4

 

import pandas as pd

def find_s_algorithm(file_path):

data = pd.read_csv(file_path)

print("Training data:")

print(data)

attributes = data.columns[:-1]

class_label = data.columns[-1]

for index, row in data.iterrows():

if row[class_label] == 'Yes':

hypothesis = list(row[attributes])

break

for index, row in data.iterrows():

if row[class_label] == 'Yes':

for i, value in enumerate(row[attributes]):

if hypothesis[i] != value:

hypothesis[i] = '?'

return hypothesis

file_path = 'training_data.csv'

hypothesis = find_s_algorithm(file_path)

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

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