Weka implementation of AttributeSelectedClassifier
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Weka implementation of AttributeSelectedClassifier
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Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
41 runs0 likes0 downloads0 reach0 impact
Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
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Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
40 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
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Weka implementation of AttributeSelectedClassifier
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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Learner mlr.classif.kknn from package(s) !kknn.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Weka implementation of MultiSearch
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Weka implementation of MultiSearch
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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
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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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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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Learner mlr.classif.kknn from package(s) !kknn.
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Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes from package(s) e1071.
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Weka implementation of FilteredClassifier
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Weka implementation of MultiSearch
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Weka implementation of MultiSearch
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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 MultiSearch
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Weka implementation of FilteredClassifier
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Weka implementation of MultiSearch
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of MultiSearch
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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 MultiSearch
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Weka implementation of MultiSearch
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Learner mlr.regr.cforest from package(s) party.
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Learner mlr.regr.ctree from package(s) party.
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Learner mlr.regr.earth from package(s) earth.
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Learner mlr.regr.fnn from package(s) FNN.
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Learner mlr.regr.gbm from package(s) gbm.
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Learner mlr.regr.glmnet from package(s) glmnet.
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Learner mlr.regr.km from package(s) DiceKriging.
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Learner mlr.regr.ksvm from package(s) kernlab.
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Learner mlr.regr.lm from package(s) stats.
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Learner mlr.regr.nnet from package(s) nnet.
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Learner mlr.regr.pcr from package(s) pls.
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Learner mlr.regr.penalized.lasso from package(s) !penalized.
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Learner mlr.regr.penalized.ridge from package(s) !penalized.
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Learner mlr.regr.plsr from package(s) pls.
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Learner mlr.regr.randomForest from package(s) randomForest.
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Learner mlr.regr.rpart from package(s) rpart.
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Learner mlr.regr.rsm from package(s) rsm.
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Learner mlr.regr.rvm from package(s) kernlab.
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Weka implementation of FilteredClassifier
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Weka implementation of MultiSearch
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Flow generated by run_task
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Learner mlr.classif.naiveBayes from package(s) e1071.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
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Learner mlr.classif.randomForest.preproc from package(s) randomForest.
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Learner mlr.classif.randomForest from package(s) randomForest.
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Learner mlr.classif.rpart.preproc.preproc from package(s) rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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Learner mlr.classif.kknn from package(s) !kknn.
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Learner mlr.classif.mlp.preproc.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp.preproc from package(s) RSNNS.
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Learner mlr.classif.mlp from package(s) RSNNS.
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flow for uploading results of the gridsearch for instrument *azure_two_class_boosted_decision_tree* on dataset *telescope*
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flow for uploading results of the gridsearch for instrument *azure_two_class_logistic_regression* on dataset *telescope*
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flow for uploading results of the gridsearch for instrument *azure_two_class_boosted_decision_tree* on dataset *telescope*
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Learner mlr.classif.PART.preproc.preproc from package(s) RWeka.
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Learner mlr.classif.PART.preproc from package(s) RWeka.
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Learner mlr.classif.PART from package(s) RWeka.
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Learner mlr.classif.svm.preproc from package(s) e1071.
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Learner mlr.classif.svm from package(s) e1071.
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flow for uploading results of the gridsearch for instrument *azure_two_class_logistic_regression*
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flow for uploading results of the gridsearch for instrument *azure_two_class_boosted_decision_tree*
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flow for uploading results of the gridsearch for instrument *azure_two_class_decision_forest*
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Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes.preproc from package(s) e1071.
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Learner mlr.classif.naiveBayes from package(s) e1071.
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Learner mlr.classif.rpart.preproc.preproc from package(s) rpart.
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Learner mlr.classif.rpart.preproc from package(s) rpart.
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Learner mlr.classif.rpart from package(s) rpart.
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Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
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Learner mlr.classif.kknn.preproc from package(s) !kknn.
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