| 摘要 |
A method and system for identifying parameters that are important in predicting a target variable. The method comprises the steps of compiling training data, said training data identifying, for each of a first set of subjects, values for each of a first set of parameters; and compiling test data, said test data identifying, for each of a second set of subjects, values for each of a second set of parameters, said first and second sets of parameters having at least a plurality of common parameters. The method comprises the further steps of using the data in the training data, and using a nearest neighbor procedure, to identify, for each of the second set of subjects, a value for a target parameter; and processing the training data and the test data, according to a predefined procedure, to determine the relative importance of at least selected ones of the first group of parameters in predicting the values for the target parameter.
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