diff --git "a/model_q10.txt" "b/model_q10.txt"
new file mode 100644--- /dev/null
+++ "b/model_q10.txt"
@@ -0,0 +1,3596 @@
+tree
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+
+Tree=177
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+Tree=178
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+
+Tree=179
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+leaf_count=30597 179 390 4201 582 77 15357 3910 20 24 1006 2220 868 133 3460 3223 2545 1803 279 30 168 1347 277 737 960 650 919 86 816 142 1183
+internal_value=0.00140168 0.000619867 0.000509104 0.00108577 0.00052433 0.0035021 0.00227751 -0.0102169 1.18608e-05 0.00330097 0.0029272 -0.000260032 -0.021098 0.00226654 -0.00046203 0.00316095 0.000179529 -0.000429992 -0.000944954 -0.00159809 -0.00148796 0.00171154 0.00120472 0.00302899 0.00154037 -0.00145564 -0.00173427 -0.00347126 -0.00933333 -0.000871551
+internal_weight=78189 56980 54370 23773 16112 21209 5852 332 13490 1030 2610 12460 153 7661 11878 2622 7308 5228 4360 3344 4570 2080 1016 5520 1610 3314 3146 1044 228 2102
+internal_count=78189 56980 54370 23773 16112 21209 5852 332 13490 1030 2610 12460 153 7661 11878 2622 7308 5228 4360 3344 4570 2080 1016 5520 1610 3314 3146 1044 228 2102
+is_linear=0
+shrinkage=0.04
+
+
+end of trees
+
+feature_importances:
+rolling_std_4step=1009
+ema_4step=896
+acceleration_1h=419
+hour=398
+diff_1h=350
+diff_2h=238
+quarter=237
+cos_hour=179
+lag_1h=176
+sin_hour=168
+lag_2h=133
+lag_7d=118
+rolling_min_24h=111
+lag_24h=109
+day_of_week=97
+day_of_year=89
+ema_12step=67
+rolling_mean_24h=61
+lag_4h=59
+rolling_max_24h=58
+sin_day_of_year=56
+lag_3h=55
+cos_day_of_year=51
+rolling_mean_7d=44
+is_morning_peak=42
+rolling_std_24h=39
+is_evening_peak=27
+lag_48h=19
+lag_14d=19
+diff_24h=17
+is_holiday=15
+sin_day_of_week=15
+diff_7d=15
+rolling_std_7d=9
+cos_day_of_week=5
+
+parameters:
+[boosting: gbdt]
+[objective: quantile]
+[metric: quantile]
+[tree_learner: serial]
+[device_type: cpu]
+[data_sample_strategy: bagging]
+[data: ]
+[valid: ]
+[num_iterations: 180]
+[learning_rate: 0.04]
+[num_leaves: 31]
+[num_threads: 16]
+[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: 0.1]
+[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_device_id_list: ]
+[gpu_use_dp: 0]
+[num_gpu: 1]
+
+end of parameters
+
+pandas_categorical:[]