evaluate.predictions: Evaluate prediction results

Description Usage Arguments Details Value Examples

View source: R/evaluate_predictions.r

Description

This function takes the correct labels and predictions for all samples and evaluates the results using the

as metric. Predictions can be supplied either for a single case or as matrix after resampling of the dataset.

Prediction results are usually produced with the function make.predictions.

Usage

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Arguments

siamcat

object of class siamcat-class

verbose

integer, control output: 0 for no output at all, 1 for only information about progress and success, 2 for normal level of information and 3 for full debug information, defaults to 1

Details

This functions calculates several metrices for the predictions in the pred_matrix-slot of the siamcat-class-object. The Area Under the Receiver Operating Characteristic (ROC) Curve (AU-ROC) and the Precision-Recall Curve will be evaluated and the results will be saved in the eval_data-slot of the supplied siamcat-class-object. The eval_data-slot contains a list with several entries:

For the case of repeated cross-validation, the function will additonally return

Value

object of class siamcat-class with the slot eval_data filled

Examples

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SIAMCAT documentation built on Nov. 8, 2020, 5:14 p.m.