Question

The data understanding phase of CRISP-DM may include:

A. Understanding which algorithm gives the best predictive power
B. Understanding trends and differences among data without actually making predictions
C. All of the above
D. Understanding the business problem to be solved with data
E. Understanding how to use the final prediction in practice

Answer 1

The data understanding phase of CRISP-DM involves understanding trends and differences in the data without making predictions, hence the correct answer is B.

Step-by-step explanation:

The data understanding phase of the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework is crucial for gaining insights into the dataset you are working with. The correct answer to the student's question is B. Understanding trends and differences among data without actually making predictions.

This phase involves tasks such as data collection, data description, data exploration, and data quality verification. The goal is to become familiar with the data, identify data quality issues, discover first insights into the data, or detect interesting subsets to form hypotheses for hidden information. It is not about choosing algorithms for predictive power or how to use the final prediction in practice; those steps come later in the process.