{"version":"1.0","type":"rich","title":"Gist cfc8c25355ee6cf7e972cc74974aa369","description":"The visualization plots the expected F1-score against the threshold k for a binary classification problem, comparing predictions that include a \"None\" label versus those without it. It uses a dynamic programming algorithm to compute expectations, then marks the optimal k with a black dot and annotation. The code generates the plot with pandas DataFrame plotting and matplotlib's pyplot, using the ggplot style, and also includes a separate benchmark chart showing quadratic runtime scaling for the expectation maximization process.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-cfc8c25355ee6cf7e972cc74974aa369?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}