Sender: LSF System <lsfadmin@eu-g1-047-3>
Subject: Job 166818966: <python /cluster/home/mplomecka/dl-project/main.py> in cluster <euler> Done

Job <python /cluster/home/mplomecka/dl-project/main.py> was submitted from host <eu-login-16> by user <mplomecka> in cluster <euler> at Tue Mar 23 22:48:07 2021
Job was executed on host(s) <5*eu-g1-047-3>, in queue <bigmem.24h>, as user <mplomecka> in cluster <euler> at Tue Mar 23 22:48:25 2021
</cluster/home/mplomecka> was used as the home directory.
</cluster/home/mplomecka/dl-project> was used as the working directory.
Started at Tue Mar 23 22:48:25 2021
Terminated at Wed Mar 24 00:34:06 2021
Results reported at Wed Mar 24 00:34:06 2021

Your job looked like:

------------------------------------------------------------
# LSBATCH: User input
python /cluster/home/mplomecka/dl-project/main.py
------------------------------------------------------------

Successfully completed.

Resource usage summary:

    CPU time :                                   30735.00 sec.
    Max Memory :                                 178567 MB
    Average Memory :                             146656.00 MB
    Total Requested Memory :                     125000.00 MB
    Delta Memory :                               -53567.00 MB
    Max Swap :                                   -
    Max Processes :                              10
    Max Threads :                                52
    Run time :                                   6347 sec.
    Turnaround time :                            6359 sec.

The output (if any) follows:

