diff --git "a/LightGBM_model.txt" "b/LightGBM_model.txt" deleted file mode 100644--- "a/LightGBM_model.txt" +++ /dev/null @@ -1,15333 +0,0 @@ -tree -version=v3 -num_class=4 -num_tree_per_iteration=4 -label_index=0 -max_feature_idx=2 -objective=multiclass num_class:4 -feature_names=Column_0 Column_1 Column_2 -feature_infos=[0:17.539999999999999] [0:21.949999999999999] [0:20.559999999999999] -tree_sizes=964 962 948 962 980 980 972 981 981 983 977 977 977 978 972 958 983 983 968 865 976 984 974 862 987 981 985 978 980 982 970 975 983 978 973 980 984 981 981 971 984 980 979 970 968 984 964 987 981 977 979 970 964 970 981 982 984 977 970 986 986 977 978 985 990 982 981 982 982 980 980 986 983 983 983 985 987 979 982 980 973 983 972 987 979 972 979 985 986 976 975 978 986 983 985 981 982 975 965 986 972 974 981 988 975 986 978 978 985 979 971 974 985 985 983 961 987 980 971 967 985 987 984 980 975 976 874 985 986 978 979 985 983 977 982 988 987 977 963 984 988 987 983 981 981 983 982 983 978 980 982 880 985 979 983 984 987 982 985 882 987 969 981 980 984 985 985 970 985 972 983 880 975 973 974 979 970 973 979 962 983 979 986 885 985 962 976 985 984 979 982 986 980 970 974 871 972 976 976 877 986 982 990 983 983 977 990 979 976 983 989 982 989 976 983 976 979 984 980 973 981 961 976 983 978 965 990 981 976 962 989 881 983 979 986 990 883 959 975 872 971 975 984 985 662 985 978 974 662 970 983 975 988 981 988 986 985 979 991 981 877 966 989 975 875 975 992 886 664 981 979 989 984 985 991 872 672 981 982 988 987 981 979 985 988 986 977 968 973 973 986 974 986 963 984 971 984 988 971 993 990 994 986 981 991 957 987 979 662 987 978 983 988 989 988 975 868 983 883 983 879 984 988 879 989 977 987 986 988 979 886 980 664 986 978 974 995 985 972 992 857 980 979 983 982 983 987 979 976 986 991 980 991 987 978 984 985 977 984 974 879 978 975 995 983 976 983 978 887 986 984 981 992 981 984 974 985 967 982 975 983 976 974 990 879 978 978 993 854 972 990 987 984 976 985 982 987 980 983 983 990 987 980 988 876 989 986 879 886 975 889 881 984 991 672 880 984 987 987 881 877 988 883 980 990 976 980 990 979 989 985 989 983 976 981 978 982 988 981 985 985 984 669 987 850 972 885 966 992 982 883 980 677 986 989 980 992 972 983 989 671 971 876 881 662 975 667 988 674 991 979 968 980 988 975 988 563 987 888 986 566 974 882 876 985 991 987 989 991 985 970 987 984 883 987 885 989 887 975 875 989 666 970 874 986 987 984 992 983 971 888 982 568 986 987 972 569 981 975 880 984 879 970 974 681 670 984 883 985 987 986 878 987 976 982 885 990 985 868 868 988 989 866 988 993 979 976 984 998 973 981 982 678 665 974 985 984 987 973 875 992 977 980 986 671 874 873 976 774 771 972 979 985 882 984 987 985 981 964 870 988 973 984 862 987 980 981 968 991 985 981 984 872 670 979 672 881 988 978 564 987 884 891 891 980 984 973 669 989 984 871 972 672 997 989 670 982 990 994 978 671 988 876 975 670 869 972 985 885 968 883 967 991 989 984 980 993 984 981 981 671 982 985 986 989 964 980 989 980 565 987 989 978 989 987 983 776 974 986 980 989 981 981 970 987 983 969 974 993 985 976 969 991 769 979 863 986 987 989 980 979 976 875 991 776 986 985 992 992 982 998 985 986 989 986 984 681 985 884 987 876 988 982 982 680 981 985 885 987 977 980 980 986 960 976 986 993 565 979 979 980 987 983 978 781 987 978 882 671 960 881 975 992 976 880 883 879 957 975 980 985 981 982 988 672 674 991 873 992 962 883 973 671 989 978 976 984 665 992 995 872 883 981 873 771 987 975 972 977 988 979 990 668 989 992 975 670 876 984 981 674 884 975 985 674 673 983 973 876 980 991 874 978 673 981 994 673 871 992 988 - 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- -Tree=796 -num_leaves=5 -num_cat=0 -split_feature=0 2 0 2 -split_gain=0.427528 0.355799 1.75379 0.58124 -threshold=5.4450000000000012 15.265000000000002 7.995000000000001 14.745000000000003 -decision_type=2 2 2 2 -left_child=-1 3 -3 -2 -right_child=1 2 -4 -5 -leaf_value=-0.032355490849422547 0.00045370143446098562 0.079236168261335782 0.0029723444705773319 -0.0035104827008753561 -leaf_weight=3.0276918196541365 3166.9682637830701 2.0562691531376904 240.26153724454343 417.76060442355811 -leaf_count=657 42094 141 2442 4814 -internal_value=0 0.00024204 0.0039425 -9.13067e-06 -internal_weight=0 3827.05 242.318 