Implement the FIND-S algorithm. Now use this program to study the number of randomtraining examples required to exactly learn the target concept. Implement a training examplegenerator that generates random instances, then classifies them according to the targetconcept: (Sunny, Warm?, ?, ?, ?) Consider training your FIND-Sprogram on randomlygenerated examples and measuring the number of examples required before the program'shypothesis is identical to the target concept. Can you predict the average number of examplesrequired? Run the experiment at least 20 times and report the mean number of examples re-quired. How do you expect this number to vary with the number of "?" in the target concept?How would it vary with the number of attributes used to describe instances and hypotheses?

A key idea in pattern recognition and machine learning, particularly when it comes to concept…

Answered: Implement the FIND-S algorithm. Now use…

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