B.tech 5th Sem Machin learning lab practical
Program 1: 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. import random import csv import pandas as pd att= [['Sunny','Rainy'], ['Warm','Cold'], ['Normal','High'], ['Strong','Weak'], ['Warm','Cool'], ['Same','Change']] attribute=len(att) print("attribute length=",attribute) print("\n Most general hypothesis:['?','?','?','?,'?','?']") print("\n Most specific hypothesis:['0','0','0','0','0','0']") a=[] print("\n Given training data set") with open('C:\\Users\pc1\\Desktop\\machine\\ws.csv') as file: reader=csv.reader(file) for r in reader: ...