Why are the training and testing accuracies only around 0.1, even after switching datasets?

[123451123124]

Why are the training and testing accuracies only around 0.1, even after switching datasets?

[diaochengxi]

I also encountered the same problem. Have you found a solution on your end?

[nhien36hk]

should notice how they caculator accuracy and matrics

[diaochengxi]

should notice how they caculator accuracy and matrics应该注意他们如何计算精度和矩阵
Do you mean the issue with the metric calculation? I saw that someone managed to reproduce the results by changing the dataset.

[diaochengxi]

Why are the training and testing accuracies only around 0.1, even after switching datasets?为什么即使在切换数据集后，训练和测试的准确率也只有 0.1 左右？

Hello, may I ask if the dataset you are using is available for provision? I am willing to pay for it.

[huangyuyan3]

Why are the training and testing accuracies only around 0.1, even after switching datasets?为什么即使在切换数据集后，训练和测试的准确率也只有 0.1 左右？

Hello, may I ask if the dataset you are using is available for provision? I am willing to pay for it.

May I ask if you have solved it?

[stillfighter2]

Why are the training and testing accuracies only around 0.1, even after switching datasets?为什么即使在切换数据集后，训练和测试的准确率也只有 0.1 左右？

Hello, may I ask if the dataset you are using is available for provision? I am willing to pay for it.

May I ask if you have solved it?

no,sir.i will just use the code prepare for my work,just try it.

[huangyuyan3]

Why are the training and testing accuracies only around 0.1, even after switching datasets?为什么即使在切换数据集后，训练和测试的准确率也只有 0.1 左右？

Hello, may I ask if the dataset you are using is available for provision? I am willing to pay for it.

May I ask if you have solved it?

no,sir.i will just use the code prepare for my work,just try it.

thank you