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- W2088469176 abstract "One approach to the problem of selecting predictor variables in the two-group classification situation is to compare the cross-validated classification accuracies of all possible subsets. Because of the obvious time constraints of this approach for even a moderate number of predictors, a computer program was written to accomplish the task. The program examines the cross-validated classification hit rates of all possible subsets of predictor variables and identifies the user-specified number of best subsets overall and for each subset size." @default.
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- W2088469176 title "Selecting Predictor Variables in Two-Group Classification Problems" @default.
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- W2088469176 doi "https://doi.org/10.1177/0013164495055003008" @default.
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