OpenML
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classif.randomForest (22)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
classif.ksvm (1)
Learner classif.ksvm from package(s) kernlab.
1 runs0 likes1 downloads1 reach0 impact
classif.randomForest (23)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
weka.J48 (29)
No description
1 runs0 likes1 downloads1 reach0 impact
weka.Stacking_test_NaiveBayes_J48_J48_J48_IBk_IBk_IBk_RandomForest_RandomForest_RandomForest (1)
No description
1 runs0 likes1 downloads1 reach0 impact
weka.J48Smote (1)
No description
1 runs0 likes1 downloads1 reach0 impact
moa.WeightedMajorityAlgorithm (1)
Moa implementation of WeightedMajorityAlgorithm
1 runs0 likes1 downloads1 reach0 impact
regr.rpart (4)
Learner regr.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 impact
classif.IBk (3)
Learner classif.IBk from package(s) RWeka.
1 runs0 likes1 downloads1 reach0 impact
weka.LogitBoost_REPTree (4)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach1 impact
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_ReliefFAttributeEval_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
classif.lqa (3)
Learner classif.lqa from package(s) lqa.
1 runs0 likes1 downloads1 reach0 impact
classif.mlp (3)
Learner classif.mlp from package(s) RSNNS.
1 runs0 likes1 downloads1 reach0 impact
classif.neuralnet (1)
Learner classif.neuralnet from package(s) neuralnet.
1 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_AdaBoostM1_RandomForest (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.HMM (1)
Weka implementation of HMM
1 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree (3)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.MultiScheme_ZeroR (2)
Weka implementation of MultiScheme
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LinearRegression (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.Vote_Bagging_REPTree (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…
1 runs0 likes1 downloads1 reach0 impact
weka.Bagging_M5P (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.Vote_ZeroR (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…
1 runs0 likes1 downloads1 reach0 impact
classif.dbnDNN (4)
Learner classif.dbnDNN from package(s) deepnet.
1 runs0 likes1 downloads1 reach0 impact
classif.extraTrees (4)
Learner classif.extraTrees from package(s) extraTrees.
1 runs0 likes1 downloads1 reach0 impact
classif.hdrda (3)
Learner classif.hdrda from package(s) sparsediscrim.
1 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL1LogReg (5)
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
1 runs0 likes1 downloads1 reach0 impact
classif.LiblineaRL2LogReg (5)
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
1 runs0 likes1 downloads1 reach0 impact
classif.nnTrain (4)
Learner classif.nnTrain from package(s) deepnet.
1 runs0 likes1 downloads1 reach0 impact
classif.nodeHarvest (4)
Learner classif.nodeHarvest from package(s) nodeHarvest.
1 runs0 likes1 downloads1 reach0 impact
classif.pamr (4)
Learner classif.pamr from package(s) pamr.
1 runs0 likes1 downloads1 reach0 impact
classif.plsdaCaret (4)
Learner classif.plsdaCaret from package(s) caret.
1 runs0 likes1 downloads1 reach0 impact
classif.qda (3)
Learner classif.qda from package(s) MASS.
1 runs0 likes1 downloads1 reach0 impact
classif.saeDNN (4)
Learner classif.saeDNN from package(s) deepnet.
1 runs0 likes1 downloads1 reach0 impact
classif.sda (6)
Learner classif.sda from package(s) sda.
1 runs0 likes1 downloads1 reach0 impact
classif.sparseLDA (2)
Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
1 runs0 likes1 downloads1 reach0 impact
weka.MIBoost_ZeroR (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.FilteredClassifier_ReplaceMissingValues_MIWrapper (1)
Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
classif.randomForestSRC (6)
Learner classif.randomForestSRC from package(s) randomForestSRC.
1 runs0 likes1 downloads1 reach0 impact
rm.process.logistic_regression (1)
A RapidMiner Workflow.
1 runs0 likes2 downloads2 reach0 impact
rm.process.support_vector_machine (1)
A RapidMiner Workflow.
