Multiclass Classification in Supervised Learning
What is Multiclass Classification? Multiclass Classification is a type of Supervised Learning used to predict which of several possible categories an observation belongs to. Similar to regression and binary classification, it follows the same training, validation, and evaluation iterative process, reserving a portion of the data for validating the model. Examples Predicting email categories (spam … Read more