Database Reference
In-Depth Information
A simple multiclass classification problem
Classification is a form of supervised learning where we train a model with training ex-
amples that include known targets or outcomes of interest (that is, the model is supervised
with these example outcomes). Classification models can be used in many situations, but a
few common examples include:
• Predicting the probability of Internet users clicking on an online advert; here, the
classes are binary in nature (that is, click or no click)
• Detecting fraud; again, in this case, the classes are commonly binary (fraud or no
fraud)
• Predicting defaults on loans (binary)
