8727205
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)
6704412
axis
0
7660
categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
7660
strategy
"mean"
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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
876.3758262735104
7708
cache_size
200
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class_weight
null
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coef0
0.17825305049885887
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decision_function_shape
null
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degree
2
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gamma
1.5121122413688757
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kernel
"sigmoid"
7708
max_iter
-1
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probability
true
7708
random_state
21507
7708
shrinking
true
7708
tol
0.0002036939495370467
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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
18371070
description
https://api.openml.org/data/download/18371070/description.xml
-1
18371071
predictions
https://api.openml.org/data/download/18371071/predictions.arff
area_under_roc_curve
0.5899086568813131 [0.615116,0.561671,0.604916,0.631234,0.601602,0.512271,0.574416,0.589824,0.546323,0.700087,0.526239,0.579407,0.556009,0.59373,0.59523,0.603713,0.578973,0.548,0.571516,0.573015,0.531684,0.607027,0.580414,0.554293,0.549519,0.524187,0.581597,0.609434,0.603673,0.601464,0.564177,0.600635,0.598781,0.524187,0.605982,0.455137,0.563999,0.560606,0.650016,0.592053,0.606771,0.606199,0.604029,0.604029,0.579684,0.606929,0.623185,0.573548,0.60318,0.603141,0.604739,0.60827,0.608211,0.609533,0.610815,0.543561,0.604009,0.603614,0.607599,0.604147,0.607501,0.607008,0.602845,0.606712,0.606021,0.598465,0.560369,0.605232,0.607284,0.606455,0.591501,0.600201,0.554826,0.605903,0.601069,0.600734,0.603397,0.600477,0.603101,0.604443,0.609217,0.604897,0.608467,0.609138,0.607185,0.607501,0.607027,0.607244,0.604857,0.568695,0.555516,0.523615,0.608823,0.572384,0.607481,0.584162,0.571299,0.620462,0.594776,0.607225]
average_cost
0
kappa
0.001893939393939394
kb_relative_information_score
13.500322001580857
mean_absolute_error
0.01979659460343982
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
0.011875
prior_entropy
6.6438561897747395
recall
0.011875 [0.75,0.4375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9998280102747366
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09951799934429625
root_relative_squared_error
1.0001935263995911
total_cost
0
area_under_roc_curve
0.5482869845155637 [0.679245,0.060127,0.674051,0.119497,0.674051,0.012579,0.231013,0.289308,0.474684,0.987421,0.148734,0.661392,0.612342,0.427215,0.481013,0.679245,0.471519,0.183544,0.327532,0.339623,0.188679,0.688679,0.685535,0.251572,0.106918,0.091772,0.504747,0.677215,0.686709,0.679245,0.469937,0.686709,0.677215,0.110759,0.674051,0.031447,0.169811,0.283019,0.987421,0.689873,0.691824,0.679245,0.677215,0.667722,0.433544,0.667722,0.987421,0.069182,0.667722,0.667722,0.667722,0.667722,0.679245,0.677215,0.685535,0.100629,0.990506,0.679245,0.707547,0.667722,0.694969,0.679245,0.667722,0.677215,0.679245,0.667722,0.237342,0.679245,0.694969,0.685535,0.667722,0.691824,0.213608,0.667722,0.226415,0.420886,0.68038,0.68038,0.68038,0.68038,0.696203,0.68038,0.68239,0.691824,0.677215,0.68038,0.677215,0.677215,0.68038,0.367925,0.234177,0.138365,0.68038,0.68038,0.696203,0.253165,0.238994,0.987342,0.31962,0.694969]
area_under_roc_curve
0.558413939972932 [0.694969,0.575949,0.677215,0.188679,0.677215,0.018868,0.177215,0.245283,0.449367,0.987421,0.142405,0.148734,0.556962,0.664557,0.670886,0.688679,0.496835,0.204114,0.25,0.688679,0.075472,0.679245,0.685535,0.119497,0.113208,0.212025,0.507911,0.667722,0.667722,0.694969,0.243671,0.677215,0.674051,0.079114,0.68038,0.987421,0.327044,0.226415,0.949686,0.699367,0.679245,0.685535,0.674051,0.677215,0.498418,0.674051,0.943396,0.27044,0.670886,0.667722,0.670886,0.667722,0.698113,0.667722,0.679245,0.031447,0.987342,0.694969,0.688679,0.677215,0.688679,0.685535,0.667722,0.667722,0.685535,0.667722,0.265823,0.68239,0.679245,0.68239,0.495253,0.685535,0.234177,0.674051,0.679245,0.68038,0.68038,0.677215,0.686709,0.68038,0.68038,0.699367,0.679245,0.694969,0.68038,0.677215,0.677215,0.68038,0.693038,0.257862,0.139241,0.081761,0.693038,0.490506,0.68038,0.158228,0.68239,0.484177,0.68038,0.688679]
