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From: Predicting the duration of motorway incidents using machine learning
Coefficients (bi) | Std. error | t-Stat | p-value | |
---|---|---|---|---|
(Intercept) | 3.9266 | 0.04900 | 80.134 | 0 |
× 1: Incident Category | 0.22988 | 0.08386 | 2.7413 | 0.00619 |
× 2: Time Period | 0.46601 | 0.03412 | 13.6580 | 4.86E−40 |
× 3: Closed Lane Count | 0.01313 | 0.06481 | 0.2026 | 0.83951 |
× 4: Rain | 0.62985 | 0.17856 | 3.5274 | 0.00043 |
× 5: Police Attendance | 0.14502 | 0.03434 | 4.2232 | 2.56E−05 |
× 6: Fire Service or Ambulance | 0.23743 | 0.04566 | 5.1999 | 2.28E−07 |
× 7: Location to Junction | − 0.06856 | 0.04360 | − 1.5725 | 0.11605 |
× 8: Distance to Junction Entry/Exit | − 0.08747 | 0.08858 | − 0.9875 | 0.32356 |