Prediction Explanation: Nine Mile Point 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) |
735.0 |
-71.22 days
|
| Containment Type |
BWR-MARK 1 |
+11.71 days
|
| Reactor Type (NSSS) |
GE 2 |
+6.85 days
|
| Age at Outage (years) |
57.3 |
+3.19 days
|
| Avg Outages Between Major Maint. |
27.0 |
+3.16 days
|
| Net Capacity (MWe) |
621.0 |
+2.94 days
|
| Forced Outage Days in Cycle |
0.0 |
+2.66 days
|
| 3-Outage Rolling Avg Duration |
24.3 |
+2.48 days
|
| Fleet Outages This Year |
6.0 |
-2.2 days
|
| Licensed Capacity (MWt) |
1850.0 |
-1.57 days
|
Start Date — Global Importance
Duration — Global Importance
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