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weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree (2)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_JRip (2)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.SimpleCart (2)
Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (1984). Classification and Regression Trees. Wadsworth International Group, Belmont, California.
2 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_J48 (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.MultiClassClassifierUpdateable_SGD (2)
Weka implementation of MultiClassClassifierUpdateable
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_NaiveBayes (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_ZeroR (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_BayesNet_K2 (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes2 downloads2 reach1 impact
weka.Bagging_CostSensitiveClassifier_OneR (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_Stacking_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_LogitBoost_REPTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_LogitBoost_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
weka.CostSensitiveClassifier_LogitBoost_RandomSubSpace_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes2 downloads2 reach1 impact
classif.lda (2)
Learner classif.lda from package(s) MASS.
2 runs0 likes1 downloads1 reach0 impact
weka.IsolationForest (3)
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou: Isolation Forest. In: ICDM, 413-422, 2008.
2 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.rpart (1)
The performanceEstimation standardWF using rpart as the learner
2 runs0 likes1 downloads1 reach0 impact
R.3.1.2.classif.randomForest (1)
The performanceEstimation standardWF using randomForest as the learner
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (2)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.rpart (4)
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach1 impact
classif.sda.tuned (4)
Learner classif.sda.tuned from package(s) sda.
2 runs0 likes1 downloads1 reach0 impact
classif.rpart (18)
Learner classif.rpart from package(s) rpart.
2 runs0 likes2 downloads2 reach2 impact
classif.randomForest (18)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes2 downloads2 reach1 impact
classif.randomForest (19)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (21)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.rpart (22)
Learner classif.rpart from package(s) rpart.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (25)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
weka.Stacking (1)
No description
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weka.Stacking_NaiveBayes_J48_J48_J48_IBk_IBk_IBk_RandomForest_RandomForest_RandomForest (1)
No description
2 runs0 likes1 downloads1 reach0 impact
rm.process.bagging_parallel_decision_tree (1)
A RapidMiner Workflow.
2 runs0 likes2 downloads2 reach0 impact
weka.REPTree (14)
Weka implementation of REPTree
2 runs0 likes1 downloads1 reach0 impact
classif.binomial (2)
Learner classif.binomial from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
weka.M5P (4)
Ross J. Quinlan: Learning with Continuous Classes. In: 5th Australian Joint Conference on Artificial Intelligence, Singapore, 343-348, 1992. Y. Wang, I. H. Witten: Induction of model trees for…
2 runs0 likes2 downloads2 reach2 impact
weka.M5Rules (4)
Geoffrey Holmes, Mark Hall, Eibe Frank: Generating Rule Sets from Model Trees. In: Twelfth Australian Joint Conference on Artificial Intelligence, 1-12, 1999. Ross J. Quinlan: Learning with Continuous…
2 runs0 likes2 downloads2 reach2 impact
classif.logreg (4)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.mlp (1)
Learner classif.mlp from package(s) RSNNS.
2 runs0 likes1 downloads1 reach0 impact
classif.plsdaCaret (1)
Learner classif.plsdaCaret from package(s) caret.
2 runs0 likes1 downloads1 reach0 impact
classif.ranger (1)
Learner classif.ranger from package(s) ranger.
2 runs0 likes1 downloads1 reach0 impact
weka.CostSensitiveClassifier_AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48 (3)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach2 impact
classif.multinom (1)
Learner classif.multinom from package(s) nnet.
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_RandomSubSpace_REPTree (2)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
weka.CostSensitiveClassifier_Bagging_CostSensitiveClassifier_AdaBoostM1_REPTree (1)
Weka implementation of CostSensitiveClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.Bagging_CostSensitiveClassifier_RandomTree (1)
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
2 runs0 likes0 downloads0 reach2 impact
example_implementation (2)
example implementation description
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weka.AdditiveRegression_REPTree (2)
J.H. Friedman (1999). Stochastic Gradient Boosting.
2 runs0 likes1 downloads1 reach0 impact
weka.AdaBoostM1_Bagging_REPTree (1)
Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
2 runs0 likes1 downloads1 reach2 impact
classif.binomial (6)
Learner classif.binomial from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.boosting (5)
Learner classif.boosting from package(s) adabag, rpart.
2 runs0 likes1 downloads1 reach0 impact
classif.cforest (5)
Learner classif.cforest from package(s) party.
2 runs0 likes1 downloads1 reach0 impact
classif.logreg (8)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.probit (4)
Learner classif.probit from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.rotationForest (4)
Learner classif.rotationForest from package(s) rotationForest.
2 runs0 likes1 downloads1 reach0 impact
classif.rpart (40)
Learner classif.rpart from package(s) rpart.
2 runs0 likes1 downloads1 reach0 impact
classif.xgboost (5)
Learner classif.xgboost from package(s) xgboost.
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classif.xyf (3)
Learner classif.xyf from package(s) kohonen.
