Statistical Comparisons of Classifiers over Multiple Data Sets

Citation edge evidence

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• A systematic analysis of performance measures for classification tasks→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…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• A practical tutorial on the use of nonparametric statistical tests as a methodology for c…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• A survey on concept drift adaptation→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Equilibrium optimizer: A novel optimization algorithm→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Classifier chains for multi-label classification→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Advanced nonparametric tests for multiple comparisons in the design of experiments in com…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation→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…→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Investigating the impact of data normalization on classification performance→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Automated Machine Learning→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• An extensive comparative study of cluster validity indices→Statistical Comparisons of Classifiers over Multiple Data SetsLegacy edge — source detail unavailable
• Statistical Comparisons of Classifiers over Multiple Data Sets→UCI Repository of machine learning databasesLegacy 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
• Statistical Comparisons of Classifiers over Multiple Data Sets→Multiple Hypothesis TestingLegacy 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
• An extensive comparative study of cluster validity indices→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy edge — source detail unavailable
• A practical tutorial on the use of nonparametric statistical tests as a methodology for c…→Advanced nonparametric tests for multiple comparisons in the design of experiments in com…Legacy edge — source detail unavailable
• A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…→Advanced nonparametric tests for multiple comparisons in the design of experiments in com…Legacy edge — source detail unavailable
• Advanced nonparametric tests for multiple comparisons in the design of experiments in com…→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy 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
• A systematic analysis of performance measures for classification tasks→Approximate Statistical Tests for Comparing Supervised Classification Learning AlgorithmsLegacy 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…→A systematic analysis of performance measures for classification tasksLegacy edge — source detail unavailable
• Automated Machine Learning→On Over-fitting in Model Selection and Subsequent Selection Bias in Performance EvaluationLegacy edge — source detail unavailable