Fig. 3: RMSE varied with the number of features for both models.
From: Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques
25-tuple features selected after the application of RFE based on random forests in Step 1 were removed one-by-one and the minimum averaged RMSE of the test sets in the cross-validations varied with the number of features for SVR (in black line) and KRR (in red line) models.
