ConfusionMatrixChart Properties

Confusion matrix chart appearance and behavior

ConfusionMatrixChart properties control the appearance and behavior of a ConfusionMatrixChart object. By changing property values, you can modify certain aspects of the confusion matrix chart. For example, you can add a title:

cm = confusionchart([1 3 5; 2 4 6; 11 7 3]);
cm.Title = 'My Confusion Matrix Title';

Labels

Title — Title

'' (default) | character vector | string scalar

Title of the confusion matrix chart, specified as a character vector or string scalar.

Example: cm = confusionchart(__,'Title','My Title Text')

Example: cm.Title = 'My Title Text'

XLabel — Label for x-axis

'Predicted class' (default) | string scalar | character vector

Label for the x-axis, specified as a string scalar or character vector.

Example: cm = confusionchart(__,'XLabel','My Label')

Example: cm.XLabel = 'My Label'

YLabel — Label for y-axis

'True class' (default) | string scalar | character vector

Label for the x-axis, specified as a string scalar or character vector.

Example: cm = confusionchart(__,'YLabel','My Label')

Example: cm.YLabel = 'My Label'

ClassLabels — Class labels

Read-only: categorical vector | numeric vector | string vector | character array | cell array of character vectors | logical vector

This property is read-only.

Class labels of the confusion matrix chart, stored as a categorical vector, numeric vector, string vector, character array, cell array of character vectors, or logical vector.

RowDisplayLabels — Labels for row values

string array | categorical array | cell array of character vectors

Since R2025a

Labels for the row (y-axis) values, specified as a string array, categorical array, or cell array of character vectors. The array must be the same size as ClassLabels. By default, the labels are a string array created from the ClassLabels value. When you specify this property as a categorical array, MATLAB^® uses the values in the array, not the categories.

The order of RowDisplayLabels must match the order of ClassLabels. By default, confusionchart sorts the classes into their natural order as defined by sort. If you specify RowDisplayLabels when you call the confusionchart function, then the order must match the order defined by calling sort on the true and predicted labels. If you specify RowDisplayLabels after you have created the ConfusionMatrixChart object, then the order must match the order of cm.ClassLabels.

Example: cm.RowDisplayLabels = ["SM","MED","LG"]

Example: cm = confusionchart(__,'RowDisplayLabels',["SM","MED","LG"])

Data Types: char | string | cell | categorical

ColumnDisplayLabels — Labels for column values

string array | categorical array | cell array of character vectors

Since R2025a

Labels for the column (x-axis) values, specified as a string array, categorical array, or cell array of character vectors . The array must be the same size as ClassLabels. By default, the labels are a string array created from the ClassLabels value. When you specify this property as a categorical array, MATLAB uses the values in the array, not the categories.

The order of ColumnDisplayLabels must match the order of ClassLabels. By default, confusionchart sorts the classes into their natural order as defined by sort. If you specify ColumnDisplayLabels when you call the confusionchart function, then the order must match the order of the ClassLabels input argument. If you specify ColumnDisplayLabels after you have created the ConfusionMatrixChart object, then the order must match the order of cm.ClassLabels.

Example: cm.ColumnDisplayLabels = ["SM","MED","LG"]

Example: cm = confusionchart(__,'ColumnDisplayLabels',["SM","MED","LG"])

Data Types: char | string | cell | categorical

SummaryLabelsVisible — State of summary labels visibility

'on' (default) | on/off logical value

Since R2025a

State of summary labels visibility, specified as 'on' or 'off', or as numeric or logical 1 (true) or 0 (false). A value of 'on' is equivalent to true, and 'off' is equivalent to false. Thus, you can use the value of this property as a logical value. The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState.

• 'on' — Display labels for the true positive rate (TPR), false negative rate (FNR), positive predictive value (PPV), and false discovery rate (FDR) on the row and column summaries.

• 'off' — Do not display labels on the row and column summaries.

Example: cm = confusionchart(__,'SummaryLabelsVisible','on')

Example: cm.SummaryLabelsVisible = 'on'

Interpreter — Text interpreter

'tex' (default) | 'latex' | 'none'

Since R2025a

Text interpreter, specified as one of these values:

• 'tex' — Interpret characters using a subset of TeX markup.

• 'latex' — Interpret characters using LaTeX markup.

• 'none' — Display literal characters.

The confusionchart function uses the interpreter when displaying the chart title, axis labels, or any data that includes text or symbols.

