OpenML
Learner mlr.classif.nnet.preproc from package(s) nnet.
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Learner mlr.classif.boosting.preproc from package(s) adabag, rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
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Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
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Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
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Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
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Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
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Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
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Learner mlr.weightedclasses.classif.gbm.bagged.preproc from package(s) gbm.
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Learner mlr.weightedclasses.classif.ksvm.preproc from package(s) kernlab.
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Learner mlr.weightedclasses.classif.C50.preproc from package(s) C50.
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Learner mlr.weightedclasses.classif.C50.bagged.preproc from package(s) C50.
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Learner mlr.weightedclasses.classif.logreg.preproc from package(s) stats.
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Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
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Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
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Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
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Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
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Learner mlr.weightedclasses.classif.xgboost.bagged.preproc from package(s) xgboost.
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Learner mlr.classif.randomForestSRC from package(s) randomForestSRC.
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Learner mlr.weightedclasses.classif.randomForestSRC from package(s) randomForestSRC.
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Weka implementation of FilteredClassifier
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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 CostSensitiveClassifier
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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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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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
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Weka implementation of IterativeClassifierOptimizer
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Weka implementation of IterativeClassifierOptimizer
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Weka implementation of IterativeClassifierOptimizer
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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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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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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of FilteredClassifier
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Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud.. 55(3):281-292.
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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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Weka implementation of FilteredClassifier
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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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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J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Weka implementation of FilteredClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of FilteredClassifier
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Weka implementation of FilteredClassifier
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Weka implementation of MultilayerPerceptron
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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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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David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
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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…
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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
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
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Weka implementation of CostSensitiveClassifier
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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 CostSensitiveClassifier
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Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees. Machine Learning. 95(1-2):161-205. Marc Sumner, Eibe Frank, Mark Hall: Speeding up Logistic Model Tree Induction. In: 9th European…
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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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Weka implementation of CostSensitiveClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
4 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
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Weka implementation of CostSensitiveClassifier
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Weka implementation of IterativeClassifierOptimizer
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Weka implementation of MultiClassClassifier
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Weka implementation of FilteredClassifier
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Weka implementation of MultiClassClassifier
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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…
1 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
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E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
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Weka implementation of FilteredClassifier
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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…
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of AutoWEKAClassifier
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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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John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
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Learner mlr.weightedclasses.classif.avNNet.preproc from package(s) nnet.
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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…
5 runs0 likes0 downloads0 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.
5 runs0 likes0 downloads0 reach0 impact
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…
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Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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Weka implementation of FilteredClassifier
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Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
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