8833154
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)
6808204
axis
0
7660
categorical_features
[]
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copy
true
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fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"median"
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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"}
7661
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
300.53184708945474
7708
cache_size
200
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class_weight
null
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coef0
0.7079192916739014
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decision_function_shape
null
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degree
1
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gamma
0.7465082686680263
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kernel
"rbf"
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max_iter
-1
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probability
true
7708
random_state
61887
7708
shrinking
false
7708
tol
3.172775744766654e-05
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
18582056
description
https://api.openml.org/data/download/18582056/description.xml
-1
18582057
predictions
https://api.openml.org/data/download/18582057/predictions.arff
area_under_roc_curve
0.46682252209595965 [0.419586,0.391296,0.407592,0.404396,0.418284,0.416568,0.427202,0.384825,0.428188,0.403409,0.413786,0.438013,0.575363,0.403606,0.400193,0.398122,0.410788,0.689236,0.485401,0.477154,0.399148,0.410117,0.658578,0.411735,0.415404,0.555319,0.622356,0.376578,0.506116,0.54431,0.532039,0.404869,0.612926,0.531684,0.408696,0.479088,0.566209,0.625592,0.523122,0.376894,0.419271,0.415483,0.545415,0.54577,0.398556,0.464291,0.402383,0.355311,0.433554,0.521741,0.500197,0.471473,0.441604,0.387705,0.428741,0.496054,0.413668,0.491083,0.57339,0.423532,0.694326,0.641414,0.536577,0.422546,0.413944,0.36486,0.685093,0.409998,0.402817,0.399148,0.606968,0.53922,0.652541,0.392914,0.391769,0.400687,0.477273,0.569444,0.351681,0.377052,0.4302,0.63084,0.37934,0.578322,0.546796,0.381826,0.406763,0.342527,0.44622,0.559186,0.530145,0.406368,0.378788,0.432844,0.41063,0.422033,0.382615,0.373856,0.607047,0.422625]
average_cost
0
kappa
0.05934343434343435
kb_relative_information_score
12.43454549744148
mean_absolute_error
0.019795825175783332
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
0.06875
prior_entropy
6.6438561897747395
recall
0.06875 [0.125,0.125,0.0625,0.25,0,0.125,0.25,0.0625,0.25,0,0,0.25,0.0625,0.125,0,0.0625,0.0625,0.0625,0,0,0.125,0,0.125,0.125,0.0625,0.0625,0.125,0.0625,0,0.0625,0.125,0.0625,0.0625,0.0625,0.0625,0,0.125,0,0.125,0,0,0.0625,0,0.0625,0.0625,0,0.125,0,0.0625,0,0.0625,0.0625,0.1875,0,0,0,0,0.0625,0,0.1875,0.0625,0.0625,0.1875,0,0.0625,0,0,0.1875,0,0.0625,0,0.0625,0.0625,0,0,0.0625,0.125,0.125,0,0,0.125,0.0625,0,0.1875,0.0625,0.0625,0.125,0.0625,0.125,0.0625,0,0.125,0,0.1875,0,0.125,0.125,0.0625,0,0.125]
relative_absolute_error
0.9997891502920857
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09948272443367284
root_relative_squared_error
0.9998390002085269
total_cost
0
area_under_roc_curve
0.3699272549956214 [0.962264,0.129747,0.136076,0.880503,0.126582,0.968553,0.164557,1,0.617089,0.937107,0.544304,0.056962,0.031646,0.322785,0.278481,0.691824,0.132911,0.420886,0.563291,0.962264,1,1,1,1,0.918239,0.047468,0.427215,0.063291,0.117089,1,0,0.129747,0.003165,0.006329,0.082278,0.993711,0.981132,0.981132,1,0.221519,1,1,0.03481,0,0.256329,0.063291,1,0.169811,0.14557,0.031646,0.003165,0.012658,1,0.243671,0.987421,0.974843,0.224684,1,1,0.098101,1,1,0.18038,0.101266,1,0.006329,0.025316,1,1,0.993711,0.072785,1,0.028481,0.107595,0.955975,0.117089,0.822785,0.253165,0.091772,0.110759,0.012658,0.006329,0.91195,1,0.079114,0.417722,0.193038,0.003165,0.155063,1,0,1,0.053797,0.126582,0.129747,0.341772,0.987421,0.436709,0.863924,0.981132]
