In contrast to the Apriori algorithm which suffers from higher computational Expense on account of candidate generation and multiple database scans. FP-Growth avoids these inefficiencies by compressiBy iterative optimisation of the goal function, supervised learning algorithms master a function that can be utilized to forecast the output associated