fig5

A new simple and efficient molecular descriptor for the fast and accurate prediction of log P

Figure 5. The experimental and predictive log P using the ARD regression model with the best random state. (A) This image showcases the prediction performance on the SAMPL6 dataset. The error range was 0.30; (B) This image showcases the prediction performance on the SAMPL9 dataset. The error range was 1.00. The MAE, RMSE, and R2 are provided. The model was trained on the M-dataset using the coefficient set sL = 0.5 and Ns = 500. ARD: Automatic relevance determination; MAE: mean absolute error; RMSE: root mean square error; R2: coefficients of determination.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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