8709224
1
Jan van Rijn
9954
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6686643
axis
0
7660
categorical_features
[]
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copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"most_frequent"
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strategy_nominal
"most_frequent"
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verbose
0
7660
categorical_features
[]
7661
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
7661
sparse
true
7661
threshold
0.0
7662
copy
true
7663
with_mean
false
7663
with_std
true
7663
C
31.406141496632607
7708
cache_size
200
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class_weight
null
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coef0
-0.969227113713518
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decision_function_shape
null
7708
degree
2
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gamma
0.04651342901186553
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kernel
"sigmoid"
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max_iter
-1
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probability
true
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random_state
25637
7708
shrinking
false
7708
tol
0.0024221315429020936
7708
verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18335292
description
https://api.openml.org/data/download/18335292/description.xml
-1
18335293
predictions
https://api.openml.org/data/download/18335293/predictions.arff
area_under_roc_curve
0.9800753630050508 [0.963976,0.978575,0.999566,0.98982,0.968395,0.9869,0.989504,0.983823,0.981258,0.999882,0.976839,0.989938,0.961016,0.845802,0.988715,0.986387,0.981534,0.979246,0.952178,0.954545,0.974392,0.991753,0.930792,0.995936,0.98907,0.970486,0.956242,0.997238,0.998698,0.999961,0.947483,0.989938,0.994713,0.986032,0.961411,0.998698,0.982205,0.972775,0.996922,0.965515,0.985322,0.946851,0.982876,0.995581,0.993213,0.994594,0.993371,0.957741,0.996567,0.990136,0.985243,0.98986,0.997199,0.977391,0.987019,0.974787,0.999369,0.99858,0.981889,0.982086,0.979482,0.972656,0.988518,0.970526,0.999014,0.954901,0.977825,0.989702,0.994476,0.987098,0.976405,0.994515,0.984533,0.987453,0.97163,0.997199,0.999448,0.973682,0.997751,0.994239,0.976405,0.986664,0.923729,0.983783,0.998777,0.996725,0.999961,0.983349,0.997475,0.976562,0.991319,0.966225,0.960188,0.979443,0.988913,0.987847,0.976799,0.973406,0.920691,0.98039]
average_cost
0
kappa
0.5031565656565657
kb_relative_information_score
662.7619563848858
mean_absolute_error
0.018457175943199514
mean_prior_absolute_error
0.019800000000000036
number_of_instances
1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
predictive_accuracy
0.508125
prior_entropy
6.6438561897747395
recall
