训练集正确率比验证集低
时间: 2024-04-26 12:20:30 浏览: 6
训练集正确率比验证集低的情况可能有多种原因。一种可能是过拟合,即模型在训练集上过度拟合,而在新数据上表现较差。这种情况下,模型可能过于复杂,导致无法泛化到新的样本上。解决过拟合的方法包括增加训练数据、减少模型的复杂度、添加正则化项等。<em>1</em><em>2</em><em>3</em>
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- *1* [训练集准确率很高,验证集准确率低问题](https://blog.csdn.net/qq_39777550/article/details/108965486)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}} ] [.reference_item]
- *2* *3* [使用resnet, inception3进行fine-tune出现训练集准确率很高但验证集很低的问题](https://blog.csdn.net/demm868/article/details/108915161)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}} ] [.reference_item]
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