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 ...

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The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, such as "red," "yellow" or "green" for a traffic signal. This article ...

A multi-class classification model usually outputs a vector of probability scores ... For binary classification, you can use metrics such as accuracy, precision, recall, F1-score, ROC curve, or AUC.

Cryptosystems, even after recent algorithmic improvements, can be vulnerable to side-channel attacks (SCA). In this paper, we investigate one of the powerful class of SCAs based on machine learning ...

These methods facilitate the integration of varied data types for predictive tasks like regression, binary classification, and multi-class classification. For instance, whether predicting age based on ...