Create precision object for classification

Use this function to create a precision object for classification tasks. This object will contain raw training and two sets of test data, along with their labels.

Usage

create.precision.classification(
  traindata,
  testdata1,
  testdata2,
  trainlabel,
  testlabel1,
  testlabel2
)

Arguments

traindata

Training data matrix, (p by n), where p is the number of features and n is the number of samples.

testdata1

First test data matrix, (p by n), where p is the number of features and n is the number of samples.

testdata2

Second test data matrix, (p by n), where p is the number of features and n is the number of samples.

trainlabel

Training data labels, a vector of length n (number of samples).

testlabel1

First test data labels, a vector of length n (number of samples).

testlabel2

Second test data labels, a vector of length n (number of samples).

Value

A precision object for classification