inp = tmp[['Datetime', #'doy',
# 'Year', 'Month', 'Day', 'Hour', 'Min',# 'Week', # Year Min 제거하면 R2 내려감.
#'Solar_time_hr', 'Solar_rad_MJ_m2', 'Netrad_accum_MJ_m2',
# 'Insolation_accum_MJ_m2', 'NetRs_Avg',
# 'Soil.moist_10cm',
'T_soil_20cm', 'H_soil_20cm', 'Wtr_soil_20cm',
'Rain_mm', # 'Vis_10m', # 'P_vapor',
'Td', 'T_sfc', #'T_gnd_5cm', 'T_gnd_10cm',#'T_gnd_20cm','T_gnd_30cm','T_gnd_0.5m',
# 'T_0.5m', #'T_1.5m',
'Ts_1.5m', 'Ts_60m', 'Ts_140m', 'Ts_300m',
# 'RH_0.5m', 'RH_1.5m',
'WS_1.5m', 'WS_60m', 'WS_140m', 'WS_300m',
'WD_1.5m', 'WD_60m', 'WD_140m', 'WD_300m',
'dudz_300m', 'dudz_300m1', 'dudz_300m2',
'dudz_140m', 'dudz_140m1','dudz_60m',
'dTdz_300m', 'dTdz_300m1', 'dTdz_300m2',
'dTdz_140m', 'dTdz_140m1','dTdz_60m',
'dTdz_1.5m', 'dTdz_sfc',
'dudt_300m', 'dudt_140m', 'dudt_60m',
'dTdt_300m', 'dTdt_140m', 'dTdt_60m', 'dTdt_1.5m', 'dTdt_sfc',
'Kdn', 'Kup', 'Ldn', 'Lup',
'netrad',
# 'Ri_300m', 'Ri_300m1', 'Ri_300m2', 'Ri_140m', 'Ri_140m1', 'Ri_60m', #R2 이 내려감
'TKE'+lev
# 'TKE_60m' ,'TKE'+lev ,'TKE_300m'
]]
| Stacking Regressor | 0.3504 | 0.4375 | 0.6615 | 0.7771 | 0.1939 | 0.4632 |
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] bagging_fraction is set=1.0, subsample=1.0 will be ignored. Current value: bagging_fraction=1.0
| Voting Regressor | 0.3509 | 0.4408 | 0.6639 | 0.7755 | 0.1938 | 0.5135 |
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] bagging_fraction is set=1.0, subsample=1.0 will be ignored. Current value: bagging_fraction=1.0
inp = tmp[['Datetime', #'doy',
#'Year',
'Month', 'Day', 'Hour', #'Min',# 'Week', # Year Min 제거하면 R2 내려감.
#'Solar_time_hr', 'Solar_rad_MJ_m2', 'Netrad_accum_MJ_m2',
# 'Insolation_accum_MJ_m2', 'NetRs_Avg',
# 'Soil.moist_10cm',
'T_soil_20cm', 'H_soil_20cm', 'Wtr_soil_20cm',
'Rain_mm', #'Vis_10m', 'P_vapor',
'Td', 'T_sfc', 'T_gnd_5cm', #'T_gnd_10cm','T_gnd_20cm','T_gnd_30cm','T_gnd_0.5m',
'T_0.5m', 'T_1.5m',
'Ts_1.5m', 'Ts_60m', 'Ts_140m', 'Ts_300m',
# 'RH_0.5m', 'RH_1.5m',
'WS_1.5m', 'WS_60m', 'WS_140m', 'WS_300m',
'WD_1.5m', 'WD_60m', 'WD_140m', 'WD_300m',
'dudz_300m', 'dudz_300m1', 'dudz_300m2',
'dudz_140m', 'dudz_140m1','dudz_60m',
'dTdz_300m', 'dTdz_300m1', 'dTdz_300m2',
'dTdz_140m', 'dTdz_140m1','dTdz_60m',
'dTdz_1.5m', 'dTdz_sfc',
'dudt_300m', 'dudt_140m', 'dudt_60m',
'dTdt_300m', 'dTdt_140m', 'dTdt_60m', 'dTdt_1.5m', 'dTdt_sfc',
'Kdn', 'Kup', 'Ldn', 'Lup',
