tree
version=v4
num_class=1
num_tree_per_iteration=1
label_index=0
max_feature_idx=1
objective=huber
feature_names=Column_0 Column_1
feature_infos=[0:5] [0:2]
tree_sizes=224 315 310 492 497 500 505 503 515 480 496 486

Tree=0
num_leaves=1
num_cat=0
split_feature=
split_gain=
threshold=
decision_type=
left_child=
right_child=
leaf_value=11
leaf_weight=
leaf_count=12
internal_value=
internal_weight=
internal_count=
is_linear=0
shrinkage=1


Tree=1
num_leaves=2
num_cat=0
split_feature=0
split_gain=8.83636
threshold=2.5000000000000004
decision_type=2
left_child=-1
right_child=-2
leaf_value=-0.089999997615814203 0.089999997615814203
leaf_weight=5 6
leaf_count=5 6
internal_value=0.00818182
internal_weight=11
internal_count=11
is_linear=0
shrinkage=0.1


Tree=2
num_leaves=2
num_cat=0
split_feature=0
split_gain=5.55429
threshold=2.5000000000000004
decision_type=2
left_child=-1
right_child=-2
leaf_value=-0.08999999761581419 0.08999999761581419
leaf_weight=3 4
leaf_count=3 4
internal_value=0.0128571
internal_weight=7
internal_count=7
is_linear=0
shrinkage=0.1


Tree=3
num_leaves=4
num_cat=0
split_feature=0 0 1
split_gain=2.65221 0.00192 0.0032
threshold=2.5000000000000004 3.5000000000000004 1.0000000180025095e-35
decision_type=2 2 2
left_child=-1 2 -2
right_child=1 -3 -4
leaf_value=-0.089999997615814134 0.081999999284744218 0.08999999761581419 0.08999999761581412
leaf_weight=0.99999999999999989 0.99999999999999967 3 1
leaf_count=1 1 3 1
internal_value=0.0586667 0.0884 0.086
internal_weight=6 5 2
internal_count=6 5 2
is_linear=0
shrinkage=0.1


Tree=4
num_leaves=4
num_cat=0
split_feature=0 1 0
split_gain=6.61327 0.021675 0.00787319
threshold=2.5000000000000004 1.5000000000000002 3.5000000000000004
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=-0.08999999761581419 0.081900000572204562 -0.073000001907348566 0.08999999761581419
leaf_weight=3 1.9999999999999998 0.99999999999999989 3
leaf_count=3 2 1 3
internal_value=0.0100889 -0.08575 0.08676
internal_weight=9 4 5
internal_count=9 4 5
is_linear=0
shrinkage=0.1


Tree=5
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=6.92458 0.0442867 0.0198291
threshold=2.5000000000000004 1.5000000000000002 3.5000000000000004
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=-0.08999999761581419 0.077805000543594335 -0.065700000524520824 0.08999999761581419
leaf_weight=3 1.9999999999999998 0.99999999999999989 4
leaf_count=3 2 1 4
internal_value=0.017991 -0.083925 0.085935
internal_weight=10 4 6
internal_count=10 4 6
is_linear=0
shrinkage=0.1


Tree=6
num_leaves=4
num_cat=0
split_feature=0 1 0
split_gain=6.67833 0.0776206 0.0317652
threshold=2.5000000000000004 1.0000000180025095e-35 1.5000000000000002
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=-0.08999999761581419 0.057829499244689886 0.08999999761581419 -0.074564999341964686
leaf_weight=4 0.99999999999999989 3 1.9999999999999998
leaf_count=4 1 3 2
internal_value=-0.01813 0.0819574 -0.084855
internal_weight=10 4 6
internal_count=10 4 6
is_linear=0
shrinkage=0.1


Tree=7
num_leaves=4
num_cat=0
split_feature=0 0 1
split_gain=4.24642 0.0432139 0.0720232
threshold=2.5000000000000004 3.5000000000000004 1.0000000180025095e-35
decision_type=2 2 2
left_child=-1 2 -2
right_child=1 -3 -4
leaf_value=-0.089999997615814176 0.052046549320220917 0.08999999761581419 0.08999999761581412
leaf_weight=1.9999999999999998 0.99999999999999967 3 1
leaf_count=2 1 3 1
internal_value=0.0331495 0.0824093 0.0710233
internal_weight=7 5 2
internal_count=7 5 2
is_linear=0
shrinkage=0.1


Tree=8
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=4.53921 0.14932 0.0558787
threshold=2.5000000000000004 1.5000000000000002 3.5000000000000004
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=-0.089999997615814176 0.068420946598052951 -0.042673501372337289 0.08999999761581419
leaf_weight=1.9999999999999998 1.9999999999999998 1.0000000000000002 3
leaf_count=2 2 1 3
internal_value=0.023021 -0.0742245 0.0813684
internal_weight=8 3 5
internal_count=8 3 5
is_linear=0
shrinkage=0.1


Tree=9
num_leaves=4
num_cat=0
split_feature=0 0 1
split_gain=5.48464 0.0750006 0.125001
threshold=2.5000000000000004 3.5000000000000004 1.0000000180025095e-35
decision_type=2 2 2
left_child=-1 2 -2
right_child=1 -3 -4
leaf_value=-0.077101536095142351 0.039999800920486425 0.08999999761581419 0.08999999761581412
leaf_weight=4 0.99999999999999967 3 1
leaf_count=4 1 3 1
internal_value=0.0101771 0.08 0.0649999
internal_weight=9 5 2
internal_count=9 5 2
is_linear=0
shrinkage=0.1


