So, what we can do with the Platform?
General organization's settings
Adding a Telegram channel
Adding a Web channel
Creating a Script to use the Web Channel
Adding Viber channel
Adding a Facebook Channel
Adding a Twitter channel
How a SMS Integration Works
Contacts and Messages
Select a Message to Schedule for Later
Adding Media to the message
Static and Dynamic Groups
Flow editor and tools
Call Webhook: Making requests to external services
Split by Intent: Using Classifiers
Import and export flows
Expressions and Variables
Triggers and Campaigns
Adding a trigger
Tell a flow to ignore triggers and keywords
How to create a Campaign
Creating an Intelligence
Managing your team
Intents and Entities
Table of Contents
The test functionality in Bothub was created to evaluate your Training data in a automatic way. Users can add sentences that's outside the training data to evaluate the quality of the training data or algorithm selected.
Precision and recall reports
A perfect precision score of 1.0 means that every test result was positive (but says nothing about whether all positive results were retrieved) whereas a perfect recall score of 1.0 means that all positive results were retrieved by the search (but says nothing about how many false positives were also retrieved).
Intent confusion matrix
The confusion matrix shows you which intents are mistaken for others.
Intent confidence distribution
The histogram allows you to visualize the confidence distribution for all predictions, with the volume of correct and incorrect predictions being displayed by green and red bars respectively. Improving the quality of your training data will move the green histogram bars to the right and the red histogram bars to the left of the plot.