tree
version=v4
num_class=1
num_tree_per_iteration=1
label_index=0
max_feature_idx=1
objective=regression
average_output
feature_names=Column_0 Column_1
feature_infos=[0:5] [0:2]
tree_sizes=482 429 489 497 453 427 455 493 452 447 459 433

Tree=0
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=226.875 24 20.8333
threshold=2.5000000000000004 3.5000000000000004 1.0000000180025095e-35
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=2.5000000000000036 11.999999999999998 17.999999999999996 6.6666666666666679
leaf_weight=1.9999999999999998 1.0000000000000002 1.9999999999999998 3
leaf_count=2 1 2 3
internal_value=9.125 16 5
internal_weight=8 3 5
internal_count=8 3 5
is_linear=0
shrinkage=1


Tree=1
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=328.003 40.3333 28.8
threshold=2.5000000000000004 3.5000000000000004 1.5000000000000002
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=4.0000000000000018 12.5 18 10
leaf_weight=4 1.9999999999999998 4 0.99999999999999989
leaf_count=4 2 4 1
internal_value=11.1818 16.1667 5.2
internal_weight=11 6 5
internal_count=11 6 5
is_linear=0
shrinkage=1


Tree=2
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=201.19 36 8.16667
threshold=3.5000000000000004 1.5000000000000002 4.5000000000000009
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=4.5000000000000027 15.999999999999993 10.5 19.499999999999996
leaf_weight=1.9999999999999998 1.0000000000000002 1.9999999999999998 1.9999999999999998
leaf_count=2 1 2 2
internal_value=12.1429 7.5 18.3333
internal_weight=7 4 3
internal_count=7 4 3
is_linear=0
shrinkage=1


Tree=3
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=128.133 28.0333 4.16667
threshold=2.5000000000000004 3.5000000000000004 4.5000000000000009
decision_type=2 2 2
left_child=-1 -2 -3
right_child=1 2 -4
leaf_value=3.0000000000000071 12.5 16.499999999999996 18.999999999999989
leaf_weight=0.99999999999999989 1.9999999999999998 1.9999999999999998 1.0000000000000002
leaf_count=1 2 2 1
internal_value=13.3333 15.4 17.3333
internal_weight=6 5 3
internal_count=6 5 3
is_linear=0
shrinkage=1


Tree=4
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=196.356 49 28.0333
threshold=2.5000000000000004 1.5000000000000002 3.5000000000000004
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=2.5000000000000036 12.5 9.5 17.333333333333332
leaf_weight=1.9999999999999998 1.9999999999999998 1.9999999999999998 3
leaf_count=2 2 2 3
internal_value=11.2222 6 15.4
internal_weight=9 4 5
internal_count=9 4 5
is_linear=0
shrinkage=1


Tree=5
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=248.067 40.3333 21.3333
threshold=2.5000000000000004 3.5000000000000004 1.5000000000000002
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=4.6666666666666687 12.5 18 10
leaf_weight=3 1.9999999999999998 4 0.99999999999999989
leaf_count=3 2 4 1
internal_value=12.1 16.1667 6
internal_weight=10 6 4
internal_count=10 6 4
is_linear=0
shrinkage=1


Tree=6
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=248.067 49 40.3333
threshold=2.5000000000000004 4.5000000000000009 1.5000000000000002
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=4.0000000000000018 12.5 19.499999999999996 9.5
leaf_weight=4 1.9999999999999998 1.9999999999999998 1.9999999999999998
leaf_count=4 2 2 2
internal_value=9.9 16 5.83333
internal_weight=10 4 6
internal_count=10 4 6
is_linear=0
shrinkage=1


Tree=7
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=107.44 30.25 8.16667
threshold=3.5000000000000004 2.5000000000000004 4.5000000000000009
decision_type=2 2 2
left_child=1 -1 -2
right_child=2 -3 -4
leaf_value=7.0000000000000018 16.499999999999996 12.5 19.999999999999986
leaf_weight=1.9999999999999998 1.9999999999999998 1.9999999999999998 1.0000000000000002
leaf_count=2 2 2 1
internal_value=13.1429 9.75 17.6667
internal_weight=7 4 3
internal_count=7 4 3
is_linear=0
shrinkage=1


Tree=8
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=181.5 48.1667 4.5
threshold=1.5000000000000002 3.5000000000000004 1.0000000180025095e-35
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=2.0000000000000053 11.666666666666666 17.333333333333332 5.0000000000000062
leaf_weight=0.99999999999999967 3 3 1
leaf_count=1 3 3 1
internal_value=11.75 14.5 3.5
internal_weight=8 6 2
internal_count=8 6 2
is_linear=0
shrinkage=1


Tree=9
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=200 65.3333 9
threshold=3.5000000000000004 1.5000000000000002 2.5000000000000004
decision_type=2 2 2
left_child=1 -1 -3
right_child=-2 2 -4
leaf_value=4.0000000000000027 18.666666666666664 9.5 12.5
leaf_weight=1.9999999999999998 3 1.9999999999999998 1.9999999999999998
leaf_count=2 3 2 2
internal_value=12 8.66667 11
internal_weight=9 6 4
internal_count=9 6 4
is_linear=0
shrinkage=1


Tree=10
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=174.05 32.0333 30.25
threshold=2.5000000000000004 3.5000000000000004 1.5000000000000002
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=4.0000000000000027 12.5 17.666666666666664 9.5
leaf_weight=1.9999999999999998 1.9999999999999998 3 1.9999999999999998
leaf_count=2 2 3 2
internal_value=11.6667 15.6 6.75
internal_weight=9 5 4
internal_count=9 5 4
is_linear=0
shrinkage=1


Tree=11
num_leaves=4
num_cat=0
split_feature=0 0 0
split_gain=249.603 40.3333 28.0333
threshold=2.5000000000000004 3.5000000000000004 1.5000000000000002
decision_type=2 2 2
left_child=2 -2 -1
right_child=1 -3 -4
leaf_value=4.6666666666666687 12.5 18 9.5
leaf_weight=3 1.9999999999999998 4 1.9999999999999998
leaf_count=3 2 4 2
internal_value=11.8182 16.1667 6.6
internal_weight=11 6 5
internal_count=11 6 5
is_linear=0
shrinkage=1


end of trees

feature_importances:
Column_0=36

parameters:
[boosting: rf]
[objective: regression]
[metric: 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: 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
