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Calibration was evaluated using calibration plots and the Hosmer Lemeshow test.
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Calibration ascertains the concordance between the model's predictions and observed outcomes, which we evaluated using a calibration plot.
This test was evaluated using the calibration curve.
The sugar concentrations were evaluated using a calibration curve generated from HPLC-grade sugars.
The working range was evaluated using the same calibration levels in matrix-matched samples.
Recovery, intra-day and inter-day repeatability of FI/MS/ANN quantitation strategy were evaluated using matrix-matched standard calibration curves.
Therefore, natural samples were evaluated using an extracted mussel calibration curve for better correlation in recovery and matrix effects.
Model calibration was evaluated using the Hosmer-Lemeshow Χ goodness of fit test and using the calibration plot (Additional file 1: Figure S3) [ 23].
The model was calibrated using a stage-wise calibration and evaluated using an independent validation.
Model calibration was evaluated using the Hosmer-Lemeshow goodness-of-fit test [ 15].
The PLS models were rigorously evaluated using three different randomly generated calibration and validation sets for each spectral processing approach.
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