File Description:

• apriori.py : Python implementation of the apriori algorithm. This code reads a transactional database file specified by the user and based on user's specified support and confidence values, frequent itemsets and association rules are generated.
• DataSetx.txt : (x: 1,2,3,4,5) Five different dataset files containing transactions.
• tree.py: Python implementation of decision basic tree algorithm, this code base on body measures predicts gender, output tree.pdf with graph image
• titanic.py: Python implementation of decision tree algorithm. this code reads train.csv and test.csv and output res1.csv with predictions and titanic.pdf with a graph image Usage:
• Modify line #14 of apriori.py and specify the name of dataset file to use.
• Run the program from the command line: python apriori.py
• When prompted, provide support and confidence values in percentage
• Frequent itemsets and association rules are generated