{
  "trained_at": "2026-05-10 19:48:06",
  "trainer": "v25_pro",
  "optuna_trials": 50,
  "total_features": 114,
  "markets": {
    "MS": {
      "market": "MS",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.022329400652878233,
        "subsample": 0.6690795757813364,
        "colsample_bytree": 0.5042256538541441,
        "min_child_weight": 6,
        "gamma": 9.960129417155444e-05,
        "reg_lambda": 0.5132295377582388,
        "reg_alpha": 6.804503659726287e-08
      },
      "lgb_best_params": {
        "max_depth": 4,
        "learning_rate": 0.023142410802706542,
        "feature_fraction": 0.5728681432360808,
        "bagging_fraction": 0.6781774410065095,
        "bagging_freq": 2,
        "min_child_samples": 26,
        "lambda_l1": 3.25216937188593e-05,
        "lambda_l2": 4.8081236902660474e-08
      },
      "xgb_best_iteration": 643,
      "lgb_best_iteration": 441,
      "xgb_optuna_best_logloss": 0.9155,
      "lgb_optuna_best_logloss": 0.9146,
      "test_xgb_raw": {
        "accuracy": 0.5442,
        "logloss": 0.943
      },
      "test_xgb_calibrated": {
        "accuracy": 0.5404,
        "logloss": 0.9438
      },
      "test_lgb_raw": {
        "accuracy": 0.5427,
        "logloss": 0.943
      },
      "test_lgb_calibrated": {
        "accuracy": 0.5417,
        "logloss": 0.9447
      },
      "test_ensemble_raw": {
        "accuracy": 0.5437,
        "logloss": 0.9426
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.5418,
        "logloss": 0.9435
      }
    },
    "OU15": {
      "market": "OU15",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 5,
        "eta": 0.020779487257177966,
        "subsample": 0.8109935286948485,
        "colsample_bytree": 0.9525413847213635,
        "min_child_weight": 6,
        "gamma": 0.35330347775044696,
        "reg_lambda": 5.373541021746059e-07,
        "reg_alpha": 0.2959430087754284
      },
      "lgb_best_params": {
        "max_depth": 6,
        "learning_rate": 0.013402310027682367,
        "feature_fraction": 0.7404728146233901,
        "bagging_fraction": 0.9712026511549247,
        "bagging_freq": 6,
        "min_child_samples": 39,
        "lambda_l1": 0.39893027986899576,
        "lambda_l2": 0.0626443611997599
      },
      "xgb_best_iteration": 353,
      "lgb_best_iteration": 370,
      "xgb_optuna_best_logloss": 0.499,
      "lgb_optuna_best_logloss": 0.4989,
      "test_xgb_raw": {
        "accuracy": 0.7521,
        "logloss": 0.5267
      },
      "test_xgb_calibrated": {
        "accuracy": 0.7521,
        "logloss": 0.5344
      },
      "test_lgb_raw": {
        "accuracy": 0.7528,
        "logloss": 0.5261
      },
      "test_lgb_calibrated": {
        "accuracy": 0.7505,
        "logloss": 0.5362
      },
      "test_ensemble_raw": {
        "accuracy": 0.7518,
        "logloss": 0.5261
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.7522,
        "logloss": 0.5364
      }
    },
    "OU25": {
      "market": "OU25",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 5,
        "eta": 0.01274409160014454,
        "subsample": 0.8300258899365814,
        "colsample_bytree": 0.7336425662264429,
        "min_child_weight": 9,
        "gamma": 2.5382243933649716e-06,
        "reg_lambda": 5.096723080351853e-05,
        "reg_alpha": 0.00040919711449493223
      },
      "lgb_best_params": {
        "max_depth": 6,
        "learning_rate": 0.02301514680733822,
        "feature_fraction": 0.9569492061944688,
        "bagging_fraction": 0.7249143523144639,
