1. Concept Learning Consider the hypothesis space defined over these instances, in which each hypothesis is represented by a pair of 6-tuples, and where each attribute constraint may be a specific value, "?", or "". Please provide a hand trace of the Candidate-Elimination algorithm learning from the example in Table land hypothesis language. Show the specific and general boundaries of the version space after it has processed the first training example, then second example, etc. 1 avie 1. Irosurve and Negatue training examples for the target concept Pay Tennis. Consider the hypothesis space defined over these instances, in which each hypothesis is represented by a pair of 4-tuples, and where each attribute constraint may be a specific value, "?", or "". Please provide a hand trace of the Find-S algorithm learning from the example in Table 2 and hypothesis language