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Create confusion matrix chart for classification problem

`cm = confusionchart(trueLabels,predictedLabels)`

`cm = confusionchart(m)`

`cm = confusionchart(m,classLabels)`

`cm = confusionchart(parent,___)`

`cm = confusionchart(___,Name,Value)`

creates a confusion matrix chart from true labels `cm`

= confusionchart(`trueLabels`

,`predictedLabels`

)`trueLabels`

and
predicted labels `predictedLabels`

and returns a
`ConfusionMatrixChart`

object. The rows of the confusion matrix
correspond to the true class and the columns correspond to the predicted class. Diagonal
and off-diagonal cells correspond to correctly and incorrectly classified observations,
respectively. Use `cm`

to modify the confusion matrix chart after it is
created. For a list of properties, see ConfusionMatrixChart Properties.

creates a confusion matrix chart from the numeric confusion matrix `cm`

= confusionchart(`m`

)`m`

.
Use this syntax if you already have a numeric confusion matrix in the workspace.

specifies class labels that appear along the `cm`

= confusionchart(`m`

,`classLabels`

)*x*-axis and
*y*-axis. Use this syntax if you already have a numeric
confusion matrix and class labels in the workspace.

creates the confusion chart in the figure, panel, or tab specified by
`cm`

= confusionchart(`parent`

,___)`parent`

.

specifies additional `cm`

= confusionchart(___,`Name,Value`

)`ConfusionMatrixChart`

properties using one or
more name-value pair arguments. Specify the properties after all other input arguments.
For a list of properties, see ConfusionMatrixChart Properties.

If you have Statistics and Machine Learning Toolbox™, you can create a confusion matrix chart for tall arrays. For details, see

`confusionchart`

and Confusion Matrix for Classification Using Tall Arrays (Statistics and Machine Learning Toolbox).