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weka.AdaBoostM1_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.
111 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_RandomForest (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
111 runs0 likes1 downloads1 reach0 impact
classif.lda (11)
Learner classif.lda from package(s) MASS.
111 runs0 likes3 downloads3 reach110 impact
classif.xgboost (6)
Learner classif.xgboost from package(s) xgboost.
111 runs0 likes1 downloads1 reach0 impact
weka.Id3 (3)
R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.
110 runs0 likes2 downloads2 reach93 impact
moa.DecisionStump (1)
Moa implementation of DecisionStump
109 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (3)
Automatically created sub-component.
108 runs0 likes0 downloads0 reach106 impact
weka.MultiBoostAB_IBk (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
108 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_NaiveBayes (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
108 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_IBk (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
108 runs0 likes1 downloads1 reach0 impact
weka.KernelLogisticRegression_PolyKernel (4)
Weka implementation of KernelLogisticRegression
108 runs0 likes2 downloads2 reach26 impact
classif.ada (8)
Learner classif.ada from package(s) ada.
107 runs0 likes1 downloads1 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (33)
Automatically created scikit-learn flow.
107 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (20)
Automatically created scikit-learn flow.
107 runs0 likes0 downloads0 reach106 impact
weka.Bagging_OneR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
106 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_LADTree (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
106 runs0 likes1 downloads1 reach0 impact
weka.VotedPerceptron (5)
Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
106 runs0 likes2 downloads2 reach106 impact
sklearn.pipeline.Pipeline(step_0=sklearn.discriminant_analysis.LinearDiscriminantAnalysis) (1)
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…
106 runs0 likes0 downloads0 reach0 impact
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense) (2)
Automatically created scikit-learn flow.
105 runs0 likes2 downloads2 reach0 impact
weka.Bagging_NaiveBayes (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
105 runs0 likes1 downloads1 reach0 impact
weka.Bagging_SMO_PolyKernel (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
105 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_J48 (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
105 runs0 likes1 downloads1 reach0 impact
moa.LeveragingBag_FIMTDD (1)
Moa implementation of LeveragingBag
105 runs0 likes1 downloads1 reach0 impact
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)) (2)
Automatically created scikit-learn flow.
105 runs0 likes0 downloads0 reach0 impact
weka.GaussianProcesses_RBFKernel (2)
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
104 runs0 likes1 downloads1 reach104 impact
sklearn.ensemble.forest.RandomForestClassifier (14)
Flow generated by run_task
103 runs0 likes0 downloads0 reach103 impact
weka.MultiBoostAB_OneR (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
103 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_MultilayerPerceptron (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
103 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL1LogReg (6)
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
103 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.ensemble._bagging.BaggingClassifier) (1)
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…
103 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_BFTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
102 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_HoeffdingTree (1)
Weka implementation of AttributeSelectedClassifier
101 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_REPTree (1)
Weka implementation of AttributeSelectedClassifier
101 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
101 runs0 likes0 downloads0 reach0 impact
moa.ORTO (1)
Moa implementation of ORTO
101 runs0 likes2 downloads2 reach1 impact
classif.ada (6)
Learner classif.ada from package(s) ada.
101 runs0 likes2 downloads2 reach16 impact
classif.mlp (6)
Learner classif.mlp from package(s) RSNNS.
101 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
100 runs0 likes1 downloads1 reach0 impact
sklearn.neighbors.classification.KNeighborsClassifier (4)
Flow generated by run_task
100 runs0 likes0 downloads0 reach60 impact
weka.Bagging_LADTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
100 runs0 likes1 downloads1 reach0 impact
classif.xyf (4)
Learner classif.xyf from package(s) kohonen.
100 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier (4)
Weka implementation of CostSensitiveClassifier
100 runs0 likes0 downloads0 reach96 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,pca=sklearn.decomposition.pca.PCA,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
99 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_REPTree (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
99 runs0 likes1 downloads1 reach0 impact
weka.FilteredClassifier_Discretize_J48 (3)
Weka implementation of FilteredClassifier
99 runs0 likes1 downloads1 reach0 impact
weka.Prism (3)
J. Cendrowska (1987). PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies. 27(4):349-370.
99 runs0 likes2 downloads2 reach26 impact
classif.mda (3)
Learner classif.mda from package(s) !mda.
99 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL2LogReg (6)
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
99 runs0 likes1 downloads1 reach0 impact
classif.nnTrain (5)
Learner classif.nnTrain from package(s) deepnet.
99 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
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…
99 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (1)
Weka implementation of AttributeSelectedClassifier
98 runs0 likes1 downloads1 reach0 impact
weka.Bagging_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
98 runs0 likes1 downloads1 reach0 impact
classif.bdk (4)
Learner classif.bdk from package(s) kohonen.
98 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model.stochastic_gradient.SGDRegressor) (1)
Automatically created scikit-learn flow.
