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p1_output.json
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p1_output.json
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{'mean_fit_time': array([0.02851381, 0.02559648, 0.03182087, 0.03899345, 0.05563397,
0.08057051, 0.08562164, 0.09136195, 0.09021249, 0.09075012,
0.11935306, 0.09866986]),
'std_fit_time': array([0.00241748, 0.00025617, 0.00198993, 0.01185433, 0.01487249,
0.01989871, 0.01866491, 0.00382586, 0.00302678, 0.00293882,
0.02505023, 0.00806945]),
'mean_score_time': array([0.00565677, 0.00501633, 0.00585661, 0.00715785, 0.0099772 ,
0.0119514 , 0.00596972, 0.00620403, 0.00601177, 0.00654607,
0.00756536, 0.00719037]),
'std_score_time': array([0.00026887, 0.00040281, 0.00065932, 0.00253386, 0.00246961,
0.00309644, 0.0004568 , 0.00067258, 0.00048203, 0.00115177,
0.00195764, 0.00186498]),
'param_classifier__C': masked_array(data=[1e-06, 1.2328467394420658e-05, 0.0001519911082952933,
0.001873817422860383, 0.02310129700083158,
0.2848035868435799, 3.5111917342151275,
43.287612810830524, 533.6699231206302,
6579.3322465756555, 81113.08307896856, 1000000.0],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object),
'params': [{'classifier__C': 1e-06},
{'classifier__C': 1.2328467394420658e-05},
{'classifier__C': 0.0001519911082952933},
{'classifier__C': 0.001873817422860383},
{'classifier__C': 0.02310129700083158},
{'classifier__C': 0.2848035868435799},
{'classifier__C': 3.5111917342151275},
{'classifier__C': 43.287612810830524},
{'classifier__C': 533.6699231206302},
{'classifier__C': 6579.3322465756555},
{'classifier__C': 81113.08307896856},
{'classifier__C': 1000000.0}],
'split0_test_score': array([0.78057292, 0.78057292, 0.78213542, 0.79951389, 0.85222222,
0.8946875 , 0.90196181, 0.88907986, 0.88074653, 0.87670139,
0.87194444, 0.87067708]),
'split1_test_score': array([0.71704861, 0.71704861, 0.718125 , 0.73302083, 0.80368056,
0.86789931, 0.88246528, 0.87276042, 0.8659375 , 0.8609375 ,
0.85904514, 0.86203125]),
'split2_test_score': array([0.68826389, 0.68826389, 0.68947917, 0.70427083, 0.77711806,
0.82734375, 0.83307292, 0.82251736, 0.81428819, 0.80817708,
0.80489583, 0.80767361]),
'split3_test_score': array([0.71303819, 0.71303819, 0.71425347, 0.72567708, 0.77975694,
0.84755208, 0.85609375, 0.84421875, 0.83354167, 0.82713542,
0.82465278, 0.82553819]),
'split4_test_score': array([0.74359375, 0.74359375, 0.74572917, 0.76270833, 0.83317708,
0.88371528, 0.89230903, 0.88701389, 0.88289931, 0.88005208,
0.87809028, 0.87760417]),
'mean_test_score': array([0.72850347, 0.72850347, 0.72994444, 0.74503819, 0.80919097,
0.86423958, 0.87318056, 0.86311806, 0.85548264, 0.85060069,
0.84772569, 0.84870486]),
'std_test_score': array([0.03139604, 0.03139604, 0.03161139, 0.0330487 , 0.02950397,
0.02432919, 0.02522319, 0.02585963, 0.02712058, 0.02830499,
0.02829644, 0.02726096]),
'rank_test_score': array([11, 11, 10, 9, 8, 2, 1, 3, 4, 5, 7, 6], dtype=int32),
'split0_train_score': array([0.78138129, 0.78138455, 0.78317383, 0.80340603, 0.89401367,
0.98052843, 0.99913737, 1. , 1. , 1. ,
1. , 1. ]),
'split1_train_score': array([0.78224175, 0.78224175, 0.78361328, 0.80261393, 0.89481554,
0.98019857, 0.99988498, 1. , 1. , 1. ,
1. , 1. ]),
'split2_train_score': array([0.79021376, 0.79021376, 0.79169922, 0.81042209, 0.8996365 ,
0.9826888 , 0.99958659, 1. , 1. , 1. ,
1. , 1. ]),
'split3_train_score': array([0.79296115, 0.79296115, 0.79466797, 0.81367622, 0.90042101,
0.98230903, 0.99911133, 1. , 1. , 1. ,
1. , 1. ]),
'split4_train_score': array([0.78326063, 0.78326606, 0.78503255, 0.80354384, 0.89352973,
0.98070313, 0.99897895, 1. , 1. , 1. ,
1. , 1. ]),
'mean_train_score': array([0.78601172, 0.78601345, 0.78763737, 0.80673242, 0.89648329,
0.98128559, 0.99933984, 1. , 1. , 1. ,
1. , 1. ]),
'std_train_score': array([4.67276670e-03, 4.67148308e-03, 4.66539402e-03, 4.47266871e-03,
2.93435785e-03, 1.01100000e-03, 3.41033442e-04, 0.00000000e+00,
4.96506831e-17, 4.96506831e-17, 0.00000000e+00, 0.00000000e+00])}