Outputs Modeling technique Document the actual modeling technique that is to be used. Modeling assumptions Many modeling techniques make specific assumptions on the data, e.g., all attributes have uniform distributions, no missing values allowed, class attribute must be symbolic etc. Record any such assumptions made. As the first step in modeling, select the actual modeling technique that is to be used. Whereas you possibly already selected a tool in business understanding, this task refers to the specific modeling technique, e.g., decision tree building with C4.5 or neural network generation with back propagation. If multiple techniques are applied, perform this task for each technique separately.

http://kt.ijs.si/panovp/OntoDM#OntoDM-KDD_000067

Outputs Modeling technique Document the actual modeling technique that is to be used. Modeling assumptions Many modeling techniques make specific assumptions on the data, e.g., all attributes have uniform distributions, no missing values allowed, class attribute must be symbolic etc. Record any such assumptions made.

As the first step in modeling, select the actual modeling technique that is to be used. Whereas you possibly already selected a tool in business understanding, this task refers to the specific modeling technique, e.g., decision tree building with C4.5 or neural network generation with back propagation. If multiple techniques are applied, perform this task for each technique separately.

CRISP-DM 1.0

modeling technique selection

modeling technique selection

http://kt.ijs.si/panovp/OntoDM#OntoDM-KDD_000083

http://kt.ijs.si/panovp/OntoDT#OntoDT_245812