Write a program for Implement and demonstrate the FIND-S algorithm for finding the most specific hypothesis based on a given set of training data samples. Read the training data from a .CSV file.

Program

import csv
with open('tennis.csv', 'r') as f:
reader = csv.reader(f)
your_list = list(reader)
h = [['0', '0', '0', '0', '0', '0']]
for i in your_list:
print(i)
if i[-1] == "True":
j = 0
for x in i:
if x != "True":
if x != h[0][j] and h[0][j] == '0':
h[0][j] = x
elif x != h[0][j] and h[0][j] != '0':
h[0][j] = '?'
else:
pass
j = j + 1
print("Most specific hypothesis is")
print(h)

Output
'Sunny', 'Warm', 'Normal', 'Strong', 'Warm', 'Same',True
'Sunny', 'Warm', 'High', 'Strong', 'Warm', 'Same',True
'Rainy', 'Cold', 'High', 'Strong', 'Warm', 'Change',False
'Sunny', 'Warm', 'High', 'Strong', 'Cool', 'Change',True

Maximally Specific set
[['Sunny', 'Warm', '?', 'Strong', '?', '?']]