目录
利用多个算法模型(LassoR、KernelRidgeR、ElasticNetR、GBR、LGBMR、XGBR)对对国内某平台上海2020年6月份房价数据集【12+1】进行回归预测(包括特征工程)
相关文章
ML之FE：利用【数据分析+数据处理】算法对国内某平台上海2020年6月份房价数据集【12+1】进行特征工程处理(史上最完整，建议收藏)
ML之FE：利用【数据分析+数据处理】算法对国内某平台上海2020年6月份房价数据集【12+1】进行特征工程处理实现
ML之FE：利用【数据分析+数据处理】算法对国内某平台上海2020年6月份房价数据集【12+1】进行特征工程处理(史上最完整，建议收藏)——附录
ML之FE：利用【数据分析+数据处理】算法对国内某平台上海2020年6月份房价数据集【12+1】进行特征工程处理实现
ML之回归预测：利用多个算法模型(LassoR、KernelRidgeR、ElasticNetR、GBR、LGBMR、XGBR)对国内某平台上海2020年6月份房价数据集【12+1】进行回归预测
ML之回归预测：利用多个算法模型(LassoR、KernelRidgeR、ElasticNetR、GBR、LGBMR、XGBR)对国内某平台上海2020年6月份房价数据集【12+1】进行回归预测实现
利用多个算法模型(LassoR、KernelRidgeR、ElasticNetR、GBR、LGBMR、XGBR)对对国内某平台上海2020年6月份房价数据集【12+1】进行回归预测(包括特征工程)
1、LassoR
1. LassoR-0.5 Score value: -0.0005055552395767382 2. LassoR-0.5 R2 value: -0.0005055552395767382 3. LassoR-0.5 MAE value: 0.09939996261234317 4. LassoR-0.5 MSE value: 0.015779522350425033 5. 6. LassoR-0.05 Score value: 0.5022404879755265 7. LassoR-0.05 R2 value: 0.5022404879755265 8. LassoR-0.05 MAE value: 0.07037495216160995 9. LassoR-0.05 MSE value: 0.007850438514802703 10. 11. LassoR-0.01 Score value: 0.9688284646643495 12. LassoR-0.01 R2 value: 0.9688284646643495 13. LassoR-0.01 MAE value: 0.017225365757314693 14. LassoR-0.01 MSE value: 0.0004916233957423449 15. 16. LassoR-0.005 Score value: 0.9837696043172183 17. LassoR-0.005 R2 value: 0.9837696043172183 18. LassoR-0.005 MAE value: 0.012281723604764734 19. LassoR-0.005 MSE value: 0.0002559784801708263 20. 21. LassoR-0.001 Score value: 0.9898771362261237 22. LassoR-0.001 R2 value: 0.9898771362261237 23. LassoR-0.001 MAE value: 0.009067394814047579 24. LassoR-0.001 MSE value: 0.00015965324163736406 25. 26. LassoR-0.0001 Score value: 0.9942215817581104 27. LassoR-0.0001 R2 value: 0.9942215817581104 28. LassoR-0.0001 MAE value: 0.0067102545940495514 29. LassoR-0.0001 MSE value: 9.113460622032017e-05 30. 31. 32. 33. 34. [-0.0005055552395767382, 0.5022404879755265, 0.9688284646643495, 0.9837696043172183, 0.9898771362261237, 0.9942215817581104]
2、KernelRidgeR
1. KernelRidgeR-0.5 Score value: 0.9544414613254653 2. KernelRidgeR-0.5 R2 value: 0.9544414613254653 3. KernelRidgeR-0.5 MAE value: 0.020348726878028075 4. KernelRidgeR-0.5 MSE value: 0.0007185287233066692 5. 6. KernelRidgeR-0.05 Score value: 0.992221974943464 7. KernelRidgeR-0.05 R2 value: 0.992221974943464 8. KernelRidgeR-0.05 MAE value: 0.008029713794101924 9. KernelRidgeR-0.05 MSE value: 0.00012267150300068682 10. 11. KernelRidgeR-0.01 Score value: 0.9953080928564902 12. KernelRidgeR-0.01 R2 value: 0.9953080928564902 13. KernelRidgeR-0.01 MAE value: 0.006042556218634196 14. KernelRidgeR-0.01 MSE value: 7.3998643235321e-05 15. 16. KernelRidgeR-0.005 Score value: 0.9961880311177832 17. KernelRidgeR-0.005 R2 value: 0.9961880311177832 18. KernelRidgeR-0.005 MAE value: 0.005338518159253265 19. KernelRidgeR-0.005 MSE value: 6.012065386449663e-05 20. 21. KernelRidgeR-0.001 Score value: 0.9973841188580002 22. KernelRidgeR-0.001 R2 value: 0.9973841188580002 23. KernelRidgeR-0.001 MAE value: 0.004183983328177061 24. KernelRidgeR-0.001 MSE value: 4.125649750775996e-05 25. 26. KernelRidgeR-0.0001 Score value: 0.9977701958859504 27. KernelRidgeR-0.0001 R2 value: 0.9977701958859504 28. KernelRidgeR-0.0001 MAE value: 0.0036901575950436236 29. KernelRidgeR-0.0001 MSE value: 3.516746475864464e-05 30. 31. 32. 33. 34. [0.9544414613254653, 0.992221974943464, 0.9953080928564902, 0.9961880311177832, 0.9973841188580002, 0.9977701958859504]
