This notebook demonstrates a multiclass classification model using the Borne Disease dataset. The dataset consists of several features related to different borne diseases, and the task is to classify each observation into one of the multiple classes of diseases.
The Borne Disease dataset contains information on several types of diseases, including Chikungunya, Dengue, Japanese encephalitis, Lyme disease, Malaria, Plague, Rift Valley fever, Tungiasis, West Nile fever, Yellow Fever, and Zika.