Figure 3:

Machine learning approach used. Three different datasets were used as input to the models, namely the UV-visible, CIELAB and fusion datasets. The response variables used for prediction were the total carotenoid content (TCC) determined by spectrophotometry (Lambert-Beer law) and the TCC and trans-β-carotene content determined by HPLC.