Before R2025a: Confusion charts interpret characters using a subset of TeX markup.

TeX Markup

By default, MATLAB supports a subset of TeX markup. Use TeX markup to add superscripts and subscripts, modify the font type and color, and include special characters in the text.

Modifiers remain in effect until the end of the text. Superscripts and subscripts are an exception because they modify only the next character or characters within curly braces. This table lists the supported modifiers for the "tex" interpreter.

Modifier	Description	Example
^{ }	Superscript	"text^{superscript}"
_{ }	Subscript	"text_{subscript}"
\bf	Bold font	"\bf text"
\it	Italic font	"\it text"
\sl	Oblique font (usually the same as italic font)	"\sl text"
\rm	Normal font	"\rm text"
\fontname{specifier}	Font name — Replace specifier with the name of a font family. You can use this in combination with other modifiers.	"\fontname{Courier} text"
\fontsize{specifier}	Font size —Replace specifier with a numeric scalar value in point units.	"\fontsize{15} text"
\color{specifier}	Font color — Replace specifier with one of these colors: red, green, yellow, magenta, blue, black, white, gray, darkGreen, orange, or lightBlue.	"\color{magenta} text"
\color[rgb]{specifier}	Custom font color — Replace specifier with a three-element RGB triplet.	"\color[rgb]{0,0.5,0.5} text"

This table lists the supported special characters for the "tex" interpreter.

Character Sequence	Symbol	Character Sequence	Symbol	Character Sequence	Symbol
\alpha	α	\upsilon	υ	\sim	~
\angle	∠	\phi	ϕ	\leq	≤
\ast	*	\chi	χ	\infty	∞
\beta	β	\psi	ψ	\clubsuit	♣
\gamma	γ	\omega	ω	\diamondsuit	♦
\delta	δ	\Gamma	Γ	\heartsuit	♥
\epsilon	ϵ	\Delta	Δ	\spadesuit	♠
\zeta	ζ	\Theta	Θ	\leftrightarrow	↔
\eta	η	\Lambda	Λ	\leftarrow	←
\theta	θ	\Xi	Ξ	\Leftarrow	⇐
\vartheta	ϑ	\Pi	Π	\uparrow	↑
\iota	ι	\Sigma	Σ	\rightarrow	→
\kappa	κ	\Upsilon	ϒ	\Rightarrow	⇒
\lambda	λ	\Phi	Φ	\downarrow	↓
\mu	µ	\Psi	Ψ	\circ	º
\nu	ν	\Omega	Ω	\pm	±
\xi	ξ	\forall	∀	\geq	≥
\pi	π	\exists	∃	\propto	∝
\rho	ρ	\ni	∍	\partial	∂
\sigma	σ	\cong	≅	\bullet	•
\varsigma	ς	\approx	≈	\div	÷
\tau	τ	\Re	ℜ	\neq	≠
\equiv	≡	\oplus	⊕	\aleph	ℵ
\Im	ℑ	\cup	∪	\wp	℘
\otimes	⊗	\subseteq	⊆	\oslash	∅
\cap	∩	\in	∈	\supseteq	⊇
\supset	⊃	\lceil	⌈	\subset	⊂
\int	∫	\cdot	·	\o	ο
\rfloor	⌋	\neg	¬	\nabla	∇
\lfloor	⌊	\times	x	\ldots	...
\perp	⊥	\surd	√	\prime	´
\wedge	∧	\varpi	ϖ	\0	∅
\rceil	⌉	\rangle	〉	\mid	|
\vee	∨	\langle	〈	\copyright	©

LaTeX Markup

To use LaTeX markup, set the interpreter to 'latex'. For inline mode, surround the markup with single dollar signs ($). For display mode, surround the markup with double dollar signs ($$).

The displayed text uses the default LaTeX font style. To change the font style, use LaTeX markup.

The maximum size of the text that you can use with the LaTeX interpreter is 1200 characters. For multiline text, this reduces by about 10 characters per line.

For examples that use TeX and LaTeX, see Greek Letters and Special Characters in Chart Text. For more information about the LaTeX system, see The LaTeX Project website at https://www.latex-project.org/.

Row and Column Summaries

RowSummary — Row summary

'off' (default) | 'absolute' | 'row-normalized' | 'total-normalized'

Row summary of the confusion matrix chart, specified as one of the following:

Option	Description
'off'	Do not display a row summary.
'absolute'	Display the total number of correctly and incorrectly classified observations for each true class.
'row-normalized'	Display the number of correctly and incorrectly classified observations for each true class as percentages of the number of observations of the corresponding true class. The percentages of correctly classified observations can be thought of as class-wise recalls (or true positive rates).
'total-normalized'	Display the number of correctly and incorrectly classified observations for each true class as percentages of the total number of observations.

