tree
version=v4
num_class=1
num_tree_per_iteration=1
label_index=0
max_feature_idx=5
objective=huber
feature_names=Column_0 Column_1 Column_2 Column_3 Column_4 Column_5
feature_infos=[0.019636734739991724:9.8852100224783808] [0.082657754590872434:9.9780571990984193] [0.00098839712274423341:9.9217384322244904] [0.0029789545569103293:9.8912429173663945] [0.042370616169188358:9.9957727772270815] [0.26027410443060006:9.9578352263541845]
tree_sizes=704 699 695 695 695 779 781 715 716 716

Tree=0
num_leaves=7
num_cat=0
split_feature=5 4 4 2 5 0
split_gain=53.9446 16.2658 10.2268 7.44231 0.850189 0.00557199
threshold=5.9512420652576674 3.3767176949418301 6.8627844215724059 3.9440733778675514 6.7743100778540146 6.8572780349478224
decision_type=2 2 2 2 2 2
left_child=1 -1 4 -3 -2 -5
right_child=2 3 -4 5 -6 -7
leaf_value=-16.988668361886798 -17.097442843578754 -16.922355295978488 -16.967355294786394 -16.787355299554765 -17.147355290018023 -16.791540030501782
leaf_weight=38 20 24 20 35 43 20
leaf_count=38 20 24 20 35 43 20
internal_value=-16.9686 -16.8811 -17.092 -16.8294 -17.1315 -16.7889
internal_weight=200 117 83 79 63 55
internal_count=200 117 83 79 63 55
is_linear=0
shrinkage=1


Tree=1
num_leaves=7
num_cat=0
split_feature=5 4 4 2 5 0
split_gain=53.5081 16.1293 10.1241 7.37119 0.941134 0.0112375
threshold=5.9512420652576674 3.3767176949418301 6.8627844215724059 3.9440733778675514 6.7743100778540146 6.8572780349478224
decision_type=2 2 2 2 2 2
left_child=1 -1 4 -3 -2 -5
right_child=2 3 -4 5 -6 -7
leaf_value=-0.021088719005255323 -0.12748579740524293 0.044999998807907109 0 0.17999999523162843 -0.17999999523162843 0.17405711174011232
leaf_weight=38 20 24 20 35 43 20
leaf_count=38 20 24 20 35 43 20
internal_value=-0.00114973 0.0859809 -0.123972 0.137483 -0.163329 0.177839
internal_weight=200 117 83 79 63 55
internal_count=200 117 83 79 63 55
is_linear=0
shrinkage=0.2


Tree=2
num_leaves=7
num_cat=0
split_feature=5 4 4 2 5 3
split_gain=53.0633 15.9843 10.024 7.29294 1.03474 0.0197929
threshold=5.9512420652576674 3.3767176949418301 6.8627844215724059 3.9440733778675514 6.7743100778540146 6.3851999142075524
decision_type=2 2 2 2 2 2
left_child=1 -1 4 -3 -2 -5
right_child=2 3 -4 5 -6 -7
leaf_value=-0.020866732495395762 -0.12493608236312866 0.044999998807907109 0 0.17999999523162843 -0.17999999523162843 0.17211290076375008
leaf_weight=38 20 24 20 35 43 20
leaf_count=38 20 24 20 35 43 20
internal_value=-0.001047 0.0857207 -0.123358 0.136991 -0.162519 0.177132
internal_weight=200 117 83 79 63 55
internal_count=200 117 83 79 63 55
is_linear=0
shrinkage=0.2


Tree=3
num_leaves=7
num_cat=0
split_feature=5 4 4 2 5 3
split_gain=52.4967 15.7641 9.92643 7.15542 1.13078 0.04084
threshold=5.9512420652576674 3.3767176949418301 6.8627844215724059 3.9440733778675514 6.7743100778540146 6.3851999142075524
decision_type=2 2 2 2 2 2
left_child=1 -1 4 -3 -2 -5
right_child=2 3 -4 5 -6 -7
leaf_value=-0.020647082556235166 -0.12243736028671265 0.044999998807907109 0 0.17999999523162843 -0.17999999523162843 0.16867064297199252
leaf_weight=38 20 24 20 35 43 20
leaf_count=38 20 24 20 35 43 20
internal_value=-0.00109962 0.0852036 -0.122756 0.136119 -0.161726 0.17588
internal_weight=200 117 83 79 63 55
internal_count=200 117 83 79 63 55
is_linear=0
shrinkage=0.2


