An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

[Click on image for larger view.] Figure 1: LightGBM Multi-Class Classification in Action. There are 200 items in the training dataset and 40 items in a test dataset. Each line represents a person.