oasisad_eva: OASISAD evaluation function
In dty0606/oasisad: 'OASISAD' an Improved Automated White Matter Hyper-intensity Classficiation Tool
Description
Usage
Arguments
Value
Description
Evaluate performance of segmentation models based on their outputs
Usage
1
oasisad_eva(pred, truth, pos_l = NULL)
Arguments
pred
a vector includes predicted labels from model.
truth
a vector includes true labels. Please check labels' names in pred and truth are same.
pos_l
a value indicates the positive label. If NULL, default will set last value from table function as positive label.
Value
a table includes evaluation metrics.
dty0606/oasisad documentation built on March 8, 2020, 11:18 p.m.
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Description Usage Arguments Value
Description
Evaluate performance of segmentation models based on their outputs
Usage
1 | oasisad_eva(pred, truth, pos_l = NULL)
|
Arguments
pred |
a vector includes predicted labels from model. |
truth |
a vector includes true labels. Please check labels' names in pred and truth are same. |
pos_l |
a value indicates the positive label. If NULL, default will set last value from table function as positive label. |
Value
a table includes 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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