area_under_roc_curve
0.5252260220125788 [0.708861,0.050633,0.71519,0.144654,0.702532,0.490506,0.694969,0.696203,0.14557,0.481013,0.107595,0.392405,0.981132,0.509494,0.545886,0.702532,0.525316,0.231013,0.194969,0.221519,0.371069,0.701258,0.686709,0.188679,0.220126,0.120253,0.525316,0.726415,0.686709,0.420886,0.389937,0.686709,0.702532,0.085443,0.701258,0.031447,0.220126,0.18239,0.150943,0.493671,0.686709,0.701258,0.688679,0.289308,0.268987,0.713836,0.012658,0.698113,0.686709,0.702532,0.693038,0.704403,0.704403,0.686709,0.704403,0.129747,1,0.702532,0.694969,0.71519,0.704403,0.701258,0.686709,0.707547,0.686709,0.493671,0.291139,0.689873,0.698113,0.689873,0.689873,0.509494,0.169811,0.712025,0.371069,0.705696,0.724684,0.490506,0.705696,0.71519,0.707547,0.712025,0.721519,0.71519,0.698113,0.701258,0.704403,0.705696,0.71519,0.333333,0.155063,0.264151,0.701258,0.183544,0.712025,0.704403,0.174051,0.164557,0.320755,0.705696]
area_under_roc_curve
0.5507089154923974 [0.683544,0.506329,0.68038,0.08805,0.68038,0.113924,0.169811,0.522152,0.050633,0.946203,0.208861,0.47943,0.937107,0.689873,0.705696,0.518987,0.299051,0.151899,0.694969,0.291139,0.100629,0.694969,0.303797,0.176101,0.081761,0.120253,0.686709,0.694969,0.68038,0.507911,0.119497,0.693038,0.683544,0.088608,0.691824,0.949686,0.207547,0.295597,0.90566,0.693038,0.693038,0.710692,0.694969,0.691824,0.686709,0.688679,0.427215,0.113208,0.693038,0.693038,0.686709,0.694969,0.694969,0.686709,0.694969,0.193038,0.987421,0.68038,0.701258,0.693038,0.694969,0.694969,0.689873,0.694969,0.686709,0.68038,0.196203,0.693038,0.694969,0.68038,0.332278,0.689873,0.327044,0.705696,0.707547,0.693038,0.702532,0.702532,0.702532,0.702532,0.691824,0.702532,0.693038,0.705696,0.694969,0.691824,0.691824,0.705696,0.702532,0.320755,0.167722,0.113208,0.691824,0.306962,0.702532,0.691824,0.272152,0.544304,0.694969,0.287975]
area_under_roc_curve
0.5719299816893558 [0.689873,0.943396,0.705696,0.993671,0.666667,0.512658,0.138365,0.705696,0.811321,0.898734,0.262658,0.689873,0.91195,0.685535,0.685535,0.689873,0.702532,0.132911,0.355346,0.332278,0.231013,0.699367,0.218354,0.094937,0.174051,0.265823,0.357595,0.669811,0.694969,0.689873,0.081761,0.201258,0.683544,0.183544,0.694969,0.025316,0.25,0.193038,0.984177,0.699367,0.699367,0.683544,0.685535,0.691824,0.27673,0.691824,0.943038,0.18038,0.693038,0.699367,0.691824,0.691824,0.683544,0.685535,0.712025,0.085443,0.974843,0.683544,0.702532,0.679245,0.683544,0.68038,0.685535,0.679245,0.683544,0.702532,0.213836,0.68038,0.693038,0.702532,0.530063,0.702532,0.289308,0.691824,0.708861,0.691824,0.712025,0.702532,0.702532,0.685535,0.691824,0.708861,0.702532,0.702532,0.679245,0.679245,0.676101,0.691824,0.71519,0.221519,0.295597,0.191456,0.679245,0.333333,0.702532,0.691824,0.235759,0.949686,0.694969,0.552215]
area_under_roc_curve
0.5558632622800729 [0.683544,0.968553,0.68038,1,0.685535,0.205696,0.119497,0.506329,0.949686,0.927215,0.155063,0.68038,0.320755,0.685535,0.698113,0.68038,0.346519,0.110759,0.238994,0.386076,0.139241,0.68038,0.142405,0.139241,0.199367,0.167722,0.481013,0.685535,0.710692,0.68038,0.125786,0.694969,0.509494,0.139241,0.685535,0.06962,0.28481,0.262658,0.984177,0.68038,0.68038,0.68038,0.694969,0.688679,0.301887,0.704403,0.028481,0.376582,0.68038,0.677215,0.685535,0.694969,0.677215,0.694969,0.68038,0.294304,0.987421,0.68038,0.68038,0.704403,0.677215,0.68038,0.694969,0.694969,0.68038,0.677215,0.264151,0.677215,0.68038,0.699367,0.541139,0.699367,0.18239,0.698113,0.696203,0.685535,0.696203,0.693038,0.696203,0.698113,0.694969,0.708861,0.696203,0.708861,0.685535,0.698113,0.698113,0.698113,0.696203,0.405063,0.138365,0.167722,0.694969,0.308176,0.702532,0.688679,0.699367,0.949686,0.377358,0.693038]
