Feature Importance of CatBoost
==============================

The feature importance analysis for the CatBoost 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 CatBoost.**
   :header-rows: 1
   :align: center
   :widths: 5 20 20 20

   * - Rank
     - Variable
     - Feature Importance (%)
     - Cumulative Importance (%)
   * - 1
     - log_SA_mean_clip
     - 18.451148
     - 18.451148
   * - 2
     - log_OBC
     - 11.665666
     - 30.116814
   * - 3
     - log_CA
     - 5.650691
     - 35.767505
   * - 4
     - log_LCM
     - 5.622995
     - 41.390500
   * - 5
     - log_LCG
     - 3.545116
     - 44.935616
   * - 6
     - log_LCWB
     - 3.537828
     - 48.473443
   * - 7
     - wind_mean
     - 3.366397
     - 51.839840
   * - 8
     - log_rain_per_area
     - 3.259535
     - 55.099375
   * - 9
     - log_SA_std
     - 3.185326
     - 58.284701
   * - 10
     - SILT
     - 2.372530
     - 60.657231
   * - 11
     - NSSC2_max_persis
     - 1.720906
     - 62.378136
   * - 12
     - wind_cv
     - 1.705070
     - 64.083207
   * - 13
     - log_SOUT
     - 1.698728
     - 65.781935
   * - 14
     - log_LCC
     - 1.565275
     - 67.347210
   * - 15
     - log_O_std
     - 1.503780
     - 68.850990
   * - 16
     - E_std
     - 1.454025
     - 70.305016
   * - 17
     - log_DCA
     - 1.362752
     - 71.667768
   * - 18
     - AGE
     - 1.224454
     - 72.892222
   * - 19
     - CURV
     - 1.167407
     - 74.059629
   * - 20
     - log_LCSG
     - 1.116647
     - 75.176276
   * - 21
     - NSSC1_std
     - 1.111486
     - 76.287762
   * - 22
     - log_LCS
     - 1.082276
     - 77.370038
   * - 23
     - R_SA_cap
     - 1.077108
     - 78.447146
   * - 24
     - log_MAO
     - 1.061914
     - 79.509060
   * - 25
     - log_LCAS
     - 0.924036
     - 80.433096
   * - 26
     - R_treaa_bare
     - 0.895474
     - 81.328569
   * - 27
     - I_above_90
     - 0.860401
     - 82.188970
   * - 28
     - SAND
     - 0.796876
     - 82.985846
   * - 29
     - log_ESR
     - 0.778772
     - 83.764619
   * - 30
     - DLC
     - 0.768846
     - 84.533465
   * - 31
     - LON
     - 0.699991
     - 85.233455
   * - 32
     - log_MAR
     - 0.679865
     - 85.913320
   * - 33
     - O_cv
     - 0.678522
     - 86.591842
   * - 34
     - NSSC2_mean
     - 0.665480
     - 87.257322
   * - 35
     - log_ROBC
     - 0.612898
     - 87.870220
   * - 36
     - NSSC2_above_90
     - 0.590004
     - 88.460224
   * - 37
     - I_max_persis
     - 0.581242
     - 89.041466
   * - 38
     - log_SIN
     - 0.562330
     - 89.603796
   * - 39
     - log_PAI
     - 0.553538
     - 90.157335
   * - 40
     - log_GC
     - 0.484869
     - 90.642204
   * - 41
     - NSSC1_mean
     - 0.448677
     - 91.090881
   * - 42
     - wind_kurt
     - 0.442530
     - 91.533410
   * - 43
     - NSSC1_skew
     - 0.381720
     - 91.915130
   * - 44
     - log_SA_kurt
     - 0.356926
     - 92.272056
   * - 45
     - SLOP
     - 0.351075
     - 92.623131
   * - 46
     - log_RT
     - 0.346628
     - 92.969760
   * - 47
     - I_cv
     - 0.338650
     - 93.308410
   * - 48
     - log_LCHV
     - 0.331616
     - 93.640026
   * - 49
     - SA_skew
     - 0.329237
     - 93.969263
   * - 50
     - wind_skew
     - 0.328336
     - 94.297598
   * - 51
     - wind_std
     - 0.320611
     - 94.618210
   * - 52
     - LAT
     - 0.318164
     - 94.936374
   * - 53
     - NSSC1_kurt
     - 0.305453
     - 95.241827
   * - 54
     - NVGF
     - 0.304942
     - 95.546769
   * - 55
     - log_MAI
     - 0.298922
     - 95.845691
   * - 56
     - log_I_std
     - 0.282302
     - 96.127993
   * - 57
     - log_LCT
     - 0.278103
     - 96.406096
   * - 58
     - log_HGT
     - 0.268569
     - 96.674665
   * - 59
     - #_rain_above_50
     - 0.261209
     - 96.935874
   * - 60
     - log_SA_mean
     - 0.240939
     - 97.176812
   * - 61
     - BULK
     - 0.233287
     - 97.410100
   * - 62
     - log_ECLR
     - 0.227492
     - 97.637592
   * - 63
     - R_coarse_sand
     - 0.219265
     - 97.856858
   * - 64
     - SA_above_90
     - 0.197631
     - 98.054488
   * - 65
     - ASP
     - 0.187460
     - 98.241948
   * - 66
     - #_rain_above_10
     - 0.182598
     - 98.424546
   * - 67
     - log_TE
     - 0.171315
     - 98.595860
   * - 68
     - log_RA
     - 0.142105
     - 98.737966
   * - 69
     - log_LCBS
     - 0.126309
     - 98.864275
   * - 70
     - AECC
     - 0.114569
     - 98.978844
   * - 71
     - E_mean
     - 0.102541
     - 99.081386
   * - 72
     - log_RP
     - 0.101516
     - 99.182901
   * - 73
     - tmin_mean
     - 0.097207
     - 99.280108
   * - 74
     - HILL
     - 0.095821
     - 99.375929
   * - 75
     - CLAY
     - 0.094278
     - 99.470207
   * - 76
     - AECI
     - 0.092345
     - 99.562553
   * - 77
     - SA_cv
     - 0.070259
     - 99.632812
   * - 78
     - R_shrub_bare
     - 0.067435
     - 99.700246
   * - 79
     - ELEV
     - 0.061365
     - 99.761611
   * - 80
     - log_FL
     - 0.054772
     - 99.816383
   * - 81
     - NSSC1_cv
     - 0.046407
     - 99.862791
   * - 82
     - log_LCSV
     - 0.041039
     - 99.903830
   * - 83
     - rel_SA_mean_clip
     - 0.035102
     - 99.938932
   * - 84
     - tmax_mean
     - 0.029607
     - 99.968538
   * - 85
     - #_rain_above_100
     - 0.024923
     - 99.993461
   * - 86
     - AECS
     - 0.006539
     - 100.000000
   * - 87
     - MRB
     - 0.000000
     - 100.000000
   * - 88
     - COAR
     - 0.000000
     - 100.000000