0.508125 [0.375,0.5625,1,0.0625,0.6875,0.125,0.9375,0.4375,0.4375,0.375,0.75,0.75,0.5625,0,0.75,0.875,0.75,0.5,0.1875,0.0625,0.375,0.4375,0.3125,0.8125,0.375,0.1875,0.25,0.75,0.6875,0.5625,0.8125,0.8125,0.625,0.5,0.375,0.4375,0.625,0.3125,0,0.5625,0.1875,0.6875,0.375,0.75,0.1875,0.3125,0,0,0.8125,0.875,0.3125,0.8125,0.625,0.1875,0.6875,0.3125,0.9375,0.9375,0.1875,0.5,0.25,0.3125,0.3125,0.5,0.75,0.5,0.1875,1,0.625,0.5625,0.3125,0.0625,0.5,0.625,0.3125,0.875,0.8125,0.25,0.75,0.9375,0.1875,0.6875,0.6875,0.375,0.8125,0.75,1,0.875,0.5625,0.5625,0.375,0.125,0.375,0.4375,0.8125,0.875,0.4375,0.0625,0,0.6875]
relative_absolute_error
0.9321806031918931
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09380828519403718
root_relative_squared_error
0.9428087400462813
total_cost
0
area_under_roc_curve
0.9755873835681868 [0.899371,0.971519,1,1,0.93038,1,0.987342,0.981132,0.993671,1,0.955696,0.968354,0.943038,0.642405,0.987342,0.90566,0.946203,0.993671,0.93038,0.943396,0.968553,1,0.861635,1,0.993711,0.987342,0.962025,0.990506,1,1,0.905063,0.987342,0.981013,0.990506,0.962025,0.993711,1,0.993711,0.993711,0.993671,1,0.993711,0.981013,1,1,1,0.981132,1,1,0.943038,1,1,1,0.993671,0.981132,0.993711,1,1,0.987421,0.990506,0.993711,1,0.987342,0.984177,0.993711,0.990506,0.984177,0.993711,1,0.893082,0.968354,1,0.990506,1,0.993711,1,1,0.939873,1,1,0.987342,0.987342,0.943396,0.968553,1,0.993671,1,0.962025,0.987342,0.943396,0.987342,0.981132,0.958861,0.993671,1,0.993671,0.981132,0.971519,0.886076,0.993711]
area_under_roc_curve
0.9797774361117743 [0.949686,1,1,1,0.996835,1,0.996835,0.993711,0.974684,1,0.993671,0.96519,0.993671,0.762658,1,1,0.962025,0.977848,1,0.924528,0.974843,0.987421,0.937107,1,0.993711,0.96519,0.952532,0.993671,1,1,0.949367,0.990506,0.996835,0.996835,0.968354,0.993711,0.968553,0.943396,0.993711,0.917722,1,1,0.993671,0.990506,1,1,0.968553,0.974843,0.996835,0.987342,1,0.968354,1,0.996835,1,0.968553,1,1,0.981132,0.96519,0.987421,0.974843,0.990506,0.958861,1,0.93038,0.996835,0.993711,1,1,0.984177,1,0.990506,0.96519,1,1,1,0.981013,1,0.993671,0.936709,0.993671,0.861635,0.949686,1,1,1,0.96519,0.993671,0.993711,0.993671,0.981132,0.971519,1,0.984177,1,0.955975,0.971519,0.914557,0.974843]
area_under_roc_curve
0.9840871546851364 [0.993671,0.987342,1,1,1,0.984177,0.955975,0.958861,0.996835,1,0.987342,1,0.987421,0.936709,0.955696,0.993671,0.996835,0.949367,0.962264,0.949367,0.949686,0.968553,0.848101,1,0.987421,0.977848,0.981013,1,1,1,0.930818,1,1,0.984177,0.987421,1,0.993711,0.949686,1,0.974684,0.955696,1,0.987421,1,1,1,1,1,0.990506,1,1,1,1,1,1,0.996835,1,1,0.955975,0.943038,0.993711,1,1,0.91195,0.996835,0.987342,0.977848,0.993671,1,0.984177,0.993671,0.987342,0.987421,0.984177,0.987421,0.996835,1,0.993671,1,0.993671,1,0.977848,0.984177,0.993671,1,0.993711,1,0.987342,1,0.987421,0.958861,0.899371,0.955975,1,0.993671,1,0.977848,0.984177,0.943396,1]
area_under_roc_curve
