This time we are looking on the **crossword puzzle clue** for: *Characteristic.*

it’s A 14 letters **crossword definition**.

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## Possible Answers:
**TRAIT**.

**TRAIT**.

Last seen on: –LA Times Crossword 10 Feb 21, Wednesday

–The Sun – Two Speed Crossword – Dec 17 2020

–Thomas Joseph – King Feature Syndicate Crossword – Oct 22 2020

–Eugene Sheffer – King Feature Syndicate Crossword – Oct 21 2020

–The Sun – Two Speed Crossword – Oct 14 2020

–The Washington Post Crossword – Aug 13 2020

–LA Times Crossword 13 Aug 20, Thursday

NY Times Crossword 9 Jan 20, Thursday

### Random information on the term “Characteristic”:

Sources: Fawcett (2006), Powers (2011), Ting (2011), and CAWCR

A receiver operating characteristic curve, or ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied.

The ROC curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings. The true-positive rate is also known as sensitivity, recall or probability of detection in machine learning. The false-positive rate is also known as probability of false alarm and can be calculated as (1 − specificity). It can also be thought of as a plot of the power as a function of the Type I Error of the decision rule (when the performance is calculated from just a sample of the population, it can be thought of as estimators of these quantities). The ROC curve is thus the sensitivity as a function of fall-out. In general, if the probability distributions for both detection and false alarm are known, the ROC curve can be generated by plotting the cumulative distribution function (area under the probability distribution from − ∞ {\displaystyle -\infty } to the discrimination threshold) of the detection probability in the y-axis versus the cumulative distribution function of the false-alarm probability on the x-axis.