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Uploaded 09-04-2016 by
Junquan Xi
mlr_2.8, kernlab_0.9.23, randomForest_4.6.12
2 runs
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Learner ModelMultiplexer from package(s) kernlab, randomForest.
Parameters
classif.ksvm.C classif.ksvm.cache classif.ksvm.class.weights classif.ksvm.degree classif.ksvm.epsilon classif.ksvm.fit classif.ksvm.kernel classif.ksvm.nu classif.ksvm.offset classif.ksvm.order classif.ksvm.scale classif.ksvm.scaled classif.ksvm.shrinking classif.ksvm.sigma classif.ksvm.tol classif.ksvm.type classif.randomForest.classwt classif.randomForest.cutoff classif.randomForest.do.trace classif.randomForest.importance classif.randomForest.keep.inbag classif.randomForest.localImp classif.randomForest.maxnodes classif.randomForest.mtry classif.randomForest.nodesize classif.randomForest.norm.votes classif.randomForest.ntree classif.randomForest.replace classif.randomForest.sampsize kind default: Mersenne-Twister normal.kind default: Inversion seed default: 1 selected.learner
0
Runs
Parameter:
none
classif.ksvm.C
classif.ksvm.cache
classif.ksvm.class.weights
classif.ksvm.degree
classif.ksvm.epsilon
classif.ksvm.fit
classif.ksvm.kernel
classif.ksvm.nu
classif.ksvm.offset
classif.ksvm.order
classif.ksvm.scale
classif.ksvm.scaled
classif.ksvm.shrinking
classif.ksvm.sigma
classif.ksvm.tol
classif.ksvm.type
classif.randomForest.classwt
classif.randomForest.cutoff
classif.randomForest.do.trace
classif.randomForest.importance
classif.randomForest.keep.inbag
classif.randomForest.localImp
classif.randomForest.maxnodes
classif.randomForest.mtry
classif.randomForest.nodesize
classif.randomForest.norm.votes
classif.randomForest.ntree
classif.randomForest.replace
classif.randomForest.sampsize
kind
normal.kind
seed
selected.learner
Supervised Classification
Supervised Regression
Learning Curve
Supervised Data Stream Classification
Clustering
Machine Learning Challenge
Survival Analysis
Subgroup Discovery
area under roc curve
average cost
binominal test
build cpu time
build memory
c index
chi-squared
class complexity
class complexity gain
confusion matrix
correlation coefficient
cortana quality
coverage
f measure
information gain
jaccard
kappa
kb relative information score
kohavi wolpert bias squared
kohavi wolpert error
kohavi wolpert sigma squared
kohavi wolpert variance
kononenko bratko information score
matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
mean weighted area under roc curve
mean weighted f measure
mean weighted precision
weighted recall
number of instances
os information
positives
precision
predictive accuracy
prior class complexity
prior entropy
probability
quality
ram hours
recall
relative absolute error
root mean prior squared error
root mean squared error
root relative squared error
run cpu time
run memory
run virtual memory
scimark benchmark
single point area under roc curve
total cost
unclassified instance count
usercpu time millis
usercpu time millis testing
usercpu time millis training
webb bias
webb error
webb variance
joint entropy
pattern team auroc10
wall clock time millis
wall clock time millis training
wall clock time millis testing
unweighted recall