Prediction Explanation: Ginna
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) |
553.0 |
-36.65 days
|
| Containment Type |
PWR-DRYAMB |
-7.93 days
|
| Net Capacity (MWe) |
581.0 |
-3.02 days
|
| Reactor Type (NSSS) |
WEST 2LP |
-2.93 days
|
| Previous Outage Duration |
15.0 |
-2.22 days
|
| Fleet Density |
0.0 |
+2.15 days
|
| Licensed Capacity (MWt) |
1775.0 |
-2.06 days
|
| 3-Outage Rolling Avg Duration |
13.0 |
+1.93 days
|
| Fleet Outages This Year |
6.0 |
-1.75 days
|
| Units at Site |
1.0 |
+1.72 days
|
Start Date — Global Importance
Duration — Global Importance
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