false-positive error - перевод на Английский
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  3. false-positive error

false-positive error - перевод на Английский

Source monitoring error; Faulty source monitoring; False fame
Найдено результатов: 1916
false-positive error      
(type 2 error) ошибка второго типа, разрешение доступа незаконному пользователю
type 2 error         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate
ошибка второго типа, разрешение доступа незаконному пользователю
level of significance         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate

общая лексика

уровень значимости

type II error         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate

общая лексика

ошибка второго рода

false alarm rate         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate
частота ложных тревог
type 1 error         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate
ошибка первого типа, отказ в доступе законному пользователю
error of the second kind         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate

общая лексика

ошибка второго рода

error of the third kind         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate

общая лексика

ошибка третьего рода

ошибка третьего рода (совершаемая при принятии методики испытаний на основе ошибочного допущения)

type 2 error         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate

математика

ошибка второго рода

level of significance         
  • The results obtained from negative sample (left curve) overlap with the results obtained from positive samples (right curve). By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives).
CONCEPTS FROM STATISTICAL HYPOTHESIS TESTING
Type I error; Type II error; Type I error rate; Type 1 error; Type 2 error; Failed to show; Type one error; Type II Error; Type I Error; Error of the first kind; Error of the second kind; Error of the third kind; Error of the fourth kind; Type I and Type II errors; Α error; Β error; A error; B error; Alpha level; Type I errors; Type 1 and type 2 error; False Alarm Rate; Alpha error; Beta error; Level of significance; Types of error; Type I and type II error; Type i and type ii error; Type 1 and Type 2 errors; Type II errors; False alarm rate
уровень значимости (в статистике)

Определение

ляпсус
м.
Ошибка, оговорка, досадный промах (обычно в устной речи и на письме).
Показать больше определений

Википедия

Source-monitoring error

A source-monitoring error is a type of memory error where the source of a memory is incorrectly attributed to some specific recollected experience. For example, individuals may learn about a current event from a friend, but later report having learned about it on the local news, thus reflecting an incorrect source attribution. This error occurs when normal perceptual and reflective processes are disrupted, either by limited encoding of source information or by disruption to the judgment processes used in source-monitoring. Depression, high stress levels and damage to relevant brain areas are examples of factors that can cause such disruption and hence source-monitoring errors.

https://en.wikipedia.org/wiki/Source-monitoring error
Как переводится false-positive error на Русский язык
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