JS precision, recall and F1 calculation library
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Updated
May 1, 2018 - JavaScript
JS precision, recall and F1 calculation library
A comprehensive machine learning web application for diabetes prediction, featuring real-time model evaluation and interactive performance visualization. This platform combines modern ML techniques with an intuitive interface to help analyze diabetes risk factors and make predictions.
A responsive web dashboard built with React that displays detailed Formula One data including drivers, lap times, car information, and race locations. The app fetches data from the OpenF1 API, a free and public Formula One data source, to provide up-to-date statistics and insights.
A streamlined and easy-to-use AI performance evaluation / summary template with modern UI in HTML, including correct percentage chart and comparison with other models, precision, recall, F1-score, and confusion matrix. Enables you to create the result chart within 3 minutes.
Welcome to Apex F1. I built this project for one simple reason: I love Formula 1. This is a modern, responsive Single Page Application (SPA) built to visualize Formula 1 data. It's not just a list of numbers; it's designed to look and feel like a premium F1 product.
⚙️ Streamline AI performance evaluation with a user-friendly HTML template for quick charts and model comparisons in just minutes.
Open Formula 1 Analytics for Everyone
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