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sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Stacking_SMO (1)
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.Stacking_AttributeSelectedClassifier (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
2 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier (1)
Weka implementation of AttributeSelectedClassifier
12 runs0 likes0 downloads0 reach12 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robustscaler=sklearn.preprocessing.data.RobustScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR) (1)
Automatically created scikit-learn flow.
5 runs0 likes0 downloads0 reach0 impact
__main__.LR (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(Standard=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),Robust=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR)) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
__main__.DI (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(LogisticRegression_1=sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression),LogisticRegression_2=sklearn.pipeline.Pipeline(di=__main__.DI,robustscaler=sklearn.preprocessing.data.RobustScaler,lr=__main__.LR)) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
8 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_NaiveBayes (2)
Weka implementation of AttributeSelectedClassifier
310 runs0 likes0 downloads0 reach309 impact
weka.AttributeSelectedClassifier_BayesNet (2)
Weka implementation of AttributeSelectedClassifier
51 runs0 likes0 downloads0 reach50 impact
weka.MultiSearch_ZeroR (1)
Weka implementation of MultiSearch
1 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_Stacking_ZeroR (1)
Weka implementation of MultiSearch
1 runs0 likes0 downloads0 reach0 impact
weka.SMO_StringKernel (1)
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
weka.StringKernel (2)
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins (2002). Text Classification using String Kernels. Journal of Machine Learning Research. 2:419-444. F.…
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weka.AdditiveRegression_DecisionStump (6)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifierUpdateable_SGD (5)
Weka implementation of MultiClassClassifierUpdateable
1 runs0 likes0 downloads0 reach0 impact
weka.SGD (6)
Weka implementation of SGD
1 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_VotedPerceptron (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.VotedPerceptron (6)
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.
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weka.CostSensitiveClassifier_MultilayerPerceptron (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.MultiSearch_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of MultiSearch
1 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_CostSensitiveClassifier_SimpleLogistic (1)
Weka implementation of MultiSearch
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_J48 (2)
Weka implementation of FilteredClassifier
2 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,multinomialnb=sklearn.naive_bayes.MultinomialNB) (1)
Automatically created scikit-learn flow.
1 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,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_SimpleLogistic (1)
Weka implementation of MultiSearch
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,svc=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,selectfrommodel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,selectfrommodel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_OneR (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
15 runs0 likes1 downloads1 reach0 impact
sklearn.svm.classes.NuSVC (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,polynomialfeatures=sklearn.preprocessing.data.PolynomialFeatures,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
1 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
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,lgbmclassifier=lightgbm.sklearn.LGBMClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
lightgbm.sklearn.LGBMClassifier (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,gaussiannb=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(RFC=sklearn.ensemble.forest.RandomForestClassifier,ETC=sklearn.ensemble.forest.ExtraTreesClassifier)) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(RFC=sklearn.ensemble.forest.RandomForestClassifier,ETC=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier,ExtraTreesClassifier=sklearn.ensemble.forest.ExtraTreesClassifier)) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier,ExtraTreesClassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,voter=helper.voter.Voter) (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
helper.voter.Voter (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
__main__.Wrapper (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
17 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
10 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_J48 (6)
Weka implementation of CostSensitiveClassifier
15 runs0 likes0 downloads0 reach14 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_IBk (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_IBk (2)
Weka implementation of AttributeSelectedClassifier
246 runs0 likes0 downloads0 reach246 impact
weka.MultiClassClassifier_SMO_PolyKernel (1)
Weka implementation of MultiClassClassifier
2 runs0 likes0 downloads0 reach1 impact
mlr.classif.rpart (33)
Learner mlr.classif.rpart from package(s) rpart.
500 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (33)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (33)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (33)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.rpart (33)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.rpart (33)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.rpart (34)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.rpart (35)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.rpart (34)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.rpart (35)
Learner mlr.classif.rpart from package(s) rpart.
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weka.AdaBoostM1_CostSensitiveClassifier_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.
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_RandomForest (5)
Weka implementation of CostSensitiveClassifier
14 runs0 likes0 downloads0 reach14 impact
weka.FilteredClassifier_CostSensitiveClassifier_Logistic (2)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach3 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_Logistic (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.CostSensitiveClassifier_FilteredClassifier_Logistic (1)
Weka implementation of CostSensitiveClassifier
6 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_FilteredClassifier_Bagging_REPTree (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_REPTree (1)
Weka implementation of FilteredClassifier
37 runs0 likes0 downloads0 reach37 impact
weka.CostSensitiveClassifier_FilteredClassifier_Bagging_RandomForest (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_RandomForest (3)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 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
sklearn.kernel_approximation.Nystroem (1)
Automatically created scikit-learn flow.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_IBk (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_IBk (1)
Weka implementation of FilteredClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_IBk (2)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_RandomForest (4)
Weka implementation of FilteredClassifier
509 runs0 likes0 downloads0 reach504 impact
weka.FilteredClassifier_LMT (1)
Weka implementation of FilteredClassifier
43 runs0 likes0 downloads0 reach42 impact
weka.LMT (6)
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…
6 runs0 likes0 downloads0 reach6 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,linearsvc=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact