Precision100.0% (±0.0%)
MODULE DETAIL
Source Code Self-generated
Classification claim · 770 test cases · tool: 1.171.0
Every test case in this module: the expected result (ground truth -- for aws_discovery this includes the exact Moto resource configuration each case was scored against) paired with what the real scanner/collector actually reported, for all 770 cases -- not just the false positive/negative samples shown below.
Recall100.0% (±0.0%)
F11.000
Accuracy100.0% (±0.0%)
CONFUSION MATRIX
Outcome counts
True positives385
True negatives385
False positives0
False negatives0
RUN NOTES
Notes
- semgrep available: True
CORPUS
Corpus composition
Cases770
Wall time6.1s
- semgrep available: True
MISCLASSIFICATIONS
False positives & false negatives
None observed in this run.