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Guido Santegoeds
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Guido's flows

weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_CostSensitiveClassifier (1)
Weka implementation of AttributeSelectedClassifier
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weka.GainRatioAttributeEval (1)
Weka implementation of GainRatioAttributeEval
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weka.CostSensitiveClassifier_Bagging_JRip (1)
Weka implementation of CostSensitiveClassifier
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weka.Bagging_JRip (3)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
266 runs0 likes2 downloads2 reach266 impact
weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_CostSensitiveClassifier (1)
Weka implementation of AttributeSelectedClassifier
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weka.InfoGainAttributeEval (2)
Weka implementation of InfoGainAttributeEval
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weka.CostSensitiveClassifier (1)
Weka implementation of CostSensitiveClassifier
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weka.AttributeSelectedClassifier_ReliefFAttributeEval_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.ReliefFAttributeEval (1)
Kenji Kira, Larry A. Rendell: A Practical Approach to Feature Selection. In: Ninth International Workshop on Machine Learning, 249-256, 1992. Igor Kononenko: Estimating Attributes: Analysis and…
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weka.CostSensitiveClassifier_AdaBoostM1_REPTree (7)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_REPTree (9)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.AttributeSelectedClassifier_CfsSubsetEval_GreedyStepwise_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
4 runs0 likes1 downloads1 reach0 impact
weka.GreedyStepwise (2)
Weka implementation of GreedyStepwise
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weka.CostSensitiveClassifier_AdaBoostM1_REPTree (6)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_REPTree (8)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
3 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (5)
Weka implementation of CostSensitiveClassifier
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weka.AdaBoostM1_REPTree (7)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.AdaBoostM1_REPTree (6)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
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weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
weka.PrincipalComponents (14)
Weka implementation of PrincipalComponents
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weka.Ranker (3)
Weka implementation of Ranker
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weka.CostSensitiveClassifier_AdaBoostM1_REPTree (4)
Weka implementation of CostSensitiveClassifier
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weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
weka.CostSensitiveClassifier_AdaBoostM1_REPTree (3)
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
weka.AdaBoostM1_REPTree (5)
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