diff --git a/models/lgb-es-jp-task-2.txt b/models/lgb-es-jp-task-2.txt
new file mode 100755
index 0000000000000000000000000000000000000000..f079a41cca8e6a0c29e7d267b627e2e63c7201a6
--- /dev/null
+++ b/models/lgb-es-jp-task-2.txt
@@ -0,0 +1,3943 @@
+tree
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+shrinkage=0.1
+
+
+end of trees
+
+feature_importances:
+Column_8=1158
+Column_1=918
+Column_0=880
+Column_2=839
+Column_3=836
+Column_12=283
+Column_10=230
+Column_4=183
+Column_6=161
+Column_7=161
+Column_5=128
+Column_11=124
+Column_9=99
+
+parameters:
+[boosting: gbdt]
+[objective: multiclass]
+[metric: multi_logloss]
+[tree_learner: serial]
+[device_type: cpu]
+[data: ]
+[valid: ]
+[num_iterations: 50]
+[learning_rate: 0.1]
+[num_leaves: 31]
+[num_threads: 0]
+[deterministic: 0]
+[force_col_wise: 0]
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+[min_sum_hessian_in_leaf: 0.001]
+[bagging_fraction: 1]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 0]
+[bagging_seed: 3]
+[feature_fraction: 1]
+[feature_fraction_bynode: 1]
+[feature_fraction_seed: 2]
+[extra_trees: 0]
+[extra_seed: 6]
+[early_stopping_round: 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]
+[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: ]
+[forcedbins_filename: ]
+[precise_float_parser: 0]
+[objective_seed: 5]
+[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
diff --git a/models/lgb-es-jp-task-3.txt b/models/lgb-es-jp-task-3.txt
new file mode 100755
index 0000000000000000000000000000000000000000..8c4fd7c56d56fca81bcce7af276cf55ae798631a
--- /dev/null
+++ b/models/lgb-es-jp-task-3.txt
@@ -0,0 +1,2043 @@
+tree
+version=v3
+num_class=2
+num_tree_per_iteration=2
+label_index=0
+max_feature_idx=12
+objective=multiclass num_class:2
+feature_names=Column_0 Column_1 Column_2 Column_3 Column_4 Column_5 Column_6 Column_7 Column_8 Column_9 Column_10 Column_11 Column_12
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+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 2 -1 26 5 -5 7 -7 10 11 13 14 -13 -3 17 16 -6 18 -10 23 22 -22 -21 -15 -25 -26 -4 28 -28 -30
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+internal_value=0 -1.08107e-05 0.00293539 0.0089934 -7.76176e-05 -0.00383466 -0.176284 -0.357163 -0.000245863 -0.00280525 -3.46811e-05 -0.00225841 -0.00102627 -4.35799e-05 -0.00978655 0.0327799 -0.0883255 -0.0104592 -0.0801392 2.35602e-05 0.0171923 -0.0184889 0.03924 -6.38738e-06 -0.0159722 0.0298843 0.0154248 0.00827582 -0.0353799 -0.225058
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+internal_count=415812 399427 124398 23836 7291 5914 95 52 275029 19397 255632 18897 15185 255607 3712 1377 99 3679 46 253541 492 147 345 253049 458 75 16545 6216 460 46
+is_linear=0
+shrinkage=0.1
+
+
+Tree=99
+num_leaves=31
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+split_gain=11.7161 6.72661 5.0388 6.72369 5.90244 5.26743 7.23489 6.77457 4.86212 8.8871 6.69932 6.21674 6.02701 5.14974 4.69464 4.45686 9.50147 4.2997 5.88294 4.24142 11.3 5.53081 5.45788 4.71942 8.73425 4.75398 4.10969 4.68296 10.226 12.581
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+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 2 -1 26 5 -5 7 -7 10 11 13 14 -13 -3 17 16 -6 18 -10 23 22 -22 -21 -15 -25 -26 -4 28 -28 -30
