data.table(>= 1.10), assertthat(>= 0.2), Metrics(>= 0.1),
xgboost(>= 0.6), glmnet(>= 2.0), parallel, kableExtra, tm(>=
0.7), naivebayes(>= 0.9), ClusterR(>= 1.1), FNN(>= 1.1),
liquidSVM(>= 1.2), ranger(>= 0.10), caret(>= 6.0),
doParallel(>= 1.0)
data.table(>= 1.10), assertthat(>= 0.2), parallel,
doParallel(>= 1.0), Metrics(>= 0.1)
data.table (>= 1.10), assertthat (>= 0.2), parallel,
doParallel (>= 1.0), Metrics (>= 0.1)
data.table (>= 1.10), Rcpp (>= 1.0), assertthat (>= 0.2),
parallel, doParallel (>= 1.0), Metrics (>= 0.1)
knitr, rlang, testthat, rmarkdown, naivebayes(>= 0.9),
ClusterR(>= 1.1), FNN(>= 1.1), liquidSVM(>= 1.2), ranger(>=
0.10), caret(>= 6.0), xgboost(>= 0.6), glmnet(>= 2.0),
kableExtra, tm(>= 0.7), Matrix(>= 1.2)
knitr, rlang, testthat, rmarkdown, naivebayes(>= 0.9),
ClusterR(>= 1.1), FNN(>= 1.1), ranger(>= 0.10), caret(>= 6.0),
xgboost(>= 0.6), glmnet(>= 2.0), kableExtra, tm(>= 0.7),
Matrix(>= 1.2), e1071(>= 1.7)
knitr, rlang, testthat, rmarkdown, naivebayes(>= 0.9),
ClusterR(>= 1.1), FNN(>= 1.1), ranger(>= 0.10), caret(>= 6.0),
xgboost(>= 0.6), glmnet(>= 2.0), e1071(>= 1.7)