Abstract
This Erratum is to declare that the values reported for R2 in the paper are actually Pearson R values. The wrong column of data in a spreadsheet was used inadvertently. All correlation values in the paper are correct, just mislabeled with the squared superscript. One of the major conclusions noted in the abstract and discussed in the “Strengths and Weaknesses” Section should read: “Inherent experimental error limits the possible correlation between scores and measured affinity; Pearson R is limited to ∼0.91 (Pearson R2 ∼0.83) when fitting to the data set without over parameterizing. Pearson R is limited to ∼0.83 (Pearson R2 ∼0.70) when scoring the data set with a method trained on outside data.” For clarity, the Pearson R and R2 are given in Table Table11 below for all the theoretical cases posed. It corrects the correlation coefficients in Figure 3 and in the discussion of signal over noise in the “Strengths and Weaknesses” section. Table 1 Correlation Metrics when Random Error is Added to the 343 Affinity Data of the CSAR-NRC Data Seta It should be noted that our use of R2 is based on squaring the Pearson value, not based on a calculation of the coefficient of determination (also called R2). The coefficient of determination measures the one-to-one correspondence between two values, requiring a slope of 1 and an intercept at 0 rather than least-squares-fit values.
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