Discussion Board

Classification Classification consists of examining the properties of a newly presented observation and assigning it to a predefined class, such as assigning customers to predefined customer segments (good vs. bad) or classifying credit applicants as low, medium, or high risk. Classification means that based on the properties of existing data, we have to make a classification. The concept can be well understood by a very simple example of student grouping. A student can be grouped either as good or bad depending on his previous record. Similarly an employee can be grouped as excellent, good, fair, etc. based on his track record in the organization. The classification of students or employees is based on the historical data. We can say history is the best predictor of the future. When an organization conducts test and interviews from candidate employees, their performance is compared with those of the existing employees. This knowledge can be used to predict how well you can perform if employed. This is known as absolute or binary classification i.e. either good or bad. Thus each entity is assigned to one of the groups or classes. Prajakta Pandit 03-21-2017 01:46 AM

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