Comments (3)
juliandewit
commented on May 21, 2024
Hello, I did not compute accuracy.
I used logloss on the holdout set(s) with my gradient boosting to assess my models.
Accuracy was very high but this is main due to the data imbalance. (many negative cases).
Final analysis have been done on the real test-set at kaggle.
There was a video of AUC etc on the NVIDIA event.
from kaggle_ndsb2017.
nishat-sayyed
commented on May 21, 2024
Can anyone find the solution to find out the accuracy?
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juliandewit
commented on May 21, 2024
Accuracy is not a good measure..
A better measure is UAC.
For an in-depth analysis see :
Analysis of 2017 datascience bowl by organiser
Note that our solution had the best AUC.
from kaggle_ndsb2017.
Related Issues (20)
- settings.MANUAL_ANNOTATIONS_LABELS_DIR and pos_labels_dir = settings.LUNA_NODULE_LABELS_DIR HOT 2
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