Multi-class Mental Task Classification Using Statistical ... and Quadratic Discriminant Analysis Classifiers Abstract: Five mental tasks, baseline, multiplication, letter-composing, rotation, and ...

Sentiment analysis refers to the automatic collection, aggregation, and classification of data collected online into different emotion classes. While most of the work related to sentiment analysis of ...

Implementation of multi-class probabilistic classification using inductive and cross Venn–Abers predictors described in Multi-class probabilistic classification using inductive and cross Venn–Abers ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

A multi-class classification problem is one where the goal is to predict the value of a variable where there are three or more discrete possibilities. For example, you might want to predict the ...

Multi-class classification: We are categorizing emails into six distinct classes. Multinomial Naïve Bayes supports multi-class classification out of the box, making it a clean fit for this problem.