AVIATION

1. Sriya-AI models like Lasso, RNN, MLP, Random Forest and XGBoost were used for regression analysis.
2. Flight departure delay prediction is crucial in aviation industry for efficient operation management.
3. Dataset has 5819079 records with 5 Categorical and 26 Numerical features, a random sample of 200000 records is selected for modelling.
4. Models achieved average accuracy of 88% - 93% for feature sets of 6, 11, 17, and 20.