Flight delay and cancellation are inevitable and they often lead to concern in passengers as well as profit loss of the airlines and airports. An accurate estimation of flight delays and cancellation is critical for airlines because the results can be applied to increase customer satisfaction and income of airline agencies. This paper proposed several machine learning models on a dataset containing flight information from 2018. These models are compared by using receiver operating characteristic curves and learning curves to determine which model best fits the data.
Analysis of Flight Delay and Cancellation Prediction Based on Machine Learning Models
2021-12-01
9771769 byte
Conference paper
Electronic Resource
English
Flight Delay Prediction using Machine Learning Model
IEEE | 2022
|Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning
SAE Technical Papers | 2023
|Machine Learning Approach for Flight Departure Delay Prediction and Analysis
Transportation Research Record | 2020
|