Performance metrics in classification are fundamental in assessing the quality of learning
methods and learned models. However, many different measures have been defined in the …

Many performance metrics have been introduced in the literature for the evaluation of
classification performance, each of them with different origins and areas of application …

Abstract Machine learning models have been widely used in numerous classification
problems and performance measures play a critical role in machine learning model …

Several performance metrics are currently available to evaluate the performance of Machine
Learning (ML) models in classification problems. ML models are usually assessed using a …

The selection of the best classification algorithm for a given dataset is a very widespread
problem. It is also a complex one, in the sense it requires to make several important …

Performance evaluation of supervised classification learning method related to its prediction
ability on independent data is very important in machine learning. It is also almost …

This paper gives an overview of some ways in which our understanding of performance
evaluation measures for machine-learned classifiers has improved over the last twenty …

The evaluation of classifiers' performances plays a critical role in construction and selection
of classification model. Although many performance metrics have been proposed in …

In this note we use examples from the literature to illustrate some poor practices in
assessing the performance of supervised classification rules, and we suggest guidelines for …

The evaluation of classification performance is crucial for algorithm and model selection.
However, a performance measure for multiclass classification problems (ie, more than two …