This function compares the prediction results returned by a classifier with ground truth, and finally gives a summary of the evaluation.
evaluate_pred(y.pred, y.true, caseid = names(y.true), showplot = TRUE, ...)
y.pred | A matrix of predicted probabilities, as returned by a classifier. |
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y.true | Ground truth labels vector. |
caseid | The names of test cases which we take account of. By default all test cases are used for evaluation. |
showplot | Logical; if |
... | Not used. |
A summary of evaluation result.