OpenML
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 FilteredClassifier
120 runs0 likes0 downloads0 reach90 impact
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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Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
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Weka implementation of FilteredClassifier
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Weka implementation of MultiSearch
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Weka implementation of FilteredClassifier
140 runs0 likes0 downloads0 reach17 impact
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 FilteredClassifier
133 runs0 likes0 downloads0 reach120 impact
Weka implementation of MultiSearch
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Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultiSearch
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J.H. Friedman (1999). Stochastic Gradient Boosting.
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Weka implementation of FilteredClassifier
87 runs0 likes0 downloads0 reach9 impact
Weka implementation of FilteredClassifier
135 runs0 likes0 downloads0 reach85 impact
Weka implementation of FilteredClassifier
120 runs0 likes0 downloads0 reach60 impact
Weka implementation of MultiSearch
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Weka implementation of FilteredClassifier
126 runs0 likes0 downloads0 reach61 impact
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.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
94 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultiSearch
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Learner mlr.regr.rvm from package(s) kernlab.
2684 runs0 likes0 downloads0 reach2684 impact
Learner mlr.regr.rsm from package(s) rsm.
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Learner mlr.regr.rpart from package(s) rpart.
2970 runs0 likes0 downloads0 reach2970 impact
Learner mlr.regr.randomForest from package(s) randomForest.
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Learner mlr.regr.penalized.ridge from package(s) !penalized.
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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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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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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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