Compute model quality for a given dataset
rmse is the root-mean-squared-error,
mae is the mean
qae is quantiles of absolute error. These can both
be interpreted on the scale of the response;
mae is less sensitive
rsquare is the variance of the predictions divided by
by the variance of the response.
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Numeric vector of probabilit
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