accuracy: Calculate the Accuracy of the model
In PaoloLuciano/BPWPM: Bayesian Piecewise Polinomial Model
Description
Usage
Arguments
Value
Examples
Description
Given a set of true values and their corresponding fitted probabilities,
the function calculates the accuracy of the model defined by:
1- #wrong prediction/# of observations
Usage
1
Arguments
p
Vector of fitted probabilities for each Y.
verb
short for verbose, if TRUE, prints aditional information (logical)
Value
The accuracy of the model, given the fitted probabilities and new data
Examples
1
(new_Y, fitted_probs_for_data)
PaoloLuciano/BPWPM documentation built on May 21, 2019, 1:20 p.m.
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Description Usage Arguments Value Examples
Description
Given a set of true values and their corresponding fitted probabilities, the function calculates the accuracy of the model defined by: 1- #wrong prediction/# of observations
Usage
1 |
Arguments
p |
Vector of fitted probabilities for each Y. |
verb |
short for verbose, if TRUE, prints aditional information (logical) |
Value
The accuracy of the model, given the fitted probabilities and new data
Examples
1 | (new_Y, fitted_probs_for_data)
|
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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