_____________is the step in data-mining which includes addressing missing and erroneous data, reducing the number of variables, defining new variables, and data exploration.
A)Data sampling
B)Data partitioning
C)Data preparation
D)Model assessment

Question

Quizplus · Accepted Answer

Data preparation is the step in data-mining that involves addressing missing and erroneous data, reducing the number of variables, defining new variables, and data exploration. Data sampling refers to the process of selecting a subset of data for training or testing. Data partitioning involves dividing the data set into subsets for model training and testing. Model assessment refers to evaluating the performance of the models. While all of these steps are important in the data-mining process, data preparation is the specific step that addresses missing and erroneous data, among other tasks.

_____________Is the Step in Data-Mining Which Includes Addressing Missing and Erroneous