A secure biometrics system authenticates the user based on his/her physiological (e. g., fingerprint, face, voice) or behavioural (e. g., gait, hand gesture, keystroke) traits. Typically, a binary classification model will be developed to generate predicted probabilities based on the input information. Please explain (15 Points): a. How do you convert the predicted probabilities into class predications?

p ÷ r = tan(x)

step-by-step explanation:

given that there is a figure below shows a right triangle: a right triangle is shown with hypotenuse equal to q units and the length of the legs equal to p units and r units.

graph is missing so i will create the graph as per given information.

the angle between the legs having lengths p units and q units is y degrees. the angle between the legs having lengths r units and q units is x degrees.

now we need to find about what is p ÷ r equal to.

so we can use trigonometric ratio tan(x)=[altitude]/[base] to find the value of p ÷ r, because p is the altitude and r is the base.

p ÷ r=tan(x)

hence final answer is p ÷ r=tan(x).

you bought 31 v bucks

step-by-step explanation:

25+6=31

c

step-by-step explanation: easy math