{"version":"1.0","type":"rich","title":"Gist 5679d9c117e4713bbd72f666306c2ba9","description":"This example demonstrates linear regression on a small dataset, plotting training and testing points to show the relationship between the input and output variables. The code uses NumPy arrays to store the data and computes a best-fit line, though the plotting itself is not shown in the provided snippet. The visualization would typically be rendered with a library like Matplotlib, displaying the data points and the fitted line to illustrate prediction accuracy. The dataset is explicitly defined in the file, with separate training and testing sets.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-5679d9c117e4713bbd72f666306c2ba9?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}