'netrad',
# 'Ri_300m', 'Ri_300m1', 'Ri_300m2', 'Ri_140m', 'Ri_140m1', 'Ri_60m', #R2 이 내려감
'TKE'+lev
# 'TKE_60m' ,'TKE'+lev ,'TKE_300m'
]]
| Stacking Regressor | 0.3775 | 0.6732 | 0.8205 | 0.7455 | 0.2081 | 0.5207 |
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] bagging_fraction is set=1.0, subsample=1.0 will be ignored. Current value: bagging_fraction=1.0
| Voting Regressor | 0.3793 | 0.6844 | 0.8273 | 0.7413 | 0.2083 | 0.5883 |
Model MAE MSE RMSE R2 RMSLE MAPE0
RH 제거 전
날짜 시간 제거 전
| Stacking Regressor | 0.3771 | 0.6644 | 0.8151 | 0.7489 | 0.2067 | 0.5160 |
Model MAE MSE RMSE R2 RMSLE MAPE0
| Stacking Regressor | 0.3771 | 0.6644 | 0.8151 | 0.7489 | 0.2067 | 0.5160 |
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] feature_fraction is set=0.5, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5
[LightGBM] [Warning] bagging_fraction is set=1.0, subsample=1.0 will be ignored. Current value: bagging_fraction=1.0
| Voting Regressor | 0.3776 | 0.6775 | 0.8231 | 0.7439 | 0.2063 | 0.5828 |
Model MAE MSE RMSE R2 RMSLE MAPE0
| Extra Trees Regressor | 0.3897 | 0.7530 | 0.8678 | 0.7154 | 0.2123 | 0.6284 |
| Extreme Gradient Boosting | 0.3947 | 0.6855 | 0.8280 | 0.7409 | 0.2173 | 0.5931 |
| Light Gradient Boosting Machine | 0.4024 | 0.7101 | 0.8427 | 0.7316 | 0.2201 | 0.6230 |
Model MAE MSE RMSE R2 RMSLE MAPE0
inp = tmp[['Datetime', #'doy',
'Year', 'Month', 'Day', 'Hour', 'Min',# 'Week', # Year Min 제거하면 R2 내려감.
#'Solar_time_hr', 'Solar_rad_MJ_m2', 'Netrad_accum_MJ_m2',
# 'Insolation_accum_MJ_m2', 'NetRs_Avg',
# 'Soil.moist_10cm',
'T_soil_20cm', 'H_soil_20cm', 'Wtr_soil_20cm',
# 'Rain_mm', 'Vis_10m', 'P_vapor',
'Td', 'T_sfc', 'T_gnd_5cm', #'T_gnd_10cm','T_gnd_20cm','T_gnd_30cm','T_gnd_0.5m',
'T_0.5m', 'T_1.5m',
'Ts_1.5m', 'Ts_60m', 'Ts_140m', 'Ts_300m',
'RH_0.5m', 'RH_1.5m',
'WS_1.5m', 'WS_60m', 'WS_140m', 'WS_300m',
'WD_1.5m', 'WD_60m', 'WD_140m', 'WD_300m',
'dudz_300m', 'dudz_300m1', 'dudz_300m2',
'dudz_140m', 'dudz_140m1','dudz_60m',
'dTdz_300m', 'dTdz_300m1', 'dTdz_300m2',
'dTdz_140m', 'dTdz_140m1','dTdz_60m',
'dTdz_1.5m', 'dTdz_sfc',
'dudt_300m', 'dudt_140m', 'dudt_60m',
'dTdt_300m', 'dTdt_140m', 'dTdt_60m', 'dTdt_1.5m', 'dTdt_sfc',
'Kdn', 'Kup', 'Ldn', 'Lup',
'netrad',
# 'Ri_300m', 'Ri_300m1', 'Ri_300m2', 'Ri_140m', 'Ri_140m1', 'Ri_60m', #R2 이 내려감
'TKE'+lev
# 'TKE_60m' ,'TKE'+lev ,'TKE_300m'
]]