eval_auc: Evaluation Metrics
In zamorarr/riskslimr: Implementation of RiskSLIM model in R
Description
Evaluation Metrics
Usage
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eval_auc(model_fit, new_data, ...)
eval_cal(model_fit, new_data, grouped = FALSE, ...)
eval_precision(model_fit, new_data, threshold = 0.5, ...)
eval_recall(model_fit, new_data, threshold = 0.5, ...)
eval_accuracy(model_fit, new_data, threshold = 0.5, ...)
eval_logloss(model_fit, new_data)
Arguments
model_fit
model fit from lcpa
new_data
data frame
threshold
vector of values to use as threshold cutoffs
zamorarr/riskslimr documentation built on Sept. 2, 2021, 7:38 p.m.
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Description
Evaluation Metrics
Usage
1 2 3 4 5 6 7 8 9 10 11 | eval_auc(model_fit, new_data, ...)
eval_cal(model_fit, new_data, grouped = FALSE, ...)
eval_precision(model_fit, new_data, threshold = 0.5, ...)
eval_recall(model_fit, new_data, threshold = 0.5, ...)
eval_accuracy(model_fit, new_data, threshold = 0.5, ...)
eval_logloss(model_fit, new_data)
|
Arguments
model_fit |
model fit from |
new_data |
data frame |
threshold |
vector of values to use as threshold cutoffs |
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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