This table shows the best performing model for each approach and phenotype.

Figshare2018-02-16 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/This_table_shows_the_best_performing_model_for_each_approach_and_phenotype_/5893105 数据链接链接失效反馈

官方服务：

资源简介：

We show precision, recall, F1-Score, and AUC.

创建时间：

2018-02-16

open-llm-leaderboard/details_bhenrym14__airoboros-33b-gpt4-1.4.1-PI-8192-fp16

机器学习模型评估

性能分析

--- pretty_name: Evaluation run of bhenrym14/airoboros-33b-gpt4-1.4.1-PI-8192-fp16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [bhenrym14/airoboros-33b-gpt4

Hugging Face2023-10-15 更新160

Dataset-link

神经影像

机器学习模型评估

We introduce NeuroBench-LS, a unified framework for evaluating and improving the generalizability of foundation models across the human lifespan using brain MRI. This contains the links for data used

DataCite Commons2025-05-14 更新70

Comparison of different SSVMS with SVM and LSSVM at different scales.

支持向量机算法比较

机器学习模型评估

Comparison of different SSVMS with SVM and LSSVM at different scales.

NIAID Data Ecosystem40

crossingminds/credit_card_3k

数据处理

机器学习模型评估

Credit Card 3k 数据集是一个合成任务数据集，用于评估大型语言模型（LLM）的域自适应能力，特别是比较上下文学习与微调的效果。该数据集包含3,111对信用卡交易字符串及其对应的商家名称。这些字符串对于人类来说很容易理解，但对于机器来说却难以处理，因为它们通常包含多种代码、数字、缩写以及有时混淆的支付处理器名称（如PayPal或SQ）。数据集可用于上下文学习（少量示例）以及用于微调LLM

Hugging Face2025-03-28 更新100

Data set after pretreatment of comparative experiment

分类任务

机器学习模型评估

The data set is composed of 1494 txt files converted from CAJ format Chinese documents downloaded from CNKI, covering five topics: Bayesian network, personalized recommendation, image recognition, doc

科学数据银行2022-09-26 更新50

This table shows the best performing model for each approach and phenotype.

资源简介：

相关数据集