{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Binary Classification — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Binary Classification</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A classification task where each example must be assigned to one of two possible classes, such as spam or not spam, fraud or not fraud, or positive or negative. Binary classification is one of the most common machine learning setups and the basis for many evaluation metrics like precision, recall, and roc-curve.</p><a href=\"https://gaks.ai/glossary/binary-classification\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/binary-classification →</a></div>"}