Contingency Table#
A Contingency Table is used to display the frequency distribution of class labels among a clustering. It is similar to a Confusion Matrix but uses the labels to establish ground-truth for a clustering problem instead.
Estimator Compatibility: Clusterer
Parameters#
This report does not have any parameters.
Example#
use Rubix\ML\CrossValidation\Reports\ContingencyTable;
$report = new ContingencyTable();
$result = $report->generate($predictions, $labels);
echo $result;
[
{
"lamb": 11,
"wolf": 2
},
{
"lamb": 1,
"wolf": 5
}
]
Last update:
2021-04-17