[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-07-09。"],[],[],null,["The graph below plots 20 examples from a fuel-efficiency dataset, with the\nfeature (car heaviness in thousands of pounds) plotted on the x-axis and the\nlabel (miles per gallon) plotted on the y-axis.\n\n**Your task:** Adjust the **Weight** and **Bias** sliders above the graph to\nfind the linear model that minimizes MSE loss on the data.\n\n**Questions to consider:**\n\n- What is the lowest MSE you can achieve?\n- What weight and bias values produced this loss?\n\nClick the plus icon to see the solution \nThe optimal linear model for this data has an MSE of 3.37, with a\nweight of --0.12 and a bias of 16.96, as shown in the following image."]]