mi_get_confusion: Compute the confusion matrix for the predicted result.
In MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
View source: R/mi_get_confusion.R
mi_get_confusion R Documentation
Compute the confusion matrix for the predicted result.
Description
Compute the confusion matrix for the predicted result.
Usage
mi_get_confusion(result_list, ifnet = FALSE)
Arguments
result_list
A list returned from model training functions.
ifnet
Logical.Whether the data is obtained by a deep learning model.
Value
A confusionMatrix object.
MantaID documentation built on Sept. 11, 2024, 6 p.m.
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View source: R/mi_get_confusion.R
| mi_get_confusion | R Documentation |
Compute the confusion matrix for the predicted result.
Description
Compute the confusion matrix for the predicted result.
Usage
mi_get_confusion(result_list, ifnet = FALSE)
Arguments
result_list |
A list returned from model training functions. |
ifnet |
Logical.Whether the data is obtained by a deep learning model. |
Value
A confusionMatrix object.
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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