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My detailed answers seem to be the same, but slight differences on the regression. Does the oversampling perhaps give different results each time it is run?
Spoiler
Process:
- Select unique records (unique reference numbers)
- Calculate average of Number of Vehicles
(Result: 1.817008)
- Calculate sum of accidents for each time bucket (group by time bucket)
(Result: Evening: 4,663)
- Filter on Casualty Class = "Pedestrian"
- Count Distinct Reference Number
(Result: 2,562)
- Create field WasFatal as boolean
- Oversample tool on field WasFatal = Yes at 50% level
- Logistic Regression tool on all the fields noted
(- Casualty Class with lowest P Value: Pedestrian: 0.00011
- Coefficient estimate: 1.86759
- Gender: Male)
- Select unique records (unique reference numbers)
- Calculate average of Number of Vehicles
(Result: 1.817008)
- Calculate sum of accidents for each time bucket (group by time bucket)
(Result: Evening: 4,663)
- Filter on Casualty Class = "Pedestrian"
- Count Distinct Reference Number
(Result: 2,562)
- Create field WasFatal as boolean
- Oversample tool on field WasFatal = Yes at 50% level
- Logistic Regression tool on all the fields noted
(- Casualty Class with lowest P Value: Pedestrian: 0.00011
- Coefficient estimate: 1.86759
- Gender: Male)
