Optimal metabolite set for wooden breast classification using support vector machine with stepwise feature selection and relevant performance measures.
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https://figshare.com/articles/dataset/Optimal_metabolite_set_for_wooden_breast_classification_using_support_vector_machine_with_stepwise_feature_selection_and_relevant_performance_measures_/21208724
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Accuracy is calculated as true positives / (true positives + false positives + true negatives + false negatives). Marginal prediction accuracy is the increase in total prediction accuracy achieved by adding the associated metabolite. Precision is calculated as true positives / (true positives + false positives). Recall is calculated as true positives / (true positives + false negatives). F1 score is calculated as 2 × (precision × recall)/ (precision + recall).
创建时间：
2022-09-26
