getMCE: getMCE
In CalibratR: Mapping ML Scores to Calibrated Predictions
Description
Usage
Arguments
Value
Description
Maximum Calibration Error (MCE), returns maximum calibration error for equal-frequency binning model
Usage
1
getMCE(actual, predicted, n_bins = 10)
Arguments
actual
vector of observed class labels (0/1)
predicted
vector of uncalibrated predictions
n_bins
number of bins of the underlying equal-frequency histogram, Default: 10
Value
equal-frequency MCE value
CalibratR documentation built on Aug. 19, 2019, 5:04 p.m.
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Description Usage Arguments Value
Description
Maximum Calibration Error (MCE), returns maximum calibration error for equal-frequency binning model
Usage
1 | getMCE(actual, predicted, n_bins = 10)
|
Arguments
actual |
vector of observed class labels (0/1) |
predicted |
vector of uncalibrated predictions |
n_bins |
number of bins of the underlying equal-frequency histogram, Default: 10 |
Value
equal-frequency MCE value
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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