For the prediction of %LC, the RF, SVM, and MLP models are able to predict %LC from the ThioT information alone (albeit poorly) with MAEs of 3.04, 2.78, and 4.131, respectively. However, the R 2 value for both models are quite low at values of 0.254, 0.304, and 0.106. A potential explanation of this performance is that the models predict high %LC values with great accuracy but are not able to capture the overall trend of the data as the %LC values decrease. Inclusion of the storage conditions decreases the MAEs to 0.705, 0.976, and 1.367 for the RF, SVM, and MLP models, and increases the R 2 to 0.963 and 0.931, 0.880 for the three models, respectively. The improvement in model performance indicates that these models are able to properly weigh the storage conditions and physical degradation to predict a non-linear response variable.