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Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for…
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Learner regr.rpart from package(s) rpart.
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Learner regr.lm from package(s) stats.
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The performanceEstimation standardWF using svm as the learner
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Learner classif.J48 from package(s) RWeka.
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Learner regr.randomForest from package(s) randomForest.
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Moa implementation of WEKAClassifier
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Moa implementation of WEKAClassifier
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Moa implementation of WEKAClassifier
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G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
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Usama M. Fayyad, Keki B. Irani: Multi-interval discretization of continuousvalued attributes for classification learning. In: Thirteenth International Joint Conference on Articial Intelligence,…
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Weka implementation of PrincipalComponents
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Weka implementation of REPTree
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Weka implementation of REPTree
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Weka implementation of REPTree
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Weka implementation of REPTree
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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…
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Weka implementation of BayesNet
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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…
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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…
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Learner classif.J48 from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.sda from package(s) sda.
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Learner classif.sda from package(s) sda.
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Weka implementation of FilteredClassifier
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Weka implementation of MathExpression
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Weka implementation of AttributeSelectedClassifier
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Learner classif.J48 from package(s) RWeka.
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Weka implementation of FilteredClassifier
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Weka implementation of StratifiedRemoveFolds
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Learner classif.J48 from package(s) RWeka.
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Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.J48 from package(s) RWeka.
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Learner classif.rpart from package(s) rpart.
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Learner classif.rpart from package(s) rpart.
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A RapidMiner Operator
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A RapidMiner Operator
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Weka implementation of CostSensitiveClassifier
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Weka implementation of LinearRegression
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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…
147 runs0 likes0 downloads0 reach147 impact
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
5 runs0 likes0 downloads0 reach5 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach1 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
33 runs0 likes0 downloads0 reach33 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…
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Weka implementation of CostSensitiveClassifier
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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…
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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…
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Weka implementation of CostSensitiveClassifier
14 runs0 likes0 downloads0 reach14 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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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 BestFirst
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Weka implementation of AttributeSelectedClassifier
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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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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…
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Weka implementation of CostSensitiveClassifier
21 runs0 likes0 downloads0 reach21 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of CostSensitiveClassifier
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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…
135 runs0 likes0 downloads0 reach135 impact
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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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
136 runs0 likes0 downloads0 reach136 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
182 runs0 likes0 downloads0 reach185 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
396 runs0 likes0 downloads0 reach396 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 CostSensitiveClassifier
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David J.C. Mackay (1998). Introduction to Gaussian Processes. Dept. of Physics, Cambridge University, UK.
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Weka implementation of PolyKernel
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Weka implementation of CostSensitiveClassifier
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Weka implementation of RandomCommittee
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Weka implementation of AttributeSelectedClassifier
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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 CostSensitiveClassifier
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Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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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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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
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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 implementation of RandomCommittee
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Weka implementation of CostSensitiveClassifier
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Weka implementation of PrincipalComponents
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Weka implementation of Ranker
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Weka implementation of CostSensitiveClassifier
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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 implementation of CostSensitiveClassifier
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