Description Usage Arguments Value Author(s) See Also
In case multiple thresholds give the same error the largest one is chosen (i.e. the one keeping the fewest features).
1 | predict_pamr(object, x, threshold, thres_fun, ...)
|
object |
Fitted classifier. |
x |
Dataset of observations to be classified. |
threshold |
Threshold to use for classification. This argument is only needed if you want to override the value set during model fitting. |
thres_fun |
Threshold selection function. Only needed if you want to override the function set during model fitting. |
... |
Sent to |
A list with elements:
prediction
: Factor of predicted class memberships.
probability
: Data frame of predicted class probabilities.
Christofer Bäcklin
emil
, fit_pamr
,
importance_pamr
, modeling_procedure
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