score	evaluation_time	best	split_axis	sparse_oblique_projection_density_factor	sparse_oblique_normalization	sparse_oblique_weights	categorical_algorithm	growing_strategy	max_num_nodes	sampling_method	subsample	shrinkage	min_examples	use_hessian_gain	num_candidate_attributes_ratio	max_depth
0	-0.631539	43.259952	False	SPARSE_OBLIQUE	5.0	MIN_MAX	BINARY	CART	BEST_FIRST_GLOBAL	32.0	RANDOM	1.0	0.10	10	false	0.2	NaN
1	-0.579139	105.240913	False	SPARSE_OBLIQUE	2.0	NONE	BINARY	RANDOM	BEST_FIRST_GLOBAL	128.0	RANDOM	0.8	0.02	10	true	0.9	NaN
2	-0.576524	137.276698	False	SPARSE_OBLIQUE	3.0	NONE	BINARY	RANDOM	LOCAL	NaN	RANDOM	1.0	0.10	5	false	0.5	8.0
3	-0.580240	167.330852	False	SPARSE_OBLIQUE	1.0	NONE	BINARY	CART	BEST_FIRST_GLOBAL	64.0	RANDOM	1.0	0.10	20	false	0.2	NaN
4	-0.597285	199.871959	False	SPARSE_OBLIQUE	4.0	STANDARD_DEVIATION	CONTINUOUS	RANDOM	BEST_FIRST_GLOBAL	256.0	RANDOM	1.0	0.10	20	true	0.5	NaN