example: example
In CalibratR: Mapping ML Scores to Calibrated Predictions
Description
list object containing 1) the simulated classifiers for two classes. Distributions are simulated from Gaussian distributions with
Normal(mean=1.5, sd=0) for class 1 and Normal(mean=0, sd=0) for class 0 instances. Each class consists of 100 instances.
and 2) A test set of 100 instances
Usage
1
Format
predicted=vector of 200 simulated classifier values; actual=their respective true class labels (0/1)
CalibratR documentation built on Aug. 19, 2019, 5:04 p.m.
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Description
list object containing 1) the simulated classifiers for two classes. Distributions are simulated from Gaussian distributions with Normal(mean=1.5, sd=0) for class 1 and Normal(mean=0, sd=0) for class 0 instances. Each class consists of 100 instances. and 2) A test set of 100 instances
Usage
1 |
Format
predicted=vector of 200 simulated classifier values; actual=their respective true class labels (0/1)
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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