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:
40 is the answer . is it right or Not?
There u just needed to search the formula
<u>Answer:
</u>
The value of the exponential expression 
is 2
<u>Solution:</u>
16 superscript one-fourth=
As per the problem,
We have to find the value of
16 in terms of 2 can be written as 
= 
=
As per the exponential rule, 
=
Here, 
= 
= 2
Hence, the value is 2.
Answer:
117 Girls
Step-by-step explanation:
If 64% of the kids are boys, then 36% are girls 64% + 36% = 100%
.36 x 325 = 117 girls
Proof
.64 x 325 = 208 boys
208 + 117 = 325
