Evaluating and Improving Models
Make the inspection queue measurable
BOTIE
Examples, experiments and workspace controls
Connect a tool's inputs to see what it produces. You can try a branch before connecting it to Result.
Try your own inputs
Use a copy of the example to try your own data. Keep the problem's assumptions in mind, and predict the effect of a change before checking the output. You can also add another branch to compare two ways of doing the calculation.
Context for this challenge
Return the inclusive threshold mask before looking at the actual labels.
The detector needs to find faults without making every healthy pump an inspection.
Inspect the component calculation
Accept scores at the threshold( Scores in [0, 1]: Fault scores Threshold: Alert threshold )
Examples and results
- Fault scores
- 00.95
- 10.8
- 20.7
- 30.1
- Alert threshold
0.9
- Required result
- 01
- 10
- 20
- 30
- Fault scores
- 00.2
- 10.1
- Alert threshold
0.8
- Required result
- 00
- 10
Try a fresh construction
This clears this draft, including its undo history. Earlier successful attempts stay recorded. Build again without opening hints to record an independent attempt.
Stuck? Inspect a worked construction
The tools below form one possible solution. You can assemble it, follow its signals, and undo that change to return to your own construction.
Assumptions and test precision
The fixtures illustrate threshold arithmetic. Deployment rates need representative observations and reliable labels. Numerical tests allow a difference of 0.001. Lists and structures must also have the right shape.
Your last tested pieces can start the full construction. An existing draft there keeps its own pieces.
Alerts arrive on a shift with no confirmed faults
This check uses the pieces from “Follow a score into the inspection queue”.
BOTIE
- Fault scores
- 00.8
- 10.8
- 20.2
- Confirmed fault labels
- 00
- 10
- 20
- Alert threshold
0.8
Use a number, text, or an array matching the requested result. For a matrix, put each row in brackets. Saving your prediction runs your current construction on these inputs and checks the earlier examples too.
Build a construction in the workspace above first. This case will test those pieces.
What additional measurement would tell you whether the team can use this threshold?
Keep alerts per shift and capacity beside precision and recall.
The fixtures illustrate threshold arithmetic. Deployment rates need representative observations and reliable labels.
Work through the Python challenges →