diff --git "a/m2_mos_v1/lgbm_temperature_2m_q75.txt" "b/m2_mos_v1/lgbm_temperature_2m_q75.txt"
new file mode 100644--- /dev/null
+++ "b/m2_mos_v1/lgbm_temperature_2m_q75.txt"
@@ -0,0 +1,6815 @@
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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 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 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 2 2 2 2 2
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+internal_weight=0 947298 946376 468908 3885 992 12678 4697 2017 1793 7981 3352 1681 4629 1242 477468 4023 2040 473445 4094 1398 646 1983 413 642 3156 470 1499 901 465023 321444 223678 70565 69735 38263 4143 34120 97766 72269 25497 22210 21829 20712 2909 1333 17803 9609 1117 9774 8761 2950 987 696 3287 8194 7993 5419 4837 2574 1007 1406 8913 7938 7215 6440 62495 31472 5811 3018 1584 153113 136335 9808 16778 14882 5470 126527 33083 9084 671 8413 7525 2270 1973 1555 839 93444 86985 38691 48294 1576 1585 449 60855 830
+internal_count=959976 947298 946376 468908 3885 992 12678 4697 2017 1793 7981 3352 1681 4629 1242 477468 4023 2040 473445 4094 1398 646 1983 413 642 3156 470 1499 901 465023 321444 223678 70565 69735 38263 4143 34120 97766 72269 25497 22210 21829 20712 2909 1333 17803 9609 1117 9774 8761 2950 987 696 3287 8194 7993 5419 4837 2574 1007 1406 8913 7938 7215 6440 62495 31472 5811 3018 1584 153113 136335 9808 16778 14882 5470 126527 33083 9084 671 8413 7525 2270 1973 1555 839 93444 86985 38691 48294 1576 1585 449 60855 830
+is_linear=0
+shrinkage=0.08
+
+
+end of trees
+
+feature_importances:
+Column_21=4860
+Column_24=4234
+Column_25=4092
+Column_23=3481
+Column_22=3214
+Column_15=1381
+Column_17=1371
+Column_19=1355
+Column_13=1144
+Column_20=1097
+Column_1=933
+Column_4=780
+Column_8=627
+Column_3=612
+Column_0=607
+Column_2=512
+Column_7=473
+Column_6=458
+Column_16=395
+Column_9=373
+Column_5=342
+Column_11=314
+Column_14=248
+Column_12=155
+Column_18=138
+Column_28=54
+
+parameters:
+[boosting: gbdt]
+[objective: quantile]
+[metric: quantile]
+[tree_learner: serial]
+[device_type: cpu]
+[data_sample_strategy: bagging]
+[data: ]
+[valid: ]
+[num_iterations: 350]
+[learning_rate: 0.08]
+[num_leaves: 96]
+[num_threads: 0]
+[seed: 42]
+[deterministic: 0]
+[force_col_wise: 0]
+[force_row_wise: 0]
+[histogram_pool_size: -1]
+[max_depth: -1]
+[min_data_in_leaf: 200]
+[min_sum_hessian_in_leaf: 0.001]
+[bagging_fraction: 0.8]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 1]
+[bagging_seed: 400]
+[feature_fraction: 0.85]
+[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: 0.75]
+[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:null