Tree=4
num_leaves=7
num_cat=0
split_feature=5 4 3 4 5 2
split_gain=51.9749 15.6671 17.0568 9.84088 1.21887 0.87923
threshold=5.9512420652576674 5.2401758013074362 4.9872723565328316 6.8627844215724059 6.7743100778540146 4.8673081543626671
decision_type=2 2 2 2 2 2
left_child=1 2 -1 4 -2 -3
right_child=3 5 -4 -5 -6 -7
leaf_value=0.11999999682108563 -0.12023735284805298 0.1259999966621399 -0.093271868576606118 0 -0.17999999523162843 0.17804784645905367
leaf_weight=30 20 20 30 20 43 37
leaf_count=30 20 20 30 20 43 37
internal_value=-0.00117566 0.0846976 0.0133641 -0.122226 -0.161028 0.159785
internal_weight=200 117 60 83 63 57
internal_count=200 117 60 83 63 57
is_linear=0
shrinkage=0.2


Tree=5
num_leaves=8
num_cat=0
split_feature=5 4 3 4 5 5 0
split_gain=51.865 15.3356 16.7598 9.77775 1.26016 0.914811 4.87975e-05
threshold=5.9512420652576674 5.2401758013074362 4.9872723565328316 6.8627844215724059 6.7743100778540146 4.2772732625523959 5.1964171099365197
decision_type=2 2 2 2 2 2 2
left_child=1 2 -1 4 -2 -3 -6
right_child=3 5 -4 -5 6 -7 -8
leaf_value=0.11999999682108563 -0.11903497934341432 0.17999999523162843 -0.091406431297461191 0 -0.17999999523162843 0.12835481944291488 -0.17957284152507783
leaf_weight=30 20 34 30 20 23 23 20
leaf_count=30 20 34 30 20 23 23 20
internal_value=-0.000910943 0.0848715 0.0142968 -0.121833 -0.16051 0.159161 -0.179801
internal_weight=200 117 60 83 63 57 43
internal_count=200 117 60 83 63 57 43
is_linear=0
shrinkage=0.2


Tree=6
num_leaves=8
num_cat=0
split_feature=5 4 4 2 5 3 0
split_gain=51.5991 15.1028 9.65296 6.97405 1.28541 0.0806421 0.00132148
threshold=5.9512420652576674 3.3767176949418301 6.8627844215724059 3.9440733778675514 6.7743100778540146 6.3851999142075524 5.1964171099365197
decision_type=2 2 2 2 2 2 2
left_child=1 -1 4 -3 -2 -5 -6
right_child=2 3 -4 5 6 -7 -8
leaf_value=-0.018485762884742334 -0.11759381078183651 0.044999998807907109 0 0.17999999523162843 -0.17999999523162843 0.16407998630777001 -0.17777711331844331
leaf_weight=38 20 24 20 35 23 20 20
leaf_count=38 20 24 20 35 23 20 20
internal_value=-0.000441389 0.0851209 -0.121053 0.134957 -0.159483 0.174211 -0.178966
internal_weight=200 117 83 79 63 55 43
internal_count=200 117 83 79 63 55 43
is_linear=0
shrinkage=0.2