        "bagging_freq": 1,
        "min_child_samples": 40,
        "lambda_l1": 9.954995248644963e-08,
        "lambda_l2": 3.82413187126927e-06
      },
      "xgb_best_iteration": 475,
      "lgb_best_iteration": 235,
      "xgb_optuna_best_logloss": 0.6202,
      "lgb_optuna_best_logloss": 0.62,
      "test_xgb_raw": {
        "accuracy": 0.6221,
        "logloss": 0.6352
      },
      "test_xgb_calibrated": {
        "accuracy": 0.6226,
        "logloss": 0.6344
      },
      "test_lgb_raw": {
        "accuracy": 0.6236,
        "logloss": 0.6348
      },
      "test_lgb_calibrated": {
        "accuracy": 0.6231,
        "logloss": 0.6343
      },
      "test_ensemble_raw": {
        "accuracy": 0.6239,
        "logloss": 0.6349
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.6236,
        "logloss": 0.6338
      }
    },
    "OU35": {
      "market": "OU35",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.012538827444713596,
        "subsample": 0.7947923612828379,
        "colsample_bytree": 0.9717654601553765,
        "min_child_weight": 6,
        "gamma": 0.011265216242399128,
        "reg_lambda": 0.12152579364613436,
        "reg_alpha": 0.013995120492957489
      },
      "lgb_best_params": {
        "max_depth": 6,
        "learning_rate": 0.013456307557939324,
        "feature_fraction": 0.8208768633332759,
        "bagging_fraction": 0.929472334516626,
        "bagging_freq": 6,
        "min_child_samples": 35,
        "lambda_l1": 0.05522724221034949,
        "lambda_l2": 0.21689047644122147
      },
      "xgb_best_iteration": 696,
      "lgb_best_iteration": 412,
      "xgb_optuna_best_logloss": 0.552,
      "lgb_optuna_best_logloss": 0.5515,
      "test_xgb_raw": {
        "accuracy": 0.7314,
        "logloss": 0.5466
      },
      "test_xgb_calibrated": {
        "accuracy": 0.7293,
        "logloss": 0.5482
      },
      "test_lgb_raw": {
        "accuracy": 0.73,
        "logloss": 0.5462
      },
      "test_lgb_calibrated": {
        "accuracy": 0.7298,
        "logloss": 0.5485
      },
      "test_ensemble_raw": {
        "accuracy": 0.7312,
        "logloss": 0.5462
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.7301,
        "logloss": 0.5478
      }
    },
    "BTTS": {
      "market": "BTTS",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.023533647209064805,
        "subsample": 0.7469060816054074,
        "colsample_bytree": 0.8445418254808608,
        "min_child_weight": 8,
        "gamma": 1.0503733400514561e-08,
        "reg_lambda": 2.0919595769527735e-06,
        "reg_alpha": 0.027277017326535417
      },
      "lgb_best_params": {
        "max_depth": 4,
        "learning_rate": 0.03900730648793646,
        "feature_fraction": 0.6968255358438369,
        "bagging_fraction": 0.7078349435778689,
        "bagging_freq": 1,
        "min_child_samples": 46,
        "lambda_l1": 1.1796591413903922e-05,
        "lambda_l2": 1.574367227995052e-08
      },
      "xgb_best_iteration": 462,
      "lgb_best_iteration": 339,
      "xgb_optuna_best_logloss": 0.6557,
      "lgb_optuna_best_logloss": 0.6554,
      "test_xgb_raw": {
        "accuracy": 0.5908,
        "logloss": 0.6637
      },
      "test_xgb_calibrated": {
        "accuracy": 0.5885,
        "logloss": 0.6647
      },
      "test_lgb_raw": {
        "accuracy": 0.5891,
        "logloss": 0.6638
      },
      "test_lgb_calibrated": {
        "accuracy": 0.5891,
        "logloss": 0.6702
      },
      "test_ensemble_raw": {
        "accuracy": 0.5892,
        "logloss": 0.6635
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.5885,
        "logloss": 0.6655
      }
    },
    "HT_RESULT": {
      "market": "HT_RESULT",
      "samples": 103641,
      "train": 62184,
      "val": 15546,
      "cal": 10364,
      "test": 15547,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.01736265891311687,
        "subsample": 0.8370935625192159,
        "colsample_bytree": 0.8091927356001175,
        "min_child_weight": 9,
        "gamma": 0.0006570311316367184,
        "reg_lambda": 0.5206211670360164,
        "reg_alpha": 0.0004530536252850605
      },
      "lgb_best_params": {
        "max_depth": 4,
        "learning_rate": 0.04842652289664568,
        "feature_fraction": 0.6277272818879166,
        "bagging_fraction": 0.9526964840164693,
        "bagging_freq": 3,
        "min_child_samples": 23,
        "lambda_l1": 0.09429192580834124,
        "lambda_l2": 5.5433175427148124e-08
      },
      "xgb_best_iteration": 516,
      "lgb_best_iteration": 136,
      "xgb_optuna_best_logloss": 1.0128,
      "lgb_optuna_best_logloss": 1.0126,
      "test_xgb_raw": {
        "accuracy": 0.4689,
        "logloss": 1.0174
      },
      "test_xgb_calibrated": {
        "accuracy": 0.4685,
        "logloss": 1.0193
      },
      "test_lgb_raw": {
        "accuracy": 0.4696,
        "logloss": 1.018
      },
      "test_lgb_calibrated": {
        "accuracy": 0.4685,
        "logloss": 1.0248
      },
      "test_ensemble_raw": {
        "accuracy": 0.4699,
        "logloss": 1.0172
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.4693,
        "logloss": 1.0195
      }
    },
    "HT_OU05": {
      "market": "HT_OU05",
      "samples": 103641,
      "train": 62184,
      "val": 15546,
      "cal": 10364,
      "test": 15547,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.02440515089624656,
        "subsample": 0.7173767988211683,
        "colsample_bytree": 0.5705266148307722,
        "min_child_weight": 10,
        "gamma": 0.00010295747493868653,
        "reg_lambda": 0.00048367003442154754,
        "reg_alpha": 0.00018303274057896783
      },
      "lgb_best_params": {
        "max_depth": 4,
        "learning_rate": 0.043477055106943,
        "feature_fraction": 0.5704621124873813,
        "bagging_fraction": 0.9208787923016158,
        "bagging_freq": 1,
        "min_child_samples": 50,
        "lambda_l1": 0.015064619068942013,
        "lambda_l2": 6.143857495033091e-07
      },
      "xgb_best_iteration": 315,
      "lgb_best_iteration": 133,
      "xgb_optuna_best_logloss": 0.5756,
      "lgb_optuna_best_logloss": 0.5757,
      "test_xgb_raw": {
        "accuracy": 0.7021,
        "logloss": 0.5949
      },
      "test_xgb_calibrated": {
        "accuracy": 0.7011,
        "logloss": 0.5976
      },
      "test_lgb_raw": {
        "accuracy": 0.7009,
        "logloss": 0.5954
      },
      "test_lgb_calibrated": {
        "accuracy": 0.7019,
        "logloss": 0.6002
      },
      "test_ensemble_raw": {
        "accuracy": 0.7012,
        "logloss": 0.5947
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.7016,
        "logloss": 0.5994
      }
    },
    "HT_OU15": {
      "market": "HT_OU15",
      "samples": 103641,
      "train": 62184,
      "val": 15546,
      "cal": 10364,
      "test": 15547,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.032235943414662994,
        "subsample": 0.9298749893021518,
        "colsample_bytree": 0.8077813949235508,
        "min_child_weight": 8,
        "gamma": 0.00020929324388600622,
