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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.
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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.
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weka.CostSensitiveClassifier_OneR (2)
Weka implementation of CostSensitiveClassifier
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sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
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weka.MultiClassClassifier_SMO_PolyKernel (1)
Weka implementation of MultiClassClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
weka.FilteredClassifier_Bagging_RandomForest (3)
Weka implementation of FilteredClassifier
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weka.CostSensitiveClassifier_AttributeSelectedClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
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weka.FilteredClassifier_CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,nusvc=sklearn.svm.classes.NuSVC) (1)
Automatically created scikit-learn flow.
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sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression) (1)
Automatically created scikit-learn flow.
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weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.BayesNet (3)
Weka implementation of BayesNet
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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_IBk (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
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weka.NaiveBayesMultinomialText (1)
Weka implementation of NaiveBayesMultinomialText
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weka.CVParameterSelection_RandomForest (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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weka.FilteredClassifier_CostSensitiveClassifier_RandomForest (3)
Weka implementation of FilteredClassifier
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weka.NaiveBayesUpdateable (12)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_REPTree (27)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_Logistic (1)
Weka implementation of CostSensitiveClassifier
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weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Logistic (1)
Weka implementation of FilteredClassifier
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weka.CostSensitiveClassifier_FilteredClassifier_Bagging_Logistic (1)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_FilteredClassifier_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.
2 runs0 likes0 downloads0 reach0 impact
weka.JRip (8)
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
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weka.CostSensitiveClassifier_RandomForest (6)
Weka implementation of CostSensitiveClassifier
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keras.wrappers.scikit_learn.KerasClassifier (8)
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) (18)
Automatically created scikit-learn flow.
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sklearn.dummy.DummyClassifier (8)
Automatically created scikit-learn flow.
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keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,AveragePooling2D,Flatten,Dense) (3)
Automatically created scikit-learn flow.
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,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.
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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (20)
Automatically created scikit-learn flow.
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sklearn.neighbors.classification.KNeighborsClassifier (28)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (8)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(preprocessing=sklearn.compose._column_transformer.ColumnTransformer(imputer=sklearn.impute.SimpleImputer,cat_encoder=category_encoders.target_encoder.TargetEncoder),algorithm=sklearn.naive_bayes.GaussianNB) (2)
Automatically created scikit-learn flow.
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mlr.classif.randomForest (45)
Learner mlr.classif.randomForest from package(s) randomForest.
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sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (16)
Automatically created scikit-learn flow.
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keras.engine.sequential.Sequential.4df9d1a7c812f85d (1)
Automatically created keras flow.
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keras.engine.training.Model.4a68246f249b3a33 (1)
Automatically created keras flow.
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fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(my_pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(V3=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)),classifier=sklearn.linear_model.logistic.LogisticRegression)) (1)
Automatically created scikit-learn flow.
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sklearn.ensemble.forest.RandomForestClassifier (53)
Automatically created scikit-learn flow.
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sklearn.neighbors.classification.KNeighborsClassifier (38)
Automatically created scikit-learn flow.
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torch.nn.modules.container.Sequential.729a7069263fa6d5 (1)
Automatically created pytorch flow.
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torch.nn.modules.container.Sequential.76a66495193bbf33 (1)
Automatically created pytorch flow.
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mlr.classif.rpart (55)
Learner mlr.classif.rpart from package(s) rpart.
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sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
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weka.A1DE (1)
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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weka.A2DE (1)
Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive…
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree (2)
Weka implementation of AttributeSelectedClassifier
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_JRip (2)
Weka implementation of AttributeSelectedClassifier
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weka.SimpleCart (2)
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
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weka.CostSensitiveClassifier_J48 (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.MultiClassClassifierUpdateable_SGD (2)
Weka implementation of MultiClassClassifierUpdateable
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weka.CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_ZeroR (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_BayesNet_K2 (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes2 downloads2 reach1 impact
weka.Bagging_CostSensitiveClassifier_OneR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_Stacking_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LogitBoost_REPTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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weka.CostSensitiveClassifier_LogitBoost_REPTree (1)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_LogitBoost_RandomSubSpace_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
classif.lda (2)
Learner classif.lda from package(s) MASS.
2 runs0 likes1 downloads1 reach0 impact
weka.IsolationForest (3)
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou: Isolation Forest. In: ICDM, 413-422, 2008.
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R.3.1.2.classif.rpart (1)
The performanceEstimation standardWF using rpart as the learner
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R.3.1.2.classif.randomForest (1)
The performanceEstimation standardWF using randomForest as the learner
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classif.randomForest (2)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.rpart (4)
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach1 impact
classif.sda.tuned (4)
Learner classif.sda.tuned from package(s) sda.
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classif.rpart (18)
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach2 impact
classif.randomForest (18)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes2 downloads2 reach1 impact
classif.randomForest (19)
Learner classif.randomForest from package(s) randomForest.
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classif.randomForest (21)
Learner classif.randomForest from package(s) randomForest.
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classif.rpart (22)
Learner classif.rpart from package(s) rpart.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (25)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
weka.Stacking (1)
No description
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weka.Stacking_NaiveBayes_J48_J48_J48_IBk_IBk_IBk_RandomForest_RandomForest_RandomForest (1)
No description
2 runs0 likes1 downloads1 reach0 impact
rm.process.bagging_parallel_decision_tree (1)
A RapidMiner Workflow.
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weka.REPTree (14)
Weka implementation of REPTree
2 runs0 likes1 downloads1 reach0 impact
classif.binomial (2)
Learner classif.binomial from package(s) stats.
2 runs0 likes1 downloads1 reach0 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
classif.logreg (4)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.mlp (1)
Learner classif.mlp from package(s) RSNNS.
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classif.plsdaCaret (1)
Learner classif.plsdaCaret from package(s) caret.
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classif.ranger (1)
Learner classif.ranger from package(s) ranger.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach2 impact
classif.multinom (1)
Learner classif.multinom from package(s) nnet.
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_RandomSubSpace_REPTree (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_CostSensitiveClassifier_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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example_implementation (2)
example implementation description
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weka.AdditiveRegression_REPTree (2)
J.H. Friedman (1999). Stochastic Gradient Boosting.
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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
classif.binomial (6)
Learner classif.binomial from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.boosting (5)
Learner classif.boosting from package(s) adabag, rpart.
2 runs0 likes1 downloads1 reach0 impact
classif.cforest (5)
Learner classif.cforest from package(s) party.
2 runs0 likes1 downloads1 reach0 impact
classif.logreg (8)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact