8807052
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)
6782133
axis
0
7660
categorical_features
[]
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copy
true
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fill_empty
0
7660
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"}
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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
10.013960914370122
7708
cache_size
200
7708
class_weight
null
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coef0
-0.8884132655143366
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decision_function_shape
null
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degree
1
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gamma
0.2834413648521985
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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
5824
7708
shrinking
false
7708
tol
0.0033329036857923217
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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
18530075
description
https://api.openml.org/data/download/18530075/description.xml
-1
18530076
predictions
https://api.openml.org/data/download/18530076/predictions.arff
area_under_roc_curve
0.7367015861742423 [0.778646,0.898043,0.708688,0.86265,0.705492,0.918718,0.759233,0.714094,0.763613,0.993963,0.771267,0.701941,0.784012,0.623382,0.676413,0.678464,0.679017,0.787603,0.738873,0.678583,0.797546,0.640309,0.721236,0.752959,0.814591,0.878906,0.687421,0.696378,0.696299,0.747988,0.790996,0.635969,0.629261,0.965909,0.673848,0.994279,0.755406,0.763928,0.858783,0.680358,0.692985,0.716185,0.728022,0.693655,0.741556,0.746804,0.985243,0.7427,0.726918,0.70711,0.705177,0.69117,0.732244,0.763771,0.75438,0.843198,0.772293,0.682213,0.705315,0.709557,0.646741,0.659328,0.647096,0.685685,0.650765,0.702099,0.772609,0.689236,0.708412,0.718119,0.662721,0.654672,0.762745,0.723445,0.690223,0.652107,0.716501,0.625197,0.726207,0.710819,0.707663,0.631905,0.678307,0.701823,0.711569,0.7369,0.64169,0.737137,0.718908,0.763258,0.854916,0.835938,0.704585,0.729324,0.715396,0.773595,0.77324,0.870818,0.709359,0.62354]
average_cost
0
kappa
0.03472222222222222
kb_relative_information_score
35.502136406663034
mean_absolute_error
0.01978115679036141
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
0.044375
prior_entropy
6.6438561897747395
recall
0.044375 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0.5625,0,0,0,0,0,0,0,0,0,0,0.375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0.125,0.0625,0,0,0.5,0.5,0.5625,0.1875,0.5,0.3125]
relative_absolute_error
0.9990483227455239
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09941298467002564
root_relative_squared_error
0.9991380892116003
total_cost
0
area_under_roc_curve
0.8091177553538728 [0.647799,0.901899,0.892405,0.880503,0.794304,1,0.841772,0.81761,0.886076,1,0.873418,0.768987,0.863924,0.873418,0.829114,0.641509,0.825949,0.867089,0.813291,0.716981,0.798742,0.45283,0.805031,0.786164,0.874214,0.936709,0.794304,0.778481,0.810127,0.981132,0.85443,0.740506,0.386076,0.981013,0.588608,0.993711,0.962264,0.767296,0.949686,0.787975,0.559748,0.91195,0.958861,0.75,0.835443,0.949367,0.993711,0.91195,0.974684,0.575949,0.851266,0.832278,0.974843,0.848101,0.880503,0.955975,0.917722,0.522013,0.54717,0.93038,0.578616,0.572327,0.712025,0.787975,0.767296,0.905063,0.867089,0.566038,0.761006,0.842767,0.759494,0.509434,0.838608,0.936709,0.981132,0.876582,0.905063,0.610759,0.96519,0.901899,0.78481,0.443038,0.691824,0.735849,0.835443,0.756329,0.531646,0.816456,0.746835,0.786164,0.924051,0.918239,0.743671,0.753165,0.727848,0.914557,0.918239,0.968354,0.851266,0.540881]
area_under_roc_curve
0.7987403968633071 [0.811321,0.962025,0.870253,0.767296,0.886076,1,0.914557,0.836478,0.797468,0.993711,0.879747,0.879747,0.933544,0.446203,0.800633,0.811321,0.740506,0.876582,0.863924,0.761006,0.874214,0.666667,0.805031,0.90566,0.855346,0.908228,0.857595,0.509494,0.860759,0.981132,0.911392,0.626582,0.443038,0.984177,0.642405,1,0.798742,0.830189,0.836478,0.800633,0.72956,0.962264,0.971519,0.781646,0.860759,0.848101,0.949686,0.836478,0.933544,0.867089,0.838608,0.705696,0.930818,0.89557,1,0.937107,0.901899,0.54717,0.842767,0.806962,0.427673,0.515723,0.515823,0.778481,0.566038,0.851266,0.860759,0.647799,0.427673,0.918239,0.822785,0.496855,0.876582,0.892405,0.874214,0.75,0.955696,0.515823,0.971519,0.686709,0.64557,0.509494,0.735849,0.861635,0.810127,0.860759,0.655063,0.768987,0.658228,0.91195,0.968354,0.899371,0.829114,0.778481,0.664557,0.886076,0.830189,0.901899,0.756329,0.459119]
area_under_roc_curve
0.8035790343125546 [0.933544,0.977848,0.863924,0.842767,0.873418,0.962025,0.761006,0.71519,0.867089,1,0.911392,0.800633,0.886792,0.674051,0.693038,0.658228,0.794304,0.787975,0.830189,0.917722,0.647799,0.72956,0.721519,0.899371,0.786164,0.901899,0.825949,0.748428,0.876582,0.987342,0.792453,0.607595,0.471519,0.96519,0.735849,1,0.81761,0.798742,0.855346,0.882911,0.632911,0.962264,0.679245,0.295597,0.879747,0.987421,0.993671,0.72327,0.85443,0.835443,0.775316,0.603774,0.849057,0.860759,0.981132,0.905063,0.861635,0.825949,0.930818,0.693038,0.496855,0.389937,0.493671,0.72956,0.610759,0.863924,0.857595,0.588608,0.836478,0.892405,0.778481,0.908228,0.943396,0.920886,0.974843,0.737342,0.974684,0.46519,0.936709,0.832278,0.672956,0.566456,0.642405,0.765823,0.779874,0.974843,0.666667,0.851266,0.832278,0.90566,0.952532,0.773585,0.63522,0.867089,0.772152,0.836478,0.908228,0.943038,0.899371,0.636076]
area_under_roc_curve
0.807711617307539 [0.832278,0.949367,0.873418,0.899371,0.838608,0.863924,0.805031,0.78481,0.876582,1,0.914557,0.772152,0.90566,0.455696,0.75,0.955696,0.825949,0.85443,0.72327,0.810127,0.91195,0.377358,0.901899,0.880503,0.918239,0.908228,0.822785,0.685535,0.797468,0.990506,0.930818,0.651899,0.841772,0.987342,0.572327,0.993711,0.830189,0.767296,0.786164,0.825949,0.686709,0.735849,0.622642,0.672956,0.737342,0.937107,0.974684,0.924528,0.946203,0.689873,0.829114,0.63522,1,0.977848,0.955975,0.85443,0.842767,0.813291,0.855346,0.696203,0.528302,0.314465,0.56962,0.805031,0.658228,0.851266,0.920886,0.64557,0.811321,0.93038,0.936709,0.794304,0.767296,0.911392,0.90566,0.813291,0.851266,0.588608,0.949367,0.816456,0.792453,0.575949,0.677215,0.797468,0.578616,0.72327,0.691824,0.879747,0.867089,0.849057,0.949367,0.849057,0.742138,0.848101,0.746835,0.867925,0.876582,0.96519,0.654088,0.379747]
area_under_roc_curve
