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PLS results of the complete dataset.
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Figshare
2020-01-24 更新
2026-04-28 收录
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https://figshare.com/articles/dataset/PLS_results_of_the_complete_dataset_/11712822
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资源简介:
PLS results of the complete dataset.
应用场景:
创建时间:
2020-01-24
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The results of complete shading experiment on the Faces dataset.
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Results of the computational predictions of patient diagnosis on the complete dataset.
Matthews correlation coefficient (MCC): Eq 3. Accuracy: Eq 1. F1 score: Eq 4. Sensitivity (true positive rate): Eq 5. Specificity (true negative rate): Eq 6. The scores are the medians of the results’
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Complete dataset.
Included in the supporting information is an excel file with the complete dataset used for analysis. (XLSX)
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The results of complete shading experiment on the Faces dataset.
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Results of the computational predictions of patient diagnosis on the complete dataset.
Matthews correlation coefficient (MCC): Eq 3. Accuracy: Eq 1. F1 score: Eq 4. Sensitivity (true positive rate): Eq 5. Specificity (true negative rate): Eq 6. The scores are the medians of the results’
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