ML之回歸預測：利用多個算法模型(LassoR、KernelRidgeR、ElasticNetR、GBR、LGBMR、XGBR)對國内某平台上海2020年6月份房價資料集【12+1】進行回歸預測（二）

3、ElasticNetR

ElasticNetR-0.5 Score value: -0.0005308426992141069

ElasticNetR-0.5 R2    value: -0.0005308426992141069

ElasticNetR-0.5 MAE   value: 0.09940889668350568

ElasticNetR-0.5 MSE   value: 0.015779921172832806

ElasticNetR-0.05 Score value: 0.5909997356551588

ElasticNetR-0.05 R2    value: 0.5909997356551588

ElasticNetR-0.05 MAE   value: 0.06384977771594441

ElasticNetR-0.05 MSE   value: 0.006450567694263088

ElasticNetR-0.01 Score value: 0.9722470175744828

ElasticNetR-0.01 R2    value: 0.9722470175744828

ElasticNetR-0.01 MAE   value: 0.01621461543934733

ElasticNetR-0.01 MSE   value: 0.00043770752114368465

ElasticNetR-0.005 Score value: 0.9846441765684218

ElasticNetR-0.005 R2    value: 0.9846441765684218

ElasticNetR-0.005 MAE   value: 0.01189698639426006

ElasticNetR-0.005 MSE   value: 0.00024218512109085247

ElasticNetR-0.001 Score value: 0.9902182047362088

ElasticNetR-0.001 R2    value: 0.9902182047362088

ElasticNetR-0.001 MAE   value: 0.00886838381299399

ElasticNetR-0.001 MSE   value: 0.00015427406293142925

ElasticNetR-0.0001 Score value: 0.9942704213728978

ElasticNetR-0.0001 R2    value: 0.9942704213728978

ElasticNetR-0.0001 MAE   value: 0.006695706278914398

ElasticNetR-0.0001 MSE   value: 9.036432984445262e-05

[-0.0005308426992141069, 0.5909997356551588, 0.9722470175744828, 0.9846441765684218, 0.9902182047362088, 0.9942704213728978]

4、GBR

GBR-1

GBR-1 Score value: 0.9763666115566574

GBR-1 R2    value: 0.9763666115566574

GBR-1 MAE   value: 0.012052516368497329

GBR-1 MSE   value: 0.00037273514295350755

GBR-2

GBR-2 Score value: 0.9926847727617255

GBR-2 R2    value: 0.9926847727617255

GBR-2 MAE   value: 0.008012779193494083

GBR-2 MSE   value: 0.0001153724645508341

GBR-3

GBR-3 Score value: 0.9958318342325574

GBR-3 R2    value: 0.9958318342325574

GBR-3 MAE   value: 0.005714597302721484

GBR-3 MSE   value: 6.573843047966691e-05

GBR-4

GBR-4 Score value: 0.9958185134836749

GBR-4 R2    value: 0.9958185134836749

GBR-4 MAE   value: 0.004795477929089135

GBR-4 MSE   value: 6.594851932286696e-05

GBR-5

GBR-5 Score value: 0.9936308502387022

GBR-5 R2    value: 0.9936308502387022

GBR-5 MAE   value: 0.004648655284013917

GBR-5 MSE   value: 0.00010045135730159553

GBR-6

GBR-6 Score value: 0.9928564661943613

GBR-6 R2    value: 0.9928564661943613

GBR-6 MAE   value: 0.004401292926689321

GBR-6 MSE   value: 0.00011266459317169972

GBR-7

GBR-7 Score value: 0.9902977868325656

GBR-7 R2    value: 0.9902977868325656

GBR-7 MAE   value: 0.004428399093689221

GBR-7 MSE   value: 0.0001530189300023011

GBR-8

GBR-8 Score value: 0.9869749160018195

GBR-8 R2    value: 0.9869749160018195

GBR-8 MAE   value: 0.004718971897735163

GBR-8 MSE   value: 0.00020542575000119555

GBR-9

GBR-9 Score value: 0.9853247317034755

GBR-9 R2    value: 0.9853247317034755

GBR-9 MAE   value: 0.0050509572638206945

GBR-9 MSE   value: 0.00023145171245755048

GBR-10

GBR-10 Score value: 0.9838819868698998

GBR-10 R2    value: 0.9838819868698998

GBR-10 MAE   value: 0.005661280988227483

GBR-10 MSE   value: 0.000254206033238824

GBR-11

GBR-11 Score value: 0.9830335256911121

GBR-11 R2    value: 0.9830335256911121

GBR-11 MAE   value: 0.006145980498176065

GBR-11 MSE   value: 0.0002675875802617618

[0.9763666115566574, 0.9926847727617255, 0.9958318342325574, 0.9958185134836749, 0.9936308502387022, 0.9928564661943613, 0.9902977868325656, 0.9869749160018195, 0.9853247317034755, 0.9838819868698998, 0.9830335256911121]