mlbench: Machine Learning Benchmark Problems
A collection of artificial and real-world machine learning
benchmark problems, including, e.g., several
data sets from the UCI repository.
Version:
2.1-6
Depends:
R (≥ 2.10)
Published:
2024年12月30日
Author:
Friedrich Leisch
ORCID iD
[aut] (maintainer up to 2024),
Evgenia Dimitriadou [aut],
Kurt Hornik
ORCID iD [cre]
Maintainer:
Kurt Hornik <Kurt.Hornik at R-project.org>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse suggests:
adabag,
agghoo,
alookr,
archetypes,
arf,
arulesCBA,
ATR,
aum,
BKP,
bnclassify,
bnns,
bolasso,
BoomSpikeSlab,
BoostMLR,
Boruta,
caret,
caretEnsemble,
clusterSim,
ConfusionTableR,
Cubist,
cuda.ml,
dann,
datarobot,
discrim,
doParallel,
doSNOW,
e1071,
easyalluvial,
ecr,
Elja,
Evacluster,
evtree,
ExhaustiveSearch,
explainer,
EZtune,
fastml,
flacco,
flexmix,
FSelector,
gamclass,
GAparsimony,
ggparty,
GMDH2,
gtregression,
h2o,
hmclearn,
HSAUR3,
interactionRCS,
IPMRF,
ipred,
isotree,
klaR,
LLM,
localICE,
mboost,
mlearning,
mlexperiments,
mllrnrs,
mlr,
mlr3cluster,
mlr3pipelines,
mlrCPO,
mlt.docreg,
neighbr,
nestedcv,
party,
partykit,
pdp,
pre,
r2pmml,
randomForestSRC,
rbooster,
RBPcurve,
roclab,
RWeka,
sjtable2df,
skedastic,
solitude,
sparklyr,
spikeSlabGAM,
stabm,
stressor,
subsemble,
SuperLearner,
swag,
T4transport,
tidydann,
tidypredict,
tidyrules,
tram,
tramnet,
trtf,
vcrpart,
vip,
vivo,
zooimage
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