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资源简介：
Dataset with the RMSE for each method
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创建时间：
2021-10-30
相关数据集
kshitijthakkar/smoltrace-results-20251022_194349
该数据集包含多个字段，如模型名称、评估日期、测试ID、代理类型、难度、提示信息、是否成功、是否调用工具、工具是否正确、是否调用最终答案、响应是否正确、使用的工具列表、步骤数、响应内容、错误信息和增强追踪信息。数据集分为训练集，共有15个示例。数据集的总大小为5377字节，下载大小为9517字节。
Hugging Face2025-10-22 更新100
AUC Results.
AUC values of the four MoRF predictors using the TEST464 and EXP53 data sets. For EXP53_Short, only MoRF sections with up to 30 residues are considered as MoRFs, while longer MoRF sections were masked
Figshare2015-12-03 更新30
Runtimes for the networks analysed.
The number of metabolites and reactions is denoted by m and n respectively. The dimensionality of the nullspace of , is given by N(S). Time gp (SD) is the mean runtime (seconds) and standard deviation
Figshare2015-12-02 更新20
Performance evaluation for locomotion prediction using BSM-HMM and DERNN over HWU-USP via precision, recall, F1-scores, and accuracy rate.
Performance evaluation for locomotion prediction using BSM-HMM and DERNN over HWU-USP via precision, recall, F1-scores, and accuracy rate.
Figshare2026-02-23 更新30
Models’ performance on the test validation dataset (TVD).
In this and the following tables, the highest performance values per preprocessing mode are bolded.
Figshare2024-11-18 更新20
