See number (2) at the answer at https://www.mathworks.com/matlabcentral/answers/321904-how-to-export-performance-measures-from-the-classificaiton-learner-app
"(2) To export confusion matrices from Classification Learner, you can use the "Export Plot to Figure" option. Next, at the command line, with the current figure showing the confusion matrix exported from Classification Learner, use "cm=gca;" to get a variable "cm" representing the ConfusionMatrixChart object. From the ConfusionMatrixChart object, the metrics of interest (TPR, FNR, PPV, FDR) for the primary matrix can be accessed from the NormalizedValues property. Alternately, to reproduce Classification Learner confusion matrix plots at the command line, use confusionchart (introduced in 18b). Set the Normalization, RowSummary, and ColumnSummary properties to get the metrics of interest."
See the answer linked above for an image and some example code.
