Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
It should also be noted that this enrichment is consistently higher for SI analysis than for the t-test analysis, suggesting that candidates selected using the fold change method have a better true positives to false positives ratio, as compared to the statistical significance based selection.
Similar(59)
Figure 6 Comparison of false positive ratio.
False Positive Ratio – FPR: FPR = frac{FP}{FP+TN}.
Theoretical performance analysis is conducted to evaluate false negative ratio, false positive ratio, and compensation efficacy of the SIS.
In terms of false positive ratio, the three adversarial scenarios show a very low impact of our detection approach (on average, about 1.33% false positive ratio).
2) False positive ratio: The false positive rate is the amount of legitimate traffic wrongly detected as malicious.
In the BFs, it affects both the false positive ratio (FPR) and the memory utilization.
The false positive ratio is 1% and no false negatives were found, making the use of the CALUX technology advantageous.
Three indexes were employed to evaluate the classifier performance, accuracy, True Positive Ratio (TPR) and False Positive Ratio (FPR).
Main drawback is, in some cases, descriptiveness of the proposed descriptor, which may result in high false positive ratio.
The false positive ratio is roughly increased to 5% which is acceptable and does not affect the final detection results.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com