modelPerformance: Evaluate model performance
In huqiwen0313/HM_splicing: Random forest based approach for detecting regulatory histone marks associated with splicing patterns
Description
Usage
Arguments
Value
Description
Evaluate model performance
Usage
1
modelPerformance(pred, pred_prob, class, cat)
Arguments
pred
predicted value
pred_prob
predicted probility
class
true class value
cat
# of classes
Value
performance evaluation metrics
huqiwen0313/HM_splicing documentation built on May 5, 2020, 12:36 p.m.
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Description Usage Arguments Value
Description
Evaluate model performance
Usage
1 | modelPerformance(pred, pred_prob, class, cat)
|
Arguments
pred |
predicted value |
pred_prob |
predicted probility |
class |
true class value |
cat |
# of classes |
Value
performance evaluation metrics
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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