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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: J Comput Aided Mol Des. 2020 Feb 27;34(4):335–370. doi: 10.1007/s10822-020-00295-0

Figure 3. Overall accuracy assessment for all methods participating in the SAMPL6 log P Challenge.

Figure 3.

Both root-mean squared error (RMSE) and mean absolute error (MAE) are shown, with error bars denoting 95% confidence intervals obtained by bootstrapping over challenge molecules. Submission IDs are summarized in Table 3. Submission IDs of the form REF## refer to non-blinded reference methods computed after the blind challenge submission deadline, and NULL0 is the null prediction method; all others refer to blind, prospective predictions.