I would like to understand how to create a way to redirect the conversation to the anything_else node when confidence is lower then a established limit.
I am creating a node triggered by intents[0].confidence < 0.5 that jumps to the anything_else answer.
So if I enter a value "huaiuhsuskunwku" it recognizes as the intent #greetings and do redirect its node.
Any idea why it is recognizing it as a greeting in the first place?
And how can I configure it properly?
Two things here:
1a. Before the newest API was released, which is still beta, we used what is called a relational classifier. Meaning it checks all the classes available, and will do its best to fit it into the most similar one. So I would assume you have relatively few intents, and each intent has only a handful of samples. There are too many features in the algorithm to point to one specifically, but its finding some features that make it think it is part of that class.
1b. You should create a class for off-topic that just includes a bunch of things you dont want to respond to. This essentially helps balance out the existing classes so it knows it is NOT your main classes. You wont need any dialog nodes for this, the off-topic class simply helps it fall to anything else as you want
2. Just this week we have released an update to the API. This changes it to an absolute classifier so scoring is handled differently now. Each class is evaluated on its own. We have also included a built in off-topic handler to help weed out gibberish like this. See the docs here:
https://www.ibm.com/watson/developercloud/doc/conversation/release-notes.html