Prediction Explanation: Oconee 3
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 |
-66.46 days
|
| Reactor Type (NSSS) |
B&W LLP |
+23.89 days
|
| Licensed Capacity (MWt) |
2610.0 |
-6.54 days
|
| Containment Type |
PWR-DRYAMB |
-6.11 days
|
| Age at Outage (years) |
51.4 |
+3.79 days
|
| State |
SC |
+3.46 days
|
| Log Outage Number |
2.5 |
+3.18 days
|
| Avg Outages Between Major Maint. |
21.5 |
+2.9 days
|
| Forced Outage Days in Cycle |
0.0 |
+2.56 days
|
| Fleet Density |
0.0 |
+2.27 days
|
Start Date — Global Importance
Duration — Global Importance
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