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weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
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weka.CostSensitiveClassifier_AdaBoostM1_REPTree (8)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_RandomForest (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_MultilayerPerceptron (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
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weka.AttributeSelectedClassifier_CostSensitiveClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
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sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.MultiSearch_RandomizableFilteredClassifier_BayesNet (1)
Weka implementation of MultiSearch
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weka.MultiSearch_RandomizableFilteredClassifier_RandomizableFilteredClassifier_BayesNet (1)
Weka implementation of MultiSearch
2 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_Vote_LMT (1)
Weka implementation of RandomizableFilteredClassifier
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weka.RandomizableFilteredClassifier_Vote_RandomForest (1)
Weka implementation of RandomizableFilteredClassifier
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weka.Vote_RandomizableFilteredClassifier (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…
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weka.FilteredClassifier_CostSensitiveClassifier_SimpleLogistic (2)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_Bagging_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_AdaBoostM1_CostSensitiveClassifier_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
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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.CostSensitiveClassifier_NaiveBayes (5)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_CostSensitiveClassifier_RandomTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_RandomTree (2)
Weka implementation of RandomizableFilteredClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (4)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_RandomizableFilteredClassifier_LMT (1)
Weka implementation of FilteredClassifier
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weka.RandomizableFilteredClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of RandomizableFilteredClassifier
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extra.neural_network.NeuralNetwork (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,svc=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (2)
Automatically created scikit-learn flow.
2 runs0 likes1 downloads1 reach0 impact
wrapper.optimus.OptimusCV (1)
Automatically created scikit-learn flow.
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nl.liacs.subdisc.SubgroupDiscovery (1)
Subgroup Discovery search algorithm.
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mlr.classif.gbm (3)
Learner mlr.classif.gbm from package(s) gbm.
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weka.AttributeSelectedClassifier_LogitBoost_DecisionStump (2)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes0 downloads0 reach2 impact
sklearn.svm.classes.SVC (10)
Automatically created scikit-learn flow.
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sklearn.tree.tree.DecisionTreeClassifier (11)
Automatically created scikit-learn flow.
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sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.linear_model.logistic.LogisticRegression (7)
Automatically created scikit-learn flow.
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weka.AttributeSelectedClassifier_Bagging_BayesNet (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_RandomCommittee_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_Vote_SMO (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_Vote_SimpleLogistic (1)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_AdaBoostM1_DecisionTable (1)
Weka implementation of AttributeSelectedClassifier
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mlr.classif.cforest (4)
Learner mlr.classif.cforest from package(s) party.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (4)
Automatically created scikit-learn flow.
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sklearn.ensemble.forest.RandomForestClassifier (23)
Automatically created scikit-learn flow.
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mlr.classif.randomForestSRC.imputed.preproc (1)
Learner mlr.classif.randomForestSRC.imputed.preproc from package(s) randomForestSRC.
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__main__.PythonChallengeClassifier (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (6)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.tree.tree.ExtraTreeClassifier (4)
Automatically created scikit-learn flow.
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC) (2)
Automatically created scikit-learn flow.
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mlr.classif.randomForest (34)
Learner mlr.classif.randomForest from package(s) randomForest.
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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
sklearn.tree.tree.ExtraTreeClassifier (9)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (11)
Automatically created scikit-learn flow.
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mlr.classif.glmnet (12)
Learner mlr.classif.glmnet from package(s) glmnet.
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mlr.classif.kknn (15)
Learner mlr.classif.kknn from package(s) !kknn.
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mlr.classif.rpart (44)
Learner mlr.classif.rpart from package(s) rpart.
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mlr.classif.ctree (16)
Learner mlr.classif.ctree from package(s) party.
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sklearn.svm.classes.LinearSVC (5)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
mlr.classif.ranger (17)
Learner mlr.classif.ranger from package(s) ranger.
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weka.MultilayerPerceptron (10)
Weka implementation of MultilayerPerceptron
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (14)
Automatically created scikit-learn flow.
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xgboost.sklearn.XGBClassifier (5)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.svm.classes.LinearSVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.naive_bayes.GaussianNB (7)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,reg=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.Normalizer,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(other=sklearn.ensemble.forest.RandomForestClassifier,lr=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.naive_bayes.BernoulliNB) (1)
Automatically created scikit-learn flow.
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sklearn.naive_bayes.BernoulliNB (4)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,reg=sklearn.linear_model.logistic.LogisticRegression)) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (12)
Learner mlr.classif.rpart.tuned from package(s) rpart.
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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.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,feat=sklearn.feature_selection.univariate_selection.SelectKBest,clf=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier) (2)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier)) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Classifier=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.neural_network.multilayer_perceptron.MLPClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier)) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Binarizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.svm.classes.SVC) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Classifier2=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier),svc=sklearn.pipeline.Pipeline(Classifier3=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Classifier=sklearn.neighbors.classification.KNeighborsClassifier) (3)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,logistic=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(bg=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier),rbf=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.voting_classifier.VotingClassifier(bg=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier),clf=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB) (1)
Automatically created scikit-learn flow.
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