Prediction Explanation: Seabrook 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) |
546.0 |
-31.81 days
|
| Containment Type |
PWR-DRYAMB |
-6.52 days
|
| Reactor Type (NSSS) |
WEST 4LP |
-6.06 days
|
| Forced Outage Days in Cycle |
0.0 |
+1.75 days
|
| Fleet Outages This Year |
3.0 |
-1.28 days
|
| Age at Outage (years) |
37.1 |
+1.16 days
|
| Outage Number (experience) |
20.0 |
-1.14 days
|
| Units at Site |
1.0 |
+0.97 days
|
| Fleet Density |
1.0 |
-0.94 days
|
| Avg Outages Between Major Maint. |
25.5 |
+0.93 days
|
Start Date — Global Importance
Duration — Global Importance
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