Compute a confusion matrix for classification problems
confusionmat returns the confusion matrix C for the group of
actual values group and the group of predicted values grouphat.
The row indices of the confusion matrix represent actual values, while the
column indices represent predicted values. The indices are the same for both
actual and predicted values, so the confusion matrix is a square matrix.
Each element of the matrix represents the number of matches between a given
actual value (row index) and a given predicted value (column index), hence
correct matches lie on the main diagonal of the matrix.
The order of the rows and columns is returned in order.
group and grouphat must have the same number of observations and the same data type. Valid data types are numeric vectors, logical vectors, character arrays, string arrays (not implemented yet), cell arrays of strings.
The order of the rows and columns can be specified by setting the grouporder variable. The data type of grouporder must be the same of group and grouphat.
See also: crosstab.
Package: statistics