Oracle Data Miner supports the following types of sampling:
In a stratified sample, the population is divided into separate groups according to values of an attribute; each group is randomly sampled separately. For example, you might have an attribute SEX with two values "Male" and "Female"; a stratified sample would be a random sample of all cases where SEX="Male" combined with a random sample of all cases where SEX="Female". In the sample, the two groups will have approximately the same number of members. For information about Stratified samples, see How to Use Stratified Sampling.
The Total number of cases is displayed in a read-only field.
You can specify:
Click OK to close the dialog and save any changes.
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