The Positive class lets you select the particular class that is considered positive.
The positive class is given the numerical value
1 in the model, or
True in the predictions table.
The other class is given the value
The Movie review feelings tutorial classifies written reviews as
To answer the question "Was the viewer happy about the movie?", you can set the
positive sentiment as the Positive class.
Examples in your dataset will be considered positive if they are identified as belonging to the
When to use binary encoding
If you’re working with multi-label classification all target features must use binary encoding.
This is because an example in multi-label classification can
belong to or
not belong to a class, that is, binary.
In the tutorial Build your own music critic all image label is a binary encoded feature. The song can be both
When you only have 2 classes
Use binary encoding when a feature is categorical but has only two classes.
Use binary encoding when working with one-hot encoding.