In an experiment, independent variables $\_\_\_\_\_\_\_\_\_\_\_\_.$

Question $16$Answer

a$.$

satisfies P$($X$,$ Y$)=$ P$($X$)*$ P$($Y$),$ where X and Y are the variables and P is the probability function

b$.$

have no effect on one another

c$.$

are various in value to evaluate their impact on dependent variables

d$.$

All of theseIf the training data classes are unknown, which of the following algorithms could be used to find useful classes?

Question $17$Answer

a$.$

Pruning Analysis

b$.$

Binary Sort

c$.$

Bayesian Analysis

d$.$

Clustering