Methods {validation algorithms} can check correlations, predictions, and designs.
bootstrapping validation
Method can use only internal data.
external validation
Other data can pair with model to predict activity.
cross-validation
For all data subsets, algorithm {leave-one-out, vision} {leave-groups-out, vision} can remove data subset and calculate remainder, such as for drug validation.
cross-validation: correlation coefficient
Method can validate and predict data.
fitness function
Validation method {lack-of-fit method} {jackknife validation method, vision} can measure fit, such as for drug validation.
Fisher F-test
Validation method can use F test.
other methods
Methods can be for drug validation {predictive residual sum of squares, vision} {scrambling dependent Y-values, vision} {standard deviation method, vision} {standard error of predictions, vision} {standard error of regression, vision}.
Mathematical Sciences>Computer Science>Systems>Computer Vision>Algorithms>Validation
3-Computer Science-Systems-Computer Vision-Algorithms-Validation
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Date Modified: 2022.0224