def find_s_algorithm ( data , target ): # Step 1: Initialize the most specific hypothesis hypothesis = [ "Φ" ] * len (data[ 0 ]) # Step 2: Iterate over the dataset for i, instance in enumerate (data): if target[i] == "Yes" : # Process only positive examples for j in range ( len (instance)): if hypothesis[j] == "Φ" : # Initialize to the first positive example hypothesis[j] = instance[j] elif hypothesis[j] != instance[j]: # Generalize if there's a mismatch hypothesis[j] = "?" return hypothesis # Example Dataset attributes = [ [ "Sunny" , "Warm" , ...