Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
[PDF][PDF] Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - 2006 - researchgate.net
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
[PDF][PDF] Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - 2006 - academia.edu
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
[PDF][PDF] Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - 2006 - retour.iro.umontreal.ca
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
[引用][C] Beyond accuracy, F-score and ROC: A family of discriminant measures for performance evaluation
M SOKOLOVA, N JAPKOWICZ… - Lecture notes in …, 2006 - pascal-francis.inist.fr
Beyond accuracy, F-score and ROC : A family of discriminant measures for performance
evaluation CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases …
evaluation CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases …
[PDF][PDF] Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - 2006 - rali.iro.umontreal.ca
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
[PDF][PDF] Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - 2006 - Citeseer
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - AI 2006: Advances in Artificial … - infona.pl
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - AI 2006: Advances in Artificial … - Springer
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
[PDF][PDF] Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation
M Sokolova, N Japkowicz, S Szpakowicz - 2006 - atour.iro.umontreal.ca
Different evaluation measures assess different characteristics of machine learning
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …
algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going …