flIdentifyOutliersF1: Identify samples outliers by the means of F1-scores.
In mlux86/flowLearn: flowLearn
Description
Usage
Arguments
Value
Examples
Description
This method returns indices of samples with low F1-scores, using an outlier heuristic that considers all samples as outliers, when they are below the 25-percent-quantile - 1.5 * inter-quartile-range.
Usage
1
flIdentifyOutliersF1(f1s)
Arguments
f1s
The list of F1-scores, one entry per sample.
Value
A vector of indices with low F1-scores.
Examples
1
2
3
f1s <- runif(99, min = 0.42, max = 0.84)
f1s[100] <- 0
flIdentifyOutliersF1(f1s)
mlux86/flowLearn documentation built on May 29, 2019, 5:43 a.m.
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Description Usage Arguments Value Examples
Description
This method returns indices of samples with low F1-scores, using an outlier heuristic that considers all samples as outliers, when they are below the 25-percent-quantile - 1.5 * inter-quartile-range.
Usage
1 | flIdentifyOutliersF1(f1s)
|
Arguments
f1s |
The list of F1-scores, one entry per sample. |
Value
A vector of indices with low F1-scores.
Examples
1 2 3 | f1s <- runif(99, min = 0.42, max = 0.84)
f1s[100] <- 0
flIdentifyOutliersF1(f1s)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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