Flow
Moa implementation of LeveragingBag
252 runs0 likes0 downloads0 reach2 impact
Moa implementation of OzaBag
248 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
26 runs0 likes0 downloads0 reach4 impact
Learner mlr.classif.randomForest from package(s) randomForest.
21 runs0 likes0 downloads0 reach5 impact
Moa implementation of BlastDecayed
2224 runs0 likes0 downloads0 reach0 impact
Moa implementation of BlastWindowed
854 runs0 likes0 downloads0 reach0 impact
Moa implementation of DynamicWeightedMajority
64 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.ksvm from package(s) kernlab.
299 runs0 likes0 downloads0 reach0 impact
Moa implementation of MajorityVoteEnsemble
127 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
Moa implementation of AccuracyWeightedEnsemble
60 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
708 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
532 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
7 runs0 likes0 downloads0 reach7 impact
Learner mlr.classif.rpart.imputed.filtered from package(s) rpart.
0 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.tuned from package(s) rpart.
3 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.randomForest from package(s) randomForest.
3 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.ksvm from package(s) kernlab.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.logreg from package(s) stats.
1 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
1 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
103 runs0 likes0 downloads0 reach103 impact
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
Automatically created sub-component.
0 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
3 runs0 likes0 downloads0 reach2 impact
Learner mlr.classif.ranger.preproc from package(s) ranger.
3 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.nnet.preproc from package(s) nnet.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.boosting.preproc from package(s) adabag, rpart.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.preproc from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.bagged.preproc from package(s) rpart.
2 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.rpart.bagged.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.rpart.preproc from package(s) rpart.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
2 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.gbm.bagged.preproc from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.ksvm.preproc from package(s) kernlab.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.C50.preproc from package(s) C50.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.C50.bagged.preproc from package(s) C50.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.logreg.preproc from package(s) stats.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
4 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.gbm.preproc from package(s) gbm.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.xgboost.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.xgboost.bagged.preproc from package(s) xgboost.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.randomForestSRC from package(s) randomForestSRC.
1 runs0 likes0 downloads0 reach0 impact
Learner mlr.weightedclasses.classif.randomForestSRC from package(s) randomForestSRC.
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
12 runs0 likes0 downloads0 reach12 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
9 runs0 likes0 downloads0 reach8 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 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
Weka implementation of DecisionStump
1 runs0 likes0 downloads0 reach1 impact
Weka implementation of CostSensitiveClassifier
20 runs0 likes0 downloads0 reach18 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
12 runs0 likes0 downloads0 reach10 impact
R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of IterativeClassifierOptimizer
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of IterativeClassifierOptimizer
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of IterativeClassifierOptimizer
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
9 runs0 likes0 downloads0 reach6 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach0 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…
4 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 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…
4 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
9 runs0 likes0 downloads0 reach8 impact
Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
4 runs0 likes0 downloads0 reach4 impact
Weka implementation of FilteredClassifier
6 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
28 runs0 likes0 downloads0 reach28 impact
Weka implementation of CostSensitiveClassifier
8 runs0 likes0 downloads0 reach7 impact
Weka implementation of CostSensitiveClassifier
2 runs0 likes0 downloads0 reach1 impact
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.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes0 downloads0 reach1 impact
Weka implementation of RandomTree
1 runs0 likes0 downloads0 reach1 impact
Weka implementation of FilteredClassifier
50 runs0 likes0 downloads0 reach49 impact
Weka implementation of CostSensitiveClassifier
140 runs0 likes0 downloads0 reach141 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
3 runs0 likes0 downloads0 reach3 impact
J.H. Friedman (1999). Stochastic Gradient Boosting.
0 runs0 likes0 downloads0 reach0 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…
6 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
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
3 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
4 runs0 likes0 downloads0 reach2 impact
Weka implementation of FilteredClassifier
1 runs0 likes0 downloads0 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultilayerPerceptron
1 runs0 likes0 downloads0 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
1 runs0 likes0 downloads0 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes0 downloads0 reach0 impact