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+leaf_count=100562 16385 2066 10329 5819 77 31 43 21 23 500 25 62 15123 252591 33 1278 22 3633 23 71 82 65 274 383 43 32 414 5756 26 20
+internal_value=0 1.08107e-05 -0.00293539 -0.0089934 7.76176e-05 0.00383466 0.176284 0.357163 0.000245863 0.00280525 3.46811e-05 0.00225841 0.00102627 4.35799e-05 0.00978655 -0.0327799 0.0883255 0.0104592 0.0801392 -2.35602e-05 -0.0171923 0.0184889 -0.03924 6.38738e-06 0.0159722 -0.0298843 -0.0154248 -0.00827582 0.0353799 0.225058
+internal_weight=0 97133.6 7176.87 1152.51 478.136 429.074 1.76394 0.981237 89956.7 6856.8 83099.9 6702.17 5759.5 83091.7 942.664 49.0617 2.86156 934.178 8.77251 82491.7 143.64 54.8587 88.7814 82348.1 184.728 33.9111 674.371 366.774 23.029 2.53005
+internal_count=415812 399427 124398 23836 7291 5914 95 52 275029 19397 255632 18897 15185 255607 3712 1377 99 3679 46 253541 492 147 345 253049 458 75 16545 6216 460 46
+is_linear=0
+shrinkage=0.1
+
+
+end of trees
+
+feature_importances:
+Column_2=682
+Column_8=680
+Column_3=326
+Column_0=248
+Column_12=248
+Column_1=246
+Column_6=154
+Column_10=120
+Column_7=86
+Column_4=78
+Column_9=62
+Column_11=46
+Column_5=24
+
+parameters:
+[boosting: gbdt]
+[objective: multiclass]
+[metric: multi_logloss]
+[tree_learner: serial]
+[device_type: cpu]
+[data: ]
+[valid: ]
+[num_iterations: 50]
+[learning_rate: 0.1]
+[num_leaves: 31]
+[num_threads: 0]
+[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: 3]
+[feature_fraction: 1]
+[feature_fraction_bynode: 1]
+[feature_fraction_seed: 2]
+[extra_trees: 0]
+[extra_seed: 6]
+[early_stopping_round: 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]
+[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: ]
+[forcedbins_filename: ]
+[precise_float_parser: 0]
+[objective_seed: 5]
+[num_class: 2]
+[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
diff --git a/models/lgb-us-task-2.txt b/models/lgb-us-task-2.txt
new file mode 100755
index 0000000000000000000000000000000000000000..df8af9cb960adb4b2ef9d716eff9c6a3c90d8199
--- /dev/null
+++ b/models/lgb-us-task-2.txt
@@ -0,0 +1,4329 @@
+tree
+version=v3
+num_class=4
+num_tree_per_iteration=4
+label_index=0
+max_feature_idx=12
+objective=multiclass num_class:4
+feature_names=pred_0 pred_1 pred_2 pred_3 label_0 label_1 label_2 label_3 query_count is_isbn has_isbn fold model
+feature_infos=[4.1016679077388975e-05:0.99589009188141076] [8.51456492701344e-06:0.95469721564201671] [0.00022669279637003371:0.98435872614153863] [0.002661388294793272:0.99937459842619214] [0:1] [0:1] [0:1] [0:1] [8:198] [0:1] [0:1] -1:3:1:2:0:4:5 -1:1:0:2
