OpenML
ID's
Sort: fewest downloads
21333 results
weka.IBk (10)
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
16 runs0 likes0 downloads0 reach5 impact
weka.Vote_ZeroR (4)
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…
5 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesUpdateable (11)
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
5 runs0 likes0 downloads0 reach0 impact
weka.SimpleLogistic (5)
Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European Conference on Principles and…
6 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomial (5)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_DecisionTable (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_DecisionTable (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_M5P (4)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
1 runs0 likes0 downloads0 reach0 impact
weka.M5P (5)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_REPTree (4)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_REPTree (25)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach1 impact
weka.REPTree (17)
Weka implementation of REPTree
4 runs0 likes0 downloads0 reach4 impact
mlr.weightedclasses.classif.avNNet.preproc (2)
Learner mlr.weightedclasses.classif.avNNet.preproc from package(s) nnet.
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.nnet.preproc (1)
Learner mlr.weightedclasses.classif.nnet.preproc from package(s) nnet.
1 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_ZeroR (5)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_DecisionTable (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.DecisionTable (2)
Ron Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.
0 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_OneR (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_PART (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.PART (5)
Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_REPTree (7)
Weka implementation of CostSensitiveClassifier
11 runs0 likes0 downloads0 reach0 impact
weka.CVParameterSelection_JRip (1)
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.JRip (6)
William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomCommittee_Bagging_RandomTree (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.nnet.bagged.preproc (1)
Learner mlr.weightedclasses.classif.nnet.bagged.preproc from package(s) nnet.
1 runs0 likes0 downloads0 reach0 impact
weka.NaiveBayesMultinomialUpdateable (8)
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_J48 (3)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_HoeffdingTree (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.HoeffdingTree (5)
Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
7 runs0 likes0 downloads0 reach3 impact
weka.LogitBoost_LMT (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
weka.Bagging_SimpleLogistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
weka.LogitBoost_M5P (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LinearRegression (2)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.LinearRegression (8)
Weka implementation of LinearRegression
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_GaussianProcesses_PolyKernel (2)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.GaussianProcesses_PolyKernel (10)
David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
0 runs0 likes0 downloads0 reach0 impact
weka.PolyKernel (10)
Weka implementation of PolyKernel
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_NaiveBayes (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_SerializedClassifier (1)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.SerializedClassifier (1)
Weka implementation of SerializedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_InputMappedClassifier_ZeroR (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.InputMappedClassifier_ZeroR (2)
Weka implementation of InputMappedClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_Logistic (4)
Weka implementation of MultiClassClassifier
6 runs0 likes0 downloads0 reach6 impact
weka.Logistic (7)
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayesUpdateable (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayesMultinomial (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Bagging_NaiveBayesMultinomialUpdateable (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifierUpdateable_SGD (4)
Weka implementation of MultiClassClassifierUpdateable
1 runs0 likes0 downloads0 reach0 impact
weka.SGD (5)
Weka implementation of SGD
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_RandomSubSpace_SimpleLogistic (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 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.MultiClassClassifier_REPTree (1)
Weka implementation of MultiClassClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_SimpleLinearRegression (1)
Weka implementation of MultiClassClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.SimpleLinearRegression (5)
Weka implementation of SimpleLinearRegression
0 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_RandomForest (2)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
1 runs0 likes0 downloads0 reach0 impact
weka.MultiClassClassifier_CostSensitiveClassifier_RandomForest (1)
Weka implementation of MultiClassClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LWL_RandomForest (3)
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…
0 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_NaiveBayes (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
0 runs0 likes0 downloads0 reach0 impact
weka.IterativeClassifierOptimizer_AdditiveRegression_DecisionStump (3)
Weka implementation of IterativeClassifierOptimizer
0 runs0 likes0 downloads0 reach0 impact
weka.AdditiveRegression_DecisionStump (5)
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (1)
Weka implementation of FilteredClassifier
16 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_RandomTree (3)
Weka implementation of CostSensitiveClassifier
53 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomTree (12)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.RandomTree (13)
Weka implementation of RandomTree
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_RandomTree (1)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_RandomTree (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.FilteredClassifier_CostSensitiveClassifier_Bagging_RandomTree (2)
Weka implementation of FilteredClassifier
19 runs0 likes0 downloads0 reach0 impact
weka.Bagging_HoeffdingTree (4)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_IBk (1)
Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_RandomTree (3)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_Bagging_DecisionStump (1)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_Bagging_DecisionStump (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.rpart.preproc.overbagged (1)
Learner mlr.weightedclasses.classif.rpart.preproc.overbagged from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
weka.ClassificationViaRegression_HoeffdingTree (1)
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
0 runs0 likes0 downloads0 reach0 impact
weka.RandomCommittee_RandomTree (6)
Weka implementation of RandomCommittee
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.gbm.preproc.overbagged (1)
Learner mlr.weightedclasses.classif.gbm.preproc.overbagged from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_Bagging_J48 (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_NaiveBayes (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…
3 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_IBk (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_IBk (5)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_SimpleLogistic (1)
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
mlr.weightedclasses.classif.xgboost.preproc.overbagged (1)
Learner mlr.weightedclasses.classif.xgboost.preproc.overbagged from package(s) xgboost.
4 runs0 likes0 downloads0 reach0 impact
weka.RandomSubSpace_NaiveBayesUpdateable (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…
3 runs0 likes0 downloads0 reach0 impact
weka.Stacking_ZeroR (2)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.Stacking_NaiveBayes (3)
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
weka.Bagging_RandomSubSpace_SimpleLogistic (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.Vote_NaiveBayes (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…
2 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_Bagging_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
weka.LogitBoost_Bagging_DecisionStump (2)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
weka.WeightedInstancesHandlerWrapper_NaiveBayes (1)
Weka implementation of WeightedInstancesHandlerWrapper
1 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_NaiveBayes (4)
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.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
6 runs0 likes0 downloads0 reach5 impact
mlr.weightedclasses.classif.xgboost.preproc.smoted (1)
Learner mlr.weightedclasses.classif.xgboost.preproc.smoted from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_DecisionStump (2)
Weka implementation of CostSensitiveClassifier
3 runs0 likes0 downloads0 reach1 impact
weka.MultiSearch_RandomForest (2)
Weka implementation of MultiSearch
3 runs0 likes0 downloads0 reach0 impact
weka.FilteredClassifier_NaiveBayes (2)
Weka implementation of FilteredClassifier
12 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_Bagging_LogitBoost_DecisionStump (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
weka.Bagging_LogitBoost_NaiveBayes (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact