mtr_auc_prc: Area Under Precision-Recall Curve
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
mtr_auc_prc
Usage
1
mtr_auc_prc(actual, predicted)
Arguments
actual
[numeric] Ground truth binary numeric vector containing
1 for the positive class and 0 for the negative class.
predicted
[numeric] A vector of estimated probabilities.
Value
A numeric scalar output
Author(s)
An Chu
See Also
Examples
1
2
3
4
5
set.seed(101)
pred <- runif(1000)
act <- round(pred)
pred[sample(1000, 500)] <- runif(500) # noise
mtr_auc_prc(act, pred)
chuvanan/metrics documentation built on Nov. 4, 2019, 8:52 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
mtr_auc_prc
Usage
1 | mtr_auc_prc(actual, predicted)
|
Arguments
actual |
|
predicted |
|
Value
A numeric scalar output
Author(s)
An Chu
See Also
Examples
1 2 3 4 5 | set.seed(101)
pred <- runif(1000)
act <- round(pred)
pred[sample(1000, 500)] <- runif(500) # noise
mtr_auc_prc(act, pred)
|
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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