Feature-based classification: model selection and evaluation
In this experiment, Logistic Regression, Random Forest, and XGBoost were evaluated for classification based on well averaged features extracted from worm trajectories. Before training…
High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing
