Visual Studio Magazine

Binary Classification Using LightGBM

A binary classification problem is one where the goal is to predict a discrete variable that has exactly two possible values. For example, you might want to predict a person's sex (male or female) ...
Visual Studio Magazine

Binary Classification Using a scikit Neural Network

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...
JSTOR Daily

Principal weighted support vector machines for sufficient dimension reduction in binary classification

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...
EurekAlert!

The passenger motion sickness binary classification model includes EEG and ECG inputs, EEG temporal and spatial convolution modules, multi-attention module, ECG feature ...

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Science Daily

Machine learning sees into the future to prevent sight loss in humans

Researchers developed machine-learning models to predict visual acuity in patients with high myopia. A cohort study of 967 patients was used to evaluate the models. The results show that a regression ...