Step-by-step explanation:
First, note that a flexible statistical learning method refers to using models that take into account agree difference in the observed data set, and are thus adjustable. While the inflexible method usually involves a model that has no regard to the kind of data set.
a) The sample size n is extremely large, and the number of predictors p is small. (BETTER)
In this case since the sample size is extremely large a flexible model is a best fit.
b) The number of predictors p is extremely large, and the number of observations n is small. (WORSE)
In such case overfiting the data is more likely because of of the small observations.
c) The relationship between the predictors and response is highly non-linear. (BETTER)
The flexible method would be a better fit.
d) The variance of the error terms, i.e. σ2=Var(ϵ), is extremely high. (WORSE)
In such case, using a flexible model is a best fit for the error terms because it can be adjusted.
Answer:
x = 21.52
Step-by-step explanation:
Given:
hypotenuse (That has to be found out)
Side adjacent to the given angle
and an angle,
Hence we can say that Cos ratio would be used;
Cos(28) = 19 / x
x = 19 / Cos(28)
x = 21.52
Hope this helps!
505050505 my girlfriend is here in a hurry jon and she
Answer:
^ratio/perbandingan (indonesia)^
2 minutes= 50 kbee lifts
3 minutes= ...... knee lifts
ok, enter:
50 × 3/2
=25 × 3
=75 knee lifts
<h2>FINALLY FOUND, M0DERATOR!!!</h2>
A translation changes the position of the original image and all side lengths remain the same.
