lab4

 import pandas as pd

def find_s_algorithm(file_path):

    data = pd.read_csv(file_path)

    print("\nTraining Data:\n", data)


    attributes = data.columns[:-1]

    label = data.columns[-1]


    hypothesis = None

    for index, row in data.iterrows():

        if row[label].strip().lower() == 'yes':

            hypothesis = list(row[attributes])

            break


    for index, row in data.iterrows():

        if row[label].strip().lower() == 'yes':

            for i in range(len(attributes)):

                if hypothesis[i] != row[attributes[i]]:

                    hypothesis[i] = '?'


    return hypothesis


file = "C:\\Users\\deepa\\OneDrive\\Desktop\\Book1.csv"


hypothesis = find_s_algorithm(file)

print("\nThe final hypothesis is:", hypothesis)


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