2021-03-23 22:48:27.263584: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
(36223, 500, 129)
(36223, 1)
Fitting 2 folds for each of 160 candidates, totalling 320 fits
[Parallel(n_jobs=-1)]: Using backend LokyBackend with 5 concurrent workers.
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total=  48.8s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 2.5min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total=  48.3s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 6.3min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 2.1min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total=  17.7s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 1.2min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total= 1.3min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  39.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  51.7s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  27.8s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  25.8s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total=  28.0s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 2.2min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total= 1.1min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 6.8min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  58.9s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total=  54.1s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  44.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  48.1s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  47.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  36.3s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  37.7s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  24.1s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  36.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  33.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  22.3s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  20.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  22.2s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total= 1.0min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total=  23.9s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total=  47.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total= 2.2min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 8.5min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  37.7s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.0min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  44.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  29.8s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  22.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  26.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  21.9s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  22.9s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  26.7s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  23.0s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total=  33.3s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 3.1min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total= 1.3min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total= 1.3min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.1min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total=  33.2s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 2.1min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total=  33.7s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  33.2s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  25.8s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  37.2s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 1.8min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total=  39.6s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  36.1s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  28.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  21.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  25.7s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  22.4s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  22.0s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  22.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  24.1s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  24.4s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 2.2min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total=  49.5s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total=  43.3s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total= 8.4min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 1.6min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total=  40.4s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  36.8s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  28.1s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  19.7s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  25.6s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  21.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  26.6s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  22.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total= 1.4min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total=  27.0s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total= 3.0min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total= 8.1min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  17.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  19.7s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  20.1s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  18.8s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  19.5s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  57.3s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  59.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  23.7s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  28.1s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  26.5s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total= 1.0min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=12.0min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  52.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  51.9s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  34.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  37.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  21.5s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  23.7s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  37.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  23.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  27.2s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  21.6s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total=  53.8s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.659, total=15.6min
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  24.3s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  25.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  25.8s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  23.1s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  23.3s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  27.9s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total= 2.5min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total=  48.5s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total= 1.7min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.638, total=11.0min
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  23.8s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  25.2s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  21.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  25.0s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  23.2s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  23.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total= 1.9min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total= 1.0min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total=  41.2s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total= 8.3min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total= 1.7min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.2min
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  23.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  20.1s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  29.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  25.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total=  53.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=16.2min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  24.9s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  25.2s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  28.3s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 1.8min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total=  54.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 1.6min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total=11.2min
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total= 1.2min
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  42.6s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  24.9s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  24.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  22.3s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total=  44.4s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 2.2min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 2.6min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.5min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.7min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total=  60.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 2.1min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  17.2s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  21.1s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  32.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.1min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  42.1s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  41.2s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  26.6s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  22.7s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  22.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  24.8s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  22.1s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  27.5s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 1.3min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total= 2.0min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 1.7min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total=10.2min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  36.4s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  28.1s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  21.5s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  22.2s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  24.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  21.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  21.8s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  22.9s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total=  31.8s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.659, total=13.7min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 1.2min
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  46.6s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  24.4s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  27.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  21.7s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  21.7s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  21.9s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 2.4min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total=  44.5s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total=  46.3s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total= 1.0min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total=  23.8s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 2.0min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total=  18.6s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total=  37.4s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  19.4s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  40.1s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total= 1.4min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 2.5min
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  20.1s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  24.7s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  18.2s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  19.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  19.6s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  28.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  37.8s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  26.5s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  24.4s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  23.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  24.6s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total=  48.6s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.659, total=17.1min
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  22.6s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  23.4s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  25.4s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.658, total= 2.4min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.632, total=  49.0s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total= 1.6min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=1000, score=0.639, total=10.0min
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  35.3s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  37.7s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  26.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  24.6s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  22.8s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  21.7s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  22.1s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.654, total=  37.6s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.659, total=14.4min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.2min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  24.3s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  22.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  23.0s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  21.8s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  26.3s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  23.0s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=10, score=0.646, total=  28.3s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=100, score=0.659, total= 1.9min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.615, total=  55.8s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.633, total= 1.5min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 1.4min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total= 2.6min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 1.6min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total= 2.3min
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  26.8s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  44.5s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total=  18.2s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=100, score=0.519, total=  24.2s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  25.7s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  30.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  22.0s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  21.6s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  21.8s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  22.1s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  24.0s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total=  52.3s
[CV] max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.659, total=13.5min
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  23.4s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=1000, score=0.519, total=  30.9s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  20.0s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  32.2s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  31.9s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  25.8s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=10, score=0.519, total=  25.2s
[CV] max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=5, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  26.0s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total= 1.3min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=10, score=0.614, total=  53.3s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=50, score=0.628, total= 1.1min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.4, n_estimators=100, score=0.637, total= 1.7min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total=  28.3s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=10, score=0.519, total=  53.0s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total=  59.8s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=50, score=0.519, total=  49.0s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  49.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=100, score=0.519, total=  50.7s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  51.1s
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=10, score=0.519, total= 1.1min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=50, score=0.519, total= 1.1min
[CV] max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  43.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  44.7s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=100, score=0.519, total=  58.8s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total= 1.0min
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=1000, score=0.519, total=  41.0s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  22.1s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  21.2s
[CV] max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=10, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  26.6s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.655, total=  48.2s
[CV] max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=14.8min
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=10, score=0.519, total=  28.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  25.4s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  21.5s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  22.1s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=10, score=0.519, total=  23.0s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  27.3s
[CV] max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=50, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  24.3s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total=  59.1s
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=15.3min
[CV] max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.1, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  25.5s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.1, n_estimators=50, score=0.519, total=  22.5s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  21.9s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=100, score=0.519, total=  24.6s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  24.0s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=1000, score=0.519, total=  28.3s
[CV] max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100 
[CV]  max_depth=100, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=100, score=0.519, total=  24.3s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=50, score=0.658, total=  56.2s
[CV] max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.1, min_samples_split=0.1, n_estimators=1000, score=0.661, total=15.2min
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=10, score=0.519, total=  22.3s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.4, n_estimators=50, score=0.519, total=  24.1s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=50, score=0.519, total=  21.0s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=0.7, n_estimators=100, score=0.519, total=  22.5s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=50, score=0.519, total=  21.9s
[CV] max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000 
[CV]  max_depth=500, min_samples_leaf=0.5, min_samples_split=1.0, n_estimators=1000, score=0.519, total=  22.9s
[Parallel(n_jobs=-1)]: Done  22 tasks      | elapsed: 13.2min
[Parallel(n_jobs=-1)]: Done 118 tasks      | elapsed: 37.0min
[Parallel(n_jobs=-1)]: Done 278 tasks      | elapsed: 90.6min
[Parallel(n_jobs=-1)]: Done 320 out of 320 | elapsed: 95.0min finished