Machine learning model

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Thanks @Nimish_Khandelwal.

In addition to Tom’s feedback:

  • I would recommend label each axis so that each plot can easily be understood
  • assuming you plotted residuals on y axis and the feature on the x axis: your residuals show a clear pattern: this means e.g. with feature engineering you can incorporate that systematic information into your model. The goal should be that the residuals do not show any systematic dependency from your features afterwards - ideally you just see random noise, something like that: https://global.discourse-cdn.com/dlai/original/3X/c/0/c0b9819ef070619a63cffc64b637c1dd598074e8.jpeg

see also this thread: True vs predicted values biased-intercept - #4 by Christian_Simonis

Best regards
Christian

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