LOOCV is not random because you fit all n possible models that leave out a single observation. k-fold CV is random because we randomly split the data into k chunks. How many models would we need to fit to exhaustively obtain MSP E for every excluded chunk of size n/k?

answer: i literally just answered this question but they want me to do it again

step-by-step explanation:

the answer would be  

a.

3: 1

step-by-step explanation:

18 units²

step-by-step explanation:

first let's find altitude bd using the distance formula

d = √((y₂ - y₁)² + (x₂ - x₁)²)

bd = √((0 - -3)² + (0 - 3)²)

bd = √18

given the placement of points a and c, we can denote that point d bisects segment ac.

we will call ac the base.

using the distance formula

ac = √((0 - 6)² + (-6 - 0)²)

ac = √72

knowing our base and our height, we can plug these into our triangle area formula

area = (b * h)/2

area = (√18 * √72) / 2

area = (√1296) / 2

area = 36 / 2

area = 18 units²