        "reg_lambda": 3.2154973975232725e-05,
        "reg_alpha": 1.5945155621686738e-08
      },
      "lgb_best_params": {
        "max_depth": 5,
        "learning_rate": 0.013909897616748226,
        "feature_fraction": 0.5585477334219859,
        "bagging_fraction": 0.9398770580467641,
        "bagging_freq": 2,
        "min_child_samples": 22,
        "lambda_l1": 0.001865897980802303,
        "lambda_l2": 2.6934572591055333e-06
      },
      "xgb_best_iteration": 188,
      "lgb_best_iteration": 387,
      "xgb_optuna_best_logloss": 0.616,
      "lgb_optuna_best_logloss": 0.6159,
      "test_xgb_raw": {
        "accuracy": 0.6749,
        "logloss": 0.6109
      },
      "test_xgb_calibrated": {
        "accuracy": 0.6747,
        "logloss": 0.6137
      },
      "test_lgb_raw": {
        "accuracy": 0.6745,
        "logloss": 0.6112
      },
      "test_lgb_calibrated": {
        "accuracy": 0.6745,
        "logloss": 0.6201
      },
      "test_ensemble_raw": {
        "accuracy": 0.674,
        "logloss": 0.6109
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.6744,
        "logloss": 0.6174
      }
    },
    "HTFT": {
      "market": "HTFT",
      "samples": 103641,
      "train": 62184,
      "val": 15546,
      "cal": 10364,
      "test": 15547,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.015239309183459821,
        "subsample": 0.7923828997985648,
        "colsample_bytree": 0.686316507387916,
        "min_child_weight": 6,
        "gamma": 0.005249577944740401,
        "reg_lambda": 2.1813455810361064e-08,
        "reg_alpha": 3.454483107951557e-06
      },
      "lgb_best_params": {
        "max_depth": 4,
        "learning_rate": 0.010347899501864056,
        "feature_fraction": 0.9585697341293057,
        "bagging_fraction": 0.9413628962257758,
        "bagging_freq": 2,
        "min_child_samples": 36,
        "lambda_l1": 0.0015332771659626943,
        "lambda_l2": 7.3640280079715765
      },
      "xgb_best_iteration": 714,
      "lgb_best_iteration": 602,
      "xgb_optuna_best_logloss": 1.7863,
      "lgb_optuna_best_logloss": 1.7862,
      "test_xgb_raw": {
        "accuracy": 0.3349,
        "logloss": 1.8179
      },
      "test_xgb_calibrated": {
        "accuracy": 0.3332,
        "logloss": 1.824
      },
      "test_lgb_raw": {
        "accuracy": 0.3367,
        "logloss": 1.8187
      },
      "test_lgb_calibrated": {
        "accuracy": 0.335,
        "logloss": 1.8338
      },
      "test_ensemble_raw": {
        "accuracy": 0.3363,
        "logloss": 1.8176
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.3338,
        "logloss": 1.828
      }
    },
    "ODD_EVEN": {
      "market": "ODD_EVEN",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 8,
        "eta": 0.01010929937405026,
        "subsample": 0.9492996501687384,
        "colsample_bytree": 0.9061960005014683,
        "min_child_weight": 7,
        "gamma": 2.664416507237002e-08,
        "reg_lambda": 0.0003748192960525308,
        "reg_alpha": 0.005287068300306146
      },
      "lgb_best_params": {
        "max_depth": 8,
        "learning_rate": 0.0634879805509945,
        "feature_fraction": 0.9993568368122896,
        "bagging_fraction": 0.9246236397710591,
        "bagging_freq": 3,
        "min_child_samples": 16,
        "lambda_l1": 0.0016414429853061781,
        "lambda_l2": 6.112007631403553e-05
      },
      "xgb_best_iteration": 322,
      "lgb_best_iteration": 55,
      "xgb_optuna_best_logloss": 0.6777,
      "lgb_optuna_best_logloss": 0.6762,
      "test_xgb_raw": {
        "accuracy": 0.5216,
        "logloss": 0.684
      },
      "test_xgb_calibrated": {
        "accuracy": 0.5236,
        "logloss": 0.6834
      },
      "test_lgb_raw": {
        "accuracy": 0.5279,
        "logloss": 0.6826
      },
      "test_lgb_calibrated": {
        "accuracy": 0.5274,
        "logloss": 0.6861
      },
      "test_ensemble_raw": {
        "accuracy": 0.5239,
        "logloss": 0.6828
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.5236,
        "logloss": 0.6861
      }
    },
    "CARDS_OU45": {
      "market": "CARDS_OU45",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 8,
        "eta": 0.010098671964329344,
        "subsample": 0.9969616653360747,
        "colsample_bytree": 0.5085930751344795,
        "min_child_weight": 10,
        "gamma": 0.8600893137103568,
        "reg_lambda": 7.556243125116086,
        "reg_alpha": 0.5596869360839299
      },
      "lgb_best_params": {
        "max_depth": 8,
        "learning_rate": 0.0183440412249233,
        "feature_fraction": 0.5416111323291537,
        "bagging_fraction": 0.9754210612419695,
        "bagging_freq": 2,
        "min_child_samples": 5,
        "lambda_l1": 0.09157782079463243,
        "lambda_l2": 2.559000594641019
      },
      "xgb_best_iteration": 973,
      "lgb_best_iteration": 503,
      "xgb_optuna_best_logloss": 0.6408,
      "lgb_optuna_best_logloss": 0.6407,
      "test_xgb_raw": {
        "accuracy": 0.597,
        "logloss": 0.6501
      },
      "test_xgb_calibrated": {
        "accuracy": 0.6019,
        "logloss": 0.6471
      },
      "test_lgb_raw": {
        "accuracy": 0.5977,
        "logloss": 0.6486
      },
      "test_lgb_calibrated": {
        "accuracy": 0.6019,
        "logloss": 0.6498
      },
      "test_ensemble_raw": {
        "accuracy": 0.5964,
        "logloss": 0.6487
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.6034,
        "logloss": 0.6467
      }
    },
    "HANDICAP_MS": {
      "market": "HANDICAP_MS",
      "samples": 106861,
      "train": 64116,
      "val": 16029,
      "cal": 10686,
      "test": 16030,
      "features_used": 114,
      "xgb_best_params": {
        "max_depth": 4,
        "eta": 0.01475719431584365,
        "subsample": 0.867899230696633,
        "colsample_bytree": 0.6518567347674479,
        "min_child_weight": 9,
        "gamma": 0.34932767754310273,
        "reg_lambda": 3.3257801082201637e-07,
        "reg_alpha": 4.6977721450875555e-06
      },
      "lgb_best_params": {
        "max_depth": 7,
        "learning_rate": 0.019649745228555244,
        "feature_fraction": 0.7903699430858344,
        "bagging_fraction": 0.7932436899357213,
        "bagging_freq": 3,
        "min_child_samples": 30,
        "lambda_l1": 9.496143774926949e-08,
        "lambda_l2": 0.0049885051588706136
      },
      "xgb_best_iteration": 1016,
      "lgb_best_iteration": 364,
      "xgb_optuna_best_logloss": 0.8328,
      "lgb_optuna_best_logloss": 0.8322,
      "test_xgb_raw": {
        "accuracy": 0.6062,
        "logloss": 0.871
      },
      "test_xgb_calibrated": {
        "accuracy": 0.6039,
        "logloss": 0.8729
      },
      "test_lgb_raw": {
        "accuracy": 0.6079,
        "logloss": 0.8713
      },
      "test_lgb_calibrated": {
        "accuracy": 0.6067,
        "logloss": 0.8736
      },
      "test_ensemble_raw": {
        "accuracy": 0.6072,
        "logloss": 0.8707
      },
      "test_ensemble_calibrated": {
        "accuracy": 0.6066,
        "logloss": 0.8728
      }
    }
  }
}