Prediction Explanation: Peach Bottom 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 |
-63.38 days
|
| Containment Type |
BWR-MARK 1 |
+11 days
|
| Reactor Type (NSSS) |
GE 4 |
+6.37 days
|
| 3-Outage Rolling Avg Duration |
14.7 |
+3.29 days
|
| Forced Outage Days in Cycle |
0.0 |
+2.45 days
|
| Fleet Density |
0.0 |
+1.74 days
|
| Age at Outage (years) |
52.8 |
+1.7 days
|
| State |
PA |
+1.34 days
|
| Day of Week |
1.0 |
-1.32 days
|
| Outage Number (experience) |
14.0 |
-0.95 days
|
Start Date — Global Importance
Duration — Global Importance
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