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Results are not reproducible on MIMIC-Ⅲ #3

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ChongWang2000 opened this issue Nov 18, 2021 · 1 comment
Open

Results are not reproducible on MIMIC-Ⅲ #3

ChongWang2000 opened this issue Nov 18, 2021 · 1 comment

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@ChongWang2000
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ChongWang2000 commented Nov 18, 2021

I use the data extraction process to get the MIMIC-Ⅲ dataset which contains 53,211 records. I use the given code to split the train, valid and test set. And I use the hyperparameters given to run mTAN-full, but I do not achieve 0.8544 AUROC on MIMIC-Ⅲ dataset . The highest is AUROC ~0.838.

This is achieved with this command:
python3 tan_classification.py --alpha 5 --niters 300 --lr 0.0001 --batch-size 128 --rec-hidden 256 --gen-hidden 50 --latent-dim 128 --enc mtan_rnn --dec mtan_rnn --save 1 --classif --norm --learn-emb --k-iwae 1 --dataset mimiciii

Classification Task on MIMIC-III Dataset (mTAND-Full).log

@ChongWang2000 ChongWang2000 changed the title Results are not reproducible on MIMIC-ⅢⅢ Results are not reproducible on MIMIC-Ⅲ Nov 18, 2021
@wang67-jianli
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Hi! How to get this: No such file or directory: '../../../neuraltimeseries/Dataset/final_input3.npy'?

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