Unlike the Apriori algorithm which suffers from superior computational Value resulting from candidate generation and various database scans. FP-Growth avoids these inefficiencies by compressiVia iterative optimisation of the objective function, supervised learning algorithms discover a function which might be used to predict the output related to n