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 "0" Please provide a hand trace of the Candidate-Elimination algorithm learning from the example in Table land hypothesis language Example Sky Temperature Wind Humidity Day Forecast Play Sunny Hot Sunny Mild Rainy Mild Rainy Hot Weak High Weekday SameYes Weak Strong High Weekend ChangeNo Weak Strong High High Weekday SameYes Weekend Change No Weekday Same Yes Low 5 Sunny Mild Table 1: Positive and Negative training examples for the target concept PlayTennis