{"version":"1.0","type":"rich","title":"SVM","description":"This example demonstrates a support vector machine (SVM) classifier using the SMO algorithm. Two-dimensional labeled data points (class 1 and class 2) from a JSON file are plotted as colored circles, with D3 scales mapping coordinates to an SVG canvas. Three decision boundary lines are drawn using `d3.svg.line()`, showing the separating hyperplane and its margins based on the computed weight vector and bias. The visualization relies on D3 v3 and a custom SMO implementation for training.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d0413c2992e941978a0d5848cd330716?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}