Predicting a better Chip
Data from 478 samples, including climate, soil, and metabolic profiles, were collected in order to better predict high quality potatoes. The data were uploaded and run on the JADBio platform to create a model capable of differentiating potatoes that resist bruising and produce quality chips (high quality) from those that don’t (low quality). Read more: Discovering Plant Metabolic Biomarkers
JADBio analyzed the data in only 30 seconds and produced an executable model with numerous performance metrics, including an AUC of 80%. Eight out of the original 200+ features that were measured per sample were collectively identified as significant in predicting potato quality. These eight predictors were assembled into six equivalent biosignatures.
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