Tree=10
num_leaves=4
num_cat=0
split_feature=0 1 0
split_gain=5.29585 0.263772 0.0874806
threshold=2.5000000000000004 1.5000000000000002 3.5000000000000004
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=-0.08999999761581419 0.062999908626079529 -0.03069599568843839 0.08999999761581419
leaf_weight=3 1.9999999999999998 0.99999999999999989 3
leaf_count=3 2 1 3
internal_value=0.0105893 -0.075174 0.0792
internal_weight=9 4 5
internal_count=9 4 5
is_linear=0
shrinkage=0.1


Tree=11
num_leaves=4
num_cat=0
split_feature=0 0 1
split_gain=6.76321 0.121204 0.181806
threshold=2.5000000000000004 3.5000000000000004 1.0000000180025095e-35
decision_type=2 2 2
left_child=-1 2 -2
right_child=1 -3 -4
leaf_value=-0.077525277733802786 0.029699829220771769 0.08999999761581419 0.08999999761581412
leaf_weight=5 0.99999999999999967 4 1
leaf_count=5 1 4 1
internal_value=0.00837031 0.07995 0.0598499
internal_weight=11 6 2
internal_count=11 6 2
is_linear=0
shrinkage=0.1


end of trees

feature_importances:
Column_0=22
Column_1=7

parameters:
[boosting: gbdt]
[objective: huber]
[metric: huber,l2]
[tree_learner: serial]
[device_type: cpu]
[data_sample_strategy: bagging]
[data: ]
[valid: ]
[num_iterations: 12]
[learning_rate: 0.1]
[num_leaves: 4]
[num_threads: 1]
[seed: 1610969088]
[deterministic: 1]
[force_col_wise: 0]
[force_row_wise: 1]
[histogram_pool_size: -1]
[max_depth: -1]
[min_data_in_leaf: 1]
[min_sum_hessian_in_leaf: 0.001]
[bagging_fraction: 0.7]
[pos_bagging_fraction: 1]
[neg_bagging_fraction: 1]
[bagging_freq: 1]
[bagging_seed: 3]
[bagging_by_query: 0]
[feature_fraction: 1]
[feature_fraction_bynode: 1]
[feature_fraction_seed: 11837]
[extra_trees: 0]
[extra_seed: 9745]
[early_stopping_round: 0]
[early_stopping_min_delta: 0]
[first_metric_only: 0]
[max_delta_step: 0]
[lambda_l1: 0]
[lambda_l2: 0]
[linear_lambda: 0]
[min_gain_to_split: 0]
[drop_rate: 0.1]
[max_drop: 50]
[skip_drop: 0.5]
[xgboost_dart_mode: 0]
[uniform_drop: 0]
[drop_seed: 8611]
[top_rate: 0.2]
[other_rate: 0.1]
[min_data_per_group: 100]
[max_cat_threshold: 32]
[cat_l2: 10]
[cat_smooth: 10]
[max_cat_to_onehot: 4]
[top_k: 20]
[monotone_constraints: ]
[monotone_constraints_method: basic]
[monotone_penalty: 0]
[feature_contri: ]
[forcedsplits_filename: ]
[refit_decay_rate: 0.9]
[cegb_tradeoff: 1]
[cegb_penalty_split: 0]
[cegb_penalty_feature_lazy: ]
[cegb_penalty_feature_coupled: ]
[path_smooth: 0]
[interaction_constraints: ]
[verbosity: -1]
[saved_feature_importance_type: 0]
[use_quantized_grad: 0]
[num_grad_quant_bins: 4]
[quant_train_renew_leaf: 0]
[stochastic_rounding: 1]
[linear_tree: 0]
[max_bin: 255]
[max_bin_by_feature: ]
[min_data_in_bin: 1]
[bin_construct_sample_cnt: 1000000]
[data_random_seed: 8662]
[is_enable_sparse: 1]
[enable_bundle: 1]
[use_missing: 1]
[zero_as_missing: 0]
[feature_pre_filter: 0]
[pre_partition: 0]
[two_round: 0]
[header: 0]
[label_column: ]
[weight_column: ]
[group_column: ]
[ignore_column: ]
[categorical_feature: ]
[forcedbins_filename: ]
[precise_float_parser: 0]
[parser_config_file: ]
[objective_seed: 557]
[num_class: 1]
[is_unbalance: 0]
[scale_pos_weight: 1]
[sigmoid: 1]
[boost_from_average: 0]
[reg_sqrt: 0]
[alpha: 0.9]
[fair_c: 1]
[poisson_max_delta_step: 0.7]
[tweedie_variance_power: 1.5]
[lambdarank_truncation_level: 30]
[lambdarank_norm: 1]
[label_gain: ]
[lambdarank_position_bias_regularization: 0]
[eval_at: ]
[multi_error_top_k: 1]
[auc_mu_weights: ]
[num_machines: 1]
[local_listen_port: 12400]
[time_out: 120]
[machine_list_filename: ]
[machines: ]
[gpu_platform_id: -1]
[gpu_device_id: -1]
[gpu_use_dp: 0]
[num_gpu: 1]

end of parameters

pandas_categorical:null