Example: cm = confusionchart(__,'RowSummary','row-normalized')

Example: cm.RowSummary = 'row-normalized'

ColumnSummary — Column summary

'off' (default) | 'absolute' | 'column-normalized' | 'total-normalized'

Column summary of the confusion matrix chart, specified as one of the following:

Option	Description
'off'	Do not display a column summary.
'absolute'	Display the total number of correctly and incorrectly classified observations for each predicted class.
'column-normalized'	Display the number of correctly and incorrectly classified observations for each predicted class as percentages of the number of observations of the corresponding predicted class. The percentages of correctly classified observations can be thought of as class-wise precisions (or positive predictive values).
'total-normalized'	Display the number of correctly and incorrectly classified observations for each predicted class as percentages of the total number of observations.

Example: cm = confusionchart(__,'ColumnSummary','column-normalized')

Example: cm.ColumnSummary = 'column-normalized'

Data

NormalizedValues — Values of the confusion matrix

Read-only: numeric matrix

This property is read-only.

Values of the confusion matrix, stored as a numeric matrix. This property equals the values of the confusion matrix normalized using the method of the Normalization property. The software recalculates the normalized values of the confusion matrix each time you modify the Normalization property.

Normalization — Normalization of cell values

'absolute' (default) | 'column-normalized' | 'row-normalized' | 'total-normalized'

Normalization of cell values, specified as one of the following:

Option	Description
'absolute'	Display the total number of observations in each cell.
'column-normalized'	Normalize each cell value by the number of observations that has the same predicted class.
'row-normalized'	Normalize each cell value by the number of observations that has the same true class.
'total-normalized'	Normalize each cell value by the total number of observations.

Modifying the normalization of cell values also affects the colors of the cells.

Example: cm = confusionchart(__,'Normalization','total-normalized')

Example: cm.Normalization = 'total-normalized'

Color and Styling

GridVisible — State of grid visibility

'on' (default) | on/off logical value

State of grid visibility, specified as 'on' or 'off', or as numeric or logical 1 (true) or 0 (false). A value of 'on' is equivalent to true, and 'off' is equivalent to false. Thus, you can use the value of this property as a logical value. The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState.

• 'on' — Display grid lines between the chart cells.

• 'off' — Do not display grid lines between the chart cells.

Example: cm = confusionchart(__,'GridVisible','off')

Example: cm.GridVisible = 'off'

DiagonalColor — Color for diagonal cells

[0 0.4471 0.7412] (default) | RGB triplet | hexadecimal color code | 'r' | 'g' | 'b' | ...

Color for diagonal cells, specified as an RGB triplet, a hexadecimal color code, a color name, or a short name. The color of each diagonal cell is proportional to the cell value and the DiagonalColor property, normalized to the largest cell value of the confusion matrix chart. Cells with positive values are colored with a minimum amount of color, proportional to the DiagonalColor property.

RGB triplets and hexadecimal color codes are useful for specifying custom colors.

• An RGB triplet is a three-element row vector whose elements specify the intensities of the red, green, and blue components of the color. The intensities must be in the range [0,1]; for example, [0.4 0.6 0.7].

• A hexadecimal color code is a character vector or a string scalar that starts with a hash symbol (#) followed by three or six hexadecimal digits, which can range from 0 to F. The values are not case sensitive. Thus, the color codes "#FF8800", "#ff8800", "#F80", and "#f80" are equivalent.

Alternatively, you can specify some common colors by name. This table lists the named color options, the equivalent RGB triplets, and hexadecimal color codes.

Color Name	Short Name	RGB Triplet	Hexadecimal Color Code	Appearance
"red"	"r"	[1 0 0]	"#FF0000"
"green"	"g"	[0 1 0]	"#00FF00"
"blue"	"b"	[0 0 1]	"#0000FF"
"cyan"	"c"	[0 1 1]	"#00FFFF"
"magenta"	"m"	[1 0 1]	"#FF00FF"
"yellow"	"y"	[1 1 0]	"#FFFF00"
"black"	"k"	[0 0 0]	"#000000"
"white"	"w"	[1 1 1]	"#FFFFFF"

This table lists the default color palettes for plots in the light and dark themes.

