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.

Feature importance of all 88 variables from CatBoost.

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