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Hello, I have encountered some confusion. There are two different patterns in the code for the CE indicator you provided. For example,
res_mlc['F1_MACRO'] = f1_score(gt, pred, average="macro")
res_mlc['F1_MICRO'] = f1_score(gt, pred, average="micro")
which method is the most standard in your paper?
The text was updated successfully, but these errors were encountered:
Hello, I have encountered some confusion. There are two different patterns in the code for the CE indicator you provided. For example, res_mlc['F1_MACRO'] = f1_score(gt, pred, average="macro") res_mlc['F1_MICRO'] = f1_score(gt, pred, average="micro") which method is the most standard in your paper?
Hello! Have you got the MIMIC-cxr dataset? I'm confused about the size of dataset. I have got an account, but my net is not so stable that I dont't know whether the dataset is completely downloaded. Could you tell me the size of the every file? especially the named "files" in the dataset. Thank you very much!
Hello, I have encountered some confusion. There are two different patterns in the code for the CE indicator you provided. For example, res_mlc['F1_MACRO'] = f1_score(gt, pred, average="macro") res_mlc['F1_MICRO'] = f1_score(gt, pred, average="micro") which method is the most standard in your paper?
Hello,
Where did you find the code regarding the calculations for the CE indicator? I can't seem to find it.
Hello, I have encountered some confusion. There are two different patterns in the code for the CE indicator you provided. For example,
res_mlc['F1_MACRO'] = f1_score(gt, pred, average="macro")
res_mlc['F1_MICRO'] = f1_score(gt, pred, average="micro")
which method is the most standard in your paper?
The text was updated successfully, but these errors were encountered: