Inventory-Forecasting/log.txt at master · mayank98/Inventory-Forecasting · GitHub

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8474661x202 matrix with 152002262 entries loaded from data/train_data.data

param={'max_depth':7,'n_estimators':100,'objective':"reg:logistic",'nthread':4,"learning_rate":0.1,
       "min_child_weight":5,"colsample_bylevel":0.8,"colsample_bytree":0.8,"subsample":0.7,"gamma":0.5}
[49]    train-rmse:0.272859     eval-rmse:0.2737

param={
        'max_depth':5,
        'n_estimators':100,
        'objective':"reg:logistic",
        "learning_rate":0.1,
        "min_child_weight":1,
        "colsample_bylevel":0.8,
        "colsample_bytree":0.8,
        "subsample":0.8,
        "gamma":0
    }
[49]    train-rmse:0.273257     eval-rmse:0.273858

[49]    train-rmse:0.273257     eval-rmse:0.273858
{'n_estimators': 110, 'subsample': 0.8, 'colsample_bytree': 0.8, 'gamma': 0, 'colsample_bylevel': 0.8, 'objective': 'reg:logistic',
 'learning_rate': 0.1, 'max_depth': 5, 'min_child_weight': 1}

[49]    train-rmse:0.273257     eval-rmse:0.273858
{'n_estimators': 90, 'subsample': 0.8, 'colsample_bytree': 0.8, 'gamma': 0, 'colsample_bylevel': 0.8, 'objective': 'reg:logistic',
 'learning_rate': 0.1, 'max_depth': 5, 'min_child_weight': 1}

 [49]    train-rmse:0.272845     eval-rmse:0.273698
{'n_estimators': 90, 'subsample': 0.8, 'colsample_bytree': 0.8, 'gamma': 0, 'colsample_bylevel': 0.8, 'objective': 'reg:logistic',
 'learning_rate': 0.1, 'max_depth': 7, 'min_child_weight': 1}

 [49]    train-rmse:0.272851     eval-rmse:0.273694
166109.0 170173.366572 =sum 1694981 1694981
{'n_estimators': 100, 'subsample': 0.8, 'colsample_bytree': 0.8, 'gamma': 0, 'colsample_bylevel': 0.8, 'objective': 'reg:logistic',
 'learning_rate': 0.1, 'max_depth': 7, 'min_child_weight': 3}

 [49]    train-rmse:0.272036     eval-rmse:0.27362
166109.0 170194.466611 =sum 1694981 1694981
{'n_estimators': 100, 'subsample': 0.8, 'colsample_bytree': 0.8, 'gamma': 0, 'colsample_bylevel': 0.8, 'objective': 'reg:logistic',
 'learning_rate': 0.1, 'max_depth': 9, 'min_child_weight': 3}

param={
        'max_depth':9,
        'n_estimators':100,
        'objective':"reg:logistic",
        "learning_rate":0.1,
        "min_child_weight":7,
        "colsample_bylevel":0.8,
        "colsample_bytree":0.8,
        "subsample":0.8,
        "gamma":0
    }
    [49]    train-rmse:0.272361
   got score of 0.3481567
   threshold=0.16

param={
        'max_depth':9,
        'n_estimators':100,
        'objective':"reg:logistic",
        "learning_rate":0.1,
        "min_child_weight":5,
        "colsample_bylevel":0.8,
        "colsample_bytree":0.8,
        "subsample":0.8,
        "gamma":0
    }
    [49]    train-rmse:0.272343
    got score of 0.3477570
    threshold=0.16