OpenML
ID's
Sort: lowest reach
20895 results
classif.randomForest (52)
Learner classif.randomForest from package(s) randomForest.
0 runs0 likes0 downloads0 reach0 impact
classif.randomForest (53)
Learner classif.randomForest from package(s) randomForest.
0 runs0 likes0 downloads0 reach0 impact
classif.rpart (46)
Learner classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_REPTree (21)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.SMO_PolyKernel (13)
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_DecisionStump (15)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomForest (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_IBk (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes0 downloads0 reach175 impact
weka.MathParameter (1)
Weka implementation of MathParameter
0 runs0 likes0 downloads0 reach0 impact
weka.J48 (35)
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1 (2)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.SMO (1)
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
moa.HoeffdingTree (6)
Moa implementation of HoeffdingTree
0 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (5)
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (1)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest.filtered.oversampled (2)
Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForestSRC, randomForest.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_SMO_PolyKernel (1)
Weka implementation of AttributeSelectedClassifier
136 runs0 likes0 downloads0 reach0 impact
weka.SMO_PolyKernel (14)
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_J48 (1)
Weka implementation of AttributeSelectedClassifier
140 runs0 likes0 downloads0 reach3 impact
mlr.classif.randomForest.filtered (4)
Learner mlr.classif.randomForest.filtered from package(s) randomForestSRC, randomForest.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (3)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (2)
Learner mlr.classif.rpart.preproc from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_JRip (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999openml.sklearn.model_selection.KFold (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.pipeline.Pipeline(sklearn.preprocessing.data.OneHotEncoder__sklearn.preprocessing.data.StandardScaler__sklearn.pipeline.FeatureUnion(sklearn.preprocessing.data.PolynomialFeatures__sklearn.decomposition.pca.PCA)__sklearn.ensemble.weight_boosting.AdaBoostClassifier(sklearn.tree.tree.DecisionTreeClassifier)) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.preprocessing.data.OneHotEncoder (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.preprocessing.data.StandardScaler (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.pipeline.FeatureUnion(sklearn.preprocessing.data.PolynomialFeatures__sklearn.decomposition.pca.PCA) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.preprocessing.data.PolynomialFeatures (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.decomposition.pca.PCA (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.ensemble.weight_boosting.AdaBoostClassifier(sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
325b3936TESTSENTINEL999sklearn.tree.tree.DecisionTreeClassifier (1)
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc.filtered (2)
Learner mlr.classif.rpart.preproc.filtered from package(s) randomForestSRC, rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (4)
Learner mlr.classif.rpart.preproc from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
classif.rpart (50)
Learner classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc.filtered (3)
Learner mlr.classif.rpart.preproc.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.tuned (1)
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_LinearRegression (1)
Weka implementation of MultiSearch
5 runs0 likes0 downloads0 reach0 impact
weka.LinearRegression (7)
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.logreg.preproc.filtered (1)
Learner mlr.classif.logreg.preproc.filtered from package(s) stats.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.logreg.preproc (1)
Learner mlr.classif.logreg.preproc from package(s) stats.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_J48 (2)
Weka implementation of MultiSearch
6 runs0 likes0 downloads0 reach0 impact
mlr.classif.randomForest.filtered (5)
Learner mlr.classif.randomForest.filtered from package(s) randomForest.
1 runs0 likes0 downloads0 reach0 impact
mlr.classif.knn (1)
Learner mlr.classif.knn from package(s) class.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.knn.preproc (1)
Learner mlr.classif.knn.preproc from package(s) class.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.ranger (1)
Learner mlr.classif.ranger from package(s) ranger.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.bagged (1)
Learner mlr.classif.rpart.bagged from package(s) rpart.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.J48.bagged (1)
Learner mlr.classif.J48.bagged from package(s) RWeka.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.J48 (1)
Learner mlr.classif.J48 from package(s) RWeka.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.ctree.bagged (1)
Learner mlr.classif.ctree.bagged from package(s) party.
20 runs0 likes0 downloads0 reach0 impact
mlr.classif.ctree (1)
Learner mlr.classif.ctree from package(s) party.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart.preproc (5)
Learner mlr.classif.rpart.preproc from package(s) rpart.
49 runs0 likes0 downloads0 reach0 impact
mlr.classif.rpart (5)
Learner mlr.classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
mlr.classif.J48 (2)
Learner mlr.classif.J48 from package(s) RWeka.
17 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_ZeroR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_OneR (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_DecisionStump (16)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_REPTree (22)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.DecisionTable (1)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
1144 runs0 likes0 downloads0 reach6 impact
weka.AttributeSelectedClassifier_BayesNet (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.BayesNet (1)
Weka implementation of BayesNet
290 runs0 likes0 downloads0 reach2 impact
weka.AttributeSelectedClassifier_SMO_RBFKernel (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.SMO_RBFKernel (6)
J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning,…
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_A1DE (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_IBk (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 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.AttributeSelectedClassifier_AdaBoostM1_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_J48 (4)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_LMT (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_LMT (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
145 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_NaiveBayes (3)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
265 runs0 likes0 downloads0 reach7 impact
weka.AttributeSelectedClassifier_AdaBoostM1_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_OneR (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 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (11)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_DecisionStump (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_IBk (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_IBk (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_J48 (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_J48 (7)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_JRip (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_JRip (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_LMT (1)
Weka implementation of AttributeSelectedClassifier
42 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LMT (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach3 impact
weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump (1)
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LWL_DecisionStump (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
131 runs0 likes0 downloads0 reach2 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_Bagging_NaiveBayes (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayes (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_OneR (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_OneR (13)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
138 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_Bagging_RandomTree (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomTree (10)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_NaiveBayesUpdateable (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
weka.AttributeSelectedClassifier_KStar (1)
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact