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a guest May 24th, 2019 64 Never
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  1. Linear regression.
  2. [Facebook] RMSE: 664.1011224268102
  3. [Facebook] R^2: 0.013521214179805008
  4. [GooglePlus] RMSE: 20.39986222623975
  5. [GooglePlus] R^2: 0.005860464236229657
  6. [LinkedIn] RMSE: 98.31866519340444
  7. [LinkedIn] R^2: 0.001350236016830486
  8.  
  9. Polynomial regression, degree = 2.
  10. [Facebook] RMSE: 662.4072650867852
  11. [Facebook] R^2: 0.01854702517889739
  12. [GooglePlus] RMSE: 20.336481305037495
  13. [GooglePlus] R^2: 0.012028309479154897
  14. [LinkedIn] RMSE: 98.24156233242569
  15. [LinkedIn] R^2: 0.0029159318492958386
  16.  
  17. Polynomial regression, degree = 3.
  18. [Facebook] RMSE: 656.7965896385655
  19. [Facebook] R^2: 0.03510268068137912
  20. [GooglePlus] RMSE: 20.32247017285454
  21. [GooglePlus] R^2: 0.013389197157252175
  22. [LinkedIn] RMSE: 98.15982241858943
  23. [LinkedIn] R^2: 0.004574449039282835
  24.  
  25. Polynomial regression, degree = 4.
  26. [Facebook] RMSE: 657.0556747659788
  27. [Facebook] R^2: 0.034341288629486044
  28. [GooglePlus] RMSE: 20.32892537590358
  29. [GooglePlus] R^2: 0.012762326064028384
  30. [LinkedIn] RMSE: 98.30736158440001
  31. [LinkedIn] R^2: 0.0015798505571963384
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