1 citations · 1 across the 4 of their papers we have counts for
4 papers
Inference for Hit Enrichment Curves, with Applications to Drug Discovery
Jeremy R. Ash, Jacqueline M. Hughes-Oliver
In virtual screening for drug discovery, hit enrichment curves are widely used to assess the performance of ranking algorithms with regard to their ability to identify early enrich…
Population and Empirical PR Curves for Assessment of Ranking Algorithms
Jacqueline M. Hughes-Oliver
The ROC curve is widely used to assess the quality of prediction/classification/ranking algorithms, and its properties have been extensively studied. The precision-recall (PR) curv…
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
Jeremy R. Ash Jacqueline M. Hughes-Oliver
The goal of chemmodlab is to streamline the fitting and assessment pipeline for many machine learning models in R, making it easy for researchers to compare the utility of new mode…
Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery
Hui Shen, William J. Welch, Jacqueline M. Hughes-Oliver
Cross-validation (CV) is widely used for tuning a model with respect to user-selected parameters and for selecting a "best" model. For example, the method of -nearest neighbors…