Multiclass Classification
Data Format In DB
id
feature1 (numeric)
feature2 (boolean)
prediction (category)
label (category)
timestamp (datetime)
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Multiclass classification models predict one of more than two outcomes. In Aporia, these models are represented with the multiclass model type.
Examples of multiclass classification problems:
Is this product a book, movie, or clothing?
Is this movie a romantic comedy, documentary, or thriller?
Which category of products is most interesting to this customer?
If you have a model with one category prediction, then your database may look like the following:
1
13.5
True
Cat
Cat
2014-10-19 10:23:54
2
-8
False
Dog
Cat
2014-10-19 10:24:24
To integrate this type of model follow our Quickstart, and during the schema mapping remember to include a categorical prediction field and categorical actual field and linked them together.
Check out the data sources section for more information about how to connect from different data sources.
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