1 runs0 likes1 downloads1 reach0 impact
classif.rpart (42)
Learner classif.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 impact
classif.randomForest (48)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
moa.NaiveBayesMultinomial (2)
Moa implementation of NaiveBayesMultinomial
1 runs0 likes1 downloads1 reach0 impact
classif.rpart (43)
Learner classif.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 impact
classif.PART.bagged (1)
Learner classif.PART.bagged from package(s) RWeka.
1 runs0 likes1 downloads1 reach0 impact
classif.J48.bagged (1)
Learner classif.J48.bagged from package(s) RWeka.
1 runs0 likes1 downloads1 reach0 impact
classif.naiveBayes.bagged (2)
Learner classif.naiveBayes.bagged from package(s) e1071.
1 runs0 likes1 downloads1 reach0 impact
moa.StackingAttemptV2_Perceptron (2)
Moa implementation of StackingAttemptV2
1 runs0 likes1 downloads1 reach0 impact
moa.StackingAttemptV2_SPegasos (2)
Moa implementation of StackingAttemptV2
1 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_NaiveBayes (4)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
moa.BlastDecayed (5)
Moa implementation of BlastDecayed
1 runs0 likes1 downloads1 reach0 impact
openml.evaluation.area_under_roc_curve (1)
An implementation of the evaluation measure "area_under_roc_curve"
1 runs0 likes1 downloads1 reach1 impact
sklearn.pipeline.C378f4598cf6497(n3=sklearn.compose._column_transformer.C58e53c27b22fa(n4=sklearn.preprocessing._function_transformer.C378f4598cf5b7b),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C58e53c27b2355,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C58e54412c194d(n1=sklearn.compose._column_transformer.C378f4a8bb8f1fb(n2=sklearn.preprocessing._function_transformer.C378f4a8bb8e8d8),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f4a8f3c1ca5(n3=sklearn.pipeline.C58e5441860268(n4=sklearn.pipeline.C378f4a8f3c0d53(n5=sklearn.compose._column_transformer.C378f4a8f3c0b39(n6=sklearn.preprocessing._function_transformer.C378f4a8f3c0959)),n7=sklearn.pipeline.C378f4a8f3c158a(n8=sklearn.compose._column_transformer.C378f4a8f3c1457(n9=sklearn.preprocessing._function_transformer.C378f4a8f3c1372))),n10=fastsklearnfeature.transformations.IdentityTransformation.C58e54418602c1,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f4a9e9f4185(n11=sklearn.pipeline.C378f4a9e9f3cee(n12=sklearn.pipeline.Ce3929a1706f(n13=sklearn.compose._column_transformer.C378f4a9e9f2f50(n14=sklearn.preprocessing._function_transformer.C378f4a9e9f2cec)),n15=sklearn.pipeline.C378f4a9e9f3a7b(n16=sklearn.compose._column_transformer.C58e54430fec1d(n17=sklearn.preprocessing._function_transformer.C378f4a9e9f3830))),n18=fastsklearnfeature.transformations.IdentityTransformation.C378f4a9e9f403c,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f4ab5c0a3dd(n19=sklearn.pipeline.C58e5445600fe3(n20=sklearn.pipeline.C378f4ab5c091e3(n21=sklearn.compose._column_transformer.C58e5445600e09(n22=sklearn.preprocessing._function_transformer.C378f4ab5c089e6),n23=fastsklearnfeature.transformations.OneDivisionTransformation.C58e5445600e66),n24=sklearn.pipeline.C378f4ab5c09bed(n25=sklearn.compose._column_transformer.C378f4ab5c09a85(n26=sklearn.preprocessing._function_transformer.C378f4ab5c0995e))),n27=fastsklearnfeature.transformations.HigherOrderCommutativeTransformation.C378f4ab5c0a2c8,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f54f7c89151(n1=sklearn.compose._column_transformer.C378f54f7c88f0e(n2=sklearn.preprocessing._function_transformer.C58e554bfa7488),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C58e554c61436a(n3=sklearn.compose._column_transformer.C378f54fbcc9b60(n4=sklearn.preprocessing._function_transformer.C378f54fbcc994d),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C378f54fbcc9ede,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f594899132a(n1=sklearn.impute.SimpleImputer,n2=sklearn.preprocessing._encoders.OneHotEncoder,n3=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f59511b66d5(n4=sklearn.impute.SimpleImputer,n5=sklearn.preprocessing._encoders.OneHotEncoder,n6=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f595acf2e4d(n7=sklearn.impute.SimpleImputer,n8=sklearn.preprocessing._encoders.OneHotEncoder,n9=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f59622361cd(n10=sklearn.impute.SimpleImputer,n11=sklearn.preprocessing._encoders.OneHotEncoder,n12=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f596af8ea8a(n13=sklearn.impute.SimpleImputer,n14=sklearn.preprocessing._encoders.OneHotEncoder,n15=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f59747ffcdf(n16=sklearn.impute.SimpleImputer,n17=sklearn.preprocessing._encoders.OneHotEncoder,n18=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f597d1e51a8(n19=sklearn.impute.SimpleImputer,n20=sklearn.preprocessing._encoders.OneHotEncoder,n21=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C58e55c0afe0ed(n22=sklearn.impute.SimpleImputer,n23=sklearn.preprocessing._encoders.OneHotEncoder,n24=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f5990b430a3(n25=sklearn.impute.SimpleImputer,n26=sklearn.preprocessing._encoders.OneHotEncoder,n27=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.C378f599b19c700(n28=sklearn.impute.SimpleImputer,n29=sklearn.preprocessing._encoders.OneHotEncoder,n30=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f5a0198405e(n98=sklearn.compose._column_transformer.C378f5a01983742(n99=sklearn.preprocessing._function_transformer.C378f5a01983094),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f5a05e0e671(n100=sklearn.pipeline.C378f5a05e0e136(n101=sklearn.pipeline.C378f5a05e0d2a5(n102=sklearn.compose._column_transformer.C378f5a05e0cfbd(n103=sklearn.preprocessing._function_transformer.C378f5a05e0cd24)),n104=sklearn.pipeline.C378f5a05e0ddc3(n105=sklearn.compose._column_transformer.C378f5a05e0dbee(n106=sklearn.preprocessing._function_transformer.C378f5a05e0da8a))),n107=fastsklearnfeature.transformations.IdentityTransformation.C58e55cd634a1c,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C58e58a0327c95(n1=sklearn.compose._column_transformer.C378f7641f8d236(n2=sklearn.preprocessing._function_transformer.C378f7641f8c95d),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f768a151026(n1=sklearn.compose._column_transformer.C378f768a150db8(n2=sklearn.preprocessing._function_transformer.C378f768a150be2),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C58e58a92eeea5(n3=sklearn.compose._column_transformer.C378f769bd54be0(n4=sklearn.preprocessing._function_transformer.C378f769bd549b7),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C378f769bd54f71,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f97ac8c2be3(n1=sklearn.compose._column_transformer.C378f97ac8c25d6(n2=sklearn.preprocessing._function_transformer.C378f97ac8c2107),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C8e3c65a4d80b(n3=sklearn.compose._column_transformer.C58e5bf8706f0a(n4=sklearn.preprocessing._function_transformer.C378f97b4645230),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C58e5bf8706fcc,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C58e5bfedfc3ab(n1=sklearn.compose._column_transformer.C378f97f4bd9f62(n2=sklearn.preprocessing._function_transformer.C378f97f4bd9bc0),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f97fc8bd7d5(n3=sklearn.compose._column_transformer.C378f97fc8bc9a6(n4=sklearn.preprocessing._function_transformer.C58e5bffa793be),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C58e5bffa794f9,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f982886f788(n6=sklearn.compose._column_transformer.C378f982886f288(n7=sklearn.preprocessing._function_transformer.C378f982886eea1),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f98309873b9(n8=sklearn.pipeline.C378f983098689b(n9=sklearn.pipeline.C58e5c04dc07d9(n10=sklearn.compose._column_transformer.C58e5c04dc074e(n11=sklearn.preprocessing._function_transformer.C378f98309844ed)),n12=sklearn.pipeline.C378f98309861b6(n13=sklearn.compose._column_transformer.C378f9830985