Prediction Explanation: Browns Ferry 2
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) |
746.0 |
-75 days
|
| Containment Type |
BWR-MARK 1 |
+11.49 days
|
| Days Since Fleet Prev Outage |
N/A |
-7.29 days
|
| Reactor Type (NSSS) |
GE 4 |
+6.63 days
|
| Forced Outage Days in Cycle |
0.0 |
+3.76 days
|
| Owner |
Tennessee Valley Authority |
+3.74 days
|
| State |
Al |
-2.57 days
|
| Age at Outage (years) |
52.0 |
+1.82 days
|
| Fleet Outages This Year |
1.0 |
-1.55 days
|
| Fleet Density |
0.0 |
+1.41 days
|
Start Date — Global Importance
Duration — Global Importance
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