0.8125572207626781 [0.949367,0.886792,0.860759,0.993671,0.710692,0.920886,0.893082,0.759494,0.672956,0.984177,0.835443,0.734177,0.842767,0.540881,0.72956,0.886076,0.740506,0.876582,0.72956,0.753165,0.863924,0.547468,0.911392,0.889241,0.873418,0.908228,0.813291,0.496855,0.805031,0.860759,0.962264,0.949686,0.708861,0.93038,0.685535,1,0.844937,0.876582,0.962025,0.753165,0.838608,0.946203,0.503145,0.761006,0.874214,1,0.993671,0.879747,0.908228,0.870253,0.855346,0.622642,0.712025,0.90566,0.876582,0.933544,0.855346,0.860759,0.743671,0.886792,0.5,0.607595,0.654088,0.698113,0.702532,0.851266,0.962264,0.670886,0.787975,0.848101,0.78481,0.803797,0.823899,0.81761,0.78481,0.779874,0.914557,0.553797,0.987342,0.805031,0.610063,0.537975,0.68038,0.68038,0.899371,0.968553,0.553459,0.830189,0.867089,0.876582,0.786164,0.78481,0.786164,0.886792,0.863924,0.849057,0.924051,0.90566,0.767296,0.613924]
area_under_roc_curve
0.807321520977629 [0.867089,0.924528,0.89557,0.924051,0.830189,0.759494,0.861635,0.816456,0.792453,0.977848,0.857595,0.75,0.81761,0.616352,0.754717,0.712025,0.781646,0.905063,0.823899,0.791139,0.901899,0.705696,0.949367,0.914557,0.832278,0.898734,0.81962,0.710692,0.90566,0.974684,0.962264,0.830189,0.674051,0.987342,0.792453,0.981013,0.825949,0.832278,0.962025,0.787975,0.841772,0.962025,0.559748,0.836478,0.81761,0.805031,1,0.765823,0.96519,0.810127,0.811321,0.628931,0.901899,0.918239,0.920886,0.778481,0.842767,0.803797,0.626582,0.742138,0.506329,0.734177,0.578616,0.761006,0.572785,0.629747,0.792453,0.658228,0.759494,0.886076,0.731013,0.781646,0.842767,0.798742,0.816456,0.748428,0.927215,0.648734,1,0.773585,0.748428,0.496835,0.670886,0.734177,0.679245,0.949686,0.647799,0.72327,0.851266,0.879747,0.955975,0.787975,0.90566,0.91195,0.778481,0.798742,0.806962,0.861635,0.849057,0.509494]
area_under_roc_curve
0.8165646644375448 [0.993671,0.867925,0.842767,0.943038,0.823899,0.987342,0.829114,0.731013,0.805031,0.996835,0.855346,0.704403,0.898734,0.716981,0.918239,0.762658,0.811321,0.72327,0.873418,0.651899,0.974684,0.522152,0.857595,0.886076,0.920886,0.823899,0.855346,0.778481,0.647799,0.984177,0.857595,0.779874,0.415094,0.918239,0.696203,0.993671,0.905063,0.860759,0.981013,0.974843,0.816456,0.765823,0.977848,0.762658,0.654088,0.873418,0.968354,0.68038,0.949686,0.830189,0.742138,0.655063,0.971519,0.962264,0.955696,0.838608,0.844937,0.901899,0.803797,0.610063,0.610759,0.810127,0.566038,0.696203,0.718354,0.949686,0.811321,0.810127,0.727848,0.835443,0.836478,0.829114,0.832278,0.937107,0.803797,0.867925,0.886792,0.710692,1,0.918239,0.803797,0.402516,0.68038,0.734177,0.677215,0.857595,0.651899,0.90566,0.622642,0.816456,0.918239,0.917722,0.623418,0.937107,0.874214,0.933544,0.81962,0.867925,0.800633,0.509494]
area_under_roc_curve
0.8153999731311201 [0.905063,0.918239,0.937107,0.933544,0.943396,0.813291,0.851266,0.844937,0.748428,1,0.823899,0.930818,0.927215,0.748428,0.666667,0.889241,0.767296,0.691824,0.829114,0.753165,0.949367,0.531646,0.800633,0.851266,0.870253,0.886792,0.874214,0.829114,0.786164,0.93038,0.924051,0.672956,0.352201,0.974843,0.734177,1,0.829114,0.841772,0.977848,0.955975,0.648734,0.949367,0.984177,0.708861,0.704403,0.898734,1,0.832278,0.968553,0.672956,0.880503,0.787975,0.952532,0.974843,0.968354,0.791139,0.870253,0.712025,0.957278,0.987421,0.572785,0.674051,0.528302,0.664557,0.572785,0.81761,0.767296,0.775316,0.778481,0.702532,0.477987,0.813291,0.844937,0.955975,0.841772,0.81761,0.874214,0.490566,0.981132,0.786164,0.699367,0.490566,0.610759,0.806962,0.683544,0.816456,0.617089,0.811321,0.855346,0.857595,0.962264,0.968354,0.797468,0.90566,0.823899,0.882911,0.841772,0.974843,0.794304,0.642405]
area_under_roc_curve
0.7981510230077224 [0.962264,0.870253,0.591195,0.974684,0.892405,0.855346,0.800633,0.91195,0.740506,1,0.855346,0.886792,0.89557,0.623418,0.746835,0.603774,0.823899,0.836478,0.857595,0.710692,0.905063,0.446203,0.805031,0.794304,0.85443,0.955975,0.886792,0.613924,0.737342,0.981132,0.927215,0.791139,0.371069,0.924528,0.64557,1,0.851266,0.977848,0.971519,0.924528,0.81761,0.924051,0.971519,0.75,0.882911,0.911392,1,0.78481,0.830189,0.798742,0.746835,0.721519,0.78481,0.762658,0.924051,0.666667,0.803797,0.647799,0.648734,0.765823,0.547468,0.553797,0.512658,0.727848,0.402516,0.962264,0.851266,0.792453,0.838608,0.949686,0.534591,0.779874,0.734177,0.718354,0.857595,0.696203,0.849057,0.578616,1,0.905063,0.851266,0.767296,0.641509,0.710692,0.68038,0.936709,0.53481,0.832278,0.987421,0.848101,0.946203,0.911392,0.870253,0.829114,0.672956,0.753165,0.899371,0.958861,0.78481,0.566038]
area_under_roc_curve
0.8026669851126501 [0.968553,0.927215,0.459119,0.886076,0.882911,0.993711,0.85443,0.792453,0.832278,1,0.842767,0.81761,0.889241,0.68038,0.727848,0.716981,0.754717,0.91195,0.794304,0.716981,0.816456,0.53481,0.899371,0.778481,0.857595,0.955975,0.811321,0.85443,0.756329,0.968553,0.936709,0.844937,0.654088,0.993711,0.594937,0.987342,0.806962,0.844937,0.974684,0.880503,0.654088,0.914557,0.971519,0.677215,0.740506,0.822785,1,0.952532,0.955975,0.974843,0.737342,0.693038,0.996835,0.920886,0.955696,0.842767,0.920886,0.641509,0.765823,0.876582,0.46519,0.46519,0.813291,0.753165,0.610063,0.90566,0.89557,0.628931,0.613924,0.836478,0.566038,0.396226,0.93038,0.89557,0.686709,0.705696,0.72956,0.786164,0.91195,0.85443,0.794304,0.779874,0.534591,0.503145,0.759494,0.879747,0.436709,0.914557,0.893082,0.800633,0.892405,0.955696,0.674051,0.753165,0.698113,0.844937,0.849057,0.876582,0.753165,0.742138]
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
0.025586269624708346
kappa
0.03183705754399842
kappa
0.038317054845980476
kappa
0.03191363151026219
kappa
0.03214328074961451
kappa
0.03843112446623439
kappa
0.038317054845980476
kappa
0.05112086348001423
kappa
0.013087659641769802
kappa
0.025509195175004943
kb_relative_information_score
3.2490531240083245
kb_relative_information_score
3.0242057802927316
kb_relative_information_score
3.5787525176283292
kb_relative_information_score
3.543702319456708
kb_relative_information_score
3.7381893052626096
kb_relative_information_score
3.4855673966011627
kb_relative_information_score
3.888687793500983
kb_relative_information_score
3.8143854329611533
kb_relative_information_score
3.5813220992753183
kb_relative_information_score
3.598270637675735
mean_absolute_error
0.019783085643630252
mean_absolute_error
0.01978479135157711
mean_absolute_error
0.0197808280770377
mean_absolute_error
0.019780619043730564
mean_absolute_error
0.019780093505971576
mean_absolute_error
0.019781897648505704
mean_absolute_error
0.019779064214753263
mean_absolute_error
0.019779223218911506
mean_absolute_error
0.019780914817442593
mean_absolute_error
0.01978105038205399
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
0.0375
predictive_accuracy
0.04375
predictive_accuracy
0.05
predictive_accuracy
0.04375
predictive_accuracy
0.04375
predictive_accuracy
0.05
predictive_accuracy
0.05
predictive_accuracy
0.0625
predictive_accuracy
0.025
predictive_accuracy
0.0375
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
0.0375 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0.5,0.5,0]
recall
