Extended Data Fig. 8: Decoder performance of multiclass RF models run using features from each lead within a given region.
From: Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG
Explanation of the trained models is similar as in Extended Data Fig. 7. Accuracy = number of true predicted samples / all samples. F-Score = 2*(precision*recall)/(precision + recall)). In the box plot, central lines represent the median and the two edges represent 25 and 75 percentiles; whiskers show the most extreme datapoints, and outliers are shown individually (see MATLAB boxplot function). *** signifies p < 0.0001, ** signifies p < 0.01 and * signifies p < 0.05.