98 runs0 likes0 downloads0 reach0 impact
weka.Bagging_DecisionStump (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
97 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LMT (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
97 runs0 likes1 downloads1 reach0 impact
weka.Bagging_BFTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
97 runs0 likes1 downloads1 reach0 impact
classif.saeDNN (5)
Learner classif.saeDNN from package(s) deepnet.
97 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(Median-Imputer=sklearn.preprocessing.imputation.Imputer,learner=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
97 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomForest (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
96 runs0 likes1 downloads1 reach0 impact
classif.dbnDNN (5)
Learner classif.dbnDNN from package(s) deepnet.
96 runs0 likes1 downloads1 reach0 impact
classif.sda (7)
Learner classif.sda from package(s) sda.
96 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
96 runs0 likes0 downloads0 reach80 impact
mlr.classif.naiveBayes.preproc (7)
Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
95 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
weka.MultiBoostAB_LWL_DecisionStump (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
95 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(step_0=sklearn.ensemble._weight_boosting.AdaBoostClassifier) (1)
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…
95 runs0 likes0 downloads0 reach0 impact
weka.ZeroR (17)
Weka implementation of ZeroR
95 runs0 likes0 downloads0 reach94 impact
weka.FilteredClassifier_MultiSearch_MultilayerPerceptron (1)
Weka implementation of FilteredClassifier
94 runs0 likes0 downloads0 reach0 impact
weka.MultiBoostAB_J48 (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
94 runs0 likes1 downloads1 reach0 impact
classif.rpart (1)
Learner classif.rpart from package rpart.
94 runs0 likes3 downloads3 reach94 impact
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
94 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.ensemble._forest.ExtraTreesClassifier) (1)
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…
94 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(cont=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler)),decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
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…
92 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,neighbors=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
92 runs0 likes0 downloads0 reach89 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model._logistic.LogisticRegression) (1)
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…
92 runs0 likes0 downloads0 reach0 impact
mlr.classif.ctree (17)
Learner mlr.classif.ctree from package(s) party.
91 runs0 likes0 downloads0 reach0 impact
weka.KernelLogisticRegression_RBFKernel (3)
Weka implementation of KernelLogisticRegression
90 runs0 likes2 downloads2 reach33 impact
classif.logreg (9)
Learner classif.logreg from package(s) stats.
90 runs0 likes1 downloads1 reach0 impact
classif.rotationForest (5)
Learner classif.rotationForest from package(s) rotationForest.
90 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (2)
Automatically created scikit-learn flow.
89 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model._perceptron.Perceptron) (1)
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…
89 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
88 runs0 likes7 downloads7 reach26 impact
weka.RandomTree (2)
Weka implementation of RandomTree
88 runs0 likes9 downloads9 reach85 impact
classif.sparseLDA (3)
Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
88 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(feature_map=sklearn_extra.kernel_approximation._fastfood.Fastfood,svm=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
88 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (47)
Learner mlr.classif.rpart from package(s) rpart.
88 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_MultiSearch_LogitBoost_REPTree (1)
Weka implementation of FilteredClassifier
87 runs0 likes0 downloads0 reach9 impact
weka.classifiers.meta.MultiSearch(weka.classifiers.meta.multisearch.RandomSearch,weka.classifiers.meta.FilteredClassifier(weka.filters.MultiFilter(weka.filters.unsupervised.attribute.ReplaceMissingValues,weka.filters.unsupervised.attribute.RemoveUseless,weka.filters.unsupervised.attribute.Normalize),weka.classifiers.trees.J48)) (1)
Weka implementation.
87 runs0 likes0 downloads0 reach0 impact
moa.AccuracyWeightedEnsemble_WEKAClassifier_SMO_RBFKernel (1)
Moa implementation of AccuracyWeightedEnsemble
87 runs0 likes1 downloads1 reach0 impact
classif.naiveBayes (9)
Learner classif.naiveBayes from package(s) e1071.
86 runs0 likes1 downloads1 reach0 impact
weka.CVParameterSelection_ZeroR (2)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
86 runs0 likes2 downloads2 reach54 impact
classif.probit (5)
Learner classif.probit from package(s) stats.
85 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_JRip (1)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
84 runs0 likes1 downloads1 reach0 impact
weka.MultiBoostAB_RandomTree (2)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
84 runs0 likes2 downloads2 reach56 impact
pipelineopt.estimator.Classifier (1)
Automatically created scikit-learn flow.
84 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model._ridge.RidgeClassifier) (1)
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…
84 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier) (1)
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…
84 runs0 likes0 downloads0 reach0 impact
weka.MultilayerPerceptron (2)
Weka implementation of MultilayerPerceptron
83 runs0 likes4 downloads4 reach59 impact
weka.RealAdaBoost_J48 (1)
J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
83 runs0 likes2 downloads2 reach74 impact