Fig. 4: Results of RMSE value using LOOCV. The RMS values were calculated cumulatively as the number of features increased. | npj Science of Food

Fig. 4: Results of RMSE value using LOOCV. The RMS values were calculated cumulatively as the number of features increased.

From: Utilizing drip metabolites and predictive modeling for non-destructive freshness assessment in pork loin

Fig. 4: Results of RMSE value using LOOCV. The RMS values were calculated cumulatively as the number of features increased.

RMSE root mean square error, LOOCV leave-one-out cross-validation. Model 1: Ridge regression using metabolites selected by LASSO regression. Model 2: Support vector regression (SVR) using metabolites selected by LASSO regression. Model 3: Ridge regression using metabolites selected by Random Forest. Model 4: SVR using metabolites selected by Random Forest.

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