Flow
Moa implementation of StackingAttempt
27 runs0 likes2 downloads2 reach23 impact
Moa implementation of StackingAttempt
28 runs0 likes2 downloads2 reach23 impact
Moa implementation of kNN
126 runs0 likes2 downloads2 reach80 impact
Moa implementation of StackingAttempt
54 runs0 likes2 downloads2 reach46 impact
Moa implementation of SGD
126 runs0 likes2 downloads2 reach124 impact
Moa implementation of StackingAttempt
53 runs0 likes2 downloads2 reach44 impact
Moa implementation of SPegasos
126 runs0 likes2 downloads2 reach124 impact
Moa implementation of StackingAttempt
27 runs0 likes2 downloads2 reach25 impact
Moa implementation of MajorityClass
63 runs0 likes2 downloads2 reach58 impact
Moa implementation of StackingAttempt
27 runs0 likes2 downloads2 reach22 impact
Moa implementation of Perceptron
0 runs0 likes0 downloads0 reach0 impact
Learner classif.randomForest from package(s) randomForest.
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of RuleClassifierNBayes
70 runs0 likes2 downloads2 reach51 impact
Moa implementation of AdaHoeffdingOptionTree
61 runs0 likes2 downloads2 reach60 impact
Moa implementation of TargetMean
64 runs0 likes2 downloads2 reach62 impact
Moa implementation of AMRulesRegressor
45 runs0 likes2 downloads2 reach40 impact
Moa implementation of kNNwithPAW
65 runs0 likes2 downloads2 reach45 impact
Moa implementation of NaiveBayesMultinomial
55 runs0 likes2 downloads2 reach47 impact
Moa implementation of NaiveBayesMultinomial
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of StackingAttemptV2
51 runs0 likes2 downloads2 reach11 impact
Moa implementation of StackingAttemptV2
52 runs0 likes2 downloads2 reach33 impact
Moa implementation of StackingAttemptV2
55 runs0 likes2 downloads2 reach46 impact
Moa implementation of Perceptron
0 runs0 likes0 downloads0 reach0 impact
Moa implementation of StackingAttemptV2
53 runs0 likes2 downloads2 reach45 impact
Moa implementation of StackingAttemptV2
27 runs0 likes2 downloads2 reach24 impact
Moa implementation of MajorityVoteEnsemble
64 runs0 likes2 downloads2 reach32 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
132 runs0 likes1 downloads1 reach131 impact
Learner classif.rpart from package(s) rpart.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.PART.bagged from package(s) RWeka.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes.bagged from package(s) e1071.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.naiveBayes from package(s) e1071.
0 runs0 likes0 downloads0 reach0 impact
Learner classif.J48.bagged from package(s) RWeka.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
0 runs0 likes0 downloads0 reach0 impact
Learner classif.naiveBayes.bagged from package(s) e1071.
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of StackingAttemptV2
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of StackingAttemptV2
1 runs0 likes1 downloads1 reach0 impact
Moa implementation of HoeffdingOptionTree
61 runs0 likes2 downloads2 reach34 impact
Moa implementation of NoChange
63 runs0 likes2 downloads2 reach47 impact
Moa implementation of RandomHoeffdingTree
63 runs0 likes2 downloads2 reach40 impact
Moa implementation of ASHoeffdingTree
65 runs0 likes2 downloads2 reach33 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
Learner classif.knn from package(s) class.
17 runs0 likes1 downloads1 reach0 impact
Moa implementation of BlastDecayed
1 runs0 likes1 downloads1 reach0 impact
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.
256 runs0 likes1 downloads1 reach249 impact
Learner classif.randomForest from package(s) randomForest.
191 runs0 likes4 downloads4 reach181 impact
Learner classif.rpart from package(s) rpart.
30 runs0 likes2 downloads2 reach14 impact
Flow generated by openml_run
33 runs0 likes7 downloads7 reach24 impact
Learner classif.randomForest from package(s) randomForest.
8 runs0 likes1 downloads1 reach0 impact
Flow generated by openml_run
21 runs0 likes6 downloads6 reach17 impact
Flow generated by openml_run
18 runs0 likes2 downloads2 reach0 impact
Learner classif.randomForest from package(s) randomForest.
0 runs0 likes0 downloads0 reach0 impact
Learner classif.randomForest from package(s) randomForest.
0 runs0 likes0 downloads0 reach0 impact
Learner classif.rpart from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
466 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach55 impact
Weka implementation of SimpleLinearRegression
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
1 runs0 likes1 downloads1 reach0 impact
one-versus-all C-SVM with Gaussian RBF kernel
5 runs0 likes1 downloads1 reach0 impact
Learner classif.gbm from package(s) gbm.
67 runs0 likes1 downloads1 reach0 impact
Learner classif.boosting from package(s) adabag, rpart.
12 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
46 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
64 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
15 runs0 likes1 downloads1 reach0 impact
Learner classif.svm from package(s) e1071.
70 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
78 runs0 likes1 downloads1 reach0 impact
Learner classif.IBk from package(s) RWeka.
15 runs0 likes1 downloads1 reach0 impact
Learner classif.IBk from package(s) RWeka.
52 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
61 runs0 likes1 downloads1 reach0 impact
Learner classif.gbm from package(s) gbm.
148 runs0 likes1 downloads1 reach0 impact
Learner classif.IBk from package(s) RWeka.
160 runs0 likes1 downloads1 reach0 impact
Learner classif.ada from package(s) ada.
107 runs0 likes1 downloads1 reach0 impact
Learner classif.svm from package(s) e1071.
148 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
160 runs0 likes1 downloads1 reach0 impact
Learner classif.avNNet from package(s) nnet.
166 runs0 likes1 downloads1 reach0 impact
Learner classif.boosting from package(s) adabag, rpart.
65 runs0 likes1 downloads1 reach0 impact
Moa implementation of RuleClassifier
37 runs0 likes2 downloads2 reach7 impact
Weka implementation of MultiClassClassifier
1 runs0 likes2 downloads2 reach0 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
3 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
3 runs0 likes2 downloads2 reach2 impact
Flow generated by run_task
3 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
21 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
454 runs0 likes2 downloads2 reach54 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,…
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes2 downloads2 reach56 impact
Weka implementation of AttributeSelectedClassifier
455 runs0 likes2 downloads2 reach55 impact
Weka implementation of AttributeSelectedClassifier
460 runs0 likes2 downloads2 reach60 impact
Weka implementation of AttributeSelectedClassifier
456 runs0 likes3 downloads3 reach56 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
0 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
10 runs0 likes3 downloads3 reach4 impact
Learner ModelMultiplexer from package(s) kernlab, randomForest.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.fnn from package(s) FNN.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForestSRC from package(s) randomForestSRC.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.kknn from package(s) !kknn.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.fnn from package(s) FNN.
1 runs0 likes1 downloads1 reach0 impact
Flow generated by run_task
2 runs0 likes2 downloads2 reach1 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes1 downloads1 reach0 impact