Error checking routines and marginal reports are two ways of machine cleaning the data.

Question

Quizplus · Accepted Answer

Error checking routines and marginal reports are two common methods used to clean data in machine learning. Error checking routines involve identifying and correcting errors or inconsistencies in the data, while marginal reports involve analyzing the frequency and distribution of data values to identify anomalies or outliers. Both methods help ensure that the data used for machine learning is accurate and reliable.

Error Checking Routines and Marginal Reports Are Two Ways of Machine