tree
version=v4
num_class=1
num_tree_per_iteration=1
label_index=0
max_feature_idx=1
objective=regression_l1
feature_names=Column_0 Column_1
feature_infos=[0:5] [0:2]
tree_sizes=343 343 343 416 417 407 529 529 529 529 524 303

Tree=0
num_leaves=2
num_cat=0
split_feature=0
split_gain=1.77636e-15
threshold=4.5000000000000009
decision_type=2
left_child=-1
right_child=-2
leaf_value=0.95000000000000007 1.9500000000000002
leaf_weight=9.9999999999999982 2.0000000000000009
leaf_count=10 2
internal_value=0.1
internal_weight=12
internal_count=12
is_linear=0
shrinkage=0.1


Tree=1
num_leaves=2
num_cat=0
split_feature=0
split_gain=1.77636e-15
threshold=4.5000000000000009
decision_type=2
left_child=-1
right_child=-2
leaf_value=0.85500000000000009 1.7550000000000001
leaf_weight=9.9999999999999982 2.0000000000000009
leaf_count=10 2
internal_value=0.1
internal_weight=12
internal_count=12
is_linear=0
shrinkage=0.1


Tree=2
num_leaves=2
num_cat=0
split_feature=0
split_gain=1.77636e-15
threshold=4.5000000000000009
decision_type=2
left_child=-1
right_child=-2
leaf_value=0.76950000000000007 1.5795000000000003
leaf_weight=9.9999999999999982 2.0000000000000009
leaf_count=10 2
internal_value=0.1
internal_weight=12
internal_count=12
is_linear=0
shrinkage=0.1


Tree=3
num_leaves=3
num_cat=0
split_feature=0 1
split_gain=1.66667 2
threshold=1.0000000180025095e-35 1.0000000180025095e-35
decision_type=2 2
left_child=1 -1
right_child=-2 -3
leaf_value=-0.05745000000000005 0.99255000000000004 0.042549999999999956
leaf_weight=1.0000000000000009 9.9999999999999982 1
leaf_count=1 10 1
internal_value=0.0833333 0
internal_weight=12 2
internal_count=12 2
is_linear=0
shrinkage=0.1


Tree=4
num_leaves=3
num_cat=0
split_feature=0 1
split_gain=1.66667 2
threshold=1.0000000180025095e-35 1.0000000180025095e-35
decision_type=2 2
left_child=1 -1
right_child=-2 -3
leaf_value=-0.051705000000000029 0.89329500000000006 0.038294999999999968
leaf_weight=1.0000000000000009 9.9999999999999982 1
leaf_count=1 10 1
internal_value=0.0833333 0
internal_weight=12 2
internal_count=12 2
is_linear=0
shrinkage=0.1


Tree=5
num_leaves=3
num_cat=0
split_feature=0 1
split_gain=1.66667 2
threshold=1.0000000180025095e-35 1.0000000180025095e-35
decision_type=2 2
left_child=1 -1
right_child=-2 -3
leaf_value=-0.046534500000000013 0.8039655 0.034465499999999948
leaf_weight=1.0000000000000009 9.9999999999999982 1
leaf_count=1 10 1
internal_value=0.0833333 0
internal_weight=12 2
internal_count=12 2
is_linear=0
shrinkage=0.1


Tree=6
num_leaves=4
num_cat=0
split_feature=0 1 1
split_gain=2.66667 1.33333 0.666667
threshold=1.5000000000000002 1.5000000000000002 1.0000000180025095e-35
decision_type=2 2 2
left_child=1 2 -1
right_child=-2 -3 -4
leaf_value=0.015843949999999964 0.92356894999999994 -0.026431050000000057 0.031018949999999948
leaf_weight=2.0000000000000009 7.9999999999999991 0.99999999999999989 1.0000000000000002
leaf_count=2 8 1 1
internal_value=0.0666667 0 0.0333333
internal_weight=12 4 3
internal_count=12 4 3
is_linear=0
shrinkage=0.1


Tree=7
num_leaves=4
num_cat=0
split_feature=0 1 1
split_gain=2.66667 1.33333 0.666667
threshold=1.5000000000000002 1.5000000000000002 1.0000000180025095e-35
decision_type=2 2 2
left_child=1 2 -1
right_child=-2 -3 -4
leaf_value=0.014259554999999979 0.83121205499999995 -0.023787945000000033 0.027917054999999948
leaf_weight=2.0000000000000009 7.9999999999999991 0.99999999999999989 1.0000000000000002
leaf_count=2 8 1 1
internal_value=0.0666667 0 0.0333333
internal_weight=12 4 3
internal_count=12 4 3
is_linear=0
shrinkage=0.1


Tree=8
num_leaves=4
num_cat=0
split_feature=0 1 1
split_gain=2.66667 1.33333 0.666667
threshold=1.5000000000000002 1.5000000000000002 1.0000000180025095e-35
decision_type=2 2 2
left_child=1 2 -1
right_child=-2 -3 -4
leaf_value=0.012833599500000004 0.74809084950000004 -0.021409150500000074 0.025125349499999939
leaf_weight=2.0000000000000009 7.9999999999999991 0.99999999999999989 1.0000000000000002
leaf_count=2 8 1 1
internal_value=0.0666667 0 0.0333333
internal_weight=12 4 3
internal_count=12 4 3
is_linear=0
shrinkage=0.1


Tree=9
num_leaves=4
num_cat=0
split_feature=0 1 1
split_gain=2.66667 1.33333 0.666667
threshold=1.5000000000000002 1.5000000000000002 1.0000000180025095e-35
decision_type=2 2 2
left_child=1 2 -1
right_child=-2 -3 -4
leaf_value=0.011550239549999987 0.67328176454999999 -0.019268235450000049 0.022612814549999929
leaf_weight=2.0000000000000009 7.9999999999999991 0.99999999999999989 1.0000000000000002
leaf_count=2 8 1 1
internal_value=0.0666667 0 0.0333333
internal_weight=12 4 3
internal_count=12 4 3
is_linear=0
shrinkage=0.1


Tree=10
num_leaves=4
num_cat=0
split_feature=0 1 1
split_gain=2.66667 1.33333 0.666667
threshold=1.5000000000000002 1.5000000000000002 1.0000000180025095e-35
decision_type=2 2 2
left_child=1 2 -1
right_child=-2 -3 -4
leaf_value=0.010395215594999986 0.605953588095 -0.017341411905000027 0.02035153309499993
leaf_weight=2.0000000000000009 7.9999999999999991 0.99999999999999989 1.0000000000000002
leaf_count=2 8 1 1
internal_value=0.0666667 0 0.0333333
internal_weight=12 4 3
internal_count=12 4 3
is_linear=0
shrinkage=0.1


Tree=11
num_leaves=2
num_cat=0
split_feature=0
split_gain=3
threshold=2.5000000000000004
decision_type=2
left_child=-1
right_child=-2
leaf_value=0.0068373045354999558 0.70985822928550002
leaf_weight=6 6
leaf_count=6 6
internal_value=0.05
internal_weight=12
internal_count=12
is_linear=0
shrinkage=0.1


end of trees

feature_importances:
Column_1=13
Column_0=12

parameters:
[boosting: gbdt]
[objective: regression_l1]
[metric: l1]
[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: 1]
[pos_bagging_fraction: 1]
[neg_bagging_fraction: 1]
[bagging_freq: 0]
[bagging_seed: 29656]
[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
