diff --git "a/models/modelo_cluster_1.txt" "b/models/modelo_cluster_1.txt" new file mode 100644--- /dev/null +++ "b/models/modelo_cluster_1.txt" @@ -0,0 +1,20527 @@ +tree +version=v4 +num_class=1 +num_tree_per_iteration=1 +label_index=0 +max_feature_idx=27 +objective=regression +feature_names=precio_total_lag_1 precio_total_lag_2 precio_total_lag_3 precio_total_lag_4 precio_total_lag_5 precio_total_lag_6 precio_total_lag_7 precio_total_lag_8 precio_total_lag_9 precio_total_lag_10 precio_total_lag_11 precio_total_lag_12 precio_total_lag_13 precio_total_lag_14 precio_total_lag_15 precio_total_lag_16 precio_total_lag_17 precio_total_lag_18 precio_total_lag_19 precio_total_lag_20 precio_total_lag_21 precio_total_lag_22 precio_total_lag_23 precio_total_lag_24 mes marca_id_encoded año cluster_id +feature_infos=[0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:6133.9800000000005] [0:2751.75] [0:2751.75] [0:2751.75] [0:2751.75] [0:2751.75] [0:2751.75] [0:2468.25] [0:2468.25] [0:2468.25] [0:2301.5999999999999] [0:2301.5999999999999] [0:2184.8400000000001] [0:2184.8400000000001] -1:0:1:2:3:4:5:6:7:8:9:10:11 -1:8:93:68:65:3:31:92:23:19:33:36:37:90:60:45:4:15:58:21:28:38:44:46:22:26:59:11:34:39:43:57:10:12:13:25:32:42:78:76:2:6:7:14:16:30:50:56:61:81:0:1:9:24:27:35:41:47:48:53:62:70:80:5:17:18:20:29:40:49:51:52:54:55:66:67:71:72:73:79:83:84:85:63:64:69:74:75:77:82:88:91:87:86 [2022:2023] none +tree_sizes=3405 3232 3231 3306 3306 3710 1931 3042 3055 3871 2998 2994 3072 3075 3104 2751 1623 1962 2913 3126 2633 3097 2637 2562 1607 2043 2198 3223 3161 3715 2923 2899 2890 2875 2817 1809 3667 4583 3953 4003 3459 3461 2045 3548 3540 3458 3284 3378 3294 3212 2893 2330 3052 2797 2013 2339 2554 2567 2213 2997 2264 2661 1708 2668 2427 3912 1955 3177 3666 3528 2657 1394 2910 2246 2254 2172 2082 2698 1630 3077 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15 -14 -2 -1 +right_child=2 -3 -4 -5 -6 6 7 -9 -10 -11 13 -13 14 -15 -16 -17 -18 -19 +leaf_value=-0.053417125101442697 0.079423517130670099 1.2577557980219523 -1.6079887638921324 0.75644943114249941 -0.80844910430908201 0.0094488193747341385 -0.0077722338173124529 1.4740095195770264 -0.55415452480316163 -0.65474284193732513 -0.39056868447197807 0.43598534941673278 -0.19947813111382562 -0.59486740766787061 -0.0034668037516099436 -0.34746414756774907 -0.033577813458713621 -0.12369914612680111 +leaf_weight=54 21 30 23 31 30 8563 45 20 40 33 54 20 74 51 27 20 22 53 +leaf_count=54 21 30 23 31 30 8563 45 20 40 33 54 20 74 51 27 20 22 53 +internal_value=0 0.00712675 -0.294773 0.00293048 0.00030881 0.0030411 0.0101261 0.448161 0.00682832 -0.155585 -0.274187 -0.0660618 -0.127287 -0.447208 -0.180201 -0.230965 0.0216089 -0.0806887 +internal_weight=0 8971 240 8941 8910 8880 8668 65 8603 217 212 184 164 105 121 94 43 107 +internal_count=9211 8971 240 8941 8910 8880 8668 65 8603 217 212 184 164 105 121 94 43 107 +cat_boundaries=0 2 3 +cat_threshold=8192 67108864 2282 +is_linear=0 +shrinkage=0.01 + + +Tree=998 +num_leaves=16 +num_cat=2 +split_feature=25 0 3 4 3 4 0 4 26 24 26 3 26 11 26 +split_gain=172210 358964 221411 391528 156259 133284 367058 130198 182257 128049 98958.1 97040.1 46745.4 13994.7 13664.9 +threshold=0 47.808000000000007 1164.6975000000002 1065.8000000000002 593.34250000000009 344.21500000000003 831.91125000000011 709.65000000000009 2022.5000000000002 1 2022.5000000000002 436.23750000000007 2022.5000000000002 13.620000000000003 2022.5000000000002 +decision_type=9 2 2 2 2 2 2 2 2 1 2 2 2 2 2 +left_child=1 9 3 4 5 6 11 8 -7 14 -3 -2 -11 -14 -1 +right_child=2 10 -4 -5 -6 7 -8 -9 -10 12 -12 -13 13 -15 -16 +leaf_value=0.13762502137352439 0.0074244591985529549 0.96288363292299473 -0.82118771281559022 1.0993279474793058 0.63160121965408322 1.1407394380867482 -0.96700485914181444 -0.30849266919222745 0.15353708208931818 -0.2897254478931427 0.11327037517841046 -0.54429385945200925 -0.58486391773068813 -0.29964245420694352 -0.093865556985724213 +leaf_weight=51 8492 29 32 33 40 32 39 22 45 144 26 32 123 20 51 +leaf_count=51 8492 29 32 33 40 32 39 22 45 144 26 32 123 20 51 +internal_value=0 -0.190641 0.00909283 0.0121449 0.00802206 0.00514245 0.000924666 0.36996 0.563803 -0.30185 0.561248 0.00535325 -0.402867 -0.544973 0.0199262 +internal_weight=0 444 8767 8735 8702 8662 8563 99 77 389 55 8524 287 143 102 +internal_count=9211 444 8767 8735 8702 8662 8563 99 77 389 55 8524 287 143 102 +cat_boundaries=0 2 3 +cat_threshold=532480 67108864 2184 +is_linear=0 +shrinkage=0.01 + + +Tree=999 +num_leaves=20 +num_cat=1 +split_feature=5 25 0 26 14 1 12 1 11 1 0 3 26 0 11 10 11 14 12 +split_gain=224972 139771 416691 148938 126679 240214 164071 761803 109567 133199 125886 81234.4 107938 57527 42684.1 39204.9 26659.7 8284.22 1745.9 +threshold=1435.0600000000002 0 47.808000000000007 2022.5000000000002 47.358000000000011 114.75000000000001 308.62500000000006 9.775500000000001 451.12500000000006 1272.8850000000002 831.91125000000011 252.82950000000002 2022.5000000000002 74.355000000000004 60.425000000000004 71.988140000000001 715.87500000000011 75.840000000000018 465.34500000000008 +decision_type=2 9 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 +left_child=1 2 11 -4 6 13 8 18 9 10 -3 12 -1 14 17 -14 -10 -6 -8 +right_child=-2 4 3 -5 5 -7 7 -9 16 -11 -12 -13 15 -15 -16 -17 -18 -19 -20 +leaf_value=-0.16356567925947871 1.0587166109085084 0.010696069910088608 1.1725422551896838 0.11213765070988582 0.091327745907008651 -1.0637284720738729 -0.082407556555487885 2.0936488796415786 -0.77257232379913332 0.82531980228424073 -0.60815577304724489 0.27015418400367103 -0.45534260911710805 -0.60609694159030914 0.39486049270629886 -0.925787183046341 -0.25624188876152043 -0.12775187707373076 -0.1981307177245617 +leaf_weight=187 20 8368 27 26 20 30 22 21 20 20 33 24 155 20 20 20 20 126 32 +leaf_count=187 20 8368 27 26 20 30 22 21 20 20 33 24 155 20 20 20 20 126 32 +internal_value=0 -0.00303017 -0.175106 0.652344 0.00579461 -0.233365 0.0118532 0.477513 0.00772553 0.0102057 0.00826516 -0.293256 -0.330609 -0.099435 -0.0383914 -0.509108 -0.514407 -0.097741 -0.150984 +internal_weight=0 9191 439 53 8752 216 8536 75 8461 8421 8401 386 362 186 166 175 40 146 54 +internal_count=9211 9191 439 53 8752 216 8536 75 8461 8421 8401 386 362 186 166 175 40 146 54 +cat_boundaries=0 2 +cat_threshold=532480 67108864 +is_linear=0 +shrinkage=0.01 + + +end of trees + +feature_importances: +precio_total_lag_1=2566 +precio_total_lag_2=1790 +precio_total_lag_3=1197 +marca_id_encoded=1168 +precio_total_lag_5=1081 +precio_total_lag_6=1004 +precio_total_lag_4=877 +año=783 +precio_total_lag_11=700 +mes=663 +precio_total_lag_8=492 +precio_total_lag_7=376 +precio_total_lag_13=369 +precio_total_lag_9=356 +precio_total_lag_12=268 +precio_total_lag_10=241 +precio_total_lag_14=208 +precio_total_lag_20=187 +precio_total_lag_19=186 +precio_total_lag_15=169 +precio_total_lag_18=124 +precio_total_lag_17=81 +precio_total_lag_16=80 +precio_total_lag_21=54 +precio_total_lag_23=13 +precio_total_lag_22=1 + +parameters: +[boosting: gbdt] +[objective: regression] +[metric: rmse] +[tree_learner: serial] +[device_type: cpu] +[data_sample_strategy: bagging] +[data: ] +[valid: ] +[num_iterations: 1000] +[learning_rate: 0.01] +[num_leaves: 64] +[num_threads: 0] +[seed: 0] +[deterministic: 0] +[force_col_wise: 0] +[force_row_wise: 0] +[histogram_pool_size: -1] +[max_depth: 7] +[min_data_in_leaf: 20] +[min_sum_hessian_in_leaf: 0.001] +[bagging_fraction: 0.8] +[pos_bagging_fraction: 1] +[neg_bagging_fraction: 1] +[bagging_freq: 5] +[bagging_seed: 3] +[feature_fraction: 0.8] +[feature_fraction_bynode: 1] +[feature_fraction_seed: 2] +[extra_trees: 0] +[extra_seed: 6] +[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: 4] +[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: 1] +[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: 24,25,27] +[forcedbins_filename: ] +[precise_float_parser: 0] +[parser_config_file: ] +[objective_seed: 5] +[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:[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], [3, 4, 5, 9, 10, 12, 13, 14, 15, 16, 19, 21, 23, 25, 28, 29, 31, 37, 39, 40, 41, 42, 44, 49, 50, 52, 53, 57, 58, 62, 63, 64, 66, 68, 69, 72, 74, 75, 77, 78, 79, 83, 85, 89, 91, 93, 96, 98, 99, 101, 103, 105, 109, 110, 115, 118, 119, 121, 123, 124, 128, 129, 131, 134, 136, 138, 139, 140, 142, 144, 146, 152, 153, 154, 159, 160, 161, 162, 164, 165, 168, 171, 173, 183, 187, 191, 225, 235, 247, 268, 273, 277, 287, 288], [1]]