rknn (version 1.0)

confusion: Classification Confusion Matrix and Accuracy

Description

Compute classification confusion matrix and accuracy

Usage

confusion(obs, pred)
confusion2acc(ct)

Arguments

obs

A vector of observed classes.

pred

A vector of predicted classes.

ct

A table retruned from confusion

Value

• confusion return a matrix of cross classification counts. confusion return a overall classification accuracy.

Examples

obs<- rep(0:1, each =5);
  pre<- c(obs[3:10], obs[1:2])
  confusion(obs, pre)
  confusion2acc(  confusion(obs, pre))