area_under_roc_curve
0.5383030809648914 [0.689873,0.106918,0.698113,0.5,0.672956,0.025316,0.278481,0.473101,0.075472,0.955696,0.194969,0.679245,0.231013,0.666667,0.289308,0.683544,0.295597,0.27673,0.291139,0.526899,0.094937,0.68038,0.405063,0.25,0.158228,0.106918,0.27044,0.68038,0.672956,0.699367,0.452532,0.666667,0.672956,0.100629,0.674051,0.037975,0.21519,0.208861,0.987342,0.301887,0.674051,0.674051,0.674051,0.699367,0.36478,0.68038,0.949367,0.689873,0.710692,0.669811,0.698113,0.674051,0.686709,0.663522,0.677215,0.186709,0.528481,0.506329,0.696203,0.663522,0.674051,0.674051,0.663522,0.674051,0.677215,0.663522,0.251572,0.683544,0.712025,0.718354,0.666667,0.561709,0.177215,0.663522,0.712025,0.666667,0.666667,0.672956,0.669811,0.663522,0.71519,0.676101,0.708861,0.712025,0.699367,0.712025,0.689873,0.663522,0.666667,0.303797,0.163522,0.091772,0.689873,0.132075,0.666667,0.281646,0.370253,0.962264,0.564873,0.71519]
area_under_roc_curve
0.5483154705039407 [0.696203,0.937107,0.402516,0.129747,0.327044,0.193038,0.473101,0.392405,0.90566,0.958861,0.27673,0.037736,0.199367,0.688679,0.688679,0.718354,0.349057,0.257862,0.341772,0.303797,0.060127,0.71519,0.542722,0.240506,0.21519,0.106918,0.301887,0.705696,0.698113,0.693038,0.14557,0.698113,0.698113,0.100629,0.724684,0.028481,0.287975,0.208861,0.93038,0.283019,0.699367,0.699367,0.699367,0.71519,0.698113,0.699367,0.974684,0.397152,0.694969,0.688679,0.694969,0.712025,0.705696,0.691824,0.712025,0.262658,0.544304,0.699367,0.724684,0.691824,0.724684,0.712025,0.688679,0.712025,0.699367,0.688679,0.402516,0.699367,0.708861,0.727848,0.68239,0.553797,0.234177,0.694969,0.56962,0.698113,0.688679,0.691824,0.685535,0.694969,0.724684,0.688679,0.724684,0.727848,0.727848,0.724684,0.727848,0.694969,0.701258,0.300633,0.132075,0.050633,0.724684,0.144654,0.688679,0.316456,0.202532,1,0.563291,0.564873]
area_under_roc_curve
0.5282984037895073 [0.716981,0.110759,0.710692,0.503165,0.525316,0.90566,0.46519,0.144654,0.126582,0.981132,0.106918,0.295597,0.110759,0.696203,0.693038,0.710692,0.283019,0.207547,0.28481,0.386792,0.107595,0.693038,0.707547,0.422468,0.221519,0.069182,0.27673,0.743671,0.696203,0.701258,0.199367,0.693038,0.386792,0.188679,0.68038,0.006329,0.265823,0.161392,0.522152,0.393082,0.707547,0.693038,0.531646,0.712025,0.265823,0.683544,0.981132,0.495253,0.707547,0.716981,0.689873,0.683544,0.693038,0.693038,0.683544,0.358491,0.085443,0.72327,0.686709,0.693038,0.696203,0.686709,0.696203,0.696203,0.339623,0.716981,0.287975,0.716981,0.677215,0.726415,0.707547,0.716981,0.53481,0.737342,0.708861,0.746835,0.710692,0.726415,0.707547,0.718354,0.705696,0.707547,0.713836,0.713836,0.708861,0.712025,0.702532,0.727848,0.735849,0.257911,0.205696,0.123418,0.708861,0.224684,0.735849,0.712025,0.36478,0.037975,0.473101,0.707547]
area_under_roc_curve
0.5209726534511582 [0.691824,0.101266,0.685535,0.547468,0.693038,0.962264,0.253165,0.345912,0.063291,0.987421,0.169811,0.320755,0.170886,0.424051,0.523734,0.685535,0.358491,0.069182,0.281646,0.333333,0.221519,0.689873,0.238994,0.321203,0.212025,0.08805,0.377358,0.693038,0.689873,0.691824,0.129747,0.693038,0.685535,0.031447,0.693038,0.015823,0.306962,0.268987,0.981013,0.386792,0.701258,0.693038,0.702532,0.693038,0.506329,0.693038,0.025157,0.208861,0.698113,0.698113,0.693038,0.693038,0.693038,0.693038,0.693038,0.163522,0.006329,0.701258,0.693038,0.693038,0.693038,0.693038,0.693038,0.689873,0.691824,0.393082,0.221519,0.694969,0.693038,0.685535,0.685535,0.685535,0.193038,0.702532,0.708861,0.702532,0.685535,0.691824,0.685535,0.702532,0.702532,0.685535,0.685535,0.691824,0.702532,0.702532,0.702532,0.702532,0.685535,0.344937,0.227848,0.044304,0.702532,0.523734,0.688679,0.539557,0.685535,0.151899,0.702532,0.691824]
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
0.00019774569903104714
kappa
-0.006169909824394875
