Fig. 6
From: Learning curves for drug response prediction in cancer cell lines
Comparison of learning curves of hGBDT, sNN, and mNN, for each of the four drug response datasets in Table 1. For each combination of a drug response dataset and an ML model, the data points and the corresponding curve are, respectively, the computed \(\tilde{y}\) values and the power law fit. The shaded area represents the variability of the fit which is bounded by the 0.1th quantile, \(q_{0.1}\), and 0.9th quantile, \(q_{0.9}\)