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jeya-maria-jose / UNeXt-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
https://jeya-maria-jose.github.io/UNext-web/
MIT License
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About Experiments #23

Closed AirZWH closed 1 year ago

AirZWH commented 2 years ago

Thank you for your sharing. I noticed ‘We perform a 80-20 random split thrice across the dataset and report the mean and variance.’ in the paper 3 Experiments and Results. I wonder if random _ state is set to 41 in every experiment. Does it mean that the training and test sets are the same in the three experiments? Thank you very much. train_img_ids, val_img_ids = train_test_split(img_ids, test_size=0.2, random_state=41)

jeya-maria-jose commented 1 year ago

Hi.

No, the random_state is changed for every experiment.