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weka.FilteredClassifier_CostSensitiveClassifier_SMO_PolyKernel (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach3 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
weka.Vote_RandomForest (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…
3 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_Logistic (2)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.DecisionTable (4)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
3 runs0 likes0 downloads0 reach1 impact
sklearn.neighbors.classification.KNeighborsClassifier (26)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,standardscaler=sklearn.preprocessing.data.StandardScaler,functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,featureagglomeration=sklearn.cluster.hierarchical.FeatureAgglomeration,sgdclassifier=sklearn.linear_model.stochastic_gradient.SGDClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (45)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVC) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(estimator=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
versus_full.hyperboost.HyperBoost (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
hpo.hyperboost.HyperBoost(estimator=lightgbm.sklearn.LGBMClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing._encoders.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (5)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(clf=keras.wrappers.scikit_learn.KerasClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes1 downloads1 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestClassifier (54)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach3 impact
weka.BayesianLogisticRegression (1)
Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization. URL http://www.stat.rutgers.edu/~madigan/PAPERS/shortFat-v3a.pdf.
3 runs0 likes2 downloads2 reach2 impact
weka.VotedPerceptron (2)
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.
3 runs0 likes3 downloads3 reach3 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_DecisionTable_BestFirst (2)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes1 downloads1 reach0 impact
weka.BayesNet_HillClimber (2)
Weka implementation of BayesNet
3 runs0 likes2 downloads2 reach2 impact
weka.FilteredClassifier_Discretize_J48 (2)
Weka implementation of FilteredClassifier
3 runs0 likes1 downloads1 reach0 impact
weka.Ridor (2)
Weka implementation of Ridor
3 runs0 likes2 downloads2 reach2 impact
weka.Vote_J48 (1)
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…
3 runs0 likes2 downloads2 reach2 impact
weka.Stacking_J48 (1)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes3 downloads3 reach3 impact
weka.LogitBoost_REPTree (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
3 runs0 likes3 downloads3 reach2 impact
weka.CostSensitiveClassifier_RandomForest (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes1 downloads1 reach0 impact
surv.coxph (1)
Learner surv.coxph from package(s) survival.
3 runs0 likes2 downloads2 reach2 impact
R.3.1.2.classif.kNN (1)
The performanceEstimation standardWF using kNN as the learner
3 runs0 likes1 downloads1 reach0 impact
classif.binomial (1)
Learner classif.binomial from package(s) stats.
3 runs0 likes1 downloads1 reach0 impact
classif.rpart (25)
Learner classif.rpart from package(s) rpart.
3 runs0 likes1 downloads1 reach0 impact
weka.Stacking_FS_Wrapper_NaiveBayes_J48_J48_J48_IBk_IBk_IBk_RandomForest_RandomForest_RandomForest (1)
No description
3 runs0 likes1 downloads1 reach0 impact
rm.process.parallel_decision_tree (1)
A RapidMiner Workflow.
3 runs0 likes1 downloads1 reach0 impact
classif.rpart (36)
Learner classif.rpart from package(s) rpart.
3 runs0 likes2 downloads2 reach3 impact
classif.nnet (1)
Learner classif.nnet from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
classif.pamr (1)
Learner classif.pamr from package(s) pamr.
3 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LogitBoost_REPTree (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_RandomCommittee_RandomTree (3)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach3 impact
classif.multinom (3)
Learner classif.multinom from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
classif.naiveBayes (3)
Learner classif.naiveBayes from package(s) e1071.
3 runs0 likes1 downloads1 reach0 impact
weka.Bagging_Logistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes1 downloads1 reach1 impact
weka.CostSensitiveClassifier_Vote_Bagging (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes2 downloads2 reach2 impact
classif.ctree (5)
Learner classif.ctree from package(s) party.
3 runs0 likes1 downloads1 reach0 impact
classif.gbm (4)
Learner classif.gbm from package(s) gbm.
3 runs0 likes1 downloads1 reach0 impact
classif.glmnet (2)
Learner classif.glmnet from package(s) !glmnet.
3 runs0 likes1 downloads1 reach0 impact
classif.IBk (6)
Learner classif.IBk from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.J48 (22)
Learner classif.J48 from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.JRip (8)
Learner classif.JRip from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.kknn (3)
Learner classif.kknn from package(s) !kknn.
