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Performance Evaluation of Three Models Before and After SMOTE Resampling.

Figshare2025-03-18 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Performance_Evaluation_of_Three_Models_Before_and_After_SMOTE_Resampling_/28618525 数据链接链接失效反馈

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资源简介：

Performance Evaluation of Three Models Before and After SMOTE Resampling.

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创建时间：

2025-03-18

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

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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

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Performance of machine learning models for GWW and GWE prediction.

地下水预测

机器学习模型评估

Performance of machine learning models for GWW and GWE prediction.

NIAID Data Ecosystem30

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

Prospective performance of the majority vote ML algorithm.

集成学习算法

机器学习模型评估

Prospective performance of the majority vote ML algorithm.

NIAID Data Ecosystem30