How to evaluation for testing datasets?

Question

How to evaluation for testing datasets?

Closed this issue 9 months ago · 2 comments

Answer 1 · 2024-01-30T06:08:18.000Z

For Camelyon-16 and TCGA-NSCLC, we all used multi-fold cross-validation. Therefore, we didn't use the official Camelyon-16 test set to evaluate the models.

Cross-validation code: cv-fold=3 for Camelyon-16, cv-fold=4 for TCGA-NSCLC. Complete Codes.
If u wanto evaluate for test set by yourself, u should train a model only with train set, and evaluate it with test set. This repo does not contain this codes. u can use the model api.

Answer 2 · 2024-01-30T07:52:42.000Z

For Camelyon-16 and TCGA-NSCLC, we all used multi-fold cross-validation. Therefore, we didn't use the official Camelyon-16 test set to evaluate the models.

Cross-validation code: cv-fold=3 for Camelyon-16, cv-fold=4 for TCGA-NSCLC. Complete Codes.

If u wanto evaluate for test set by yourself, u should train a model only with train set, and evaluate it with test set. This repo does not contain this codes. u can use the model api.

Thanks a lot :)