During modeling of the crisp-dm method, we would a. clarify business goals for the data mining project b. assess if the model achieves business goals c. apply selected modeling techniques d. select a subset of data to be used and prepare it

c. apply selected modeling techniques

Explanation:

The CRISP-DM method is a cross-industry process used for data mining that is understood by all industries that may use it. During modeling of the CRISP-DM method, we would apply selected modeling techniques that are chosen to best meet the goals of this methodology and is understood by all those that will use it.