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Fig. 3 | Journal of Cheminformatics

Fig. 3

From: The effect of noise on the predictive limit of QSAR models

Fig. 3

Plots showing RMSE versus the amount of random error added for the g298_atom and Tox134 datasets, for the Ridge regression, k-Nearest Neighbors (KNN), Support Vector Regression (SVR), and Random Forest (RF) algorithms. For each plot, the y-axis is RMSE, and the x-axis is the standard deviation (σ) of the Gaussian distribution of the added error. The blue lines show data evaluated on test sets with error, and orange lines show data evaluated on test sets without error

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