Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm
Fig 5
Performance of classifiers change when some rules or features are removed.
Precision (A, D, G), false-positive rates (B, E, H), and recall (C, F, I) of classifiers for wing extensions (A-C), lunges (D-F), and headbutts (G-I) are plotted according to the features not available for training on JAABA (shown below A, D, G). False-positive rates are shown separately for the evaluating movie types indicated on the right. Precision and recall for classifiers trained with all features (shown in gray) are replotted from Fig 3.