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Prediction Explanation: Dresden 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.

FeatureValueImpact (days)
Cycle Length (days) 728.0 -63.34 days
Containment Type BWR-MARK 1 +11.89 days
Reactor Type (NSSS) GE 3 +6.69 days
3-Outage Rolling Avg Duration 16.7 +3.65 days
Forced Outage Days in Cycle 0.0 +2.47 days
Age at Outage (years) 57.4 +1.69 days
Fleet Density 0.0 +1.56 days
Day of Week 1.0 -1.13 days
Fleet Outages This Year 6.0 -0.93 days
Owner Constellation Energy -0.83 days

Start Date — Global Importance

Duration — Global Importance

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