tree version=v4 num_class=1 num_tree_per_iteration=1 label_index=0 max_feature_idx=9 objective=lambdarank feature_names=recent_runs recent_win_rate recent_top3_rate recent_avg_finish recent_best_finish recent_avg_time recent_graded_top5_rate experience_score distance_m surface_turf feature_infos=[0:10] [0:1] [0:1] [1:99] [1:99] none none [0:1] [1000:4260] none tree_sizes=3434 3419 Tree=0 num_leaves=31 num_cat=0 split_feature=3 0 3 4 0 3 2 0 8 1 3 3 2 4 1 3 4 0 8 8 3 3 2 3 3 3 2 2 4 3 split_gain=117.093 25.3166 16.1989 15.5909 3.37944 3.24111 3.71511 2.96045 4.23829 2.49902 3.05277 2.85638 2.26522 4.10052 2.8862 2.34556 2.14226 2.91008 2.10405 1.90522 1.87478 1.69117 2.59293 3.01486 1.57384 1.53314 3.78165 1.62116 1.52916 3.36193 threshold=6.2111111111111121 1.0000000180025095e-35 4.1055555555555561 4.5000000000000009 4.5000000000000009 6.8166666666666673 0.5634920634920636 5.5000000000000009 2940.0000000000005 1.0000000180025095e-35 2.683333333333334 3.4722222222222228 0.2678571428571429 1.5000000000000002 0.11805555555555557 4.8166666666666673 5.5000000000000009 2.5000000000000004 2870.0000000000005 1350.0000000000002 4.2111111111111121 3.8944444444444448 0.58571428571428574 3.7071428571428577 6.0500000000000007 5.8452380952380958 0.35416666666666669 0.31666666666666671 10.500000000000002 12.775000000000002 decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 left_child=2 -2 9 5 16 -3 7 -7 -9 10 -1 -11 13 -4 -14 -15 -5 28 24 -13 -16 22 -21 -24 -17 27 -27 -22 29 -18 right_child=1 3 12 4 -6 6 -8 8 -10 11 -12 19 14 15 20 18 17 -19 -20 21 25 -23 23 -25 -26 26 -28 -29 -30 -31 leaf_value=0.065003107185378134 -0.0028125950901727211 0.00020402583153322396 -0.060476357157067839 -0.029266544499032411 -0.094690293260081118 -0.020053619288962734 0.10000000000000001 -0.062412512097923201 0.054716050099073245 0.039740010502602729 0.039665773474352982 0.043485185930973176 0.026866500360585445 0.041389239405040128 -0.070297833402256205 0.0044688307891068615 -0.046868242706756942 -0.077945052861120051 -0.080144605934160576 -0.052339035192927201 -0.098444694303947394 0.023466467174056881 0.04411182151829493 -0.099999999999999811 -0.098906094247213916 0.073832952656290959 -0.045119015447579042 0.002386374869544473 -0.063395126208675864 0.070051589777451392 leaf_weight=17.871835157304304 60.836632263497449 14.127775104134342 2.52124346349592 7.7975003517203723 5.4946279826390301 20.885597836066161 0.55193174630403419 9.439795867830977 0.84115446140640493 37.621390068889013 35.506575686333235 3.6866106485176706 32.340470653754892 4.0326978434168295 0.83934295096696843 24.505948530102621 28.689939139716447 13.090963912778532 0.78655083230114442 2.6871069702174264 0.40877447204548545 4.563280748942816 2.0436596317831577 0.44128049258142699 0.37380562117323179 2.2098220554180439 0.9577361479459795 16.075272746878909 16.489319075844833 0.62828992900904168 leaf_count=502 5253 736 208 543 396 1061 6 762 24 1404 1436 120 1385 147 64 1390 2366 889 56 176 56 191 78 37 34 45 85 799 1598 12 internal_value=-8.45778e-10 -0.0290141 0.0273909 -0.0425184 -0.0569997 -0.0197157 -0.0285882 -0.0308654 -0.0528294 0.0405852 0.0481491 0.0326752 0.0111917 0.000742954 0.0175641 0.00594006 -0.0538947 -0.0571551 0.000370271 0.0128728 0.00288232 0.00128039 -0.0182943 0.0185202 0.00291568 0.00600793 0.0378669 -0.000114053 -0.0512138 -0.0443626 internal_weight=368.347 178.874 189.473 118.037 72.1906 45.8463 31.7185 31.1665 10.281 104.422 53.3784 51.0433 85.0517 32.2202 52.8314 29.699 66.696 58.8985 25.6663 13.4219 20.4909 9.73533 5.17205 2.48494 24.8798 19.6516 3.16756 16.484 45.8075 29.3182 internal_count=21859 13646 8213 8393 5804 2589 1853 1847 786 3944 1938 2006 4269 1835 2434 1627 5408 4865 1480 602 1049 482 291 115 1424 985 130 855 3976 2378 is_linear=0 shrinkage=0.05 Tree=1 num_leaves=31 num_cat=0 split_feature=2 3 0 4 0 1 3 3 8 0 3 8 0 8 3 8 2 8 0 8 3 0 3 0 0 8 3 3 4 0 split_gain=109.981 15.6555 29.3023 13.7663 6.78748 5.83221 8.89333 7.53852 5.26443 5.47484 5.0414 4.61142 5.06794 4.25535 4.41855 4.05739 3.81636 4.98404 