area_under_roc_curve
0.3708939127059947 [0.987421,0.091772,0.259494,0.91195,0.306962,1,0.161392,1,0.246835,1,0.272152,0.240506,0,0.256329,0.302215,1,0.14557,0.018987,0.018987,0.918239,1,1,1,1,0.993711,0.474684,0.601266,0.21519,0,1,0,0.265823,0.025316,0.009494,0.262658,0.993711,0.880503,0.987421,1,0.218354,0.987421,1,0,0.142405,0.253165,0.088608,1,0.993711,0.164557,0.015823,0.006329,0.21519,0.981132,0.148734,1,0.987421,0.306962,1,1,0.231013,1,1,0.088608,0.091772,1,0.031646,0.120253,1,0.981132,0.993711,0.037975,1,0,0.357595,0.993711,0.075949,0.091772,0.455696,0.082278,0.335443,0.202532,0.139241,0.823899,0.955975,0.025316,0.053797,0.363924,0.196203,0.522152,0.993711,0,1,0.088608,0.199367,0.148734,0.164557,0.955975,0.101266,0.079114,0.981132]
area_under_roc_curve
0.3781570933842847 [0.351266,0.113924,0.227848,0.748428,0.155063,0.357595,1,0.142405,0.322785,0,0.300633,0.177215,1,0.310127,0.329114,0.221519,0.136076,0.079114,0.968553,0.088608,0.968553,0.805031,0.417722,1,0.993711,0.496835,0.041139,0.993711,0.018987,0.031646,1,0.231013,0.047468,0.46519,0.91195,1,1,0.981132,1,0.123418,0.544304,0.987421,1,1,0.310127,1,0.278481,1,0.585443,0.075949,0.060127,0.993711,0.993711,0.079114,0.993711,0,1,0.03481,0.981132,0.579114,1,1,0.088608,0.987421,0.113924,0.006329,0,0.06962,0.943396,0.427215,0.031646,0.041139,0.987421,0.313291,0.993711,0.03481,0.003165,0.066456,0.113924,0.183544,1,0.462025,0.170886,0.006329,1,1,1,0.009494,0.056962,1,0,1,0.974843,0.117089,0.151899,1,0.129747,0.167722,0.981132,0.158228]
area_under_roc_curve
0.35869183385080816 [0.218354,0.120253,0.275316,0.761006,0.21519,0.256329,1,0.050633,0.253165,0.110759,0.265823,0.205696,1,0.243671,0.272152,0.158228,0.113924,0.5,0.962264,0.471519,0.993711,0.981132,0.018987,1,1,0.015823,0.132911,1,0.037975,0,1,0.297468,0,0,0.993711,0.987421,1,0.949686,1,0.056962,0.126582,0.949686,1,1,0.310127,1,0.196203,0.974843,0.14557,0,0.009494,1,1,0.496835,0.987421,0.012658,1,0.037975,0.993711,0.060127,0.993711,1,0.028481,1,0.025316,0.088608,0.43038,0.123418,1,0.253165,0.544304,0.050633,1,0.120253,1,0.136076,0.088608,0.066456,0.186709,0.066456,0.993711,0.050633,0.075949,0.037975,0.993711,1,0.937107,0.018987,0.158228,1,0.031646,1,1,0.158228,0.110759,1,0.231013,0.107595,0.81761,0.183544]
area_under_roc_curve
0.3799836796433405 [0.205696,0.993711,0.063291,0.341772,1,0.509494,1,0.287975,1,0.136076,0.303797,0.224684,0.993711,0.496855,0.987421,0.294304,0.012658,0.471519,0.930818,0.594937,0.044304,0.183544,0.022152,0.275316,0.085443,0.012658,0.015823,1,0.981132,0,1,0.666667,0.025316,0.022152,1,0,0,0.446203,0.085443,0.126582,0.205696,0.221519,1,1,0.742138,1,0.170886,0.158228,0.477848,0.458861,0.993711,0.987421,0.205696,0.955975,0.414557,0.03481,0.987421,0.129747,0.006329,1,0.151899,0,0.987421,0.993711,0.151899,0.161392,0.968553,0.272152,0.306962,0.151899,0,0.110759,0.987421,0.647799,0.417722,1,0.123418,0.911392,0.041139,1,1,0.031646,0.164557,0.03481,1,1,0.987421,0.987421,0.18038,0.006329,0.987421,0.338608,0.974843,0.943396,0.189873,1,0.082278,1,0.830189,0.287975]
area_under_roc_curve
0.3949999004856301 [0.202532,1,0.227848,0.325949,1,0.420886,1,0.164557,1,0.297468,0.547468,0.085443,0.861635,0.955975,0.874214,0.287975,0.167722,0.003165,0.949686,0.047468,0.458861,0.243671,0.731013,0.291139,0.091772,0.018987,0.408228,1,1,0,1,1,0,0.028481,0.962264,0,0.917722,0.041139,0.075949,0.183544,0.193038,0.117089,1,1,0.968553,1,0.218354,0.126582,0.142405,0.012658,1,1,0.189873,1,0.329114,0.39557,1,0.091772,0.015823,1,0.022152,0.458861,1,1,0.123418,0.487342,0.987421,0.164557,0.189873,0.265823,0.044304,0.10443,0.987421,0.930818,0.155063,1,0.044304,0.018987,0.208861,1,1,0.525316,0.14557,0.006329,1,1,1,1,0.091772,0.088608,0.993711,0.202532,1,1,0.196203,1,0.047468,0.955975,0.974843,0.205696]
area_under_roc_curve
