Study of Delay Prediction in the US Airport Network

In modern business, Artificial Intelligence (AI) and Machine Learning (ML) have affected strategy decision-making positively in the form of predictive modeling. This study aims to use ML AI predict arrival flight delays United States airport network. Flight carry severe social, environmental, economic impacts. Deploying models during process operational can help reduce impact these delays. A literature review critical appraisal were carried out on previous studies research relating delay prediction. review, datasets used, selected features, algorithms, evaluation tools used analyzed influenced decisions made methodology for this study. Data comes from two public sets domestic weather data 2017. are processed split into training, validation, testing data. Subsequently, evaluated compared based performance metrics obtained using The model with best (in choosing between logistic regression, random forest, gradient boosting machine, feed-forward neural networks) is machine.