From: A novel intelligent approach for flight delay prediction
Type | No | Flight features used | Model input and output | Data type | Attribute type | Variables format |
---|---|---|---|---|---|---|
Airport | 1 | Origin | Input | Object | Categorical | 3 digits letters code eg. SEA |
2 | Destination | Input | Object | Categorical | 3 digits letters code eg. JFK | |
Carriers | 3 | Carrier code | Input | Object | Categorical | 2 digits letter code eg. F9 |
Flight date and time | 4 | Tail number | Input | Object | Categorical | 6 digits code eg. N170SY |
5 | Flight number | Input | Object | Categorical | 4 digits number eg. 2434 | |
6 | Schedule departure | Input | Datetime64 | Continuous | 16 digits | |
7 | Schedule arrival | Input | Datetime64 | Continuous | 16 digits | |
Flight delay | 8 | Departure delay minutes | Output | int64 | Continuous | 5 digits number eg. -28 |
9 | Arrival delay minutes | Output | int64 | Continuous | 5 digits number eg. 16 |