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ModelMultiplexer

ModelMultiplexer

Visibility: public Uploaded 21-07-2015 by Jakob Richter mlr_2.5, e1071_1.6.6, ada_2.0.3, randomForest_4.6.10 17 runs
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  • Verified_Supervised_Classification
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Learner ModelMultiplexer from package(s) e1071, ada, randomForest.

Parameters

classif.ada.bag.fracdefault: 0.5
classif.ada.bag.shiftdefault: FALSE
classif.ada.cpdefault: 0.01
classif.ada.deltadefault: 1e-10
classif.ada.iterdefault: 50
classif.ada.lossdefault: exponential
classif.ada.max.iterdefault: 20
classif.ada.maxcompetedefault: 4
classif.ada.maxdepthdefault: 30
classif.ada.maxsurrogatedefault: 5
classif.ada.minbucket
classif.ada.minsplitdefault: 20
classif.ada.model.coefdefault: TRUE
classif.ada.nudefault: 0.1
classif.ada.surrogatestyledefault: 0
classif.ada.typedefault: discrete
classif.ada.usesurrogatedefault: 2
classif.ada.verbosedefault: FALSE
classif.ada.xvaldefault: 10
classif.randomForest.classwt
classif.randomForest.cutoff
classif.randomForest.do.tracedefault: FALSE
classif.randomForest.importancedefault: FALSE
classif.randomForest.keep.inbagdefault: FALSE
classif.randomForest.localImpdefault: FALSE
classif.randomForest.maxnodes
classif.randomForest.mtry
classif.randomForest.nodesizedefault: 1
classif.randomForest.norm.votesdefault: TRUE
classif.randomForest.ntreedefault: 500
classif.randomForest.replacedefault: TRUE
classif.randomForest.sampsize
classif.svm.cachesizedefault: 40
classif.svm.class.weights
classif.svm.coef0default: 0
classif.svm.costdefault: 1
classif.svm.crossdefault: 0
classif.svm.degreedefault: 3
classif.svm.epsilondefault: 0.1
classif.svm.fitteddefault: TRUE
classif.svm.gamma
classif.svm.kerneldefault: radial
classif.svm.nudefault: 0.5
classif.svm.scaledefault: TRUE
classif.svm.shrinkingdefault: TRUE
classif.svm.tolerancedefault: 0.001
classif.svm.typedefault: C-classification
selected.learner

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