5915754b739f2c00b12df542/rstuff/openml_ctree.R and devel partykit package revision 1034:…
746 runs0 likes0 downloads0 reach0 impact
__main__.Model (1)
Flow generated by run_task
0 runs0 likes0 downloads0 reach0 impact
__main__.Flow (1)
Flow generated by run_task
2 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (15)
Flow generated by run_task
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (2)
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
Flow.Flow (1)
Flow generated by run_task
1 runs0 likes0 downloads0 reach0 impact
Flow.Flow (2)
Flow generated by run_task
3 runs0 likes0 downloads0 reach0 impact
AutoSklearnFLow.AutoSklearnFlow (1)
Flow generated by run_task
0 runs0 likes0 downloads0 reach0 impact
flows.TpotFlow.TpotFlow (1)
Flow generated by run_task
51 runs0 likes0 downloads0 reach0 impact
flows.AutoSklearnFLow.AutoSklearnFlow (1)
Flow generated by run_task
72 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (5)
Flow generated by run_task
0 runs0 likes0 downloads0 reach0 impact
xgboost.sklearn.XGBClassifier (2)
Flow generated by run_task
5 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.weight_boosting.AdaBoostClassifier (4)
Flow generated by run_task
5 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (3)
Please use the mlr add-on code and devel partykit package revision 1034:
25 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (4)
Please use the mlr add-on code and devel partykit package revision 1078: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partykit
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (5)
Please use the mlr add-on code and devel partykit package revision 1078: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partykit
78 runs0 likes0 downloads0 reach0 impact
mlr.classif.xgboost (2)
Learner mlr.classif.xgboost from package(s) xgboost.
0 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.randomForest (22)
Learner mlr.classif.randomForest from package(s) randomForest.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (6)
Please use the mlr add-on code and devel partykit package revision 1078: https://r-forge.r-project.org/scm/viewvc.php/pkg/devel/?root=partykit
0 runs0 likes0 downloads0 reach0 impact
mlr.regr.develpartykit.ctree (1)
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 1082:…
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.imputed.filtered (3)
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (5)
Learner mlr.classif.rpart.tuned from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.cforest (1)
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 1089:…
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.cforest (2)
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 1089:…
0 runs0 likes0 downloads0 reach0 impact
mlr.regr.develpartykit.cforest (1)
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 1089:…
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (7)
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 1089:…
8 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.cforest (3)
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 1089:…
8 runs0 likes0 downloads0 reach0 impact
mlr.regr.develpartykit.ctree (2)
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:…
8 runs0 likes0 downloads0 reach0 impact
mlr.regr.develpartykit.cforest (2)
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:…
8 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.ctree (8)
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
mlr.classif.develpartykit.cforest (4)
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
mlr.regr.develpartykit.ctree (3)
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
mlr.regr.develpartykit.cforest (3)
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
mlr.classif.develpartykit.ctree (9)
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:…
143 runs0 likes0 downloads0 reach0 impact
mlr.classif.develpartykit.cforest (5)
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:…
95 runs0 likes0 downloads0 reach0 impact
mlr.regr.develpartykit.ctree (4)
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:…
62 runs0 likes0 downloads0 reach0 impact
mlr.regr.develpartykit.cforest (4)
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:…
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest (23)
Learner mlr.classif.randomForest from package(s) randomForest.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.RRF (1)
Learner mlr.classif.RRF from package(s) RRF.
1 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model.base.LinearRegression (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.svm.classes.LinearSVC (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model.logistic.LogisticRegression (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.tree.tree.DecisionTreeClassifier (5)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(steps__scale=sklearn.preprocessing.data.RobustScaler,steps__rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.RobustScaler (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(steps__imputer=sklearn.preprocessing.imputation.Imputer,steps__onehotencoder=sklearn.preprocessing.data.OneHotEncoder,steps__zerocount=tpot.operators.preprocessors.zero_count.ZeroCount,steps__logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.imputation.Imputer (3)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.preprocessing.data.OneHotEncoder (3)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
tpot.operators.preprocessors.zero_count.ZeroCount (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
__main__.PipelineWrapper(estimator__logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
__main__.PipelineWrapper(estimator__bernoullinb=sklearn.naive_bayes.BernoulliNB) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.naive_bayes.BernoulliNB (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
__main__.PipelineWrapper (1)
Automatically created sub-component.
1 runs0 likes0 downloads0 reach0 impact
sklearn.naive_bayes.MultinomialNB (1)
Automatically created sub-component.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(steps__feature_selection=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.svm.classes.LinearSVC),steps__classification=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.svm.classes.LinearSVC) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.svm.classes.LinearSVC (2)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest (24)
Learner mlr.classif.randomForest from package(s) randomForest.
0 runs0 likes0 downloads0 reach0 impact
moa.HoeffdingTreeClassifLeaves_NaiveBayes (1)
Moa implementation of HoeffdingTreeClassifLeaves
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.svm (5)
Learner mlr.classif.svm from package(s) e1071.
1 runs0 likes0 downloads0 reach0 impact
sklearn.linear_model.perceptron.Perceptron (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.naiveBayes.preproc (9)
Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
79 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
mlr.classif.randomForestSRC.preproc (1)
Learner mlr.classif.randomForestSRC.preproc from package(s) randomForestSRC.
4 runs0 likes0 downloads0 reach0 impact
mlr.classif.avNNet.preproc (1)
Learner mlr.classif.avNNet.preproc from package(s) nnet.
62 runs0 likes0 downloads0 reach0 impact
mlr.classif.C50.preproc (1)
Learner mlr.classif.C50.preproc from package(s) C50.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.featureless.preproc (1)
Learner mlr.classif.featureless.preproc from package(s) mlr.
81 runs0 likes0 downloads0 reach0 impact
mlr.classif.gbm.preproc (3)
Learner mlr.classif.gbm.preproc from package(s) gbm.
78 runs0 likes0 downloads0 reach0 impact
mlr.classif.evtree.preproc (1)
Learner mlr.classif.evtree.preproc from package(s) evtree.
65 runs0 likes0 downloads0 reach0 impact
mlr.classif.lda.preproc (1)
Learner mlr.classif.lda.preproc from package(s) MASS.
61 runs0 likes0 downloads0 reach0 impact