OpenML
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21333 results
sklearn.tree._classes.ExtraTreeClassifier (2)
An extremely randomized tree classifier. Extra-trees differ from classic decision trees in the way they are built. When looking for the best split to separate the samples of a node into two groups,…
3 runs0 likes0 downloads0 reach2 impact
sklearn.tree._classes.DecisionTreeClassifier (12)
A decision tree classifier.
2 runs0 likes0 downloads0 reach2 impact
sklearn.linear_model._logistic.LogisticRegression (6)
Logistic Regression (aka logit, MaxEnt) classifier. In the multiclass case, the training algorithm uses the one-vs-rest (OvR) scheme if the 'multi_class' option is set to 'ovr', and uses the…
2 runs0 likes0 downloads0 reach2 impact
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (16)
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…
5 runs0 likes0 downloads0 reach2 impact
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (1)
Flow generated by run_task
2 runs0 likes2 downloads2 reach1 impact
mlr.classif.randomForest.filtered.oversampled (1)
Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForestSRC, randomForest.
2 runs0 likes2 downloads2 reach1 impact
weka.AdaBoostM1_IBk (5)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
176 runs0 likes0 downloads0 reach1 impact
weka.AdaBoostM1_RandomTree (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
146 runs0 likes1 downloads1 reach1 impact
weka.LWL_DecisionStump (4)
Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally…
134 runs0 likes0 downloads0 reach1 impact
weka.AttributeSelectedClassifier_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach1 impact
mlr.classif.randomForest (8)
Learner mlr.classif.randomForest from package(s) randomForest.
15 runs0 likes0 downloads0 reach1 impact
mlr.classif.rpart (13)
Learner mlr.classif.rpart from package(s) rpart.
2 runs0 likes0 downloads0 reach1 impact
mlr.classif.rpart (18)
Learner mlr.classif.rpart from package(s) rpart.
1 runs0 likes0 downloads0 reach1 impact
weka.DecisionStump (6)
Weka implementation of DecisionStump
1 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_LMT (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_HoeffdingTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_RandomTree (4)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach1 impact
weka.RandomTree (12)
Weka implementation of RandomTree
1 runs0 likes0 downloads0 reach1 impact
weka.Bagging_DecisionStump (5)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_J48 (5)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.FilteredClassifier_Bagging_LogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach1 impact
weka.RandomCommittee_Bagging_LogitBoost_DecisionStump (1)
Weka implementation of RandomCommittee
2 runs0 likes0 downloads0 reach1 impact
weka.Bagging_REPTree (25)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_Bagging_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.RandomSubSpace_SimpleLogistic (1)
Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL…
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_LogitBoost_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach1 impact
__main__.Classifier (1)
Flow generated by run_task
6 runs0 likes0 downloads0 reach1 impact
sklearn.naive_bayes.GaussianNB (1)
Automatically created sub-component.
2 runs0 likes0 downloads0 reach1 impact
xgboost.sklearn.XGBClassifier (3)
Automatically created sub-component.
11 runs0 likes0 downloads0 reach1 impact
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach1 impact
mlr.classif.rpart (30)
Learner mlr.classif.rpart from package(s) rpart.
1 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach1 impact
sklearn.ensemble.weight_boosting.AdaBoostClassifier (5)
Automatically created sub-component.
2 runs0 likes0 downloads0 reach1 impact
mlr.classif.glmnet (4)
Learner mlr.classif.glmnet from package(s) glmnet.
4556 runs0 likes0 downloads0 reach1 impact
weka.LogitBoost_DecisionStump (11)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
4 runs0 likes0 downloads0 reach1 impact
mlr.classif.ranger (7)
Learner mlr.classif.ranger from package(s) ranger.
2442 runs0 likes0 downloads0 reach1 impact
mlr.classif.xgboost (4)
Learner mlr.classif.xgboost from package(s) xgboost.
3387 runs0 likes0 downloads0 reach1 impact
weka.AutoWEKAClassifier (2)
Weka implementation of AutoWEKAClassifier
1 runs1 likes1 downloads2 reach1 impact
weka.Stacking_ZeroR (3)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
2 runs0 likes0 downloads0 reach1 impact
mlr.classif.ranger (9)
Learner mlr.classif.ranger from package(s) ranger.
573666 runs0 likes3 downloads3 reach1 impact
mlr.classif.glmnet (5)
Learner mlr.classif.glmnet from package(s) glmnet.
106003 runs0 likes3 downloads3 reach1 impact
mlr.classif.xgboost (6)
Learner mlr.classif.xgboost from package(s) xgboost.
