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Performance metrics of Softmax Averaging of all classifiers.

Figshare2024-10-24 更新2026-04-28 收录

分类器集成评估

模型性能指标

数据链接：

https://figshare.com/articles/dataset/Performance_metrics_of_Softmax_Averaging_of_all_classifiers_/27294002 数据链接链接失效反馈

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资源简介：

Performance metrics of Softmax Averaging of all classifiers.

应用场景：

创建时间：

2024-10-24

语言模型评测

模型性能指标

该数据集是在Open LLM Leaderboard上对模型BEE-spoke-data/verysmol_llama-v11-KIx2进行评估时自动生成的。数据集包含64个配置，每个配置对应一个评估任务。它包含一次运行的结果，每次运行在每个配置中表示为特定的分割，分割名称由运行的时间戳命名。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，用于计算和显示Open

Hugging Face2023-11-13 更新180

Evaluation Indicators for the BP Neural Network Model.

神经网络评估

模型性能指标

Evaluation Indicators for the BP Neural Network Model.

NIAID Data Ecosystem50

Various indicators of included literatures.

二元分类评估

模型性能指标

aTP, true positive value. bFP, false positive value. cFN, false negative value. dTN, true negative value. eSe, sensitivity. fSp, specificity. Various indicators of included literatures.

NIAID Data Ecosystem30

FPF Simulation results of bias and MSE for n = 1000 using Monte Carlo.

统计模拟评估

模型性能指标

FPF Simulation results of bias and MSE for n = 1000 using Monte Carlo.

Figshare2025-12-02 更新70

Level 2: Values of the class-specific net BA-RB-I coefficients for models derived from the test dataset across imbalance ranging from 1% to 99% of the event class.

不平衡分类

模型性能指标

Level 2: Values of the class-specific net BA-RB-I coefficients for models derived from the test dataset across imbalance ranging from 1% to 99% of the event class.

Figshare2025-04-10 更新40

Performance metrics of Softmax Averaging of all classifiers.

资源简介：

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