0.9807685992357296 [0.936709,0.984177,1,1,0.914557,0.971519,0.981132,0.984177,0.968354,1,0.981013,0.984177,0.974843,0.848101,0.990506,1,0.993671,0.993671,0.937107,0.958861,0.993711,1,0.974684,1,0.981132,0.958861,0.939873,1,1,1,0.943396,0.996835,1,0.993671,0.993711,1,0.987421,0.918239,1,0.977848,1,0.867925,0.993711,1,1,1,0.987342,0.918239,1,1,1,0.993711,1,0.974684,0.993711,0.96519,1,1,0.974843,0.990506,1,0.993711,0.993671,0.981132,1,0.971519,0.987342,0.990506,1,0.981013,0.927215,1,0.974843,1,1,1,1,0.981013,0.990506,1,0.993711,0.977848,0.955696,0.987342,1,1,1,0.996835,1,0.962264,1,1,0.987421,0.981013,0.996835,1,0.943038,0.952532,0.823899,0.993671]
area_under_roc_curve
0.983641081522172 [0.984177,0.993711,1,0.996835,1,1,0.987421,1,0.981132,1,0.946203,0.996835,0.949686,0.962264,0.993711,0.993671,0.993671,0.993671,0.974843,0.990506,0.981013,0.996835,0.96519,1,0.987342,0.987342,0.952532,1,0.993711,1,1,1,0.990506,0.971519,1,1,0.962025,0.968354,0.993671,0.981013,1,0.958861,0.968553,1,0.949686,1,1,0.955696,1,1,1,0.968553,0.987342,1,0.974684,0.993671,1,1,0.993671,1,1,0.996835,0.987421,0.993711,1,0.936709,0.987421,0.987342,0.990506,0.993671,0.984177,1,1,0.981132,0.876582,1,1,1,1,0.981132,0.987421,0.990506,0.867089,0.968354,1,0.974843,1,1,1,0.996835,1,0.93038,0.974843,1,0.943038,0.993711,0.996835,0.993711,0.974843,0.958861]
area_under_roc_curve
0.9772395708940369 [0.898734,0.993711,1,0.977848,1,0.958861,0.987421,0.987342,1,1,0.987342,0.993671,0.974843,0.968553,1,1,0.974684,0.987342,0.874214,0.905063,0.96519,0.977848,0.908228,1,0.987342,0.968354,0.901899,1,1,1,0.987421,1,0.996835,0.993671,0.937107,0.996835,0.96519,0.987342,1,0.924051,0.996835,0.971519,0.949686,1,1,0.987421,1,0.917722,0.996835,0.993671,1,0.993711,1,1,0.977848,0.958861,1,1,0.981013,1,0.993671,0.949367,0.987421,1,1,0.892405,1,0.990506,1,1,0.974684,0.987342,0.987421,0.993711,0.981013,1,1,0.962025,1,0.981132,0.974843,0.996835,0.886076,0.955696,0.987421,1,1,0.987421,1,1,1,0.936709,0.968553,1,0.996835,1,0.993671,0.981132,0.880503,0.952532]
area_under_roc_curve
0.9788631478385479 [0.993671,0.981132,1,1,0.949686,0.996835,0.993671,1,1,1,1,1,0.952532,0.981132,0.987421,0.984177,0.987421,0.981132,0.968354,0.955696,0.987342,0.996835,0.96519,0.981013,0.987342,0.880503,0.949686,0.993671,1,1,0.946203,0.974843,1,0.974843,0.905063,1,0.984177,0.977848,0.993671,0.968553,0.993671,0.848101,0.993671,1,0.949686,1,0.974684,0.905063,1,1,0.974843,0.993671,1,1,0.984177,0.968354,1,1,0.987342,1,0.96519,0.908228,1,0.946203,1,1,1,0.987342,0.990506,1,1,0.996835,0.987342,1,1,1,1,0.893082,1,0.993711,0.946203,0.993711,0.924051,0.987342,1,1,1,0.993711,1,0.958861,1,1,0.908228,0.943396,1,0.993671,0.984177,0.981132,0.952532,0.990506]
area_under_roc_curve
0.981440321232386 [0.974684,0.943396,1,1,0.993711,1,0.984177,1,0.930818,1,0.955975,1,0.952532,1,1,0.968354,0.987421,0.90566,0.93038,0.977848,0.96519,0.993671,0.920886,1,0.987342,0.987421,0.993711,0.993671,0.974843,1,0.946203,1,1,0.987421,0.962025,1,0.974684,0.987342,1,1,0.981013,0.987342,0.984177,1,1,0.990506,1,0.946203,0.993711,0.981132,0.867925,0.996835,1,1,1,0.968354,1,1,0.974684,1,0.996835,0.952532,1,0.946203,1,0.899371,0.861635,0.987342,0.990506,0.981013,1,0.996835,1,1,0.981013,1,1,1,1,0.987421,0.974684,0.993711,0.914557,0.993671,1,0.987342,1,0.987421,1,0.977848,1,1,0.958861,1,1,0.949367,0.987342,0.955975,1,0.996835]
area_under_roc_curve
0.9819396345832342 [0.993711,0.968354,1,0.943038,0.984177,0.981132,0.993671,0.949686,0.987342,1,0.987421,0.993711,0.952532,0.873418,0.996835,1,1,0.974843,0.958861,0.962264,0.996835,0.996835,0.981132,0.993671,0.996835,0.981132,0.974843,1,1,1,0.946203,0.977848,1,0.987421,0.987342,1,0.987342,0.977848,1,1,0.968553,0.977848,0.981013,0.987342,1,0.984177,0.993711,0.987342,0.993711,0.987421,0.96519,0.987342,1,0.886076,0.987342,0.930818,1,1,0.990506,0.990506,0.946203,0.977848,0.993671,0.974684,1,0.987421,0.971519,1,0.993671,0.993711,1,0.962264,0.955696,1,1,0.987342,1,0.993711,1,0.990506,1,0.993711,1,1,1,1,1,0.987342,1,0.981013,1,0.955696,1,0.949367,1,0.962025,0.993711,0.958861,0.943038,1]
area_under_roc_curve
0.9832114282302366 [1,0.984177,1,1,0.971519,0.993711,1,0.955975,0.977848,1,0.981132,1,0.936709,0.822785,0.996835,0.987421,1,1,0.943038,0.981132,0.946203,0.993671,0.937107,1,0.993671,1,0.987421,1,1,1,0.990506,0.987342,1,0.987421,0.977848,1,1,1,1,0.949686,1,0.946203,0.990506,1,0.996835,1,1,0.993671,1,0.993711,0.990506,0.984177,1,0.993671,0.987342,0.993711,1,0.993711,0.974684,0.977848,0.981013,0.993671,0.981013,0.990506,1,0.981132,0.993671,0.974843,0.987342,0.987421,0.981132,1,0.990506,0.984177,0.981013,0.996835,1,0.987421,0.993711,1,0.990506,0.968553,0.949686,1,0.996835,1,1,0.977848,1,0.943038,0.981013,0.996835,0.977848,0.958861,0.981132,0.984177,0.930818,0.974684,0.93038,0.937107]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
0.5073035925779708
kappa
0.5451853606537961
kappa
0.5450955615226664
kappa
0.5264777839160287
kappa
0.4946703513620213
kappa
0.4695923280318876
kappa
0.4567706277141729
kappa
0.4883335307355206
kappa
0.5390686661404893
kappa
0.45711354848891345
kb_relative_information_score
65.9512128922303
kb_relative_information_score
67.0704266390756
kb_relative_information_score
67.96804642040334
kb_relative_information_score
67.4945234836201
kb_relative_information_score
66.76535464090409
kb_relative_information_score
64.57492955320093
kb_relative_information_score
65.62865610794114
kb_relative_information_score
65.73987946349813
kb_relative_information_score
66.43256697453617
kb_relative_information_score
65.1363602094775
mean_absolute_error
0.018458143790199034
mean_absolute_error
0.018414614758684437
mean_absolute_error
0.018363167319900335
mean_absolute_error
0.018379451240581008
mean_absolute_error
0.018463448283007923
mean_absolute_error
0.01853785475303117
mean_absolute_error
0.018485893082427308
mean_absolute_error
0.01847051133975525
mean_absolute_error
0.018439943122463588
