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weka.Bagging_NaiveBayesMultinomial (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayesMultinomialUpdateable (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifierUpdateable_SGD (4)
Weka implementation of MultiClassClassifierUpdateable
1 runs0 likes0 downloads0 reach0 impact
weka.SGD (5)
Weka implementation of SGD
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomSubSpace_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_SimpleLogistic (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…
2 runs0 likes0 downloads0 reach1 impact
weka.MultiClassClassifier_REPTree (1)
Weka implementation of MultiClassClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_SimpleLinearRegression (1)
Weka implementation of MultiClassClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.SimpleLinearRegression (5)
Weka implementation of SimpleLinearRegression
0 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_RandomForest (2)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
1 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_CostSensitiveClassifier_RandomForest (1)
Weka implementation of MultiClassClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LWL_RandomForest (3)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_NaiveBayes (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
0 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdditiveRegression_DecisionStump (3)
Weka implementation of IterativeClassifierOptimizer
0 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_DecisionStump (5)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
16 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomTree (3)
Weka implementation of CostSensitiveClassifier
53 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomTree (12)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.RandomTree (13)
Weka implementation of RandomTree
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weka.CostSensitiveClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_RandomTree (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree (2)
Weka implementation of FilteredClassifier
19 runs0 likes0 downloads0 reach0 impact
weka.Bagging_HoeffdingTree (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_IBk (1)
Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_RandomTree (3)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_Bagging_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_Bagging_DecisionStump (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.preproc.overbagged (1)
Learner mlr.weightedclasses.classif.rpart.preproc.overbagged from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_HoeffdingTree (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
0 runs0 likes0 downloads0 reach0 impact
weka.RandomCommittee_RandomTree (6)
Weka implementation of RandomCommittee
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc.overbagged (1)
Learner mlr.weightedclasses.classif.gbm.preproc.overbagged from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_J48 (1)
Weka implementation of FilteredClassifier
1 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.CostSensitiveClassifier_Bagging_IBk (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_IBk (5)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_SimpleLogistic (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc.overbagged (1)
Learner mlr.weightedclasses.classif.xgboost.preproc.overbagged from package(s) xgboost.
4 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.Stacking_ZeroR (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
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
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
6 runs0 likes0 downloads0 reach5 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.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.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
__main__.Classifier (1)
Flow generated by run_task
6 runs0 likes0 downloads0 reach1 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
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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
mlr.classif.rpart.preproc (18)
Learner mlr.classif.rpart.preproc from package(s) rpart.
2374 runs0 likes0 downloads0 reach1191 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.ensemble.forest.ExtraTreesClassifier (4)
Flow generated by run_task
29 runs0 likes0 downloads0 reach27 impact
sklearn.neighbors.classification.KNeighborsClassifier (4)
Flow generated by run_task
100 runs0 likes0 downloads0 reach60 impact
sklearn.neighbors.classification.KNeighborsClassifier (5)
Flow generated by run_task
0 runs0 likes0 downloads0 reach0 impact
moa.OzaBag_HoeffdingOptionTree (1)
Moa implementation of OzaBag
236 runs0 likes0 downloads0 reach232 impact
moa.LeveragingBag_HoeffdingOptionTree (1)
Moa implementation of LeveragingBag
241 runs0 likes0 downloads0 reach237 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 (27)
Learner mlr.classif.rpart from package(s) rpart.
14 runs0 likes0 downloads0 reach4 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