Prediction Explanation: Browns Ferry 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) |
735.0 |
-69.75 days
|
| Containment Type |
BWR-MARK 1 |
+10.99 days
|
| Reactor Type (NSSS) |
GE |
+7.93 days
|
| Fleet Density |
0.0 |
+4.24 days
|
| Month |
2.0 |
-3.53 days
|
| Forced Outage Count in Cycle |
3.0 |
+3.18 days
|
| Owner |
Tennessee Valley Authority |
+2.82 days
|
| Age at Outage (years) |
51.0 |
+2.3 days
|
| State |
Al |
-2.21 days
|
| 3-Outage Rolling Avg Duration |
33.7 |
-1.92 days
|
Start Date — Global Importance
Duration — Global Importance
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