Abstract:
A technique for determining an obverse weight. A set of cases can be divided into bins. An obverse weight for a bin can be determined based on an importance weight of the bin and a variance of an error estimate of the bin.
Abstract:
A technique to perform cross-validation using a set of randomly selected labeled cases and a set of non-randomly selected labeled cases. A training set for use during cross-validation can include cases from both sets. A test set for use during cross-validation can include cases from the randomly selected set but exclude cases from the non-randomly selected set.