Flight delay prediction: Evaluating machine learning algorithms for enhanced accuracy.

PLoS One · 2025 · PMC12685205 · PMID 41359618

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highly significantno p-value reported

The resulting statistics were: Paired t-test between RandomForest and KNN (test set accuracy): t = 30.9884, p < 0.001 The extremely low p-value indicates a highly significant difference in predictive performance, with Random Forest correctly classifying a substantially larger proportion of flights compared to KNN. 5.2.2.

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