Standout Papers

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classificat... 2020 2026 2022 20243.0k
  1. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation (2020)
    Davide Chicco, Giuseppe Jurman BMC Genomics
  2. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation (2021)
    Davide Chicco, Matthijs J. Warrens et al. PeerJ Computer Science
  3. The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation (2021)
    Davide Chicco, Niklas Tötsch et al. BioData Mining
  4. Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone (2020)
    Davide Chicco, Giuseppe Jurman BMC Medical Informatics and Decision Making
  5. The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment (2021)
    Davide Chicco, Matthijs J. Warrens et al. IEEE Access
  6. The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification (2023)
    Davide Chicco, Giuseppe Jurman BioData Mining

Immediate Impact

1 by Nobel laureates 28 from Science/Nature 65 standout
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2 intermediate papers

Works of Giuseppe Jurman being referenced

The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
2021 Standout
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout

Author Peers

Author Last Decade Papers Cites
Giuseppe Jurman 1628 1854 520 584 89 8.6k
Davide Chicco 1195 2048 552 585 63 8.1k
Naomi Altman 2716 1873 722 506 152 13.5k
Pierre Geurts 4385 1953 696 418 100 11.9k
Anne‐Laure Boulesteix 2483 1591 322 428 144 11.2k
Su‐In Lee 1649 1697 200 658 57 7.5k
Tie‐Yan Liu 978 3218 1020 321 154 9.0k
M. Stone 712 1976 439 212 84 11.0k
Frank J. Massey 1493 914 359 352 51 14.3k
Wei Chen 2307 2049 532 287 288 12.5k
Dean W. Wichern 740 1328 425 186 45 12.5k

All Works

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2026