Data sets: Artificial bootstrap data sets for use with Daim.
The data sets containing 100 sets of predictions, id's and corresponding labels were obtained from 100 bootstrap samples.
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A three element list. The first element,
prob.oob, is itself a matrix where rows are
observations and colums are the (bootstrap) samples. Each of these 100
colums is a numerical prediction for each bootstrap sample.
The second list entry,
prob.app is a vector of
numerical apparent predictions.
The third list entry,
labels is a 100
element list in which each element is a vector of true class
labels corresponding to the predictions.
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