sensitivity: Estimating sensitivity

In loublanpain/BMI585FinalProjectLouBlanpain: What the Package Does (One Line, Title Case)

Description

Computes the sensitivity or recall of a classifier, by using measured data vs data predicted by a classifier.

Usage

sensitivity(pred, truth)

Arguments

pred	A logical (T=positive, F=negative) or numeric (1=positive, 0=negative) vector of positives and negatives provided by the classifier.
truth	A logical (T=positive, F=negative) or numeric (1=positive, 0=negative) vector of positives and negatives measured.

Details

Equation used is # True Positives / # All Positives.

Value

A value from 0 (low sensitivity) to 1 (high sensitivity).

Examples

pred_values=sample(c(0,1),replace=T,size=100)
true_values=sample(c(0,1),replace=T,size=100)
sensitivity(pred_values,true_values)

loublanpain/BMI585FinalProjectLouBlanpain documentation built on Dec. 21, 2021, 11:49 a.m.