Prediction Explanation: Davis-Besse
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) |
728.0 |
-65.43 days
|
| Reactor Type (NSSS) |
B&W LLP |
+24.58 days
|
| Month |
2.0 |
-5.93 days
|
| Containment Type |
PWR-DRYAMB |
-5.04 days
|
| State |
OH |
+3.87 days
|
| Age at Outage (years) |
49.6 |
+3.71 days
|
| Fleet Density |
1.0 |
-3.4 days
|
| Log Outage Number |
2.3 |
+2.81 days
|
| Avg Outages Between Major Maint. |
12.2 |
+2.09 days
|
| Owner |
Vistra Corp. |
+1.67 days
|
Start Date — Global Importance
Duration — Global Importance
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