Giuseppe Jurman

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

Davide Chicco, Giuseppe Jurman · BMC Genomics · 2020 · 5.8K citations · Full text

Computing, Computer Science, Data Analytics +12

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman · PeerJ Computer Science · 2021 · 4.9K citations · Full text

Computing, Data Science, Machine Learning +12

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Zhiguang Li, Weida Tong, Živana Težak et al. · Nature Biotechnology · 2010 · 915 citations · Full text

Life Sciences, Bioinformatics, Molecular Genetics +7

The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

Davide Chicco, Niklas Tötsch, Giuseppe Jurman · BioData Mining · 2021 · 893 citations · Full text

Life Sciences, Bioinformatics, Data Mining +12

Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

Davide Chicco, Giuseppe Jurman · BMC Medical Informatics and Decision Making · 2020 · 586 citations · Full text

Computing, Biostatistics, Cardiology +17