OpenML
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21333 results
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
13 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
5 runs0 likes0 downloads0 reach3 impact
sklearn.discriminant_analysis.LinearDiscriminantAnalysis (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach3 impact
weka.LogitBoost (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
4 runs0 likes0 downloads0 reach3 impact
weka.LMT (8)
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European…
4 runs0 likes0 downloads0 reach3 impact
weka.CVParameterSelection (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
4 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (25)
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…
270 runs0 likes0 downloads0 reach3 impact
sklearn.neighbors._classification.KNeighborsClassifier (19)
Classifier implementing the k-nearest neighbors vote.
3 runs0 likes0 downloads0 reach3 impact
sklearn.ensemble._forest.RandomForestClassifier (29)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
4 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (29)
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…
4 runs0 likes0 downloads0 reach3 impact
sklearn.ensemble._forest.RandomForestClassifier (9)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
4 runs0 likes0 downloads0 reach3 impact
sklearn.neighbors._classification.KNeighborsClassifier (9)
Classifier implementing the k-nearest neighbors vote.
3 runs0 likes0 downloads0 reach3 impact
sklearn.tree.tree.DecisionTreeClassifier (1)
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
sklearn.svm.classes.SVC (2)
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
weka.BayesNet (1)
Weka implementation of BayesNet
290 runs0 likes0 downloads0 reach2 impact
weka.Bagging_LWL_DecisionStump (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes0 downloads0 reach2 impact
weka.ClassificationViaRegression_M5P (3)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
135 runs0 likes0 downloads0 reach2 impact
moa.NaiveBayes (4)
Moa implementation of NaiveBayes
63 runs0 likes0 downloads0 reach2 impact
moa.SGD (3)
Moa implementation of SGD
122 runs0 likes0 downloads0 reach2 impact
moa.LeveragingBag_HoeffdingTree (4)
Moa implementation of LeveragingBag
252 runs0 likes0 downloads0 reach2 impact
mlr.classif.rpart (25)
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (2)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(voting=sklearn.ensemble.forest.RandomForestClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=__main__.SecondGradientBoostingClassifier)) (1)
Automatically created scikit-learn flow.
10 runs0 likes0 downloads0 reach2 impact
weka.MultiSearch_J48 (5)
Weka implementation of MultiSearch
2 runs0 likes0 downloads0 reach2 impact
weka.RandomCommittee_RandomForest (1)
Weka implementation of RandomCommittee
4 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_Bagging_RandomForest (3)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_RandomForest (1)
Weka implementation of FilteredClassifier
5 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (3)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 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.CostSensitiveClassifier_RandomForest (6)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach2 impact
sklearn.neighbors.classification.KNeighborsClassifier (28)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.neighbors.classification.KNeighborsClassifier (36)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach2 impact
weka.BayesianLogisticRegression (1)
Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization. URL http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf.
3 runs0 likes2 downloads2 reach2 impact
weka.DecisionStump (2)
Weka implementation of DecisionStump
57 runs0 likes3 downloads3 reach2 impact
weka.BayesNet_HillClimber (2)
Weka implementation of BayesNet
3 runs0 likes2 downloads2 reach2 impact
weka.Vote_ZeroR (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…
547 runs0 likes3 downloads3 reach2 impact
weka.Ridor (2)
Weka implementation of Ridor
3 runs0 likes2 downloads2 reach2 impact
HIKNN (1)
HubMiner implementation of HIKNN
119 runs0 likes2 downloads2 reach2 impact
weka.Vote_J48 (1)
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 likes2 downloads2 reach2 impact
weka.Stacking_REPTree (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
6 runs0 likes3 downloads3 reach2 impact
weka.LogitBoost_REPTree (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
3 runs0 likes3 downloads3 reach2 impact
surv.coxph (1)
Learner surv.coxph from package(s) survival.
3 runs0 likes2 downloads2 reach2 impact
classif.rpart (18)
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach2 impact
weka.M5P (4)
Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
2 runs0 likes2 downloads2 reach2 impact
weka.M5Rules (4)
Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
2 runs0 likes2 downloads2 reach2 impact
moa.NaiveBayes (2)
No description
4 runs0 likes2 downloads2 reach2 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach2 impact
weka.Bagging_RandomSubSpace_REPTree (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.Bagging_CostSensitiveClassifier_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.AdaBoostM1_Bagging_REPTree (1)
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 likes1 downloads1 reach2 impact
weka.CostSensitiveClassifier_Vote_Bagging (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes2 downloads2 reach2 impact
classif.naiveBayes (6)
Learner classif.naiveBayes from package(s) e1071.
131 runs0 likes3 downloads3 reach2 impact
sklearn.tree.tree.ExtraTreeClassifier (26)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
sklearn.ensemble._forest.RandomForestClassifier (2)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
70 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (18)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (4)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_FilteredClassifier_Vote_SimpleLogistic (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_FilteredClassifier_J48 (1)
Weka implementation of CostSensitiveClassifier
10 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_J48 (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.RandomizableFilteredClassifier_BayesNet (1)
Weka implementation of RandomizableFilteredClassifier
6 runs0 likes0 downloads0 reach2 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_RandomTree (5)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.Vote_RandomTree (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 reach2 impact
weka.AttributeSelectedClassifier_KStar (2)
Weka implementation of AttributeSelectedClassifier
4 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_REPTree (8)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
mlr.classif.xgboost (9)
Learner mlr.classif.xgboost from package(s) xgboost.
1029849 runs1 likes21 downloads22 reach2 impact
mlr.classif.randomForest (29)
Learner mlr.classif.randomForest from package(s) randomForest.
22 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_LogitBoost_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach2 impact
mlr.classif.randomForest (33)
Learner mlr.classif.randomForest from package(s) randomForest.
3 runs0 likes0 downloads0 reach2 impact
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (7)
Automatically created scikit-learn flow.
11 runs0 likes0 downloads0 reach2 impact
sklearn.ensemble.forest.RandomForestClassifier (23)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
mlr.classif.rpart (42)
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (5)
Automatically created scikit-learn flow.
5 runs0 likes0 downloads0 reach2 impact
sklearn.tree.tree.ExtraTreeClassifier (8)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (10)
Automatically created scikit-learn flow.
2 runs0 likes1 downloads1 reach2 impact
mlr.classif.ranger (14)
Learner mlr.classif.ranger from package(s) ranger.
3 runs0 likes0 downloads0 reach2 impact
sklearn.neighbors.classification.KNeighborsClassifier (21)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach2 impact
weka.kf.AttributeSelection-Ranker-InfoGain-SMO (1)
A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-SMO.kf
813 runs0 likes0 downloads0 reach2 impact
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach2 impact
weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5 (1)
A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-Standardize-IBk5.kf
814 runs0 likes0 downloads0 reach2 impact
sklearn.naive_bayes.GaussianNB (7)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
weka.kf.AttributeSelection-Ranker-InfoGain-ReplaceMissingValues-NaiveBayes (1)
A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-ReplaceMissingValues-NaiveBayes.kf
813 runs0 likes0 downloads0 reach2 impact
sklearn.naive_bayes.BernoulliNB (4)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
5 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,svm=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (2)
Automatically created scikit-learn flow.
13 runs0 likes0 downloads0 reach2 impact
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,kerasclassifier=keras.wrappers.scikit_learn.KerasClassifier) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
keras.wrappers.scikit_learn.KerasClassifier (5)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
weka.IterativeClassifierOptimizer (1)
Weka implementation of IterativeClassifierOptimizer
2 runs0 likes0 downloads0 reach2 impact
sklearn.ensemble.forest.ExtraTreesClassifier (9)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (26)
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…
3 runs0 likes0 downloads0 reach2 impact
sklearn.neighbors._classification.KNeighborsClassifier (21)
Classifier implementing the k-nearest neighbors vote.
3 runs0 likes0 downloads0 reach2 impact