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 -0.621505 33.595553 False SPARSE_OBLIQUE 5.0 STANDARD_DEVIATION CONTINUOUS RANDOM BEST_FIRST_GLOBAL 32.0 RANDOM 0.6 0.10 5 true 1.0 NaN
1 -0.587795 34.275111 False SPARSE_OBLIQUE 1.0 MIN_MAX BINARY CART BEST_FIRST_GLOBAL 16.0 RANDOM 0.6 0.10 10 true 0.2 NaN
2 -0.592873 36.837887 False SPARSE_OBLIQUE 2.0 NONE BINARY RANDOM LOCAL NaN RANDOM 0.6 0.05 20 false 1.0 4.0
3 -0.579144 37.724828 False SPARSE_OBLIQUE 1.0 MIN_MAX CONTINUOUS CART BEST_FIRST_GLOBAL 512.0 RANDOM 1.0 0.10 5 false 0.5 NaN
4 -0.604322 41.189555 False SPARSE_OBLIQUE 4.0 STANDARD_DEVIATION CONTINUOUS CART LOCAL NaN RANDOM 0.8 0.10 5 false 0.5 6.0