數(shù)據(jù)的初步查驗：輸出回歸目標(biāo)值的差異 The max target value is PeakNonedb ? ?89 dtype: int64 The min target value is PeakNonedb ? ?56 dtype: int64 The average target value is PeakNonedb ? ?63.392157 dtype: float64
LiR
LiR：The value of default measurement of LiR is 0.5231458055883893 LiR：R-squared value of DecisionTreeRegressor: 0.5231458055883893 LiR：The mean squared error of DecisionTreeRegressor: 25.294980943838745 LiR：The mean absoluate error of DecisionTreeRegressor: 3.608855227697136 LiR：測試141~153行數(shù)據(jù)，? ?[[ 747.01164105] ?[1534.72506527] ?[2569.73860794] ?[3646.40436281] ?[1579.9293663 ] ?[2860.34593738] ?[3736.26316737] ?[3506.55843101] ?[3519.97015753] ?[3565.68403454] ?[3666.57047459] ?[3700.74687407]]
kNN
kNNR_uni：The value of default measurement of kNNR_uni is 0.5866024699259604 kNNR_uni：R-squared value of DecisionTreeRegressor: 0.5866024699259604 kNNR_uni：The mean squared error of DecisionTreeRegressor: 21.928888888888892 kNNR_uni：The mean absoluate error of DecisionTreeRegressor: 3.2111111111111117 kNNR_uni：測試141~153行數(shù)據(jù)，? ?[[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829] ?[0.64097829]]
?
kNNR_dis：The value of default measurement of kNNR_dis is 0.6601811947182363 kNNR_dis：R-squared value of DecisionTreeRegressor: 0.6601811947182363 kNNR_dis：The mean squared error of DecisionTreeRegressor: 18.02586682616158 kNNR_dis：The mean absoluate error of DecisionTreeRegressor: 2.847311210973169 kNNR_dis：測試141~153行數(shù)據(jù)，? ?[[0.64115297] ?[0.64098617] ?[0.64095601] ?[0.64095674] ?[0.64098432] ?[0.64095655] ?[0.64095685] ?[0.64095705] ?[0.64095705] ?[0.64095715] ?[0.6409569 ] ?[0.64095699]]
SVM
linear_SVR：The value of default measurement of linear_SVR is 0.22831988148305604 linear_SVR：R-squared value of DecisionTreeRegressor: 0.22831988148305604 linear_SVR：The mean squared error of DecisionTreeRegressor: 40.93417678062064 linear_SVR：The mean absoluate error of DecisionTreeRegressor: 4.02480324908603 linear_SVR：測試141~153行數(shù)據(jù)，? ?[177.03008956 325.6232456 ?539.28353027 735.51485927 323.06294283 ?568.35867934 732.77017607 736.16626099 743.3919392 ?747.74854384 ?743.58244066 757.04564832]
poly_SVR：The value of default measurement of poly_SVR is 0.5579245050116022 poly_SVR：R-squared value of DecisionTreeRegressor: 0.5579245050116022 poly_SVR：The mean squared error of DecisionTreeRegressor: 23.45012658485137 poly_SVR：The mean absoluate error of DecisionTreeRegressor: 3.1855299673953557 poly_SVR：測試141~153行數(shù)據(jù)，? ?[-1.03092264e+06 -7.08914443e+06 -4.71673473e+07 -1.43965988e+08 ?-7.08197015e+06 -4.62519130e+07 -1.43821606e+08 -1.34024997e+08 ?-1.33032109e+08 -1.32825434e+08 -1.32921612e+08 -1.33055776e+08]
rbf_SVR：The value of default measurement of rbf_SVR is 0.48978384736121017 rbf_SVR：R-squared value of DecisionTreeRegressor: 0.48978384736121017 rbf_SVR：The mean squared error of DecisionTreeRegressor: 27.064683522730615 rbf_SVR：The mean absoluate error of DecisionTreeRegressor: 3.248361364253994 rbf_SVR：測試141~153行數(shù)據(jù)，? ?[0.38231553 0.38231553 0.38231553 0.38231553 0.38231553 0.38231553 ?0.38231553 0.38231553 0.38231553 0.38231553 0.38231553 0.38231553]
?
DT
DTR：The value of default measurement of DTR is 0.2302209550962223 DTR：R-squared value of DecisionTreeRegressor: 0.2302209550962223 DTR：The mean squared error of DecisionTreeRegressor: 40.833333333333336 DTR：The mean absoluate error of DecisionTreeRegressor: 4.111111111111111 DTR：測試141~153行數(shù)據(jù)，? ?[3.89129343 3.89129343 3.89129343 3.89129343 3.89129343 3.89129343 ?3.89129343 3.89129343 3.89129343 3.89129343 3.89129343 3.89129343]
RF
RFR：The value of default measurement of RFR is 0.6240708685469911 RFR：R-squared value of DecisionTreeRegressor: 0.6240708685469911 RFR：The mean squared error of DecisionTreeRegressor: 19.941358024691358 RFR：The mean absoluate error of DecisionTreeRegressor: 2.9907407407407405 RFR：測試141~153行數(shù)據(jù)? ?[2.89029058 3.09049115 3.09049115 3.09049115 3.09049115 3.09049115 ?3.09049115 2.90206708 3.10226765 3.10226765 3.09049115 3.09049115]
ETR
ETR：The value of default measurement of ETR is 0.7190149388336945 ETR：R-squared value of DecisionTreeRegressor: 0.7190149388336945 ETR：The mean squared error of DecisionTreeRegressor: 14.904999999999989 ETR：The mean absoluate error of DecisionTreeRegressor: 2.6666666666666656 ETR：測試141~153行數(shù)據(jù)? ?[2.51344245 2.54877196 2.54877196 2.54877196 2.54877196 2.54877196 ?2.54877196 2.33679488 2.54877196 2.54877196 2.54877196 2.54877196]
GB/GD
SGDR：The value of default measurement of SGDR is 0.4691791802079268 SGDR：R-squared value of DecisionTreeRegressor: 0.4691791802079268 SGDR：The mean squared error of DecisionTreeRegressor: 28.157668902967323 SGDR：The mean absoluate error of DecisionTreeRegressor: 3.693309750338626 SGDR：測試141~153行數(shù)據(jù)? ?[125.22055498 181.45266125 288.54749558 392.31320313 184.45855476 ?292.27252144 396.6089051 ?407.38658412 406.82100285 407.48230658 ?408.14902864 407.91771216]
GBR：The value of default measurement of GBR is 0.6340219593738237 GBR：R-squared value of DecisionTreeRegressor: 0.6340219593738237 GBR：The mean squared error of DecisionTreeRegressor: 19.413497190530663 GBR：The mean absoluate error of DecisionTreeRegressor: 2.792040256427659 GBR：測試141~153行數(shù)據(jù)? ?[2.79877177 3.34564311 3.34564311 3.41538604 3.48125832 3.40431433 ?3.41538604 2.88403709 3.41983671 3.41983671 3.41983671 3.41983671]
LGB
[LightGBM] [Warning] feature_fraction is set=0.6, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.6 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] min_sum_hessian_in_leaf is set=0.001, min_child_weight=0.001 will be ignored. Current value: min_sum_hessian_in_leaf=0.001 [LightGBM] [Warning] bagging_fraction is set=0.7, subsample=1.0 will be ignored. Current value: bagging_fraction=0.7 LGB：The value of default measurement of LGB is 0.7257085935738725 LGB：R-squared value of DecisionTreeRegressor: 0.6340219593738237 LGB：The mean squared error of DecisionTreeRegressor: 19.413497190530663 LGB：The mean absoluate error of DecisionTreeRegressor: 2.792040256427659 LGB：測試141~153行數(shù)據(jù)? ?[2.35312797 2.34599463 2.34599463 2.34599463 2.34599463 2.34599463 ?2.34599463 2.34599463 2.34599463 2.34599463 2.34599463 2.34599463]
2、第二次輸出評估模型性能記錄
LiR
LiR：The value of default measurement of LiR is 0.5231458055883893 LiR：R-squared value of DecisionTreeRegressor: 0.5231458055883893 LiR：The mean squared error of DecisionTreeRegressor: 25.294980943838745 LiR：The mean absoluate error of DecisionTreeRegressor: 3.608855227697136
kNN