Palette	Palette Colors
"gem" — Light theme default Before R2025a: Most plots use these colors by default.
"glow" — Dark theme default

You can get the RGB triplets and hexadecimal color codes for these palettes using the orderedcolors and rgb2hex functions. For example, get the RGB triplets for the "gem" palette and convert them to hexadecimal color codes.

RGB = orderedcolors("gem");
H = rgb2hex(RGB);

Before R2023b: Get the RGB triplets using RGB = get(groot,"FactoryAxesColorOrder").

Before R2024a: Get the hexadecimal color codes using H = compose("#%02X%02X%02X",round(RGB*255)).

The software chooses an appropriate text color for cell labels automatically, depending on the color of the chart cells.

Example: cm = confusionchart(__,'DiagonalColor','blue')

Example: cm.DiagonalColor = 'blue'

OffDiagonalColor — Color for off-diagonal cells

[0.8510 0.3255 0.0980] (default) | RGB triplet | hexadecimal color code | 'r' | 'g' | 'b' | ...

Color for off-diagonal cells, specified as an RGB triplet, a hexadecimal color code, a color name, or a short name. The color of each diagonal cell is proportional to the cell value and the OffDiagonalColor property, normalized to the largest cell value of the confusion matrix chart. Cells with positive values are colored with a minimum amount of color, proportional to the OffDiagonalColor property.

RGB triplets and hexadecimal color codes are useful for specifying custom colors.

• An RGB triplet is a three-element row vector whose elements specify the intensities of the red, green, and blue components of the color. The intensities must be in the range [0,1]; for example, [0.4 0.6 0.7].

• A hexadecimal color code is a character vector or a string scalar that starts with a hash symbol (#) followed by three or six hexadecimal digits, which can range from 0 to F. The values are not case sensitive. Thus, the color codes "#FF8800", "#ff8800", "#F80", and "#f80" are equivalent.

Alternatively, you can specify some common colors by name. This table lists the named color options, the equivalent RGB triplets, and hexadecimal color codes.

Color Name	Short Name	RGB Triplet	Hexadecimal Color Code	Appearance
"red"	"r"	[1 0 0]	"#FF0000"
"green"	"g"	[0 1 0]	"#00FF00"
"blue"	"b"	[0 0 1]	"#0000FF"
"cyan"	"c"	[0 1 1]	"#00FFFF"
"magenta"	"m"	[1 0 1]	"#FF00FF"
"yellow"	"y"	[1 1 0]	"#FFFF00"
"black"	"k"	[0 0 0]	"#000000"
"white"	"w"	[1 1 1]	"#FFFFFF"

This table lists the default color palettes for plots in the light and dark themes.

Palette	Palette Colors
"gem" — Light theme default Before R2025a: Most plots use these colors by default.
"glow" — Dark theme default

You can get the RGB triplets and hexadecimal color codes for these palettes using the orderedcolors and rgb2hex functions. For example, get the RGB triplets for the "gem" palette and convert them to hexadecimal color codes.

RGB = orderedcolors("gem");
H = rgb2hex(RGB);

Before R2023b: Get the RGB triplets using RGB = get(groot,"FactoryAxesColorOrder").

Before R2024a: Get the hexadecimal color codes using H = compose("#%02X%02X%02X",round(RGB*255)).

The software chooses an appropriate text color for cell labels automatically, depending on the color of the chart cells.

Example: cm = confusionchart(__,'OffDiagonalColor','blue')

Example: cm.OffDiagonalColor = 'blue'

FontColor — Text color for title, axis labels, and class labels

[0.1500 0.1500 0.1500] (default) | RGB triplet | hexadecimal color code | 'r' | 'g' | 'b' | ...

Text color for title, axis labels, and class labels, specified as an RGB triplet, a hexadecimal color code, a color name, or a short name.

RGB triplets and hexadecimal color codes are useful for specifying custom colors.

• An RGB triplet is a three-element row vector whose elements specify the intensities of the red, green, and blue components of the color. The intensities must be in the range [0,1]; for example, [0.4 0.6 0.7].

• A hexadecimal color code is a character vector or a string scalar that starts with a hash symbol (#) followed by three or six hexadecimal digits, which can range from 0 to F. The values are not case sensitive. Thus, the color codes "#FF8800", "#ff8800", "#F80", and "#f80" are equivalent.

Alternatively, you can specify some common colors by name. This table lists the named color options, the equivalent RGB triplets, and hexadecimal color codes.