75581 runs0 likes1 downloads1 reach1 impact
weka.SGD (6)
Weka implementation of SGD
1 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_MultilayerPerceptron (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.MultiClassClassifier_SMO_PolyKernel (1)
Weka implementation of MultiClassClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_FilteredClassifier_Logistic (1)
Weka implementation of CostSensitiveClassifier
6 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.AdaBoostM1_DecisionStump (17)
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 likes0 downloads0 reach1 impact
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_IBk (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.CVParameterSelection_RandomForest (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
2 runs0 likes0 downloads0 reach1 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_Logistic (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.AdaBoostM1_Logistic (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 likes0 downloads0 reach1 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
weka.CostSensitiveClassifier_Logistic (4)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach1 impact
weka.MultiBoostAB_RandomForest (3)
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
1 runs0 likes0 downloads0 reach1 impact
sklearn.tree.tree.ExtraTreeClassifier (17)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (18)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.ensemble.forest.RandomForestClassifier) (20)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (6)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (7)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 impact
sklearn.tree.tree.ExtraTreeClassifier (23)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 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.neighbors.classification.KNeighborsClassifier (34)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach1 impact
sklearn.ensemble.forest.RandomForestClassifier (49)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 impact
mlr.classif.randomForest (45)
Learner mlr.classif.randomForest from package(s) randomForest.
2 runs0 likes0 downloads0 reach1 impact
sklearn.tree.tree.DecisionTreeClassifier (37)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier) (6)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach1 impact
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier) (16)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach1 impact
keras.engine.sequential.Sequential.3004bddd (1)
Automatically created keras flow.
10 runs0 likes0 downloads0 reach1 impact
keras.engine.sequential.Sequential.c43a9103 (1)
Automatically created keras flow.
8 runs0 likes0 downloads0 reach1 impact
weka.AdaBoostM1_SMO_PolyKernel (2)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2099 runs0 likes2 downloads2 reach1 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree (2)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.SimpleCart (2)
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
2 runs0 likes2 downloads2 reach1 impact
moa.ORTO (1)
Moa implementation of ORTO
101 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_J48 (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.Bagging_BayesNet_K2 (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_LogitBoost_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_LogitBoost_RandomSubSpace_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
moa.ADACC_NaiveBayes (1)
Moa implementation of ADACC
171 runs0 likes2 downloads2 reach1 impact
moa.LeveragingBag_RuleClassifier (1)
Moa implementation of LeveragingBag
20 runs0 likes2 downloads2 reach1 impact
moa.OzaBag_kNN (1)
Moa implementation of OzaBag
73 runs0 likes2 downloads2 reach1 impact
classif.rpart (4)
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach1 impact
classif.randomForest (13)
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach1 impact
classif.rpart (20)
Learner classif.rpart from package(s) rpart.
6 runs0 likes2 downloads2 reach1 impact
classif.randomForest (18)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes2 downloads2 reach1 impact
classif.randomForest (37)
Learner classif.randomForest from package(s) randomForest.
5 runs0 likes2 downloads2 reach1 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.FilteredClassifier_ReplaceMissingValues_HNB (1)
Weka implementation of FilteredClassifier
39 runs0 likes2 downloads2 reach1 impact
weka.A1DE (28)
G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
233 runs0 likes2 downloads2 reach1 impact
weka.A2DEUpdateable (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…
50 runs0 likes2 downloads2 reach1 impact
weka.Bagging_Logistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes1 downloads1 reach1 impact
classif.gbm (3)
Learner classif.gbm from package(s) gbm.
297 runs0 likes2 downloads2 reach1 impact
classif.rpart (38)
Learner classif.rpart from package(s) rpart.
293 runs0 likes2 downloads2 reach1 impact
classif.boosting (6)
Learner classif.boosting from package(s) adabag, rpart.
121 runs0 likes2 downloads2 reach1 impact
classif.JRip (9)
Learner classif.JRip from package(s) RWeka.
140 runs0 likes2 downloads2 reach1 impact
classif.ksvm (6)
Learner classif.ksvm from package(s) kernlab.
129 runs0 likes2 downloads2 reach1 impact
classif.multinom (6)
Learner classif.multinom from package(s) nnet.
118 runs0 likes2 downloads2 reach1 impact
classif.OneR (6)
Learner classif.OneR from package(s) RWeka.
139 runs0 likes2 downloads2 reach1 impact
classif.nnet (5)
Learner classif.nnet from package(s) nnet.
123 runs0 likes2 downloads2 reach1 impact