$14,$

is defined as the coefficient of determination in a statistical measure of regression

model.

A$)$ R$-$squared

B$)$ Root mean squared error

C$)$ Ordinary least squares

D$)$ Mean square error

E$)$ Mean absolute error

Using the $k-$nearest neighbor machine learning algorithm for classification, larger values of $k$ :

A$)$ sharpen the distinction between classes.

B$)$ reduce the effect of noise on the classification.

C$)$ increase the effect of noise on the classification.

D$)$ do not change the effect of noise on the classification.

$16,$

What is a major drawback to the basic majority voting classification in $kNN?$

A$)$ It requires frequent human subjective input during computation.

B$)$ Classes that are more clustered tend to dominate prediction.

C$)$ Even the naive version of the algorithm is hard to implement.

D$)$ Classes with more frequent examples tend to dominate prediction.

What is the main reason parallel processing is sometimes used for data mining?

A$)$ because the hardware exists in most organizations and it is available to use

B$)$ because the most of the algorithms used for data mining require it

C$)$ because of the massive data amounts and search efforts involved

D$)$ because any strategic application requires parallel processing