+tree_sizes=3458 3406 3464 3496 3496 3478 3489 3531 3520 3474 3513 3522 3523 3488 3509 3522 3510 3518 3525 3522 3533 3524 3537 3526 3509 3556 3512 3550 3567 3526 3556 3557 3536 3524 3531 3577 3525 3503 3533 3551 3548 3543 3532 3557 3540 3560 3563 3569 3555 3552 3556 3570 3580 3522 3566 3577 3580 3552 3551 3578 3559 3547 3573 3568 3577 3546 3568 3593 3538 3523 3576 3574 3542 3550 3589 3582 3585 3578 3584 3603 3551 3537 3590 3581 3594 3551 3576 3575 3526 3534 3595 3596 3585 3554 3614 3610 3576 3554 3617 3596 3568 3575 3572 3625 3582 3581 3567 3569 3579 3553 3606 3594 3578 3538 3580 3614 3578 3547 3557 3586 3596 3506 3592 3602 3555 3555 3565 3554 3585 3521 3575 3583 3547 3536 3599 3555 3583 3536 3558 3552 3538 3572 3550 3578 3587 3522 3575 3567 3612 3561 3549 3551 3590 3515 3581 3570 3559 3566 3602 3572 3624 3506 3564 3531 3602 3574 3593 3524 3566 3527 3558 3543 3599 3528 3558 3543 3555 3522 3520 3555 3587 3542 3579 3503 3580 3495 3530 3553 3582 3521 3494 3491 3514 3531 3588 3538 3540 3516 3559 3571
+
+Tree=0
+num_leaves=31
+num_cat=0
+split_feature=0 0 0 0 0 0 0 8 8 2 0 3 3 3 0 10 0 8 3 3 8 10 2 8 0 1 2 0 10 3
+split_gain=601860 84738.8 66371.2 12238.8 9997.35 7682.52 7371.41 2187.59 2041.84 1834.96 1747.32 1236.74 1235.52 1005.04 949.685 910.406 901.25 827.597 784.618 771.229 697.688 708.42 677.901 673.025 659.637 640.373 618.7 590.667 482.379 434.408
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+
+
+Tree=1
+num_leaves=31
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+split_feature=1 1 1 1 1 1 1 8 8 1 8 1 8 1 0 2 1 1 8 10 8 3 0 8 8 8 1 1 1 1
+split_gain=436075 52898.8 50899.8 7577.98 7354.73 6033.35 5347.15 2342.53 1851.74 1555.54 1281.45 971.15 928.672 751.115 702.271 681.476 598.601 552.498 414.716 388.309 362.926 352.454 344.483 336.383 323.924 323.416 316.421 300.496 296.621 288.048
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+left_child=2 3 4 10 9 13 8 11 -3 -1 28 19 17 24 27 21 -6 -7 -15 -5 26 23 -10 -8 -4 -17 -12 -9 -2 -14
+right_child=1 6 5 7 16 12 15 14 22 -11 20 -13 29 18 -16 25 -18 -19 -20 -21 -22 -23 -24 -25 -26 -27 -28 -29 -30 -31
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+decision_type=2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
+left_child=-1 5 12 21 -5 -2 11 9 -9 -8 -11 24 13 16 27 26 17 -3 -13 20 -20 -4 -16 -24 -7 -26 -15 28 29 -14
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+cat_boundaries=0 1
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+
+
+Tree=199
+num_leaves=31
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+left_child=1 -1 3 -2 16 6 8 -7 -6 -10 11 -9 13 -4 15 -15 -5 18 23 20 21 22 -20 26 25 -25 -14 -26 -28 -19
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+internal_value=0 -0.0109515 -4.74752e-06 -0.00170768 -0.00433705 0.000153087 0.0349496 -0.000997508 0.0741382 0.0941755 -0.000246938 0.0100139 0.000181383 -0.000636649 -0.000715986 -0.000978114 -0.00879725 0.000580135 0.000159653 0.00508353 0.00342413 0.00861547 0.00553606 -2.10004e-05 -0.00142047 -0.00335787 0.000611949 0.000419422 0.000123487 0.00157672
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+cat_boundaries=0 1 2 3
+cat_threshold=1 1 2
+is_linear=0
+shrinkage=0.1
+
+
+end of trees
+
+feature_importances:
+query_count=1021
+pred_3=950
+pred_0=909
+pred_1=821
+pred_2=751
+model=330
+label_3=280
+label_2=223
+has_isbn=197
+fold=176
+label_0=137
+label_1=127
+is_isbn=78
+
+parameters:
+[boosting: gbdt]
+[objective: multiclass]
+[metric: multi_logloss]
+[tree_learner: serial]
+[device_type: cpu]
+[data: ]
+[valid: ]
+[num_iterations: 50]
+[learning_rate: 0.1]
+[num_leaves: 31]
+[num_threads: 0]
