分析下列实验结果:This is the experiment of Subject # 3 // The accuracy is 0.573469387755102 This is the experiment of Subject # 8 // The accuracy is 0.632070707070707 This is the experiment of Subject # 9 // The accuracy is 0.6675824175824177 This is the experiment of Subject # 10 // The accuracy is 0.8071428571428572 This is the experiment of Subject # 11 // The accuracy is 0.59652133580705 This is the experiment of Subject # 12 // The accuracy is 0.7999999999999999 This is the experiment of Subject # 13 // The accuracy is 0.8654761904761905 This is the experiment of Subject # 14 // The accuracy is 0.8313775510204081 This is the experiment of Subject # 15 // The accuracy is 0.6232323232323232 This is the experiment of Subject # 16 // The accuracy is 0.5939393939393939 The Overall WAR is 0.7271028037383177 The Overall UAR is 0.7146362879966881 The confusion matrix is [[108 0 1 1 17 0 0] [ 0 58 7 1 0 3 12] [ 4 2 35 2 0 1 2] [ 12 1 2 41 5 5 3] [ 21 0 1 9 40 0 0] [ 4 5 3 1 3 60 3] [ 0 12 3 0 0 0 47]] WAR of each subject: [0.69387755 0.65517241 0.72093023 0.81578947 0.65454545 0.82857143 0.85245902 0.79710145 0.64285714 0.66197183] UAR of each subject: [0.57346939 0.63207071 0.66758242 0.80714286 0.59652134 0.8 0.86547619 0.83137755 0.62323232 0.59393939]
时间: 2024-02-19 22:00:17 浏览: 19
这些实验结果是某个分类任务的结果。每个实验代表了一个受试者的结果,实验的准确率(accuracy)在结果中给出。最后给出了整体的准确率(WAR)和无加权的平均准确率(UAR)以及混淆矩阵。其中,WAR是所有受试者准确率的平均值,UAR是每个受试者的准确率的平均值。混淆矩阵则给出了分类器在每个类别上的分类结果,可以用于评估分类器的性能和找出分类器分类错误的原因。此外,还给出了每个受试者的WAR和UAR,用于评估每个受试者的分类性能。需要注意的是,WAR和UAR可能会受到类别不平衡的影响,需要根据具体情况进行评估。
相关问题
print('the accuracy of ', EXPERIMENT_NUM, ' times experiment is :', accs)
这段代码看起来是输出实验的准确率。其中,EXPERIMENT_NUM表示实验的次数,accs是一个包含每次实验的准确率的列表。
可以用以下代码实现:
```
print('the accuracy of', EXPERIMENT_NUM, 'times experiment is:', sum(accs)/len(accs))
```
这会输出实验的平均准确率。
Unable to open D:/altera/13.1/experiment/tiaoshi/simulation/qsim/scan_led.msim.vcd Error.
As an AI language model, I cannot diagnose the exact issue with the given information. However, this error message suggests that there might be an issue with opening the specified file "scan_led.msim.vcd" located in the directory "D:/altera/13.1/experiment/tiaoshi/simulation/qsim/".
To troubleshoot this issue, you may try the following steps:
1. Check if the file exists in the specified directory.
2. Verify that the file is not currently in use by any other program.
3. Try opening the file with a different program or tool.
4. Check for any file or folder permissions that might be restricting access to the file.
5. Reinstall the software that is associated with the file to ensure that it is not corrupted.
If none of the above steps work, you may need to seek technical support or consult with an expert in the field.