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What is Comparison of Airline Classification Algorithms about?

The document compares the performance of five classification algorithms (J48, Decision Stump, Random Tree, Random Forest, Naive Bayes) on an airline dataset containing 250 records. Random Forest achieved the best accuracy when evaluated based on performance measures like precision, recall, accuracy, false positive rate, and F-measure. The airline dataset included attributes like flight timing, cities, days of the week, and delay timing. Random Forest, an ensemble algorithm, constructed a combination of deci

Author

Editor IJRITCC

Language

EN