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false negative error

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false negative error
Type II error Statistics An error which occurs when the statistical analysis of a trial detects no difference in outcomes between a treatment group and a control group when in fact a true difference exists


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Loss function 2 = (2 x false negative) + false positive, / 3 where we weight the false negative error as twice as bad as the lack of specificity.
False negative errors are more serious than false positive errors because intrusions are going undetected.
Measurements were based on True Positive and True Negative hit rates, and False Positive and False Negative error rates.
 
 
 
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