output.txt 1.8 KB

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  1. mu = 12.02 and sigma = 0.40
  2. Total Percent
  3. PoolQC 2908 0.996915
  4. MiscFeature 2812 0.964004
  5. Alley 2719 0.932122
  6. Fence 2346 0.804251
  7. FireplaceQu 1420 0.486802
  8. LotFrontage 486 0.166610
  9. GarageCond 159 0.054508
  10. GarageQual 159 0.054508
  11. GarageYrBlt 159 0.054508
  12. GarageFinish 159 0.054508
  13. GarageType 157 0.053822
  14. BsmtCond 82 0.028111
  15. BsmtExposure 82 0.028111
  16. BsmtQual 81 0.027768
  17. BsmtFinType2 80 0.027425
  18. BsmtFinType1 79 0.027083
  19. MasVnrType 24 0.008228
  20. MasVnrArea 23 0.007885
  21. MSZoning 4 0.001371
  22. BsmtHalfBath 2 0.000686
  23. Functional 2 0.000686
  24. BsmtFullBath 2 0.000686
  25. BsmtFinSF2 1 0.000343
  26. BsmtUnfSF 1 0.000343
  27. BsmtFinSF1 1 0.000343
  28. Exterior2nd 1 0.000343
  29. TotalBsmtSF 1 0.000343
  30. Exterior1st 1 0.000343
  31. SaleType 1 0.000343
  32. Electrical 1 0.000343
  33. KitchenQual 1 0.000343
  34. GarageCars 1 0.000343
  35. GarageArea 1 0.000343
  36. Skew in numerical features:
  37. Skew
  38. MiscVal 21.939672
  39. PoolArea 17.688664
  40. LotArea 13.109495
  41. LowQualFinSF 12.084539
  42. 3SsnPorch 11.372080
  43. BsmtFinSF2 4.144503
  44. EnclosedPorch 4.002344
  45. ScreenPorch 3.945101
  46. BsmtHalfBath 3.929996
  47. MasVnrArea 2.610847
  48. ElasticNetCV(alphas=[0.0001, 0.0005, 0.001, 0.01, 0.1, 1, 10], copy_X=True,
  49. cv=None, eps=0.001, fit_intercept=True,
  50. l1_ratio=[0.01, 0.1, 0.5, 0.9, 0.99], max_iter=5000, n_alphas=100,
  51. n_jobs=1, normalize=False, positive=False, precompute='auto',
  52. random_state=None, selection='cyclic', tol=0.0001, verbose=0)
  53. R2: 0.934610448888773
  54. RMSE: 0.0970547802317818
  55. RMSLE: 0.007557294382084968
  56. Test
  57. R2: 0.9242992488043092
  58. RMSE: 0.10761684375977575
  59. RMSLE: 0.008467978416912169
  60. Accuracy: 0.92 (+/- 0.02)