make.stats.df.from.preds: Create the "Stats" Data Frame from Prediction Data Frame
In PriceLab/FPML: Footprint Machine Learning
Description
Usage
Arguments
Value
Description
Given the "Prediction" data frame generated by a particular model type, compute the statistics
needed to plot the ROC curve, and Precision-Recall curve
Usage
1
make.stats.df.from.preds(pred.df, num.roc.points = 101)
Arguments
pred.df
Data frame containing the actual reponses, predicted responses, and model name for
a given model. Generally, this should be output by either make.pred.df.from.model or
make.pred.df.from.glm
num.roc.points
An integer indicating how many points to include in calculating the ROC
curve parameters
Value
A data frame containing statistics needed to plot the ROC and Precision-Recall curves
PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.
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Description Usage Arguments Value
Description
Given the "Prediction" data frame generated by a particular model type, compute the statistics needed to plot the ROC curve, and Precision-Recall curve
Usage
1 | make.stats.df.from.preds(pred.df, num.roc.points = 101)
|
Arguments
pred.df |
Data frame containing the actual reponses, predicted responses, and model name for
a given model. Generally, this should be output by either |
num.roc.points |
An integer indicating how many points to include in calculating the ROC curve parameters |
Value
A data frame containing statistics needed to plot the ROC and Precision-Recall curves
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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