Description Details Value Examples

Example Data Sets

Several data sets are contained in the package
as examples. Each *simulates* an `rset`

object but the `splits`

columns are not included to save space.

`precise_example`

contains the results of the classification analysis of a real data set using 10-fold CV. The holdout data sets contained thousands of examples and have precise performance estimates. Three models were fit to the original data and several performance metrics are included.`noisy_example`

was also generated from a regression data simulation. The original data set was small (50 samples) and 10-repeated of 10-fold CV were used with four models. There is an excessive of variability in the results (probably more than the resample-to-resample variability). The RMSE distributions show fairly right-skewed distributions.`concrete_example`

contains the results of the regression case study from the book*Applied Predictive Modeling*. The original data set contained 745 samples in the training set. 10-repeats of 10-fold CV was also used and 13 models were fit to the data.`ts_example`

is from a data set where rolling-origin forecast resampling was used. Each assessment set is the summary of 14 observations (i.e. 2 weeks). The analysis set consisted of a base of about 5,500 samples plus the previous assessment sets. Four regression models were applied to these data.`ex_object`

objects were generated from the`two_class_dat`

data in the`modeldata`

package. Basic 10-fold cross validation was used to evaluate the models. The`posterior_samples`

object is samples of the posterior distribution of the model ROC values while`contrast_samples`

are posterior probabilities form the differences in ROC values.

Tibbles with the additional class `rset`

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