Teradata R Package Function Reference - ConfusionMatrix - Teradata R Package - Look here for syntax, methods and examples for the functions included in the Teradata R Package.

Description

The ConfusionMatrix function shows how often a classification algorithm correctly classifies items. The function takes an input table that includes two columns, one containing the observed class of an item and the other containing the class predicted by the algorithm, and outputs three tables.

Usage

  td_confusion_matrix_mle (
      data = NULL,
      reference = NULL,
      prediction = NULL,
      classes = NULL,
      prevalence = NULL
  )

Arguments

Value

Function returns an object of class "td_confusion_matrix_mle" which is a named list containing Teradata tbl objects.
Named list members can be referenced directly with the "$" operator using following names:

1. counttable

2. stattable

3. accuracytable

4. output

Examples

    # Get the current context/connection
    con <- td_get_context()$connection
    
    # Load example data.
    loadExampleData("confusionmatrix_example", "iris_category_expect_predict")
    
    # Create remote tibble objects.
    iris_category_expect_predict <- tbl(con, "iris_category_expect_predict")
    
    # Example 1 -
    confusion_matrix_out <- td_confusion_matrix_mle(data = iris_category_expect_predict,
                                  reference = "expected_value",
                                  prediction = "predicted_value"
                                  )