aThe number in the brackets represents the number of records. The data collection and pre-processing process can be found in S1 Methods. 1978 records from 10 different domains have been extracted as t

NIAID Data Ecosystem20

Upper panel, frequency distributions of classification patterns identified by the SVM composite model (m1, m2, m3, m4) for the synthetic training dataset consisting of 4 subgroups, S1, S2, S3, and S4; Lower panel, performance of the SVM composite prediction model for the test dataset of 1,000 simulated samples.

SVM支持向量机

多子组分类性能

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Performance comparison of the selected features with the SVM Classifier utilizing SMOTE method.

不平衡分类

SVM支持向量机

Best performance for a C value among the kernel is presented. Highest performances are highlighted, along with the feature set and kernel that achieved it. Evaluation Metrics: Accuracy (ACC), Sensitiv

Figshare2025-11-13 更新20

Optimal parameter selection of SVM based on GS method.

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相关数据集