Question

Which of the following is NOT a parameter to consider while preparing Data for Machine Learning?

Acquisition
Missing Data
Outliers
Structural Discrepancy

Answer 1

Missing data is not consider while preparing Data for Machine Learning.

Explanation:

• The purpose of machine learning methods is to facilitate and to aid the automatic construction and generation of knowledge.
• Machine learning is also used to increase the performance of the system in time.
• A machine learning method is based on action planner, plan executive, and action monitor.
• It monitors the real world data and the data to achieve the end goal.