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Hi again,
Sorry for the trouble. We have adjusted our dataset and trained as per your suggestion, however the f1 score is still only at 0.06 after 400 epochs. Do you mind sharing the dataset you t…
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Nice work! I have a question about how to obtain the f1 score.
The code in line 29 of evaluate.py is:
f1_score = (len(intersecting_words) * len(intersecting_words)) / float(k)
It looks like t…
NJULY updated
2 weeks ago
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Hello,
Please could you let me know how you calculated the F1-Score for UCR?
The reason I am asking is that you determine accuracy based on if an anomaly is found within the range.
How do you…
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Hello, when the training dataset is within 3000, the score of F1 is 0.75. When I use the entire training set for training, the score of F1 actually hovers around 0.52, which does not meet the requirem…
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想问一下如何得到模型的F1 score呢？如需要自己编写代码，应该在哪个文件里进行修改呢？
I wonder how can I get F1-score of this model? If I need to add my own code, which file should I modify?
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Has someone managed to find the right way to calculate the F1 score for different tasks?
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Hello, I ran through your project, but since I failed to open the relevant pictures in RGB format, I cleaned the data set entries corresponding to the unopened pictures (Twitter), but the F1 value in …
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我用提供的代码，用JAAD数据集跑出来的结果，跟实际完全不符
结果如下
Acc: 0.6394557823129252
f1: 0.7800829875518672
precision_score: 0.6394557823129252
recall_score: 1.0
roc_auc_score: 0.5
confusion_matrix: [[ 0 53]
[ 0…
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Do you have any suggestions for word vectors to use for Komi? I tried the fasttext Komi vectors with Stanza for POS and depparse, but it didn't make a huge difference. Tagger score went up 1 F1, but…
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`python train_sedt.py
--gpus $ngpu
--dataname urbansed
--batch_size 64
--fusion_strategy 1
--dec_at
--weak_loss_coef 1
--…