Tree=7
num_leaves=7
num_cat=0
split_feature=5 4 3 4 5 5
split_gain=50.8546 15.0162 16.6046 9.52821 1.00712 0.693719
threshold=5.9512420652576674 5.2401758013074362 4.9872723565328316 6.319477794504416 4.2772732625523959 7.2809372462735285
decision_type=2 2 2 2 2 2
left_child=1 2 -1 5 -3 -2
right_child=3 4 -4 -5 -6 -7
leaf_value=0.11999999682108563 -0.1351527612656355 0.17999999523162843 -0.090425692300001789 -0.013811035950978599 0.1258119079729785 -0.17999999523162843
leaf_weight=30 22 34 30 24 23 37
leaf_count=30 22 34 30 24 23 37
internal_value=-0.000319613 0.0846231 0.0147872 -0.120058 0.158135 -0.163277
internal_weight=200 117 60 83 57 59
internal_count=200 117 60 83 57 59
is_linear=0
shrinkage=0.2


Tree=8
num_leaves=7
num_cat=0
split_feature=5 4 3 4 5 5
split_gain=50.6382 14.7356 16.3204 9.42634 1.04819 0.771824
threshold=5.9512420652576674 5.2401758013074362 4.9872723565328316 6.319477794504416 4.2772732625523959 7.2809372462735285
decision_type=2 2 2 2 2 2
left_child=1 2 -1 5 -3 -2
right_child=3 4 -4 -5 -6 -7
leaf_value=0.11999999682108563 -0.13269543837417255 0.17999999523162843 -0.088617178599039725 -0.013695943852265677 0.12471789141064105 -0.17999999523162843
leaf_weight=30 22 34 30 24 23 37
leaf_count=30 22 34 30 24 23 37
internal_value=0.000109969 0.0848718 0.0156914 -0.119374 0.157693 -0.162361
internal_weight=200 117 60 83 57 59
internal_count=200 117 60 83 57 59
is_linear=0
shrinkage=0.2


Tree=9
num_leaves=7
num_cat=0
split_feature=5 4 4 2 5 3
split_gain=50.4246 14.5005 9.32699 6.81806 0.852562 0.126212
threshold=5.9512420652576674 3.3767176949418301 6.319477794504416 3.9440733778675514 7.2809372462735285 6.3851999142075524
decision_type=2 2 2 2 2 2
left_child=1 -1 4 -3 -2 -5
right_child=2 3 -4 5 -6 -7
leaf_value=-0.016406514088770276 -0.13028279393911363 0.044999998807907109 -0.013581810891628266 0.17999999523162843 -0.17999999523162843 0.16008351725526154
leaf_weight=38 22 24 24 35 37 20
leaf_count=38 22 24 24 35 37 20
internal_value=0.000530189 0.085113 -0.118701 0.133945 -0.161461 0.172758
internal_weight=200 117 83 79 59 55
internal_count=200 117 83 79 59 55
is_linear=0
shrinkage=0.2


end of trees

feature_importances:
Column_5=23
Column_4=20
Column_3=8
Column_2=7
Column_0=4

parameters:
[boosting: gbdt]
[objective: huber]
[metric: huber]
[tree_learner: serial]
[device_type: cpu]
[data_sample_strategy: bagging]
[data: ]
[valid: ]
[num_iterations: 10]
[learning_rate: 0.2]
[num_leaves: 12]
[num_threads: 1]
[seed: 90]
[deterministic: 1]
[force_col_wise: 0]
[force_row_wise: 0]
[histogram_pool_size: -1]
[max_depth: -1]
[min_data_in_leaf: 20]
[min_sum_hessian_in_leaf: 0.001]
[bagging_fraction: 1]
[pos_bagging_fraction: 1]
[neg_bagging_fraction: 1]
[bagging_freq: 0]
[bagging_seed: 24804]
[bagging_by_query: 0]
[feature_fraction: 1]
[feature_fraction_bynode: 1]
[feature_fraction_seed: 5447]
[extra_trees: 0]
[extra_seed: 4755]
[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: 23381]
[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: 3]
[bin_construct_sample_cnt: 200000]
[data_random_seed: 332]
[is_enable_sparse: 1]
[enable_bundle: 1]
[use_missing: 1]
[zero_as_missing: 0]
[feature_pre_filter: 1]
[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: 19662]
[num_class: 1]
[is_unbalance: 0]
[scale_pos_weight: 1]
[sigmoid: 1]
[boost_from_average: 1]
[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
