cv_experiment: Estimate the accuracy of models on a dataset using...
In tfglynn/sdsu-research-code: What the package does (short line)

cv_experiment tests the effectiveness of cross-validation for estimating the accuracy of different models.

cv_experiment(
  dataset_name,
  dataset,
  nsamples,
  folds,
  times = 50,
  models = my_model_list,
  seed = 2021
)

`dataset_name`	a unique string identifying the dataset
`dataset`	the data set to use
`nsamples`	how large the training set should be
`folds`	number of folds to use, with a -1 meaning leave-one-out
`times`	how many times to train and test the models, default 500
`models`	the models to train
`seed`	random seed