Decision Tree algorithm with example.

Accuracy, precision, recall, and f1 are 4 common metrics in classification evaluation.

Apriori Algorithm (Agrawal & Srikant, 1994) is one of scalable methods for mining frequent patterns.

It is a Candidate Generation and Test Approach

According to the downward closure property of frequent patterns: If there is any itemset which is infrequent, its superset should not be generated/tested (Apriori pruning principle)

Frequent pattern is a pattern (a set of items, subsequences, substructures, etc.) that occurs frequently in a data set. It used for finding inherent regularities in data.