Description Usage Arguments Value Methods (by class) Author(s)
Computes model misclassification rate
1 2 3 4 |
object |
Linear classifier specification object. |
feats |
Numeric matrix. Features to predict. Dimensionality should be consistent with that of the model. |
targets |
Numeric matrix. TRUE targets to compare prediction against. Dimensionality should be consistent with that of the model. Should always be one-hot encoded. |
backend |
Computation back-end ('R', 'C', or 'CUDA') |
Numeric scalar. Misclassification rate. Percentage of wrong predictions.
model.spec
: Computes model misclassification rate for linear
classifier model object
Mohamed Ishmael Diwan Belghazi
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