Flow
Learner classif.rpart from package(s) rpart.
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Learner classif.lda from package(s) MASS.
83 runs0 likes2 downloads2 reach4 impact
HubMiner implementation of HIKNN
119 runs0 likes2 downloads2 reach2 impact
HubMiner implementation of ANHBNN
112 runs0 likes1 downloads1 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
1069 runs0 likes10 downloads10 reach296 impact
Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
7 runs0 likes2 downloads2 reach6 impact
le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
694 runs0 likes2 downloads2 reach158 impact
HubMiner implementation of HwKNN
115 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of KNN
114 runs0 likes2 downloads2 reach0 impact
HubMiner implementation of NHBNN
114 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of HFNN
113 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of DWHFNN
113 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of CBWkNN
112 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of NWKNN
112 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of AKNN
112 runs0 likes1 downloads1 reach0 impact
Weka implementation of LinearRegression
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Weka implementation of SimpleLinearRegression
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HubMiner implementation of HIKNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of HwKNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of KNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of NHBNN
24 runs0 likes1 downloads1 reach0 impact
HubMiner implementation of HFNN
24 runs0 likes1 downloads1 reach0 impact
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
24 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.
22 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
40 runs0 likes1 downloads1 reach0 impact
Moa implementation of ORTO
101 runs0 likes2 downloads2 reach1 impact
Moa implementation of LeveragingBag
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Moa implementation of HoeffdingOptionTree
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Weka implementation of FilteredClassifier
99 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelection
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Weka implementation of Ranker
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Weka implementation of PrincipalComponents
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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…
3 runs0 likes2 downloads2 reach2 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
Weka implementation of MultiClassClassifierUpdateable
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of MultiClassClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
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Weka implementation of InfoGainAttributeEval
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Weka implementation of MultiClassClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
J.H. Friedman (1999). Stochastic Gradient Boosting.
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For testing
0 runs0 likes1 downloads1 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
3 runs0 likes3 downloads3 reach3 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.
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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
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,…
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Weka implementation of PolyKernel
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.
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Weka implementation of PrincipalComponents
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Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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Weka implementation of PrincipalComponents
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Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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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.…
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Weka implementation of PrincipalComponents
0 runs0 likes0 downloads0 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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Weka implementation of PrincipalComponents
0 runs0 likes0 downloads0 reach0 impact
Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
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R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
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R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
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R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
0 runs0 likes0 downloads0 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…
0 runs0 likes0 downloads0 reach0 impact
Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324.
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Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelection
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M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.
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Weka implementation of IterativeClassifierOptimizer
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of PrincipalComponents
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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Weka implementation of PrincipalComponents
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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Weka implementation of PrincipalComponents
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H. Zhang, L. Jiang, J. Su: Hidden Naive Bayes. In: Twentieth National Conference on Artificial Intelligence, 919-924, 2005.
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Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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Weka implementation of RandomTree
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Weka implementation of RandomTree
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Weka implementation of RandomTree
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Weka implementation of RandomTree
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Weka implementation of RandomTree
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
6 runs0 likes3 downloads3 reach2 impact
An implementation of the evaluation measure "usercpu_time_millis_training"
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An implementation of the evaluation measure "usercpu_time_millis_testing"
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
10 runs0 likes3 downloads3 reach10 impact
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…
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Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of GreedyStepwise
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
12 runs0 likes4 downloads4 reach8 impact