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.The alternative text for this image may have been generated using AI.

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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