A classification model’s misclassification rate on the validation data is a better measure of the model’s predictive ability on new (unseen) data than its misclassification rate on the training data. Explain whether this statement is accurate and why that is so.

468

step-by-step explanation:

1) is right

step-by-step explanation:

x= -3 and

step-by-step explanation:

to find the roots of a cubic, use division or factoring to find the factors then set equal to 0. as this is a difference of cubes, it factors into

where a is the cube root of .

here   this is 27 and the cube root of 27 is 3. so we write using the form:

.

set each factor to 0 and solve for x.

x-3=0

x=3

the quadratic expression does not factor and must be solved using the quadratic formula.

where a = 1, b=3, and c=9

this cubic has two complex roots.