0.3606054951835045 [0.202532,0.993711,1,0.386076,1,0.613924,0.164557,0.227848,0.874214,0.091772,0.981132,1,0.075949,1,0.704403,0.278481,1,0.955975,0.056962,0.136076,0.110759,0.218354,0.009494,0.306962,0.075949,0.012579,1,0.123418,1,0,0.117089,0.981132,1,0.993711,0.313291,0,0.025316,0.009494,0.053797,0.955975,0.21519,0.370253,0.006329,0,0.849057,0.231013,0.129747,0.189873,1,1,0.955975,0.164557,0.075949,0.955975,0.139241,0,0.212025,0.129747,0.5,1,0.041139,0.088608,1,0.243671,0.088608,0.943396,0.993711,0.126582,0.085443,0.322785,1,0.158228,0,1,0.075949,1,1,1,0.930818,0.968553,0.60443,0.993711,0.107595,0,0.003165,0.018987,0.268987,0.855346,0.993711,0.006329,1,0.18038,0.268987,1,1,0.129747,0.158228,1,0.756329,0.205696]
area_under_roc_curve
0.3742271465249584 [0.174051,0.993711,1,0.275316,1,0.492089,0.142405,0.234177,0.981132,0,0.893082,1,0.041139,1,0.805031,0.151899,1,0.962264,0.075949,0.053797,0.031646,0.186709,0.047468,0.234177,0.044304,0.987421,0.981132,0.240506,0.955975,0.132911,0,1,0.993711,0.993711,0.170886,0,0.009494,0.455696,0.126582,1,0.924051,0.060127,0,0.025316,1,0.044304,0.174051,0.427215,0.981132,1,0.981132,0.870253,0.506329,0.968553,0.474684,0.003165,0.174051,0.006329,0.066456,0.968553,0.003165,0.006329,1,0.142405,0.189873,0.735849,0.943396,0.136076,0.401899,0.237342,0.993711,0.075949,0,1,0.205696,0.993711,1,0.943396,1,1,0.015823,0.987421,0.202532,0,0,0.14557,0.186709,1,1,0.082278,0.993711,0.268987,0.132911,1,1,0.234177,0.117089,1,0.462025,0.094937]
area_under_roc_curve
0.36512941843802244 [1,0.025316,1,0.300633,0.221519,0.955975,0.14557,1,0.484177,0,0.968553,1,0.063291,0.224684,0.272152,1,1,0.993711,0.03481,0.974843,0.044304,0.268987,0.993711,0.265823,0.164557,1,0.968553,0.110759,0.072785,1,0,0.21519,0.955975,0.987421,0.224684,0,0,0.46519,0.221519,0.930818,0.90566,0.170886,0,0.120253,0.297468,0.06962,0.993711,0.10443,1,1,0.091772,0.53481,0.107595,0.224684,0.832278,0.987421,0.25,1,0.003165,0.205696,0.088608,0,0,0.098101,1,1,0.506329,1,0.193038,0.132075,1,0.90566,0.082278,0.316456,0.075949,0.088608,1,1,0.874214,0.202532,0.132911,1,1,1,0.012658,0,0.142405,0.151899,1,0.031646,0.009494,0.246835,0.009494,0.066456,1,0.468354,1,0.14557,0.537975,1]
area_under_roc_curve
0.405195147679325 [1,0.126582,1,0.335443,0.186709,0.779874,0.246835,0.993711,0.594937,0.358491,0.993711,1,0.481013,0.351266,0.310127,0.949686,1,0.981132,0.458861,0.968553,0.082278,0.196203,1,0.098101,0.142405,1,0.974843,0.117089,0.174051,1,0.003165,0.310127,0.993711,0.993711,0.170886,0,0.006329,0.012658,0.5,0.893082,0.918239,0.18038,0.028481,0,0.164557,0.066456,1,0.139241,0.981132,0.943396,0.053797,0.613924,0.072785,0.509494,0.177215,0.968553,0.202532,1,0.044304,0.117089,0.468354,0.003165,0.199367,0.015823,0.981132,0.993711,0.481013,1,0.167722,1,0.981132,0.993711,0.455696,0.25,0.382911,0.518987,1,1,0.937107,0.193038,0.117089,0.106918,1,1,0.060127,0.237342,0.240506,0.186709,1,0.202532,0,0.202532,0.158228,0.889241,1,0.199367,0.981132,0.579114,0.098101,1]
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
0.04402515723270441
kappa
0.07547169811320754
kappa
0.07547169811320754
kappa
0.06289308176100629
kappa
0.04402515723270441
kappa
0.07547169811320754
kappa
0.06289308176100629
kappa
0.0691823899371069
kappa
0.07547169811320754
kappa
0.04402515723270441
kb_relative_information_score
1.409427254054082
kb_relative_information_score
1.315295508308422
kb_relative_information_score
1.4494966826465798
kb_relative_information_score
1.4117951517788985
kb_relative_information_score
0.9439669643134512
kb_relative_information_score
1.3175479860188262
kb_relative_information_score
1.1172159673549182
kb_relative_information_score
1.1862214349814666
kb_relative_information_score
1.2619760184334854
kb_relative_information_score
1.0216025295513402
mean_absolute_error
0.019793988930437677
mean_absolute_error
0.019795539451313036
mean_absolute_error
0.01979447693891486
mean_absolute_error
0.019794544575524764
mean_absolute_error
0.019798586990506968
mean_absolute_error
0.01979519085791424