0.04375 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0.5,0.5,0]
recall
0.05 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,1,0,0,1]
recall
0.04375 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,1,0,0,0]
recall
0.04375 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0]
recall
0.05 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0.5]
recall
0.05 [0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.5,0.5,0,1,0.5]
recall
0.0625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0.5]
recall
0.025 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.5,0]
recall
0.0375 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,1,0]
relative_absolute_error
0.9991457395772838
relative_absolute_error
0.9992318864432868
relative_absolute_error
0.9990317210625085
relative_absolute_error
0.9990211638247743
relative_absolute_error
0.9989946215137144
relative_absolute_error
0.9990857398235188
relative_absolute_error
0.9989426371087491
relative_absolute_error
0.9989506676217915
relative_absolute_error
0.9990361018910383
relative_absolute_error
0.9990429485885838
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
0.09942236679401537
root_mean_squared_error
0.09943070499456054
root_mean_squared_error
0.09941115456825503
root_mean_squared_error
0.09941022368091852
root_mean_squared_error
0.09940796019145197
root_mean_squared_error
0.09941674310179167
root_mean_squared_error
0.0994030335918174
root_mean_squared_error
0.09940329905554271
root_mean_squared_error
0.09941168970136159
root_mean_squared_error
0.0994126677664889
root_relative_squared_error
0.9992323831055718
root_relative_squared_error
0.9993161851741629
root_relative_squared_error
0.9991196959967482
root_relative_squared_error
0.9991103402269988
root_relative_squared_error
0.9990875913019154
root_relative_squared_error
0.9991758628721098
root_relative_squared_error
0.9990380771125816
root_relative_squared_error
0.9990407451234069
root_relative_squared_error
0.999125074286831
root_relative_squared_error
0.9991349042112183
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
2472.0078809996267
usercpu_time_millis
2298.33153600066
usercpu_time_millis
2314.2973140011236
usercpu_time_millis
2371.935817999656
usercpu_time_millis
2253.338691999488
usercpu_time_millis
2256.4462460004506
usercpu_time_millis
2262.2897949995604
usercpu_time_millis
2297.582114000761
usercpu_time_millis
2290.850809999938
usercpu_time_millis
2260.707219001233
usercpu_time_millis_testing
152.61934299996938
usercpu_time_millis_testing
152.3655270002564
usercpu_time_millis_testing
153.72220000062953
usercpu_time_millis_testing
159.99743799966382
usercpu_time_millis_testing
150.8527089999916
usercpu_time_millis_testing
149.72894200036535
usercpu_time_millis_testing
154.9458159997812
usercpu_time_millis_testing
151.05434900033288
usercpu_time_millis_testing
156.51429900026415
usercpu_time_millis_testing
150.87035500073398
usercpu_time_millis_training
2319.3885379996573
usercpu_time_millis_training
2145.9660090004036
usercpu_time_millis_training
2160.575114000494
usercpu_time_millis_training
2211.9383799999923
usercpu_time_millis_training
2102.4859829994966
usercpu_time_millis_training
2106.7173040000853
usercpu_time_millis_training
2107.343978999779
usercpu_time_millis_training
2146.527765000428
usercpu_time_millis_training
2134.336510999674
usercpu_time_millis_training
2109.836864000499