Verifying that a trainable classifier is performing properly
Verification of a classifier is important to make sure that data does not get classified in an incorrect manner. To make sure that your classifier is doing what it is supposed to, follow the steps outlined here.
To verify our trainable classifier, we could go back to the list in the previous section and look at steps 8-12. Here, we will have to give our take on what the classifier has identified. Does it behave as we configured it to?
- Go to your classifier and test it on new content.
Figure 4.20 – Does the classifier identify relevant data?
- Make sure to add your input for whether the data is relevant.
Figure 4.21 – Click on Yes if the data is relevant, No if not
- Simply put, we let our classifier scour through even more data and make our decisions based on the assumptions from the classifier. If there are errors or data gets classified...
