Closed MjdMahasneh closed 3 years ago
I think you run the model with 10 fold cross validation and also you just did 1 fold train-test phase. In the 5-fold cross validation (as said in the paper) each fold contain almost 149248 candidates, and if you run all of validation folds, you can reach near to 754975 candidates.
Hello,
after evaluating the predictions file (i.e. METU_VISION_FPRED.csv) using the LUNA16 official script (i.e. noduleCADEvaluationLUNA16.py), I get an output (CADAnalysis.txt) like this :
From what I understand, the the Total number of candidates should be 754,975 according to https://luna16.grand-challenge.org/Evaluation/
Even though METU_VISION_FPRED.csv has 754,975 candidates!! the CADAnalysis.txt still says Total number of candidates: 87794 !!!!!
Looking forward to hearing back from you. Any help is extremely appreciated.
Many thanks.
Any idea why that happens?? Am I missing something?