Get Inspire insights from former attendees in our AMA discussion thread on Inspire Buzz. ACEs and other community members are on call all week to answer!
Weekly Challenges
Solve the challenge, share your solution and summit the ranks of our Community!Also available in | Français | Português | Español | 日本語
IDEAS WANTED
Want to get involved? We're always looking for ideas and content for Weekly Challenges.
SUBMIT YOUR IDEA
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)
