Comments on the Definition of the Q2 Parameter for QSAR Validation

被引:504
作者
Consonni, Viviana [1 ]
Ballabio, Davide [1 ]
Todeschini, Roberto [1 ]
机构
[1] Univ Milano Bicocca, Milano Chemometr & QSAR Res Grp, Dept Environm Sci, I-20126 Milan, Italy
关键词
EXTERNAL VALIDATION; CROSS-VALIDATION; TEST SETS; MODELS; PREDICTION; SELECTION;
D O I
10.1021/ci900115y
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
This paper deals with the problem of evaluating the predictive ability of QSAR models and continues the discussion about proper estimates of the predictive ability from an external evaluation set reported in Schuurmann G., Ebert R.-U., et al. External Validation and Prediction Employing the Predictive Squared Correlation Coefficient - Test Set Activity Mean vs Training Set Activity Mean. J. Chem. Inf. Model. 2008, 48, 2140-2145. The two formulas for calculating the predictive squared correlation coefficient Q(2) previously discussed by Schuurmann et al. ire one that adopted by the current OECD guidelines about QSAR validation and based on SS (sum of squares) of the external test set referring to the training set response mean and the other based on SS of the external test set referring to the test set response mean. In addition to these two formulas, another formula is evaluated here, based on SS referring to mean deviations of observed values from the training set mean over the training set instead of the external evaluation set.
引用
收藏
页码:1669 / 1678
页数:10
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