1. Concept Learning (10 Points) 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 "O". Please provide a hand trace of the Candidate-Elimination algorithm learning from the example in Table land hypothesis language. In particular, show the specific and general boundaries of the version space after it has processed the first training example, then second example, etc. Example Sky Temperature Wind Humidity Day High High High Low High Forecast Play Sunny Hot SunnyMild unny Mild Rainy Hot Sunny Mild Strong Weak Strong Weak Strong Weekend SameYes WeekdayChange Yes WeekdayChange Yes Weekday SameNo WeekendSame 4 es Table 1: Positive and Negative training examples for the target concept PlayTennis