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An error which is not self evident and confused with appellate power.
The apparent error is the difference between the test set target and output. The apparent bias is the average of the test set error. For a good minimum mean-squared-error design, the test set bias should be zero and the test set variance is the mean-squared-error. Hope this helps. P.S.
An error apparent on the face of record, on the other hand, an error that strikes one “on mere looking at the record and would not require any long-drawn process of reasoning on points where there may conceivably be two ” The Courts have considered on numerous occasions what an error apparent on the face of record is.