OpenML
Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
245 runs0 likes2 downloads2 reach25 impact
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass alternating decision trees. In: ECML, 161-172, 2001.
308 runs0 likes2 downloads2 reach17 impact
Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of…
236 runs0 likes2 downloads2 reach13 impact
Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
135 runs0 likes1 downloads1 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1196 runs0 likes2 downloads2 reach671 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
298 runs0 likes2 downloads2 reach31 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
268 runs0 likes2 downloads2 reach55 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
175 runs0 likes2 downloads2 reach37 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
185 runs0 likes2 downloads2 reach9 impact
Weka implementation of CostSensitiveClassifier
3 runs0 likes2 downloads2 reach2 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…
9 runs0 likes0 downloads0 reach9 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
11 runs0 likes2 downloads2 reach10 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
363 runs0 likes2 downloads2 reach363 impact
Weka implementation of MultiScheme
126 runs0 likes1 downloads1 reach125 impact
Weka implementation of CostSensitiveClassifier
36 runs0 likes1 downloads1 reach35 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of MultiScheme
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
141 runs0 likes1 downloads1 reach140 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…
1 runs0 likes1 downloads1 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
0 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of CostSensitiveClassifier
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
0 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
36 runs0 likes1 downloads1 reach35 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…
1 runs0 likes1 downloads1 reach0 impact
Learner classif.plsdaCaret from package(s) caret.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForestSRC from package(s) randomForestSRC.
10 runs0 likes1 downloads1 reach0 impact
Learner classif.binomial from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.boosting from package(s) adabag, rpart.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.cforest from package(s) party.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.ctree from package(s) party.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.dbnDNN from package(s) deepnet.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.extraTrees from package(s) extraTrees.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.gbm from package(s) gbm.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.glmnet from package(s) !glmnet.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.hdrda from package(s) sparsediscrim.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.IBk from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.J48 from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.kknn from package(s) !kknn.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.ksvm from package(s) kernlab.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.lda from package(s) MASS.
4 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL1LogReg from package(s) LiblineaR.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.mda from package(s) !mda.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.nnet from package(s) nnet.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.nnTrain from package(s) deepnet.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.nodeHarvest from package(s) nodeHarvest.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.OneR from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.pamr from package(s) pamr.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.PART from package(s) RWeka.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.plr from package(s) stepPlr.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.plsdaCaret from package(s) caret.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.qda from package(s) MASS.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForestSRC from package(s) randomForestSRC.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.ranger from package(s) ranger.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.rda from package(s) klaR.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.rotationForest from package(s) rotationForest.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.rpart from package(s) rpart.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.saeDNN from package(s) deepnet.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.sda from package(s) sda.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.sparseLDA from package(s) !sparseLDA, MASS, !elasticnet.
1 runs0 likes1 downloads1 reach0 impact
Learner classif.svm from package(s) e1071.
3 runs0 likes1 downloads1 reach0 impact
Learner classif.xgboost from package(s) xgboost.
2 runs0 likes1 downloads1 reach0 impact
Learner classif.xyf from package(s) kohonen.
2 runs0 likes1 downloads1 reach0 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,…
137 runs0 likes2 downloads2 reach118 impact
Weka implementation of NormalizedPolyKernel
0 runs0 likes0 downloads0 reach0 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,…
46 runs0 likes1 downloads1 reach0 impact
B. Uestuen, W.J. Melssen, L.M.C. Buydens (2006). Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel. Chemometrics and Intelligent…
0 runs0 likes0 downloads0 reach0 impact
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
1 runs0 likes1 downloads1 reach0 impact
Oded Maron (1998). Learning from ambiguity. O. Maron, T. Lozano-Perez (1998). A Framework for Multiple Instance Learning. Neural Information Processing Systems. 10.
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
2 runs0 likes1 downloads1 reach0 impact
Weka implementation of FilteredClassifier
1 runs0 likes1 downloads1 reach0 impact
E. T. Frank, X. Xu (2003). Applying propositional learning algorithms to multi-instance data. Department of Computer Science, University of Waikato, Hamilton, NZ.
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A RapidMiner Workflow.
3 runs0 likes1 downloads1 reach0 impact
A RapidMiner Operator
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Learner classif.randomForest from package(s) randomForest.
5 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForestSRC from package(s) randomForestSRC.
1 runs0 likes1 downloads1 reach0 impact
Weka implementation of AttributeSelectedClassifier
1849 runs0 likes2 downloads2 reach224 impact
Weka implementation of AttributeSelectedClassifier
839 runs0 likes2 downloads2 reach122 impact
Weka implementation of AttributeSelectedClassifier
477 runs0 likes2 downloads2 reach54 impact
A RapidMiner Workflow.
1 runs0 likes2 downloads2 reach0 impact
A RapidMiner Operator
0 runs0 likes0 downloads0 reach0 impact
A RapidMiner Workflow.
1 runs0 likes1 downloads1 reach0 impact
A RapidMiner Operator
0 runs0 likes0 downloads0 reach0 impact
implementation for uploading results of instrument *matrixnet* on dataset *MagicTelescope*
12 runs0 likes1 downloads1 reach0 impact
Weka implementation of ZeroR
2 runs0 likes1 downloads1 reach0 impact
Flow generated by openml_run
55 runs0 likes5 downloads5 reach17 impact
Flow generated by openml_run
12 runs0 likes5 downloads5 reach8 impact
Moa implementation of OzaBag
450 runs0 likes2 downloads2 reach186 impact
Moa implementation of HoeffdingTree
63 runs0 likes2 downloads2 reach12 impact
Moa implementation of BLAST
131 runs0 likes2 downloads2 reach57 impact
Moa implementation of WeightedEnsemble
181 runs0 likes2 downloads2 reach51 impact
Learner classif.randomForest from package(s) randomForest.
5 runs0 likes1 downloads1 reach0 impact
Moa implementation of NaiveBayes
3 runs0 likes1 downloads1 reach0 impact