Cross Checking (Cross Validation)
Cross-checking or cross-validation is an error-checking technique that is usually applied to forms that compare two or more field inputs.
Cross Checking (Cross Validation)
Overview
Cross-checking or cross-validation is an error-checking technique that is usually applied to forms that compare two or more field inputs.
Cross-validation is a statistical method of analyzing, evaluating, and comparing learning algorithms by splitting data into two sections:
- Learn or Train the Model
- Validate the model
In typical cross-validation, the training and validation sets must be crossed in successive rounds, so that each data point has a chance to be validated against. K-fold type of cross-validation is the basic form of cross-validation.
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