Fig. 2
From: A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface
Illustration of the various ML methods used in the study. (a) K-nearest neighbour (KNN). (b) support vector machine (SVM). (c) ridge regression (RR). (d) Random Forest (RF) (e) Gradient boosting machine (GBM) and extreme gradient boosting (XGBoost). (f) Multilayer perceptron (MLP)