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In the rodent 5-CSRTT, differences between premature responding and false errors (analogous to Go/NoGo or Continuous Performance Task commission errors) have been highlighted (45).
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Compared with false positive errors, false negative errors incur a greater loss to organizations which are connected to the systems by networks.
Nearly 50% of the other false positive errors are boundary errors.
The proposed method utilizes the neural network model to consider the cost ratio of false negative errors to false positive errors.
Subsequently, the Humphrey central 30 2 full-threshold program (C30-2 program) was used to determine the visual field, which was defined as reliable when fixation losses, false-positive errors, and false-negative errors were less than 20%.
Overall, both methods have higher recall than precision, showing that false positive errors are more common than false negative errors.
Second, false-positive and false-negative errors may also exist in the experimentally determined subcellular localization data.
Like any diagnostic test, false-positive and false-negative errors are possible, as illustrated in Table 1.
By this, false-positive and false-negative errors may be made in reading radiographs for calcified discs.
Diagnosis of AOM by physicians is currently suboptimal, with both false-positive and false-negative errors [ 76].
First we calculate false positive error, false negative error, and similarity index for each segmentation results of all methods.
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