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Fig. 2 | Journal of Cheminformatics

Fig. 2

From: Dimensionally reduced machine learning model for predicting single component octanol–water partition coefficients

Fig. 2

Parity density plots for experimentally determined and predicted values of the validation data (N = 3,076) for each of the six base regression models. The linear models, except for Lasso, appear to have a similar performance while the Random Forest shows a better visual fit and higher density of points along parity line. a Linear, b Ridge, c Lasso, d Random Forest, e Gradient Boosted, f k-Nearest Neighbors

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