Performance of the classifiers.

Figshare2022-09-06 更新2026-04-28 收录

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Performance of the classifiers.

创建时间：

2022-09-06

The performance of classifiers.

Objective Breast cancer, a global concern predominantly impacting women, poses a significant threat when not identified early. While survival rates for breast cancer patients are typically favorable,

NIAID Data Ecosystem00

Summary of the performance of classifiers.

CC: Classifier using CRP only in the initial cohort. CE: Classifiers using two or more eCRF variables (incl. CRP) in the initial cohort. CEM: Classifiers using all input eCRF variables (incl. CRP) and

Figshare2022-04-18 更新00

Performance of the trained classifiers.

Figshare2020-12-08 更新10

Summary of the performance of classifiers.

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Performance of SVM classifiers.

Re-substitution test examines self-consistency of the classification method by classifying on the training set. Precision = TP/(TP+FP), Recall = TP/(TP+FN), F-measure = 2×(Precision×Recall)/(Precision

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