Retrieve the confusion chart data from a single source. A confusion chart consists of the
confusion matrix for all classes, classes frequencies and oneVsAll metrics for all
classes. The confusion matrix can be requested in a particular sort order and orientated
by rows or columns. A subset of the confusion matrix can also be requested in part by
specifying slicing indices. Throughout the following specification, C refers to the
total number of classes in the dataset. The full confusion matrix refers to the confusion
matrix with C classes.
.. note:: Available for multiclass projects only.
An example on the meaning of wasActualPercentages and wasPredictedPercentages:
Let's say we have the following data:
.. code-block:: js
classMetrics.classA.wasActualPercentages.percentage = 0.56
classMetrics.classA.wasPredictedPercentages.percentage = 0.62
classA.wasActualPercentages.otherClassName = "classB"
classA.wasPredictedPercentages.otherClassName = "classB"
1) "Given that it was actually classA, it predicted classB 56% of the time".
2) "Given that classA was predicted, it was actually classB 62% of the time".
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