+[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: 3]
+[feature_fraction: 1]
+[feature_fraction_bynode: 1]
+[feature_fraction_seed: 2]
+[extra_trees: 0]
+[extra_seed: 6]
+[early_stopping_round: 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]
+[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: 11,12]
+[forcedbins_filename: ]
+[precise_float_parser: 0]
+[objective_seed: 5]
+[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
diff --git a/models/lgb-us-task-3.txt b/models/lgb-us-task-3.txt
new file mode 100755
index 0000000000000000000000000000000000000000..8ec01f0b5751300f77f8203f72a8d60f91aeae2e
--- /dev/null
+++ b/models/lgb-us-task-3.txt
@@ -0,0 +1,2235 @@
+tree
+version=v3
+num_class=2
+num_tree_per_iteration=2
+label_index=0
+max_feature_idx=12
+objective=multiclass num_class:2
+feature_names=pred_0 pred_1 pred_2 pred_3 label_0 label_1 label_2 label_3 query_count is_isbn has_isbn fold model
+feature_infos=[4.1016679077388975e-05:0.99589009188141076] [8.51456492701344e-06:0.95469721564201671] [0.00022669279637003371:0.98435872614153863] [0.002661388294793272:0.99937459842619214] [0:1] [0:1] [0:1] [0:1] [8:198] [0:1] [0:1] -1:3:1:2:0:4:5 -1:1:0:2
+tree_sizes=3523 3464 3515 3497 3540 3524 3530 3522 3519 3509 3555 3549 3591 3579 3536 3520 3559 3547 3555 3545 3549 3531 3538 3526 3572 3558 3584 3566 3554 3543 3559 3549 3560 3546 3577 3571 3549 3535 3559 3553 3571 3563 3574 3573 3538 3535 3568 3572 3611 3610 3578 3580 3602 3600 3604 3607 3587 3593 3607 3598 3548 3550 3586 3593 3596 3600 3566 3561 3608 3614 3572 3563 3603 3609 3603 3605 3603 3601 3596 3598 3602 3597 3571 3573 3608 3612 3614 3620 3598 3602 3583 3591 3516 3504 3557 3545 3594 3601 3584 3598
+
+Tree=0
+num_leaves=31
+num_cat=2
+split_feature=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 10 0 3 0 3 8 3 8 0 3 11 8 0 11
+split_gain=383434 46614.4 42904.4 5889.37 5391.88 5074.77 4818.52 834.238 776.618 736.195 639.97 592.942 583.502 566.859 462.958 331.676 308.414 306.751 288.492 281.195 259.336 245.507 229.929 211.738 201.065 196.916 179.103 166.431 155.869 144.701
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+
+
+Tree=1
+num_leaves=31
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+cat_boundaries=0 1 2 3
+cat_threshold=4 32 2
+is_linear=0
+shrinkage=0.1
+
+
+end of trees
+
+feature_importances:
+pred_2=760
+query_count=514
+pred_1=310
+pred_3=310
+pred_0=300
+model=252
+label_2=144
+label_3=138
+has_isbn=84
+fold=72
+label_0=58
+is_isbn=50
+label_1=8
+
+parameters:
+[boosting: gbdt]
+[objective: multiclass]
+[metric: multi_logloss]
+[tree_learner: serial]
+[device_type: cpu]
+[data: ]
+[valid: ]
+[num_iterations: 50]
+[learning_rate: 0.1]
+[num_leaves: 31]
+[num_threads: 0]
+[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: 3]
+[feature_fraction: 1]
+[feature_fraction_bynode: 1]
+[feature_fraction_seed: 2]
+[extra_trees: 0]
+[extra_seed: 6]
+[early_stopping_round: 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]
+[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: 11,12]
+[forcedbins_filename: ]
+[precise_float_parser: 0]
+[objective_seed: 5]
+[num_class: 2]
+[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