summary.classaccur: Summarizing Evaluation of Classification Accuracy

In AndreasChristianHill/classoptimr: Optimal classification schemes for prediction models with continuous response variable

Description

summary methods for class 'classaccur'

Usage

## S3 method for class 'classaccur'
summary(object, ...)

Arguments

object	object of class 'classaccur'
...	additional arguments, so far ignored.

Value

summary.classaccur returns an object of class "summary.classaccur".

An object of class "summary.classaccur" returns a list of the following components:

accmat	a data.frame summarizing the user's- and producer's accuracy
rsquared_val	the coefficient of determination of the prediction model, calulated based on refdata and predictions
predictions	vector containing the predictions given to classAccuracy
overall.accuracy	the overall accuracy of the classification scheme
conf.oaa	vector containing [1] the lower confidence limit of the OAA, [2] the upper confidence limit of the OAA, and [3] the confidence level
cohenskappa	Cohen's Kappa Coefficient
Quantity.Disagreement	the quantity disagreement
Allocation.Disagreement	the allocation disagreement

Examples

## -- Summarize classification accuracy:

acc.equal<- classAccuracy(refdata.gr, predictions.gr, equal.int = 100)
summ.<- summary(acc.equal)

# print summary-object:
summ.

# extract accuracy-data.frame:
summ.$accmat

AndreasChristianHill/classoptimr documentation built on May 29, 2019, 12:23 p.m.