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. 2021 Jul 1;11:13642. doi: 10.1038/s41598-021-93056-4

Figure 2.

Figure 2

Comparison of the performance (accuracy and kappa value) of eight machine learning methods [Linear Discriminant Analysis (LDA), Neural Network (NN), Generalized Linear Model (GLM) with logit link function, Support Vector Machines (SVM), Random Forest (RF), Classification and Regression Trees (CART), k-Nearest Neighbors (kNN) and Naïve Bayes (NB)], run on the testing set, in prediction of udder health status of dairy cows according to somatic cell count below or above 200,000 cells/mL from cow’s and milk data recorded at the previous test-day record.