Prediction Explanation: Browns Ferry 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) |
700.0 |
-53.94 days
|
| Containment Type |
BWR-MARK 1 |
+15.44 days
|
| Reactor Type (NSSS) |
GE 4 |
+8.43 days
|
| Forced Outage Days in Cycle |
18.0 |
-7.28 days
|
| Forced Outage Count in Cycle |
4.0 |
+4.38 days
|
| Fleet Outages This Year |
1.0 |
-4.25 days
|
| Owner |
Tennessee Valley Authority |
+3.62 days
|
| Outage Number (experience) |
9.0 |
+2.74 days
|
| State |
Al |
-2.53 days
|
| Fleet Density |
0.0 |
+1.95 days
|
Start Date — Global Importance
Duration — Global Importance
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