acc: Accuracy of the Model

In jjb: Balamuta Miscellaneous

Description

Calculates the accuracy of the model by taking the mean of the number of times the truth, y, equals the predicted, y hat.

Usage

acc(y, yhat)

Arguments

y	A vector of the true y values
yhat	A vector of predicted y hat values.

Value

The accuracy of the classification in numeric form.

Examples

# Set seed for reproducibility
set.seed(100)

# Generate data
n = 1e2

y = round(runif(n))
yhat = round(runif(n))

# Compute
o = acc(y, yhat)

jjb documentation built on Jan. 8, 2020, 5:07 p.m.