mean_absolute_error
0.018558731741944792
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
predictive_accuracy
0.5125
predictive_accuracy
0.55
predictive_accuracy
0.55
predictive_accuracy
0.53125
predictive_accuracy
0.5
predictive_accuracy
0.475
predictive_accuracy
0.4625
predictive_accuracy
0.49375
predictive_accuracy
0.54375
predictive_accuracy
0.4625
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
recall
0.5125 [0,0.5,1,0,0.5,0,1,1,0,0,0.5,0.5,0.5,0,0.5,0,0,0.5,0,0,0,1,0,1,1,0.5,0,1,0.5,1,1,1,0.5,0.5,0.5,0,1,1,0,0.5,0,1,0,1,0.5,0,0,0,1,0.5,0.5,1,1,0.5,0,0,1,1,0,0.5,0,0,0.5,1,1,1,0,1,1,0,0.5,0,0.5,1,0,1,0.5,0,1,1,0,1,1,0,1,0.5,1,0.5,0,0,0.5,0,1,0.5,1,0.5,0,0,0,1]
recall
0.55 [0,1,1,0,1,0,1,1,0.5,1,1,1,1,0,1,1,0,0.5,0.5,0,0,0,0,1,1,0,0.5,1,1,0,1,0.5,0.5,1,0.5,1,1,0,0,0.5,1,1,0.5,0,0.5,0,0,0,0.5,1,0.5,0.5,1,0,1,0,1,1,1,0,0,0,0,0.5,1,0.5,0.5,1,0,1,0.5,0,0,0.5,0,1,1,0.5,1,1,0,0.5,0,0,1,1,1,1,0.5,1,0.5,0,0.5,0.5,0.5,1,0,0,0,0]
recall
0.55 [0.5,1,1,0,1,0,0,0,1,0.5,1,0.5,1,0,0.5,1,1,0.5,0,0,0,0,0,1,0,0.5,0.5,1,1,1,0,1,0.5,0.5,1,1,1,0,0,0.5,0,1,1,1,0,0,0,0,0.5,1,1,1,1,0,1,0.5,1,1,0,0.5,0,0,1,0,0.5,0.5,0,1,0,0.5,0.5,0,0,0.5,0,1,1,0.5,0.5,1,1,1,1,0.5,1,0,1,1,1,0,0,0,0,0,1,1,1,0,0,1]
recall
0.53125 [0,1,1,0,0.5,0,1,0.5,0,0.5,1,0.5,0,0,1,1,1,1,0,0,0,1,1,1,0,0,0,1,1,1,1,1,0.5,0.5,1,1,1,0,0,0.5,0,0,1,1,0,1,0,0,1,1,0,1,1,0.5,1,0.5,1,1,0,0.5,0,0,0.5,1,1,0.5,0,1,1,0,0,0,1,0.5,1,1,0.5,0,0.5,1,0,0,1,0.5,1,1,1,1,0.5,0,0.5,0,0,0.5,0.5,1,0,0.5,0,0.5]
recall
0.5 [0,0,1,0,1,0,1,0.5,0,0,0.5,0.5,0,0,1,1,1,0.5,0,0.5,1,0.5,0,1,0.5,0,0,1,1,0,1,1,0.5,0,1,0,0.5,0.5,0,1,0.5,1,0,0,0,0,0,0,1,1,0,0,0.5,1,0.5,0.5,0,1,0,1,0.5,0.5,0,0,0.5,0.5,1,1,0.5,0.5,0.5,0.5,1,0,0.5,1,0.5,0.5,1,1,1,1,0,0.5,1,0,1,1,1,1,0,0,0,1,0.5,1,1,0,0,0.5]
recall
0.475 [0.5,0,1,0,1,0,1,0,1,0.5,1,1,0,0,1,1,1,1,0,0,0.5,0,0,1,0,0,0,1,1,0,1,1,0.5,0.5,1,0,0.5,0,0,0,0,0.5,0,1,0,1,0,0,0.5,0.5,0,1,0,0,0.5,0.5,1,1,0,1,0.5,0.5,0,1,0.5,0,1,1,1,1,0,0,1,1,0.5,1,1,0,0.5,1,0,0.5,0.5,0.5,0,1,1,1,1,1,0,0,0,1,1,1,0.5,0,0,0.5]
recall
0.4625 [1,0,1,0,0,0.5,1,0.5,0,0.5,1,1,1,0,0,1,1,0,0,0,0.5,0.5,0,0,0.5,0,0,0.5,0,0.5,0.5,1,1,0,0,0,0.5,0.5,0,1,0.5,0,0.5,1,0,0.5,0,0,1,1,0,1,1,0,0.5,0,1,1,0.5,1,0,0,1,0,1,0,0,1,0.5,0.5,0,0,0.5,1,0,1,1,0,0,1,0,1,0.5,0.5,1,1,1,1,0,0.5,1,0,0,0,1,1,0.5,0,0,1]
recall
0.49375 [0,0,1,0,0,0.5,1,1,0,0,1,1,0,0,1,0.5,1,0,0.5,0,0,0.5,0.5,1,0.5,0,1,0.5,0,0.5,0.5,1,1,0,0,1,0.5,0.5,0,1,0,1,0.5,1,0,0.5,0,0,1,1,0,1,0,0,1,0,1,1,0.5,1,0.5,0.5,0,0,0.5,0,0,1,0.5,0.5,0,0,1,1,0.5,1,1,0,1,1,0.5,1,1,0,0,0.5,1,1,1,0.5,1,0.5,0,1,1,0.5,0.5,0,0,1]
recall
0.54375 [1,0.5,1,0.5,1,0,1,0,0.5,1,0,1,1,0,1,1,1,0,0.5,0,1,0.5,1,0.5,0,0,0,0.5,1,1,1,0.5,1,1,0,1,0.5,0,0,1,0,1,0,0.5,0.5,0,0,0,1,1,0.5,1,0.5,0,0.5,0,1,0,0,0.5,0.5,0.5,0,0.5,1,1,0,1,1,1,1,0,0,0.5,0.5,1,1,1,1,0.5,0,1,1,0,1,1,1,1,0,0.5,0.5,0,1,0.5,1,1,0,0,0,1]
recall
