Flow
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.…
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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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
10 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
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.…
5 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package RWeka.
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HubMiner implementation of ANHBNN
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HubMiner implementation of HwKNN
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HubMiner implementation of NHBNN
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HubMiner implementation of HFNN
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HubMiner implementation of DWHFNN
113 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of CBWkNN
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HubMiner implementation of NWKNN
112 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of AKNN
112 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of HIKNN
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HubMiner implementation of HwKNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of KNN
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HubMiner implementation of NHBNN
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HubMiner implementation of HFNN
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HubMiner implementation of DWHFNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of CBWkNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of NWKNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of AKNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of ANHBNN
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Moa implementation of LeveragingBag
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Weka implementation of FilteredClassifier
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Weka implementation of MultiClassClassifierUpdateable
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Weka implementation of MultiClassClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of MultiClassClassifier
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Weka implementation of CostSensitiveClassifier
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For testing
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Weka implementation of FilteredClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
4 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
1 runs0 likes1 downloads1 reach0 impact
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 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of MultiClassClassifier
1 runs0 likes1 downloads1 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
3 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
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…
1 runs0 likes1 downloads1 reach0 impact
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…
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of ZeroR
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Learner classif.lda from package(s) MASS.
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Weka implementation of BayesNet
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Moa implementation of DecisionStump
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Moa implementation of WEKAClassifier
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
167 runs0 likes1 downloads1 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of LeveragingBag
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Moa implementation of LeveragingBag
166 runs0 likes1 downloads1 reach0 impact
Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of LeveragingBag
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of LeveragingBag
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
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Moa implementation of AccuracyWeightedEnsemble
31 runs0 likes1 downloads1 reach0 impact
G.F. Cooper, E. Herskovits (1990). A Bayesian method for constructing Bayesian belief networks from databases. G. Cooper, E. Herskovits (1992). A Bayesian method for the induction of probabilistic…
0 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.xgboost from package(s) xgboost.
13577 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
15 runs0 likes1 downloads1 reach0 impact
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 likes1 downloads1 reach0 impact
Just a 48Bagging workflow done with the KF.
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A flow using decisionStump for the POC.
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A flow using smo for the POC.
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Learner mlr.classif.xgboost from package(s) xgboost.
1 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.svm from package(s) e1071.
1 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
39 runs0 likes1 downloads1 reach38 impact