RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (0.1.4) of this package.
Take me there.
Metrics (version 0.1.2)
Evaluation Metrics for Machine Learning
Description
Metrics is a set of evaluation metrics that is commonly used in supervised machine learning.
Copy Link
Copy
Link to current version
Version
Version
0.1.4
0.1.3
0.1.2
0.1.1
Down Chevron
Install
install.packages('Metrics')
Monthly Downloads
21,323
Version
0.1.2
License
BSD
Issues
12
Pull Requests
24
Stars
1,620
Forks
454
Repository
https://github.com/benhamner/Metrics/tree/master/R
Maintainer
ORPHANED
Last Published
April 21st, 2017
Functions in Metrics (0.1.2)
Search functions
ll
Compute the log loss
mae
Compute the mean absolute error#'
mapk
Compute the mean average precision at k
logLoss
Compute the mean log loss
auc
Compute the area under the ROC (AUC)
ce
Compute the classification error
se
Compute the squared error
sle
Compute the squared log error
mse
Compute the mean squared error#'
msle
Compute the mean squared log error
MeanQuadraticWeightedKappa
Compute the mean quadratic weighted kappa
ScoreQuadraticWeightedKappa
Compute the quadratic weighted kappa
ae
Compute the absolute error#'
apk
Compute the average precision at k
rmse
Compute the root mean squared error#'
rmsle
Compute the root mean squared log error