3、ElasticNetR
1. ElasticNetR-0.5 Score value: -0.0005308426992141069 2. ElasticNetR-0.5 R2 value: -0.0005308426992141069 3. ElasticNetR-0.5 MAE value: 0.09940889668350568 4. ElasticNetR-0.5 MSE value: 0.015779921172832806 5. 6. ElasticNetR-0.05 Score value: 0.5909997356551588 7. ElasticNetR-0.05 R2 value: 0.5909997356551588 8. ElasticNetR-0.05 MAE value: 0.06384977771594441 9. ElasticNetR-0.05 MSE value: 0.006450567694263088 10. 11. ElasticNetR-0.01 Score value: 0.9722470175744828 12. ElasticNetR-0.01 R2 value: 0.9722470175744828 13. ElasticNetR-0.01 MAE value: 0.01621461543934733 14. ElasticNetR-0.01 MSE value: 0.00043770752114368465 15. 16. ElasticNetR-0.005 Score value: 0.9846441765684218 17. ElasticNetR-0.005 R2 value: 0.9846441765684218 18. ElasticNetR-0.005 MAE value: 0.01189698639426006 19. ElasticNetR-0.005 MSE value: 0.00024218512109085247 20. 21. ElasticNetR-0.001 Score value: 0.9902182047362088 22. ElasticNetR-0.001 R2 value: 0.9902182047362088 23. ElasticNetR-0.001 MAE value: 0.00886838381299399 24. ElasticNetR-0.001 MSE value: 0.00015427406293142925 25. 26. ElasticNetR-0.0001 Score value: 0.9942704213728978 27. ElasticNetR-0.0001 R2 value: 0.9942704213728978 28. ElasticNetR-0.0001 MAE value: 0.006695706278914398 29. ElasticNetR-0.0001 MSE value: 9.036432984445262e-05 30. 31. 32. 33. 34. [-0.0005308426992141069, 0.5909997356551588, 0.9722470175744828, 0.9846441765684218, 0.9902182047362088, 0.9942704213728978]
4、GBR
1. GBR-1 2. GBR-1 Score value: 0.9763666115566574 3. GBR-1 R2 value: 0.9763666115566574 4. GBR-1 MAE value: 0.012052516368497329 5. GBR-1 MSE value: 0.00037273514295350755 6. 7. GBR-2 8. GBR-2 Score value: 0.9926847727617255 9. GBR-2 R2 value: 0.9926847727617255 10. GBR-2 MAE value: 0.008012779193494083 11. GBR-2 MSE value: 0.0001153724645508341 12. 13. GBR-3 14. GBR-3 Score value: 0.9958318342325574 15. GBR-3 R2 value: 0.9958318342325574 16. GBR-3 MAE value: 0.005714597302721484 17. GBR-3 MSE value: 6.573843047966691e-05 18. 19. GBR-4 20. GBR-4 Score value: 0.9958185134836749 21. GBR-4 R2 value: 0.9958185134836749 22. GBR-4 MAE value: 0.004795477929089135 23. GBR-4 MSE value: 6.594851932286696e-05 24. 25. GBR-5 26. GBR-5 Score value: 0.9936308502387022 27. GBR-5 R2 value: 0.9936308502387022 28. GBR-5 MAE value: 0.004648655284013917 29. GBR-5 MSE value: 0.00010045135730159553 30. 31. GBR-6 32. GBR-6 Score value: 0.9928564661943613 33. GBR-6 R2 value: 0.9928564661943613 34. GBR-6 MAE value: 0.004401292926689321 35. GBR-6 MSE value: 0.00011266459317169972 36. 37. GBR-7 38. GBR-7 Score value: 0.9902977868325656 39. GBR-7 R2 value: 0.9902977868325656 40. GBR-7 MAE value: 0.004428399093689221 41. GBR-7 MSE value: 0.0001530189300023011 42. 43. GBR-8 44. GBR-8 Score value: 0.9869749160018195 45. GBR-8 R2 value: 0.9869749160018195 46. GBR-8 MAE value: 0.004718971897735163 47. GBR-8 MSE value: 0.00020542575000119555 48. 49. GBR-9 50. GBR-9 Score value: 0.9853247317034755 51. GBR-9 R2 value: 0.9853247317034755 52. GBR-9 MAE value: 0.0050509572638206945 53. GBR-9 MSE value: 0.00023145171245755048 54. 55. GBR-10 56. GBR-10 Score value: 0.9838819868698998 57. GBR-10 R2 value: 0.9838819868698998 58. GBR-10 MAE value: 0.005661280988227483 59. GBR-10 MSE value: 0.000254206033238824 60. 61. GBR-11 62. GBR-11 Score value: 0.9830335256911121 63. GBR-11 R2 value: 0.9830335256911121 64. GBR-11 MAE value: 0.006145980498176065 65. GBR-11 MSE value: 0.0002675875802617618 66. 67. 68. 69. 70. [0.9763666115566574, 0.9926847727617255, 0.9958318342325574, 0.9958185134836749, 0.9936308502387022, 0.9928564661943613, 0.9902977868325656, 0.9869749160018195, 0.9853247317034755, 0.9838819868698998, 0.9830335256911121]
