The statistical metrics used to characterize the external predictivity of a model, i.e., how well it predicts the properties of an independent test set, have proliferated over the past decade. This paper clarifies some apparent confusion over the use of the coefficient of determination, R2, as a measure of model fit and predictive power in QSAR and QSPR modelling
Shortcomings of the correlation coefficient (Pearson's) as a measure for estimating and calculating ...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
The statistical metrics used to characterize the external predictivity of a model, i.e., how well it...
The statistical metrics used to characterize the external predictivity of a model, i.e., how well it...
Validation is a crucial aspect of quantitative structure–activity relationship (QSAR) modeling. The ...
The prediction of solubility of drugs usually calls on the use of several open-source/commercially-a...
The prediction of solubility of drugs usually calls on the use of several open-source/commercially-a...
Shortcomings of the correlation coefficient (Pearson\u27s) as a measure for estimating and calculati...
Shortcomings of the correlation coefficient (Pearson\u27s) as a measure for estimating and calculati...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Shortcomings of the correlation coefficient (Pearson's) as a measure for estimating and calculating ...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
The statistical metrics used to characterize the external predictivity of a model, i.e., how well it...
The statistical metrics used to characterize the external predictivity of a model, i.e., how well it...
Validation is a crucial aspect of quantitative structure–activity relationship (QSAR) modeling. The ...
The prediction of solubility of drugs usually calls on the use of several open-source/commercially-a...
The prediction of solubility of drugs usually calls on the use of several open-source/commercially-a...
Shortcomings of the correlation coefficient (Pearson\u27s) as a measure for estimating and calculati...
Shortcomings of the correlation coefficient (Pearson\u27s) as a measure for estimating and calculati...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Shortcomings of the correlation coefficient (Pearson's) as a measure for estimating and calculating ...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...
Quantitative structure–property relationship (QSPR) models used for prediction of property of untest...