Prediction Explanation: Harris 1
Feature importance and per-unit prediction explanations for the model.
Per-Unit Prediction Explanation
Why was this prediction made? Each bar shows how a feature pushed the prediction higher or lower compared to the fleet average.
| Feature | Value | Impact (days) |
|---|
| Cycle Length (days) |
542.0 |
-31.09 days
|
| Containment Type |
PWR-DRYAMB |
-4.73 days
|
| Reactor Type (NSSS) |
WEST 3LP |
-4.55 days
|
| Fleet Outages This Year |
2.0 |
-1.81 days
|
| Units at Site |
1.0 |
+1.42 days
|
| Forced Outage Days in Cycle |
1.0 |
-1.32 days
|
| Fleet Density |
1.0 |
-1.17 days
|
| Outage Number (experience) |
20.0 |
-1.11 days
|
| Avg Outages Between Major Maint. |
24.6 |
+1.01 days
|
| Net Capacity (MWe) |
964.0 |
-0.73 days
|
Start Date — Global Importance
Duration — Global Importance
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