e4e(n14=sklearn.preprocessing._function_transformer.C378f9830985c19))),n15=fastsklearnfeature.transformations.IdentityTransformation.C378f98309870e9,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C58e5c0701e700(n1=sklearn.compose._column_transformer.C378f98461302f6(n2=sklearn.preprocessing._function_transformer.C378f98461300a9),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C378f984be18f4b(n3=sklearn.compose._column_transformer.C378f984be181b2(n4=sklearn.preprocessing._function_transformer.C378f984be17d83),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C378f984be188ec,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37900d8d0abd61(n1=sklearn.compose._column_transformer.C37900d8d0ab827(n2=sklearn.preprocessing._function_transformer.C37900d8d0ab437),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37900d9fc1c768(n1=sklearn.compose._column_transformer.C37900d9fc1c1ca(n2=sklearn.preprocessing._function_transformer.C37900d9fc1be00),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37900da7aed3d1(n3=sklearn.compose._column_transformer.C37900da7aec621(n4=sklearn.preprocessing._function_transformer.C37900da7aec17d),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C58e67c3f7e15f,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37900e2f6cc61a(n1=sklearn.compose._column_transformer.C37900e2f6cc052(n2=sklearn.preprocessing._function_transformer.C8e3d94f44990),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C3790331302dfdc(n1=sklearn.compose._column_transformer.C58e6b81e6afbf(n2=sklearn.preprocessing._function_transformer.C3790331302db4e),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C3790336de76d64(n3=sklearn.compose._column_transformer.C3790336de7651a(n4=sklearn.preprocessing._function_transformer.C58e6b8afd89ce),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C3790336de769a6,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37905d9a939ec5(n1=sklearn.compose._column_transformer.C58e6fc2a85c69(n2=sklearn.preprocessing._function_transformer.C37905d9a939a16),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37905d9eedc84a(n3=sklearn.compose._column_transformer.C37905d9eedc20d(n4=sklearn.preprocessing._function_transformer.C58e6fc317c66d),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C37905d9eedc583,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37905dfe722e07(n1=sklearn.compose._column_transformer.C37905dfe72297e(n2=sklearn.preprocessing._function_transformer.C37905dfe7225fd),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37905e03f5b515(n3=sklearn.compose._column_transformer.C37905e03f5ae35(n4=sklearn.preprocessing._function_transformer.C37905e03f5abaa),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C37905e03f5b1f3,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C58e7052741bf3(n1=sklearn.compose._column_transformer.C37906338891235(n2=sklearn.preprocessing._function_transformer.C37906338890e36),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C37906344cb0707(n3=sklearn.compose._column_transformer.C37906344caf9c4(n4=sklearn.preprocessing._function_transformer.C58e7053ade554),n5=fastsklearnfeature.transformations.mdlp_discretization.MDLPDiscretizerTransformation.C37906344cb012e,c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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mlr.classif.rpart.tuned (15)
Learner mlr.classif.rpart.tuned from package(s) rpart.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (20)
Automatically created scikit-learn flow.
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sklearn.pipeline.C3792c513fca25b(n1=sklearn.compose._column_transformer.C3792c513fca01f(n2=sklearn.preprocessing._function_transformer.C3792c513fc9e0e),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.C3794029bd4faeb(n1=sklearn.compose._column_transformer.C3794029bd4f7b2(n2=sklearn.preprocessing._function_transformer.C3794029bd4f483),c=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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