Note that the common "logistic regression" machine learning technique is a binary classification system in spite of its name. There are many different techniques available to create a regression model ...

The paper presents how solving regression problems can be posed as finding solutions to multiclass classification tasks. The accuracy (averaged over several benchmarking data sets used in this study) ...

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Abstract Counterfactual explanations (CEs) aim to enhance the interpretability of machine ...

Therefore, the present study aims at predicting the expert generated CAFPA labels using three different machine learning models, namely the lasso regression, elastic nets, and random forests.

We propose a novel framework for the classification of single trial ElectroEncephaloGraphy (EEG), based on regularized logistic regression. Framed in this robust statistical framework no prior feature ...

The course contains five topics, including (1) principles of statistical analysis, including data preparation, statistical models, regression and classification, inference, prediction, and ...