Color Name	Short Name	RGB Triplet	Hexadecimal Color Code	Appearance
"red"	"r"	[1 0 0]	"#FF0000"
"green"	"g"	[0 1 0]	"#00FF00"
"blue"	"b"	[0 0 1]	"#0000FF"
"cyan"	"c"	[0 1 1]	"#00FFFF"
"magenta"	"m"	[1 0 1]	"#FF00FF"
"yellow"	"y"	[1 1 0]	"#FFFF00"
"black"	"k"	[0 0 0]	"#000000"
"white"	"w"	[1 1 1]	"#FFFFFF"

This table lists the default color palettes for plots in the light and dark themes.

Palette	Palette Colors
"gem" — Light theme default Before R2025a: Most plots use these colors by default.
"glow" — Dark theme default

You can get the RGB triplets and hexadecimal color codes for these palettes using the orderedcolors and rgb2hex functions. For example, get the RGB triplets for the "gem" palette and convert them to hexadecimal color codes.

RGB = orderedcolors("gem");
H = rgb2hex(RGB);

Before R2023b: Get the RGB triplets using RGB = get(groot,"FactoryAxesColorOrder").

Before R2024a: Get the hexadecimal color codes using H = compose("#%02X%02X%02X",round(RGB*255)).

The software chooses an appropriate text color for cell labels automatically, depending on the color of the chart cells.

Example: cm = confusionchart(__,'FontColor','blue')

Example: cm.FontColor = 'blue'

Font

FontName — Font name

system supported font name

Font name, specified as a system supported font name. The default font depends on the specific operating system and locale.

Example: cm = confusionchart(__,'FontName','Cambria')

Example: cm.FontName = 'Cambria'

FontSize — Font size

positive scalar

Font size used for the title, axis labels, class labels, and cell labels, specified as a positive scalar. The default font depends on the specific operating system and locale.

The title and axis labels use a slightly larger font size (scaled up by 10%). If there is not enough room to display the cell labels within the cells, then the cell labels use a smaller font size. If the cell labels become too small, then they are hidden.

Example: cm = confusionchart(__,'FontSize',12)

Example: cm.FontSize = 12

Position

PositionConstraint — Position to hold constant

"outerposition" | "innerposition"

Position property to hold constant when adding, removing, or changing decorations, specified as one of the following values:

• "outerposition" — The OuterPosition property remains constant when you add, remove, or change decorations such as a title or an axis label. If any positional adjustments are needed, MATLAB adjusts the InnerPosition property.

• "innerposition" — The InnerPosition property remains constant when you add, remove, or change decorations such as a title or an axis label. If any positional adjustments are needed, MATLAB adjusts the OuterPosition property.

Note

Setting this property has no effect when the parent container is a TiledChartLayout object.

OuterPosition — Outer size and position

[0 0 1 1] (default) | four-element vector

Outer size and position within the parent container (a figure, panel, or tab), specified as a four-element vector of the form [left bottom width height]. The outer position includes the title, axis labels, and class labels.

• The left and bottom elements define the distance from the lower left corner of the container to the lower left corner of the chart.

• The width and height elements are the chart dimensions, which include the chart cells, plus a margin for the surrounding text.

The default value of [0 0 1 1] is the whole interior of the container.

By default, the values are normalized to the container. To change the units, set the Units property.

Example: cm = confusionchart(__,'OuterPosition',[0.1 0.1 0.8 0.8])

Example: cm.OuterPosition = [0.1 0.1 0.8 0.8]

InnerPosition — Inner size and position

[0.1300 0.1100 0.7750 0.8150] (default) | four-element vector

Inner size and position of the chart within the parent container (a figure, panel, or tab) returned as a four-element vector of the form [left bottom width height]. The inner position does not include the title, axis labels, or class labels.

• The left and bottom elements define the distance from the lower left corner of the container to the lower left corner of the chart.

• The width and height elements are the chart dimensions, which include only the chart cells.

Example: cm = confusionchart(__,'InnerPosition',[0.1 0.1 0.8 0.8])

Example: cm.InnerPosition = [0.1 0.1 0.8 0.8]

Position — Inner size and position

four-element vector

Inner size and position of the chart within the parent container (a figure, panel, or tab) returned as a four-element vector of the form [left bottom width height]. This property is equivalent to the InnerPosition property.