5、LGBMR
1. LGBMR-0.001 2. LGBMR-0.001 Score value: 0.16876197122096692 3. LGBMR-0.001 R2 value: 0.16876197122096692 4. LGBMR-0.001 MAE value: 0.09046580583395379 5. LGBMR-0.001 MSE value: 0.013109911269309412 6. 7. LGBMR-0.005 8. LGBMR-0.005 Score value: 0.600585544258686 9. LGBMR-0.005 R2 value: 0.600585544258686 10. LGBMR-0.005 MAE value: 0.062265161731615705 11. LGBMR-0.005 MSE value: 0.006299384644539756 12. 13. LGBMR-0.01 14. LGBMR-0.01 Score value: 0.8337825446742081 15. LGBMR-0.01 R2 value: 0.8337825446742081 16. LGBMR-0.01 MAE value: 0.0391266729122725 17. LGBMR-0.01 MSE value: 0.0026215067348787035 18. 19. LGBMR-0.05 20. LGBMR-0.05 Score value: 0.9913041321780923 21. LGBMR-0.05 R2 value: 0.9913041321780923 22. LGBMR-0.05 MAE value: 0.005162800605481635 23. LGBMR-0.05 MSE value: 0.0001371473051134398 24. 25. LGBMR-0.1 26. LGBMR-0.1 Score value: 0.9930306170725406 27. LGBMR-0.1 R2 value: 0.9930306170725406 28. LGBMR-0.1 MAE value: 0.004702627111296393 29. LGBMR-0.1 MSE value: 0.00010991796406985765 30. 31. LGBMR-0.3 32. LGBMR-0.3 Score value: 0.9943329790691453 33. LGBMR-0.3 R2 value: 0.9943329790691453 34. LGBMR-0.3 MAE value: 0.004947701938557634 35. LGBMR-0.3 MSE value: 8.937769807518515e-05 36. 37. LGBMR-0.5 38. LGBMR-0.5 Score value: 0.9923225863703856 39. LGBMR-0.5 R2 value: 0.9923225863703856 40. LGBMR-0.5 MAE value: 0.006078772753272445 41. LGBMR-0.5 MSE value: 0.00012108470495493492 42. 43. LGBMR-0.8 44. LGBMR-0.8 Score value: 0.9850122706624084 45. LGBMR-0.8 R2 value: 0.9850122706624084 46. LGBMR-0.8 MAE value: 0.008351662282985653 47. LGBMR-0.8 MSE value: 0.00023637970706521245 48. 49. 50. 51. 52. [0.16876197122096692, 0.600585544258686, 0.8337825446742081, 0.9913041321780923, 0.9930306170725406, 0.9943329790691453, 0.9923225863703856, 0.9850122706624084]
6、XGBR
1. XGBR-0.001 2. XGBR-0.001 Score value: -166.74203034694682 3. XGBR-0.001 R2 value: -166.74203034694682 4. XGBR-0.001 MAE value: 1.6222131885073523 5. XGBR-0.001 MSE value: 2.6455516444698888 6. 7. XGBR-0.005 8. XGBR-0.005 Score value: -74.51589484580421 9. XGBR-0.005 R2 value: -74.51589484580421 10. XGBR-0.005 MAE value: 1.0873952054959475 11. XGBR-0.005 MSE value: 1.1910026329102963 12. 13. XGBR-0.01 14. XGBR-0.01 Score value: -26.747645189967315 15. XGBR-0.01 R2 value: -26.747645189967315 16. XGBR-0.01 MAE value: 0.6580440584800581 17. XGBR-0.01 MSE value: 0.43762334467189284 18. 19. XGBR-0.05 20. XGBR-0.05 Score value: 0.9828950831664092 21. XGBR-0.05 R2 value: 0.9828950831664092 22. XGBR-0.05 MAE value: 0.013051145715410249 23. XGBR-0.05 MSE value: 0.0002697710333184286 24. 25. XGBR-0.1 26. XGBR-0.1 Score value: 0.9957552489177933 27. XGBR-0.1 R2 value: 0.9957552489177933 28. XGBR-0.1 MAE value: 0.006227088292841316 29. XGBR-0.1 MSE value: 6.694629952117871e-05 30. 31. XGBR-0.3 32. XGBR-0.3 Score value: 0.9921237303622439 33. XGBR-0.3 R2 value: 0.9921237303622439 34. XGBR-0.3 MAE value: 0.008735198405534918 35. XGBR-0.3 MSE value: 0.00012422097222357384 36. 37. 38. 39. 40. [-166.74203034694682, -74.51589484580421, -26.747645189967315, 0.9828950831664092, 0.9957552489177933, 0.9921237303622439]