7.21042 7.50757 4.28432 3.72031 3.50026 9.35246 7.6303 5.35056 4.31794 10.5929 3.30437 3.12172 threshold=0.18333333333333338 6.0500000000000007 1.0000000180025095e-35 5.5000000000000009 2.5000000000000004 1.0000000180025095e-35 2.2678571428571432 7.5357142857142865 3185.0000000000005 3.5000000000000004 6.4722222222222232 1075.0000000000002 6.5000000000000009 1750.0000000000002 7.4722222222222232 1175.0000000000002 0.38750000000000007 1950.0000000000002 4.5000000000000009 1750.0000000000002 6.6125000000000007 2.5000000000000004 8.3541666666666696 3.5000000000000004 4.5000000000000009 1250.0000000000002 6.8166666666666673 7.5357142857142865 10.500000000000002 6.5000000000000009 decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 left_child=1 -1 -3 10 28 6 21 8 -7 -10 -4 -12 22 -14 -15 -9 17 18 19 -8 -21 -2 24 25 -13 -24 -26 -28 -5 -19 right_child=5 2 3 4 -6 7 16 15 9 -11 11 12 13 14 -16 -17 -18 29 -20 20 -22 -23 23 -25 26 -27 27 -29 -30 -31 leaf_value=-0.0030922733158216761 0.029656391962424325 -0.007319202154402172 -0.071566292696631964 -0.033817279425129208 -0.068303716841435339 0.009388983578063349 0.00098042938260594443 0.06708930584894636 0.0020295554245950104 -0.090126079967654329 -0.098588712587840813 -0.013743326427673239 -0.086720247696920411 -0.098622292761320812 0.0039636829130382731 -0.057087319401514881 0.01695598366372883 0.039246008292045019 0.019219346088937619 -0.027521204354354248 -0.097278783386406054 0.07006514308736865 -0.097634732261529467 -0.079904744953602794 0.067881728666321542 0.019240770221399538 -0.088643139815513305 0.046665591469161147 -0.052260684091634903 -0.023504569319147975 leaf_weight=121.1416151606245 55.019094361923635 152.88520112361584 4.1699354890733948 71.957013529055985 26.410429589013802 330.19066499327528 44.057463889475912 0.7352951830252995 3.9630145290866485 2.7162558564450592 1.6049949491862197 28.066154465544969 3.8617065416328824 1.358714837930165 4.6144739461051358 6.2431502103572711 216.88424447910802 14.475644839869348 34.56849100603722 12.657331837574018 2.6644432358443728 6.3537630736827841 1.1263042473001386 5.4043468977324656 5.2369988681748492 7.5000490699894726 2.0248663344391389 5.0636603127932176 36.657268932161969 2.2963969565462312 leaf_count=1698 348 5253 131 2378 1126 3957 516 10 32 57 59 604 240 53 146 225 1955 107 483 158 93 18 42 183 31 150 83 79 1598 46 internal_value=1.82033e-10 -0.0186289 -0.0238872 -0.0362398 -0.0455698 0.0121787 0.0163725 0.00743443 0.00849999 -0.0354473 -0.0182512 -0.0148756 -0.0127847 -0.0458162 -0.0193714 -0.0440032 0.0131001 0.00554712 0.00106485 -0.00950406 -0.039652 0.0338398 -0.0068154 -0.0283302 0.000658116 0.00398086 0.0334513 0.0080141 -0.0400419 0.0306543 internal_weight=1211.91 479.084 357.942 205.057 135.025 732.825 388.977 343.848 336.87 6.67927 70.0322 65.8623 64.2573 9.8349 5.97319 6.97845 327.604 110.72 93.9477 59.3792 15.3218 61.3729 54.4224 14.0307 40.3917 8.62635 12.3255 7.08853 108.614 16.772 internal_count=21859 13854 12156 6903 5102 8005 3724 4281 4046 89 1801 1670 1611 439 199 235 3358 1403 1250 767 251 366 1172 375 797 192 193 162 3976 153 is_linear=0 shrinkage=0.05 end of trees feature_importances: recent_avg_finish=21 recent_runs=13 distance_m=10 recent_top3_rate=7 recent_best_finish=6 recent_win_rate=3 parameters: [boosting: gbdt] [objective: lambdarank] [metric: ndcg] [tree_learner: serial] [device_type: cpu] [data_sample_strategy: bagging] [data: ] [valid: ] [num_iterations: 500] [learning_rate: 0.05] [num_leaves: 31] [num_threads: 4] [seed: 42] [deterministic: 0] [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: 400] [bagging_by_query: 0] [feature_fraction: 1] [feature_fraction_bynode: 1] [feature_fraction_seed: 30056] [extra_trees: 0] [extra_seed: 12879] [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: 17869] [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: 175] [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: 16083] [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: 1,2,3,4,5] [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:[]