Machine learning models for net photosynthetic rate prediction using poplar leaf phenotype data
Fig 10
Prediction results of GAM model.
(A) GAM testing plot with Min-Max Accuracy 0.82, RMSE 3.96 and SD 3.97, (B) GAM training plot with-Min Max Accuracy 0.87, RMSE 2.59 and SD 3.97, (C) GAM test residual plot with Min-Max Accuracy 0.82, RMSE 3.96 and SD 3.97 (R package ggplot2).