mean_absolute_error
0.019796984125957838
mean_absolute_error
0.019796104113160844
mean_absolute_error
0.01979566538360821
mean_absolute_error
0.019797170390495132
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
0.05
predictive_accuracy
0.08125
predictive_accuracy
0.08125
predictive_accuracy
0.06875
predictive_accuracy
0.05
predictive_accuracy
0.08125
predictive_accuracy
0.06875
predictive_accuracy
0.075
predictive_accuracy
0.08125
predictive_accuracy
0.05
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
0.05 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.08125 [0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.08125 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0]
recall
0.06875 [0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0]
recall
0.05 [0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
recall
0.08125 [0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.06875 [0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.075 [0,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0]
recall
0.08125 [1,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1]
recall
0.05 [1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0]
relative_absolute_error
0.9996964106281638
relative_absolute_error
0.999774719763283
relative_absolute_error
0.9997210575209509
relative_absolute_error
0.9997244735113501
relative_absolute_error
0.9999286358841886
relative_absolute_error
0.999757114036071
relative_absolute_error
0.999847683129182
relative_absolute_error
0.9998032380384249
relative_absolute_error
0.999781079980211
relative_absolute_error
0.9998570904290454
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
0.09947430271216799
root_mean_squared_error
0.09948222267186128
root_mean_squared_error
0.09947666347803413
root_mean_squared_error
0.09947672276388655
root_mean_squared_error
0.09949626747706285
root_mean_squared_error
0.09947883843047882
root_mean_squared_error
0.09948791961730317
root_mean_squared_error
0.09948423984523591
root_mean_squared_error
0.09948127435864279
root_mean_squared_error
0.09948879091818427
root_relative_squared_error
0.9997543587227077
root_relative_squared_error
0.9998339573125786
root_relative_squared_error
0.9997780853123921
root_relative_squared_error
0.999778681157628
root_relative_squared_error
0.9999751129159339
root_relative_squared_error
0.9997999444069251
root_relative_squared_error
0.9998912137685843
root_relative_squared_error
0.9998542306677929
root_relative_squared_error
0.9998244264061256
root_relative_squared_error
0.9998999706719239
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
3887.366528997518
usercpu_time_millis
3659.458343001461
usercpu_time_millis
3659.2977580003208
usercpu_time_millis
3655.0280940027733
usercpu_time_millis
3647.4378349994367
usercpu_time_millis
3758.398786998441
usercpu_time_millis
3668.231822000962
usercpu_time_millis
3657.2910429968033
usercpu_time_millis
3674.0491449963883
usercpu_time_millis
3669.950465999136
usercpu_time_millis_testing
132.73664499865845
usercpu_time_millis_testing
132.59747499978403
usercpu_time_millis_testing
135.64603499980876
usercpu_time_millis_testing
133.13822200143477
usercpu_time_millis_testing
132.48153499807813
usercpu_time_millis_testing
161.67977399891242
usercpu_time_millis_testing
131.7346270006965
usercpu_time_millis_testing
132.07802399847424
usercpu_time_millis_testing
131.50009299715748
usercpu_time_millis_testing
131.20373600031598
usercpu_time_millis_training
3754.6298839988594
usercpu_time_millis_training
3526.860868001677
usercpu_time_millis_training
3523.651723000512
usercpu_time_millis_training
3521.8898720013385
usercpu_time_millis_training
3514.9563000013586
usercpu_time_millis_training
3596.719012999529
usercpu_time_millis_training
3536.4971950002655
usercpu_time_millis_training
3525.213018998329
usercpu_time_millis_training
3542.549051999231
usercpu_time_millis_training
3538.7467299988202