A systematic analysis of performance measures for classification tasks
Marina Sokolova, Guy Lapalme low
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- The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i…→A systematic analysis of performance measures for classification tasksLegacy edge — source detail unavailable
- Classification assessment methods→A systematic analysis of performance measures for classification tasksLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Machine learning in automated text categorizationLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Thumbs up?Legacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Thumbs up? Sentiment Classification using Machine Learning TechniquesLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…Legacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
- A systematic analysis of performance measures for classification tasks→Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…Legacy edge — source detail unavailable
- Statistical Comparisons of Classifiers over Multiple Data Sets→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…→Thumbs up?Legacy edge — source detail unavailable
- Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
- Machine learning in automated text categorization→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
- Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…→Thumbs up?Legacy edge — source detail unavailable
- Classification assessment methods→Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…Legacy edge — source detail unavailable
- The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
- The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i…→Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…Legacy edge — source detail unavailable
- The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i…→Classification assessment methodsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i… | 2020 | 6,132 |
| Classification assessment methods | 2018 | 2,377 |
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| Text and Document Classification Technologies | Computer Science |
| Spam and Phishing Detection | Computer Science |
| Advanced Text Analysis Techniques | Computer Science |
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