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Table 4 Results obtained for two metrics applied R2 and RMSE, for the three regressors considered

From: A machine learning-based model for a dose point kernel calculation

 

Training

Testing

 

\(R^2\)

RMSE

\(R^2\)

RMSE

Ridge

0.850(0.143)

0.0313(0.0144)

0.753(0.180)

0.0385(0.0161)

Lasso

0.839(0.149)

0.0326(0.0146)

0.766(0.184)

0.0367(0.0149)

ElasticNet

0.838(0.149)

0.0329(0.0149)

0.765(0.182)

0.0369(0.0148)

  1. Values in parentheses state for uncertainties corresponding to 1 standard deviation