Example Data Sets
Several data sets are contained in the package
as examples. Each simulates an
rset object but the
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
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
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