3584.73 -internal_count=50148 49491 2583 46908 -is_linear=0 -shrinkage=0.1 - - -Tree=797 -num_leaves=7 -num_cat=0 -split_feature=2 0 0 2 2 0 -split_gain=0.394725 1.95469 4.86005 1.08688 2.02941 0.801556 -threshold=15.665000000000001 11.205000000000002 10.405000000000003 15.515000000000002 15.545000000000002 13.465000000000002 -decision_type=2 2 2 2 2 2 -left_child=3 2 -2 5 -5 -1 -right_child=1 -3 -4 4 -6 -7 -leaf_value=4.5911453530382948e-05 0.0013643620966341239 -0.056490146516735354 0.11487871244301678 -0.086600310818305992 0.0010386066678061932 0.03698580327637805 -leaf_weight=2413.7016008486189 22.093479250092066 2.7569340279587768 3.5543547144916365 3.148155738366766 7.214285762514919 4.8884586129861409 -leaf_count=48596 549 148 236 108 312 199 -internal_value=0 0.011647 0.0208162 -9.07357e-06 -0.0308649 0.00013583 -internal_weight=0 28.4048 25.6478 2428.95 10.3624 2418.59 -internal_count=50148 933 785 49215 420 48795 -is_linear=0 -shrinkage=0.1 - - -Tree=798 -num_leaves=8 -num_cat=0 -split_feature=2 0 0 2 0 2 0 -split_gain=1.48979 1.83633 1.90166 1.17433 0.742975 1.48594 0.660357 -threshold=12.265000000000002 6.4250000000000007 7.5450000000000008 10.755000000000001 6.035000000000001 14.165000000000001 12.555000000000001 -decision_type=2 2 2 2 2 2 2 -left_child=1 3 -3 -1 5 -2 -6 -right_child=4 2 -4 -5 6 -7 -8 -leaf_value=-0.014520629004086256 -0.010205539797993162 -0.024514649770572786 -0.00085942054180428477 0.0061586464317979171 0.0008522747800764484 0.061232129232216263 -0.024372584280242023 -leaf_weight=35.885952605414786 94.921336263039848 85.113401065261314 56.263228731653726 106.50249066491961 2708.9503712263395 2.0164222236489868 9.4189849456306529 -leaf_count=323 1273 1192 4603 912 41500 87 258 -internal_value=0 -0.00714199 -0.0151728 0.000881958 0.000447912 -0.00810951 0.000755942 -internal_weight=0 283.765 141.377 142.388 2815.31 96.9378 2718.37 -internal_count=50148 7030 5795 1235 43118 1360 41758 -is_linear=0 -shrinkage=0.1 - - -Tree=799 -num_leaves=8 -num_cat=0 -split_feature=1 0 0 1 0 1 0 -split_gain=2.42411 3.71396 2.89323 8.11179 2.41709 1.90923 1.14506 -threshold=7.3850000000000007 6.7250000000000005 7.9150000000000009 8.4250000000000025 9.7550000000000008 5.3950000000000005 5.9250000000000007 -decision_type=2 2 2 2 2 2 2 -left_child=1 5 6 -4 -3 -1 -2 -right_child=2 4 3 -5 -6 -7 -8 -leaf_value=-0.023558143729484532 0.044347471829776025 -0.022601325127301595 -0.020459167926365818 0.001138453622700138 0.036633459317381496 0.002808867715121407 0.0077910529027032287 -leaf_weight=30.011679572227877 7.8073532977141431 142.69677665743529 185.6302736553771 2548.9621990135638 6.3587329606089034 238.9422247181501 411.67325584558421 -leaf_count=529 120 6203 2380 23565 82 5695 11574 -internal_value=0 -0.00724273 0.00085274 -0.000334584 -0.0198471 -0.000209709 0.00857529 -internal_weight=0 418.009 3154.07 2734.59 149.056 268.954 419.481 -internal_count=50148 12509 37639 25945 6285 6224 11694 -is_linear=0 -shrinkage=0.1 - - -end of trees - -feature_importances: -Column_0=2685 -Column_2=1603 -Column_1=1054 - -parameters: -[boosting: gbdt] -[objective: multiclass] -[metric: multi_logloss] -[tree_learner: serial] -[device_type: cpu] -[data: ] -[valid: ] -[num_iterations: 200] -[learning_rate: 0.1] -[num_leaves: 8] -[num_threads: -1] -[deterministic: 0] -[force_col_wise: 0] -[force_row_wise: 0] -[histogram_pool_size: -1] -[max_depth: 3] -[min_data_in_leaf: 20] -[min_sum_hessian_in_leaf: 2] -[bagging_fraction: 0.8] -[pos_bagging_fraction: 1] -[neg_bagging_fraction: 1] -[bagging_freq: 0] -[bagging_seed: 7719] -[feature_fraction: 0.8] -[feature_fraction_bynode: 1] -[feature_fraction_seed: 2437] -[extra_trees: 0] -[extra_seed: 11797] -[early_stopping_round: 50] -[first_metric_only: 0] -[max_delta_step: 0] -[lambda_l1: 0] -[lambda_l2: 1] -[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: 21238] -[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] -[linear_tree: 0] -[max_bin: 255] -[max_bin_by_feature: ] -[min_data_in_bin: 3] -[bin_construct_sample_cnt: 200000] -[data_random_seed: 38] -[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] -[objective_seed: 8855] -[num_class: 4] -[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: ] -[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