evaluateAdditionnalMetrics: Compute other prediction scores such as precision, recall and...

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Compute other prediction scores such as precision, recall and f-score

Description

This function computes prediction scores based on the confusion matrix such as accuracy, precision, recall and f-score

Usage

evaluateAdditionnalMetrics(mod, X, y, clf, mode = "train")

Arguments

mod:	a model object to be evaluated
X:	dataset to classify
y:	variable to predict
clf:	an object containing the different parameters of the classifier
mode:	training or testing mode

Value

a model whose evaluation parameters are updated

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.