tune_xgb_params.1stage.log.txt

unrelated    36545
discuss       8909
agree         3678
disagree      1839
Name: label, dtype: int64
Initialize...
Model accuracy: 0.994369347275902 

--- PARAMETER GRID 1 ---

Fitting 3 folds for each of 12 candidates, totalling 36 fits
{'max_depth': 7, 'min_child_weight': 1} 

Re-initialize...
Model accuracy: 1.0 

--- PARAMETER GRID 2 ---

Fitting 3 folds for each of 5 candidates, totalling 15 fits
[Parallel(n_jobs=-1)]: Done  34 out of  36 | elapsed:  9.9min remaining:   35.0s
[Parallel(n_jobs=-1)]: Done  36 out of  36 | elapsed: 10.6min finished
{'gamma': 0.4} 

Re-initialize...
Model accuracy: 0.999823429008652 

--- PARAMETER GRID 3 ---

Fitting 3 folds for each of 16 candidates, totalling 48 fits
[Parallel(n_jobs=-1)]: Done   8 out of  15 | elapsed:  4.5min remaining:  3.9min
[Parallel(n_jobs=-1)]: Done  15 out of  15 | elapsed:  5.0min finished
{'colsample_bytree': 0.9, 'subsample': 0.9} 

Re-initialize...
Model accuracy: 0.9998430480076906 

--- PARAMETER GRID 4 ---

Fitting 3 folds for each of 8 candidates, totalling 24 fits
[Parallel(n_jobs=-1)]: Done  48 out of  48 | elapsed: 15.4min finished
[Parallel(n_jobs=-1)]: Done  10 out of  24 | elapsed:  7.6min remaining: 10.7min
[Parallel(n_jobs=-1)]: Done  24 out of  24 | elapsed:  9.7min finished
{'learning_rate': 0.019} 

Re-initialize...
Model accuracy: 0.9676482705852347 

--- BEST PARAMETERS ---
{'max_depth': 7, 'min_child_weight': 1, 'gamma': 0.4, 'colsample_bytree': 0.9, 'subsample': 0.9, 'learning_rate': 0.019}