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. 2021 May 17;22:252. doi: 10.1186/s12859-021-04163-y

Fig. 1.

Fig. 1

Learning curve plotted on a linear scale in (a) and on a log scale in (b). The vertical axis is the generalization score in terms of the mean absolute error of model predictions. Each data point is the averaged prediction error, computed on a test set, of a gradient boosting decision tree (GBDT) that was trained on a subset of training samples of the GDSC1 dataset