首页/数据集/Performance metrics of Softmax Averaging of best 3 classifiers.

Performance metrics of Softmax Averaging of best 3 classifiers.

Figshare2024-10-24 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Performance_metrics_of_Softmax_Averaging_of_best_3_classifiers_/27294005 数据链接链接失效反馈

官方服务：

资源简介：

Performance metrics of Softmax Averaging of best 3 classifiers.

应用场景：

创建时间：

2024-10-24

模型评估

自然语言处理

--- pretty_name: Evaluation run of jsfs11/MoEv4Config-TestWeightedTIES-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jsfs11/MoEv4Config-TestWeightedTIES-7

Hugging Face2024-02-13 更新250

multi-domain-reasoning/arc_eval

自然语言处理

模型评估

该数据集包含多个特征，如id、问题、选项、答案等，每个特征都有其特定的数据类型。数据集被分为一个测试集，包含1172个示例，总大小为8449241字节。此外，还提供了数据集的下载大小和配置信息。

Hugging Face2024-12-24 更新100

Summary results for country level and regional models to predict the spatial price index (price divided by the national average) for urea and cross-validation results: Pearson’s correlation coefficient between observed and predicted data price.

肥料价格预测

模型评估

EI: Root mean square error (USD kg-1). E0: Mean square error of the Null model. ER: Relative mean square error, calculated as: 1-(EI / E0). EI and E0 are expressed for the relative index and for the r

Figshare2020-01-14 更新30

Five Repeatable Flaws in GPT-OSS-20B

自然语言处理

模型评估

Seed-stable transcripts highlighting deception, sandbagging, and etc.

kaggle2025-08-26 更新130

arjun3103/haystack_faithfulness_evaluation

模型评估

自然语言处理

--- dataset_info: features: - name: questions dtype: string - name: contexts sequence: string - name: answers dtype: string - name: ans_type dtype: string - name: faithfuln

Hugging Face2024-06-06 更新80

Performance metrics of Softmax Averaging of best 3 classifiers.

资源简介：

相关数据集