Score variance explained by univariate regressions for the top five algorithms in each subchallenge. The heatmap shows the R 2 values for univariate regressions for features ( x axis) on subchallenge score ( y axis) when considering only the top five algorithms. The right and upper panels show the marginal R 2 distributions generated when running the univariate models separately on each algorithm, grouped by subchallenge (right) and feature (upper). Lines show the median R 2 for each feature across the marginal models for each subchallenge.
