Models for NRPCC on sc1C and sc2A scores when controlling for algorithm ID. The left column shows the model fit in the training set composed of titration-series tumors (sampled at five depths each) and five additional tumors ( n = 10 individual tumors). The right column shows the fit in the test set ( n = 30 tumors, comprising the remaining SMC-Het tumors after removing the edge cases). Blue dotted lines with a shaded region show the mean and 95% confidence interval based on scoring ten random algorithm outputs on the corresponding tumor set. The top-performing algorithm for each subchallenge is shown in italic text.
