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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Learning curves for drug response prediction in cancer cell lines

Fig. 5

Learning curves generated by using dGBDT for multiple data splits of each of the datasets in Table 1. a The entire set of learning curve scores, \(LC_{raw}\), where each data point is the mean absolute error of predictions computed on test set E as a function of the training set size \(m_k\). A subset of scores in which the sample size is above \(m_{kmin}\) (dashed black line) was considered for curve fitting. b Three curves were generated to represent the fit: \(q_{0.1}\) (blue curve) and \(q_{0.9}\) (green curve) representing the variability of the fit, and \(\tilde{y}\) (black curve) representing the learning curve fit

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