Confusion Matrix

The confusion matrix displays the model confusion between each pair of intents. The confusion is defined as the number of utterances with a given label that are predicted as another label.

The toggle "Normalize" in the top right corner allows alternating between normalized and raw values. When normalized, the number of utterances is divided by to the total number of utterances with the given label.

Outcome colors

The prediction outcome colors are shown on the confusion matrix.

Example

In this example, 55% of utterances labeled as bill_due were predicted as bill_balance.