👉 Multiplepoinding is a type of machine learning algorithm that allows for the prediction of multiple different classes or categories within a dataset. It involves training a model on multiple datasets, each with its own set of features and labels, to predict the class label of new data points. This method has been used in various fields such as image recognition, speech recognition, and natural language processing.
