Feature Importance of LightGBM
===============================

The feature importance analysis for the LightGBM model highlights the relative contribution of each feature to model predictions.  
Below table lists all 88 variables along with their importance, cumulative importance, and rank for LighGBM in RECLAIM.

.. list-table:: **Feature importance of all 88 variables from LightGBM.**
   :header-rows: 1
   :align: center
   :widths: 5 20 20 20

   * - Rank
     - Variable
     - Feature Importance (%)
     - Cumulative Importance (%)
   * - 1
     - log_OBC
     - 4.350861
     - 4.350861
   * - 2
     - AGE
     - 3.420195
     - 7.771056
   * - 3
     - LON
     - 2.826896
     - 10.597953
   * - 4
     - R_SA_cap
     - 2.728013
     - 13.325966
   * - 5
     - AECC
     - 2.600047
     - 15.926012
   * - 6
     - wind_skew
     - 2.396463
     - 18.322476
   * - 7
     - log_MAR
     - 2.361564
     - 20.684039
   * - 8
     - wind_kurt
     - 2.315030
     - 22.999069
   * - 9
     - rel_SA_mean_clip
     - 2.128897
     - 25.127966
   * - 10
     - R_shrub_bare
     - 1.884597
     - 27.012564
   * - 11
     - wind_mean
     - 1.797348
     - 28.809912
   * - 12
     - O_cv
     - 1.779898
     - 30.589809
   * - 13
     - NSSC1_std
     - 1.762448
     - 32.352257
   * - 14
     - NVGF
     - 1.756631
     - 34.108888
   * - 15
     - I_cv
     - 1.669381
     - 35.778269
   * - 16
     - NSSC1_cv
     - 1.657748
     - 37.436017
   * - 17
     - NSSC1_skew
     - 1.628664
     - 39.064681
   * - 18
     - log_LCC
     - 1.622848
     - 40.687529
   * - 19
     - ELEV
     - 1.587948
     - 42.275477
   * - 20
     - BULK
     - 1.553048
     - 43.828525
   * - 21
     - E_std
     - 1.529781
     - 45.358306
   * - 22
     - NSSC2_mean
     - 1.512331
     - 46.870638
   * - 23
     - SAND
     - 1.494881
     - 48.365519
   * - 24
     - E_mean
     - 1.343648
     - 49.709167
   * - 25
     - SLOP
     - 1.320382
     - 51.029549
   * - 26
     - wind_cv
     - 1.314565
     - 52.344114
   * - 27
     - wind_std
     - 1.291298
     - 53.635412
   * - 28
     - R_coarse_sand
     - 1.250582
     - 54.885993
   * - 29
     - log_TE
     - 1.244765
     - 56.130758
   * - 30
     - SA_cv
     - 1.233132
     - 57.363890
   * - 31
     - ASP
     - 1.204048
     - 58.567939
   * - 32
     - log_O_std
     - 1.192415
     - 59.760354
   * - 33
     - log_HGT
     - 1.180782
     - 60.941135
   * - 34
     - log_LCBS
     - 1.151698
     - 62.092834
   * - 35
     - AECI
     - 1.134248
     - 63.227082
   * - 36
     - log_ECLR
     - 1.093532
     - 64.320614
   * - 37
     - NSSC1_kurt
     - 1.087715
     - 65.408329
   * - 38
     - log_LCWB
     - 1.081899
     - 66.490228
   * - 39
     - log_SA_std
     - 1.052815
     - 67.543043
   * - 40
     - COAR
     - 1.017915
     - 68.560959
   * - 41
     - log_SOUT
     - 1.006282
     - 69.567241
   * - 42
     - NSSC1_mean
     - 1.000465
     - 70.567706
   * - 43
     - tmin_mean
     - 1.000465
     - 71.568171
   * - 44
     - log_rain_per_area
     - 1.000465
     - 72.568637
   * - 45
     - #_rain_above_50
     - 0.977199
     - 73.545835
   * - 46
     - SILT
     - 0.959749
     - 74.505584
   * - 47
     - SA_above_90
     - 0.942299
     - 75.447883
   * - 48
     - CLAY
     - 0.936482
     - 76.384365
   * - 49
     - log_LCS
     - 0.913215
     - 77.297580
   * - 50
     - tmax_mean
     - 0.901582
     - 78.199162
   * - 51
     - I_above_90
     - 0.901582
     - 79.100745
   * - 52
     - log_MAO
     - 0.895765
     - 79.996510
   * - 53
     - AECS
     - 0.884132
     - 80.880642
   * - 54
     - log_GC
     - 0.866682
     - 81.747324
   * - 55
     - I_max_persis
     - 0.843416
     - 82.590740
   * - 56
     - log_LCSG
     - 0.820149
     - 83.410889
   * - 57
     - log_ROBC
     - 0.814332
     - 84.225221
   * - 58
     - #_rain_above_10
     - 0.791066
     - 85.016287
   * - 59
     - log_DCA
     - 0.785249
     - 85.801536
   * - 60
     - #_rain_above_100
     - 0.761982
     - 86.563518
   * - 61
     - log_ESR
     - 0.744532
     - 87.308050
   * - 62
     - log_LCG
     - 0.744532
     - 88.052583
   * - 63
     - log_SA_kurt
     - 0.721266
     - 88.773848
   * - 64
     - SA_skew
     - 0.692182
     - 89.466031
   * - 65
     - log_I_std
     - 0.692182
     - 90.158213
   * - 66
     - log_FL
     - 0.680549
     - 90.838762
   * - 67
     - log_LCT
     - 0.668916
     - 91.507678
   * - 68
     - log_LCAS
     - 0.645649
     - 92.153327
   * - 69
     - log_RT
     - 0.628199
     - 92.781526
   * - 70
     - HILL
     - 0.610749
     - 93.392275
   * - 71
     - log_PAI
     - 0.540949
     - 93.933225
   * - 72
     - log_LCSV
     - 0.535133
     - 94.468357
   * - 73
     - NSSC2_max_persis
     - 0.529316
     - 94.997673
   * - 74
     - log_MAI
     - 0.494416
     - 95.492089
   * - 75
     - log_RA
     - 0.476966
     - 95.969055
   * - 76
     - R_treaa_bare
     - 0.442066
     - 96.411121
   * - 77
     - log_SIN
     - 0.395533
     - 96.806654
   * - 78
     - CURV
     - 0.383899
     - 97.190554
   * - 79
     - log_SA_mean
     - 0.378083
     - 97.568637
   * - 80
     - NSSC2_above_90
     - 0.366450
     - 97.935086
   * - 81
     - log_CA
     - 0.360633
     - 98.295719
   * - 82
     - MRB
     - 0.331550
     - 98.627268
   * - 83
     - log_SA_mean_clip
     - 0.331550
     - 98.958818
   * - 84
     - log_RP
     - 0.308283
     - 99.267101
   * - 85
     - LAT
     - 0.302466
     - 99.569567
   * - 86
     - log_LCHV
     - 0.267566
     - 99.837134
   * - 87
     - log_LCM
     - 0.122150
     - 99.959283
   * - 88
     - DLC
     - 0.040717
     - 100.000000