Fig. 3From: Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networksActual and predicted values by regression validation with R2. yl:Palrnitoleic acid C16:1; y2: cis-11 eic-osane acid C20:1; y3: unsaturated fatty acid; y4: oleic acid C18:1; y5: linoleic acid C18:2; y6: linolenic acid C18: 3; y7: kernel oil content y8: fruit height; y9: fruit diameter; y10: fresh fruit weight; y11: pericarp thickness; y12: fresh seed weightBack to article page