3 runs0 likes1 downloads1 reach0 impact
classif.ksvm (5)
Learner classif.ksvm from package(s) kernlab.
3 runs0 likes1 downloads1 reach0 impact
classif.mda (2)
Learner classif.mda from package(s) !mda.
3 runs0 likes1 downloads1 reach0 impact
classif.nnet (4)
Learner classif.nnet from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
classif.OneR (5)
Learner classif.OneR from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.PART (5)
Learner classif.PART from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
classif.plr (5)
Learner classif.plr from package(s) stepPlr.
3 runs0 likes1 downloads1 reach0 impact
classif.randomForest (44)
Learner classif.randomForest from package(s) randomForest.
3 runs0 likes1 downloads1 reach0 impact
classif.randomForestSRC (4)
Learner classif.randomForestSRC from package(s) randomForestSRC.
3 runs0 likes1 downloads1 reach0 impact
classif.ranger (4)
Learner classif.ranger from package(s) ranger.
3 runs0 likes1 downloads1 reach0 impact
classif.rda (5)
Learner classif.rda from package(s) klaR.
3 runs0 likes1 downloads1 reach0 impact
classif.svm (6)
Learner classif.svm from package(s) e1071.
3 runs0 likes1 downloads1 reach0 impact
rm.process.parallel_decision_tree (2)
A RapidMiner Workflow.
3 runs0 likes1 downloads1 reach0 impact
moa.NaiveBayes (3)
Moa implementation of NaiveBayes
3 runs0 likes1 downloads1 reach0 impact
sklearn.tree.tree.ExtraTreeClassifier (26)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
keras.engine.training.Model.7736257d (2)
Automatically created keras flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.neighbors._classification.KNeighborsClassifier (1)
Classifier implementing the k-nearest neighbors vote.
3 runs0 likes0 downloads0 reach0 impact
sklearn.ensemble.forest.RandomForestRegressor (2)
A random forest regressor. A random forest is a meta estimator that fits a number of classifying decision trees on various sub-samples of the dataset and uses averaging to improve the predictive…
3 runs0 likes0 downloads0 reach0 impact
__main__.DecisionStumpClassifierV3 (1)
Decision Stump classifier V3 supports native nominal features
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Shapley-Blackbox=Framework.custom_sklearn_pipeline.CustomPipelineModel) (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…
3 runs0 likes1 downloads1 reach0 impact
sklearn.tree._classes.DecisionTreeClassifier (4)
A decision tree classifier.
3 runs0 likes0 downloads0 reach3 impact
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing._data.StandardScaler,svc=sklearn.svm._classes.SVC) (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…
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,rf=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
mxnet.gluon.nn.basic_layers.HybridSequential.75709f3c (1)
Automatically created MXNet flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (18)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach2 impact
mxnet.gluon.nn.basic_layers.HybridSequential.d2a63ca2 (1)
Automatically created MXNet flow.
3 runs0 likes0 downloads0 reach1 impact
onnx.onnx_ONNX_RELEASE_ml_pb2.ModelProto.bdb1f068 (1)
Automatically created ONNX flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_MultiSearch_RandomForest (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_MultiSearch_IBk (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_MultiSearch_IBk (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_NaiveBayes (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_FilteredClassifier_Vote_SimpleLogistic (1)
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_FilteredClassifier_AdaBoostM1_J48 (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.Bagging (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.Bagging_J48 (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.RotationForest_RandomForest (1)
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomTree (5)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.Stacking_SMO (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes0 downloads0 reach0 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_LMT (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_LMT (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
3 runs0 likes0 downloads0 reach3 impact
weka.RandomizableFilteredClassifier_Vote_ZeroR (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach1 impact
weka.RandomizableFilteredClassifier_MultiBoostAB_RandomTree (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_REPTree (8)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_SimpleLogistic (2)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes0 downloads0 reach3 impact
weka.RandomizableFilteredClassifier_AdaBoostM1_SimpleLogistic (1)
Weka implementation of RandomizableFilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,onehotencoder=sklearn.preprocessing.data.OneHotEncoder,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (2)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing.data.OneHotEncoder,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact