Prediction Explanation: Dresden 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 |
-62.77 days
|
| Containment Type |
BWR-MARK 1 |
+10.94 days
|
| Reactor Type (NSSS) |
GE 3 |
+5.56 days
|
| 3-Outage Rolling Avg Duration |
15.3 |
+3.24 days
|
| Age at Outage (years) |
54.9 |
+2.25 days
|
| Fleet Density |
0.0 |
+2.05 days
|
| Forced Outage Days in Cycle |
4.0 |
-1.45 days
|
| Fleet Outages This Year |
6.0 |
-1.03 days
|
| Day of Week |
1.0 |
-0.88 days
|
| Owner |
Constellation Energy |
-0.76 days
|
Start Date — Global Importance
Duration — Global Importance
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