Package provides javascript implementation of linear regression and logistic regression
Package provides javascript implementation of support vector machines
DiaScore is a full-stack application for diabetes risk estimation. The core backend logic includes the ML model and preprocessing pipeline. The project is built as an end-to-end system: data preparation, model training, inference, API integration, and UI for patient-facing prediction history.
Neural Networks can learn (almost!) anything.
DiaMetrics_DE is the German version of Diametrics: a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
DiaMetrics is a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
Solve binary and multi-class classification problem
Credit risk prediction lab built with TensorFlow.js, Node.js and a multilayer perceptron neural network.
To associate your repository with the binary-classification topic, visit your repo's landing page and select "manage topics."