2 runs0 likes1 downloads1 reach0 impact
weka.MDD (1)
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.FilteredClassifier_ReplaceMissingValues_MDD (1)
Weka implementation of FilteredClassifier
2 runs0 likes1 downloads1 reach0 impact
weka.ZeroR (11)
Weka implementation of ZeroR
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (47)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.naiveBayes.bagged (1)
Learner classif.naiveBayes.bagged from package(s) e1071.
2 runs0 likes1 downloads1 reach0 impact
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LMT (3)
Weka implementation of AttributeSelectedClassifier
2 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.weight_boosting.AdaBoostClassifier (2)
Flow generated by run_task
2 runs0 likes1 downloads1 reach0 impact
ModelMultiplexer (2)
Learner ModelMultiplexer from package(s) kernlab, randomForest.
2 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (1)
Flow generated by run_task
2 runs0 likes2 downloads2 reach1 impact
sklearn.neighbors.classification.KNeighborsClassifier (1)
Flow generated by run_task
2 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier (2)
Flow generated by run_task
2 runs0 likes1 downloads1 reach0 impact
weka.LogitBoost_Bagging_IBk (1)
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
2 runs0 likes1 downloads1 reach0 impact
sklearn.ensemble.forest.ExtraTreesClassifier (3)
Flow generated by run_task
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (55)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest (1)
Learner mlr.classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.filtered.oversampled (1)
Learner mlr.classif.randomForest.filtered.oversampled from package(s) mlr, randomForestSRC, randomForest.
2 runs0 likes2 downloads2 reach1 impact
mlr.regr.rpart (1)
Learner mlr.regr.rpart from package(s) rpart.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.preproc (1)
Learner mlr.classif.randomForest.preproc from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.bartMachine (6)
Learner classif.bartMachine from package(s) bartMachine.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.randomForest.tuned (7)
Learner mlr.classif.randomForest.tuned from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
classif.logreg (12)
Learner classif.logreg from package(s) stats.
2 runs0 likes1 downloads1 reach0 impact
classif.randomForest (58)
Learner classif.randomForest from package(s) randomForest.
2 runs0 likes1 downloads1 reach0 impact
mlr.classif.J48 (1)
Learner mlr.classif.J48 from package(s) RWeka.
2 runs0 likes0 downloads0 reach0 impact
weka.MultiSearch_IBk (1)
Weka implementation of MultiSearch
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weka.FilteredClassifier_MultiSearch_J48 (1)
Weka implementation of FilteredClassifier
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weka.FilteredClassifier_MultiSearch_AdditiveRegression_REPTree (1)
Weka implementation of FilteredClassifier
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.cforest (1)
Learner mlr.regr.cforest from package(s) party.
2 runs0 likes0 downloads0 reach0 impact
mlr.regr.ctree (1)
Learner mlr.regr.ctree from package(s) party.
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mlr.regr.earth (1)
Learner mlr.regr.earth from package(s) earth.
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mlr.regr.fnn (1)
Learner mlr.regr.fnn from package(s) FNN.
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mlr.regr.gbm (1)
Learner mlr.regr.gbm from package(s) gbm.
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mlr.regr.glmnet (1)
Learner mlr.regr.glmnet from package(s) glmnet.
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mlr.regr.ksvm (1)
Learner mlr.regr.ksvm from package(s) kernlab.
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mlr.regr.lm (1)
Learner mlr.regr.lm from package(s) stats.
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mlr.regr.nnet (1)
Learner mlr.regr.nnet from package(s) nnet.
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mlr.regr.pcr (1)
Learner mlr.regr.pcr from package(s) pls.
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mlr.regr.penalized.lasso (1)
Learner mlr.regr.penalized.lasso from package(s) !penalized.
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mlr.regr.penalized.ridge (1)
Learner mlr.regr.penalized.ridge from package(s) !penalized.
2 runs0 likes1 downloads1 reach0 impact
mlr.regr.plsr (1)
Learner mlr.regr.plsr from package(s) pls.
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mlr.regr.randomForest (1)
Learner mlr.regr.randomForest from package(s) randomForest.
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mlr.regr.rsm (1)
Learner mlr.regr.rsm from package(s) rsm.
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mlr.regr.rvm (1)
Learner mlr.regr.rvm from package(s) kernlab.
2 runs0 likes0 downloads0 reach0 impact
mlr.classif.naiveBayes.preproc.preproc (1)
Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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mlr.classif.naiveBayes.preproc.preproc (3)
Learner mlr.classif.naiveBayes.preproc.preproc from package(s) e1071.
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mlr.classif.rpart.preproc.preproc (3)
Learner mlr.classif.rpart.preproc.preproc from package(s) rpart.
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mlr.classif.kknn.preproc.preproc (9)
Learner mlr.classif.kknn.preproc.preproc from package(s) !kknn.
2 runs0 likes0 downloads0 reach0 impact