Statistics: ConfusionMatrixChart

### Class Definition: `ConfusionMatrixChart`

statistics: cmc = ConfusionMatrixChart ()

Create object cmc, a Confusion Matrix Chart object.

`"DiagonalColor"`

The color of the patches on the diagonal, default is [0.0, 0.4471, 0.7412].

`"OffDiagonalColor"`

The color of the patches off the diagonal, default is [0.851, 0.3255, 0.098].

`"GridVisible"`

Available values: `on` (default), `off`.

`"Normalization"`

Available values: `absolute` (default), `column-normalized`, `row-normalized`, `total-normalized`.

`"ColumnSummary"`

Available values: `off` (default), `absolute`, `column-normalized`,`total-normalized`.

`"RowSummary"`

Available values: `off` (default), `absolute`, `row-normalized`, `total-normalized`.

MATLAB compatibility – the not implemented properties are: FontColor, PositionConstraint, InnerPosition, Layout.

See also: confusionchart

Source Code: ConfusionMatrixChart

### Method: `disp`

ConfusionMatrixChart: disp (cmc, order)

Display the properties of the `ConfusionMatrixChart` object cmc.

### Method: `sortClasses`

ConfusionMatrixChart: sortClasses (cmc, order)

Sort the classes of the `ConfusionMatrixChart` object cmc according to order.

Valid values for order can be an array or cell array including the same class labels as cm, or a value like `"auto"`, `"ascending-diagonal"`, `"descending-diagonal"` and `"cluster"`.

### Example: 1

     ## Create a simple ConfusionMatrixChart Object

     cm = ConfusionMatrixChart (gca, [1 2; 1 2], {"A","B"}, {"XLabel","LABEL A"})
     NormalizedValues = cm.NormalizedValues
     ClassLabels = cm.ClassLabels

    cm =

    ConfusionMatrixChart with properties:

    	NormalizedValues: [ 2x2 double ]
    	ClassLabels: { 1x2 cell }

    NormalizedValues =

       1   2
       1   2

    ClassLabels =
    {
      [1,1] = A
      [1,2] = B
    }