used to evaluate the classification models, while F was defined by the equation 10, 11, 39 and can be interpreted as a weighted harmonic average of precision and recall values 39.The precision is defined as the number of true positives divided by the number of true positives plus the number of false positives and the recall is defined as the number of true positives divided by the number of true positives plus the number of false negatives. Due to an absence of prior information about either precision or recall, the beta value was set to 1. More description of models’ calculation and comparison can be found in Supplementary Materials.