0.4625 [1,0.5,1,0,0.5,0,1,0,1,0,0,1,0.5,0,0.5,1,1,0,0,0,0,0.5,1,1,0.5,1,1,0.5,0,1,1,0.5,1,1,0,0,0.5,0.5,0,0,0,0.5,0.5,1,0,0.5,0,0,1,1,0,0.5,1,0,1,1,1,1,0,0,0,0.5,0,1,1,1,0,1,0.5,1,0,0,0.5,0.5,0,0,1,0,1,1,0,0,1,1,1,1,1,0.5,0,0.5,0,0.5,0.5,0,1,1,0,0,0,0]
relative_absolute_error
0.9322294843534852
relative_absolute_error
0.9300310484184044
relative_absolute_error
0.9274326929242578
relative_absolute_error
0.9282551131606555
relative_absolute_error
0.9324973880307017
relative_absolute_error
0.9362552905571283
relative_absolute_error
0.9336309637589534
relative_absolute_error
0.9328541080684455
relative_absolute_error
0.9313102587102807
relative_absolute_error
0.9373096839366041
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_squared_error
0.09383487691163518
root_mean_squared_error
0.09356782430020252
root_mean_squared_error
0.09336461916659791
root_mean_squared_error
0.09344975255083791
root_mean_squared_error
0.0938421846804165
root_mean_squared_error
0.09418484810844525
root_mean_squared_error
0.09392496639877418
root_mean_squared_error
0.09391806158214469
root_mean_squared_error
0.09373108254066452
root_mean_squared_error
0.09426056863725434
root_relative_squared_error
0.9430759968638686
root_relative_squared_error
0.9403920171323331
root_relative_squared_error
0.9383497286970587
root_relative_squared_error
0.9392053514020806
root_relative_squared_error
0.9431494427035723
root_relative_squared_error
0.9465933397343249
root_relative_squared_error
0.9439814302771885
root_relative_squared_error
0.943912034258988
root_relative_squared_error
0.9420328241855028
root_relative_squared_error
0.9473543596827705
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
1620.064882990846
usercpu_time_millis
1423.5484699966037
usercpu_time_millis
1415.1936599955661
usercpu_time_millis
1417.478522998863
usercpu_time_millis
1437.9200690018479
usercpu_time_millis
1433.1030960020144
usercpu_time_millis
1437.6877110044006
usercpu_time_millis
1438.4752460027812
usercpu_time_millis
1425.4205109973554
usercpu_time_millis
1434.7296560008544
usercpu_time_millis_testing
157.05462199548492
usercpu_time_millis_testing
165.73819099721732
usercpu_time_millis_testing
156.7776709998725
usercpu_time_millis_testing
156.31889299402246
usercpu_time_millis_testing
165.079282996885
usercpu_time_millis_testing
156.30291499837767
usercpu_time_millis_testing
164.008443003695
usercpu_time_millis_testing
164.82824500417337
usercpu_time_millis_testing
154.87428999767872
usercpu_time_millis_testing
165.2252190033323
usercpu_time_millis_training
1463.010260995361
usercpu_time_millis_training
1257.8102789993864
usercpu_time_millis_training
1258.4159889956936
usercpu_time_millis_training
1261.1596300048404
usercpu_time_millis_training
1272.8407860049629
usercpu_time_millis_training
1276.8001810036367
usercpu_time_millis_training
1273.6792680007056
usercpu_time_millis_training
1273.6470009986078
usercpu_time_millis_training
1270.5462209996767
usercpu_time_millis_training
1269.5044369975221