140m lv3

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'
        ]]

Model MAE MSE RMSE R2 RMSLE MAPE0

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

Model MAE MSE RMSE R2 RMSLE MAPE0

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'
        ]]

Model MAE MSE RMSE R2 RMSLE MAPE0

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

Model MAE MSE RMSE R2 RMSLE MAPE0

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'
        ]]

저작자표시 비영리 변경금지

기상 기후 강의 노트

140m lv3

티스토리툴바

140m lv3

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