Classification Rules Classification rules help assign new objects to classes. E.g.,given a new automobile insurance applicant,should he or she be classified as low risk,medium risk or high risk? Classification rules for above example could use a variety of data,such as educational level,salary,age,etc. V person P,P.degree masters and P.income 75,000 →P.credit=excellent V person P,P.degree bachelors and (P.income≥25,000andP.income≤75,000) →P.credit=good Rules are not necessarily exact:there may be some misclassifications Classification rules can be shown compactly as a decision tree. Database System Concepts-6th Edition 20.13 ©Silberschat乜，Korth and SudarshanDatabase System Concepts - 6 20.13 ©Silberschatz, Korth and Sudarshan th Edition Classification Rules Classification rules help assign new objects to classes. E.g., given a new automobile insurance applicant, should he or she be classified as low risk, medium risk or high risk? Classification rules for above example could use a variety of data, such as educational level, salary, age, etc.  person P, P.degree = masters and P.income > 75,000  P.credit = excellent  person P, P.degree = bachelors and (P.income  25,000 and P.income  75,000)  P.credit = good Rules are not necessarily exact: there may be some misclassifications Classification rules can be shown compactly as a decision tree