contestada

populating missing data with default values, correcting data inaccuracies, and summarizing overly detailed data is an aspect of the phase of the crisp-dm. question 17 options: a) data understanding b) evaluation c) data preparation d) modeling

Respuesta :

asarwar

Populating missing data values with default values, correcting data inaccuracies, and summarizing overly detailed data is a feature of the data preparation phase of the CRISP-DM. Hence, option (c) 'data preparation' is the correct answer.

The 'CRoss Industry Standard Process for Data Mining' (CRISP-DM) refers to a process model that functions as the base for a data science process. CRISP-DM is generally a methodology for understanding how business-related problems are solved with data-based solutions. CRISP-DM has six sequential phases:

  • Business understanding: Determining the needs of the business need.
  • Data understanding: Collecting and analyzing data sets to accomplish the business project, or correct impute.
  • Data preparation: Preparing/organizing final datasets by removing erroneous values as well as summarizing data details.
  • Modeling: Evaluating various modeling techniques to choose one best.
  • Evaluation: Accessing the results of multiple business models and selecting one that best works to meet business objectives.
  • Deployment: Delivering the final result or output to the stakeholders.

As per the above discussion, it is obvious that it is the data preparation phase of the CRISP-DM that corrects values with errors, replaces missing values with default data values, and summarizes overly detailed data.

You can leran more about CRISP-DM at

https://brainly.com/question/14991835

#SPJ4

Otras preguntas