Figure 3
From: Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration
Left- and right-side-only datasets yield different rankings of feature importance score, while still sharing the majority features in the 4mon J20 mice. Bilateral and unilateral Feature Importance (FI) scores (%) calculated by the Random Forest feature importance method using the bilateral (a), right-side-only (b), and left-side-only (c) datasets. The 22 highest-ranked features, which made the largest contribution towards identifying genotype and age are shown. (d) A summary diagram of the 22 highest-ranked features of the left-side-only, right-side-only, and bilateral datasets indicating their common and unique features. Please see the feature definition equations for abbreviations used for each feature (Table 1). Panels generated through Python 3.7, MATLAB 9.2, and Adobe Illustrator (2019).