kNNR_uni：The value of default measurement of kNNR_uni is 0.5866024699259604 kNNR_uni：R-squared value of DecisionTreeRegressor: 0.5866024699259604 kNNR_uni：The mean squared error of DecisionTreeRegressor: 21.928888888888892 kNNR_uni：The mean absoluate error of DecisionTreeRegressor: 3.2111111111111117
kNNR_dis：The value of default measurement of kNNR_dis is 0.6601811947182363 kNNR_dis：R-squared value of DecisionTreeRegressor: 0.6601811947182363 kNNR_dis：The mean squared error of DecisionTreeRegressor: 18.02586682616158 kNNR_dis：The mean absoluate error of DecisionTreeRegressor: 2.847311210973169
SVM
linear_SVR：The value of default measurement of linear_SVR is 0.22831988148305604 linear_SVR：R-squared value of DecisionTreeRegressor: 0.22831988148305604 linear_SVR：The mean squared error of DecisionTreeRegressor: 40.93417678062064 linear_SVR：The mean absoluate error of DecisionTreeRegressor: 4.02480324908603
poly_SVR：The value of default measurement of poly_SVR is 0.5579245050116022 poly_SVR：R-squared value of DecisionTreeRegressor: 0.5579245050116022 poly_SVR：The mean squared error of DecisionTreeRegressor: 23.45012658485137 poly_SVR：The mean absoluate error of DecisionTreeRegressor: 3.1855299673953557
rbf_SVR：The value of default measurement of rbf_SVR is 0.48978384736121017 rbf_SVR：R-squared value of DecisionTreeRegressor: 0.48978384736121017 rbf_SVR：The mean squared error of DecisionTreeRegressor: 27.064683522730615 rbf_SVR：The mean absoluate error of DecisionTreeRegressor: 3.248361364253994
?
DT
DTR：The value of default measurement of DTR is -0.3190975606208273 DTR：R-squared value of DecisionTreeRegressor: -0.3190975606208273 DTR：The mean squared error of DecisionTreeRegressor: 69.97222222222223 DTR：The mean absoluate error of DecisionTreeRegressor: 5.027777777777778
RF
RFR：The value of default measurement of RFR is 0.6920860546642035 RFR：R-squared value of DecisionTreeRegressor: 0.6920860546642035 RFR：The mean squared error of DecisionTreeRegressor: 16.333456790123456 RFR：The mean absoluate error of DecisionTreeRegressor: 2.861111111111111
ETR
ETR：The value of default measurement of ETR is 0.6602917945510349 ETR：R-squared value of DecisionTreeRegressor: 0.6602917945510349 ETR：The mean squared error of DecisionTreeRegressor: 18.019999999999996 ETR：The mean absoluate error of DecisionTreeRegressor: 3.0055555555555555
GB/GD
SGDR：The value of default measurement of SGDR is 0.46348293353800685 SGDR：R-squared value of DecisionTreeRegressor: 0.46348293353800685 SGDR：The mean squared error of DecisionTreeRegressor: 28.459829296344633 SGDR：The mean absoluate error of DecisionTreeRegressor: 3.706383834628725
GBR：The value of default measurement of GBR is 0.6242967693280365 GBR：R-squared value of DecisionTreeRegressor: 0.6242967693280366 GBR：The mean squared error of DecisionTreeRegressor: 19.92937499923262 GBR：The mean absoluate error of DecisionTreeRegressor: 2.8923697398449524
LGB
[LightGBM] [Warning] feature_fraction is set=0.6, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.6 [LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18 [LightGBM] [Warning] min_sum_hessian_in_leaf is set=0.001, min_child_weight=0.001 will be ignored. Current value: min_sum_hessian_in_leaf=0.001 [LightGBM] [Warning] bagging_fraction is set=0.7, subsample=1.0 will be ignored. Current value: bagging_fraction=0.7
LGB：The value of default measurement of LGB is 0.7257085935738725 LGB：R-squared value of DecisionTreeRegressor: 0.7257085935738725 LGB：The mean squared error of DecisionTreeRegressor: 14.54993157220446 LGB：The mean absoluate error of DecisionTreeRegressor: 2.9797938407355122
