{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Decision Boundary — 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;\">Decision Boundary</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">The threshold or dividing line a classification model uses to separate different categories in its input space. For a model classifying emails as spam or not, the decision boundary is the point at which the model tips from one prediction to the other. The shape and position of the boundary determine how the model behaves across the full range of possible inputs.  See also: classification, confusion matrix, overfitting.</p><a href=\"https://gaks.ai/glossary/decision-boundary\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/decision-boundary →</a></div>"}