Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

A general framework is presented for data analysis of latent finite partially ordered classification models. When the latent models are complex, data analytic validation of model fits and of the ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

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Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

THOMASTON — Educators from across Georgia gathered at the GHSA offices Friday morning to discuss an objective that would seem difficult to oppose — arranging the association’s seven classifications to ...