kappa
0.00003955539733396713
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0.00003955539733396713
kappa
0
kb_relative_information_score
1.324604130102513
kb_relative_information_score
1.3254120314733084
kb_relative_information_score
1.376107994223466
kb_relative_information_score
1.3774028320115792
kb_relative_information_score
1.4080262151908818
kb_relative_information_score
1.4099157615548004
kb_relative_information_score
1.3392152798929324
kb_relative_information_score
1.3379009068427627
kb_relative_information_score
1.2859890112488248
kb_relative_information_score
1.3157478390397719
mean_absolute_error
0.019796523932228385
mean_absolute_error
0.01979656612765116
mean_absolute_error
0.019796435192316428
mean_absolute_error
0.019796417832726503
mean_absolute_error
0.019796197292044914
mean_absolute_error
0.019796186759377863
mean_absolute_error
0.01979651980956647
mean_absolute_error
0.01979652306072664
mean_absolute_error
0.01979799792473496
mean_absolute_error
0.019796578103025285
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
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
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
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.00625 [0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.999824441021634
relative_absolute_error
0.9998265721035922
relative_absolute_error
0.9998199592078987
relative_absolute_error
0.9998190824609329
relative_absolute_error
0.9998079440426708
relative_absolute_error
0.9998074120897894
relative_absolute_error
0.9998242328063857
relative_absolute_error
0.9998243970063941
relative_absolute_error
0.9998988850876226
relative_absolute_error
0.9998271769204672
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
0.09948496875042877
root_mean_squared_error
0.09948614399667069
root_mean_squared_error
0.09948399616215059
root_mean_squared_error
0.09948433722118867
root_mean_squared_error
0.09948299027190415
root_mean_squared_error
0.0994852824631284
root_mean_squared_error
0.09949168285209105
root_mean_squared_error
0.09949039872304759
root_mean_squared_error
0.09980218932060264
root_mean_squared_error
0.09948755232378492
root_relative_squared_error
0.9998615564406184
root_relative_squared_error
0.9998733681097722
root_relative_squared_error
0.9998517815606361
root_relative_squared_error
0.9998552093329411
root_relative_squared_error
0.9998416719832792
root_relative_squared_error
0.999864709371881
root_relative_squared_error
0.9999290357012793
root_relative_squared_error
0.999916129718796
root_relative_squared_error
1.003049743128647
root_relative_squared_error
0.9998875223298327
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
1951.3502850000036
usercpu_time_millis
1732.8144469999957
usercpu_time_millis
1730.3754959999933
usercpu_time_millis
1746.6792949999926
usercpu_time_millis
1740.812677000008
usercpu_time_millis
1740.214429000005
usercpu_time_millis
1732.5612380000025
usercpu_time_millis
1731.1858789999947
usercpu_time_millis
1742.7051720000009
usercpu_time_millis
1744.5749139999975
usercpu_time_millis_testing
124.54068899999982
usercpu_time_millis_testing
124.0249920000025
usercpu_time_millis_testing
123.60710899999106
usercpu_time_millis_testing
132.84847699999602
usercpu_time_millis_testing
123.06716700000209
usercpu_time_millis_testing
123.69906900001126
usercpu_time_millis_testing
124.1820129999951
usercpu_time_millis_testing
123.68790899999738
usercpu_time_millis_testing
124.17097400000898
usercpu_time_millis_testing
123.97428299999547
usercpu_time_millis_training
1826.809596000004
usercpu_time_millis_training
1608.789454999993
usercpu_time_millis_training
1606.7683870000023
usercpu_time_millis_training
1613.8308179999967
usercpu_time_millis_training
1617.745510000006
usercpu_time_millis_training
1616.515359999994
usercpu_time_millis_training
1608.3792250000074
usercpu_time_millis_training
1607.4979699999972
usercpu_time_millis_training
1618.5341979999919
usercpu_time_millis_training
1620.600631000002