Prediction Explanation: Cooper
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 |
-66.57 days
|
| Containment Type |
BWR-MARK 1 |
+9.89 days
|
| Previous Outage Duration |
42.0 |
+6.49 days
|
| Reactor Type (NSSS) |
GE 4 |
+5.66 days
|
| Fleet Outages This Year |
N/A |
-3.84 days
|
| Age at Outage (years) |
52.2 |
+3.75 days
|
| 3-Outage Rolling Avg Duration |
26.0 |
+2.48 days
|
| Fleet Density |
0.0 |
+2.24 days
|
| Avg Outages Between Major Maint. |
26.1 |
+2.11 days
|
| Net Capacity (MWe) |
770.0 |
+2.03 days
|
Start Date — Global Importance
Duration — Global Importance
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