Units — Position units

'normalized' (default) | 'inches' | 'centimeters' | 'points' | 'pixels' | 'characters'

Position units, specified as one of these values:

Units	Description
'normalized'	Normalized with respect to the container, which is typically the figure or a panel. The lower left corner of the container maps to (0,0), and the upper right corner maps to (1,1).
'inches'	Inches.
'centimeters'	Centimeters.
'characters'	Based on the default uicontrol font of the graphics root object: Character width = width of letter x. Character height = distance between the baselines of two lines of text.
'points'	Typography points. One point equals 1/72 inch.
'pixels'	Pixels. On Windows® and Macintosh systems, the size of a pixel is 1/96th of an inch. This size is independent of your system resolution. On Linux® systems, the size of a pixel is determined by your system resolution.

When specifying the units as a name-value pair during object creation, you must set the Units property before specifying the properties that you want to use these units for, such as OuterPosition.

Layout — Layout options

empty LayoutOptions array (default) | TiledChartLayoutOptions object | GridLayoutOptions object

Layout options, specified as a TiledChartLayoutOptions or GridLayoutOptions object. This property is useful when the chart is either in a tiled chart layout or a grid layout.

To position the chart within the grid of a tiled chart layout, set the Tile and TileSpan properties on the TiledChartLayoutOptions object. For example, consider a 3-by-3 tiled chart layout. The layout has a grid of tiles in the center, and four tiles along the outer edges. In practice, the grid is invisible and the outer tiles do not take up space until you populate them with axes or charts.

This code places the chart c in the third tile of the grid.

c.Layout.Tile = 3;

To make the chart span multiple tiles, specify the TileSpan property as a two-element vector. For example, this chart spans 2 rows and 3 columns of tiles.

c.Layout.TileSpan = [2 3];

To place the chart in one of the surrounding tiles, specify the Tile property as "north", "south", "east", or "west". For example, setting the value to "east" places the chart in the tile to the right of the grid.

c.Layout.Tile = "east";

To place the chart into a layout within an app, specify this property as a GridLayoutOptions object. For more information about working with grid layouts in apps, see uigridlayout.

If the chart is not a child of either a tiled chart layout or a grid layout (for example, if it is a child of a figure or panel) then this property is empty and has no effect.

Visible — State of visibility

'on' (default) | on/off logical value

State of visibility, specified as 'on' or 'off', or as numeric or logical 1 (true) or 0 (false). A value of 'on' is equivalent to true, and 'off' is equivalent to false. Thus, you can use the value of this property as a logical value. The value is stored as an on/off logical value of type matlab.lang.OnOffSwitchState.

• 'on' — Display the chart.

• 'off' — Hide the chart without deleting it. You still can access the properties of an invisible chart.

Parent/Child

Parent — Parent container

Figure object | Panel object | Tab object | TiledChartLayout object | GridLayout object

Parent container, specified as a Figure, Panel, Tab, TiledChartLayout, or GridLayout object.

HandleVisibility — Visibility of object handle

'on' (default) | 'off' | 'callback'

Visibility of the chart object handle in the Children property of the parent, specified as one of these values:

• 'on' — Object handle is always visible.

• 'off' — Object handle is invisible at all times. This option is useful for preventing unintended changes to the UI by another function. To temporarily hide the handle during the execution of that function, set the HandleVisibility to 'off'.

• 'callback' — Object handle is visible from within callbacks or functions invoked by callbacks, but not from within functions invoked from the command line. This option blocks access to the object at the command line, but allows callback functions to access it.

If the object is not listed in the Children property of the parent, then functions that obtain object handles by searching the object hierarchy or querying handle properties cannot return it. This includes get, findobj, gca, gcf, gco, newplot, cla, clf, and close.

Hidden object handles are still valid. Set the root ShowHiddenHandles property to 'on' to list all object handles, regardless of their HandleVisibility property setting.

Version History

Introduced in R2018b

R2025a: Customize confusion chart display

You can now customize the titles and labels of ConfusionMatrixChart objects:

• Specify labels for the row (y-axis) and column (x-axis) values using the RowDisplayLabels and ColumnDisplayLabels properties.

• Interpret text labels, such as titles and axis labels, with TeX markup, LaTeX markup, or no markup using the Interpreter property.

  Before R2025a: All confusion charts have the interpreter set to 'tex' for title and axis labels and 'none' for tick labels.

• Display labels for the true positive rate (TPR), false negative rate (FNR), positive predictive value (PPV), and false discovery rate (FDR) on the row and column summaries using the SummaryLabelsVisible property.