8823818
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)
6798868
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"
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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"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
7661
threshold
0.0
7662
copy
true
7663
with_mean
false
7663
with_std
true
7663
C
379.97282517012763
7708
cache_size
200
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class_weight
null
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coef0
-0.5579803598864745
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decision_function_shape
null
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degree
5
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gamma
0.6134793370806008
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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
41283
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shrinking
true
7708
tol
0.00994547991313311
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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
18563474
description
https://api.openml.org/data/download/18563474/description.xml
-1
18563475
predictions
https://api.openml.org/data/download/18563475/predictions.arff
area_under_roc_curve
0.6857546164772726 [0.701113,0.815025,0.65625,0.801334,0.634608,0.749724,0.733902,0.59742,0.71291,0.974471,0.752052,0.665009,0.770241,0.576941,0.598761,0.653961,0.588778,0.758207,0.594184,0.56175,0.788786,0.651002,0.666785,0.742898,0.794152,0.755958,0.57919,0.661024,0.657809,0.668857,0.76014,0.642519,0.629538,0.806226,0.648872,0.96654,0.701152,0.690262,0.769926,0.598485,0.673986,0.6817,0.622593,0.657651,0.592645,0.684205,0.907,0.678662,0.678307,0.664714,0.666647,0.662504,0.687184,0.687105,0.692906,0.724787,0.813447,0.645557,0.672368,0.663037,0.644492,0.644689,0.637153,0.65262,0.66639,0.62938,0.732126,0.668482,0.668344,0.683475,0.619831,0.632063,0.743805,0.669291,0.641592,0.598209,0.672151,0.616911,0.677695,0.664437,0.663865,0.644176,0.668679,0.679865,0.663668,0.67657,0.638652,0.678168,0.671579,0.618924,0.787405,0.73256,0.661439,0.726326,0.675781,0.712397,0.654356,0.805674,0.607205,0.611269]
average_cost
0
kappa
0.001262626262626262
kb_relative_information_score
27.866060701943958
mean_absolute_error
0.019788824736312216
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
0.01125
prior_entropy
6.6438561897747395
recall
0.01125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.25,0.1875,0,0,0.3125,0.3125]
relative_absolute_error
0.9994355927430394
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09945076645722571
root_relative_squared_error
0.9995178104602417
total_cost
0
area_under_roc_curve
0.7283848568983362 [0.572327,0.939873,0.525316,0.842767,0.789557,0.962264,0.898734,0.132075,0.905063,0.993711,0.93038,0.572785,0.901899,0.851266,0.360759,0.559748,0.370253,0.911392,0.860759,0.345912,0.861635,0.471698,0.811321,0.842767,0.968553,0.933544,0.386076,0.791139,0.780063,0.415094,0.658228,0.598101,0.515823,0.89557,0.518987,0.974843,0.930818,0.823899,0.886792,0.515823,0.503145,0.86478,0.708861,0.712025,0.797468,0.949367,0.968553,0.930818,0.952532,0.607595,0.81962,0.870253,0.91195,0.829114,0.798742,0.962264,0.943038,0.440252,0.503145,0.917722,0.522013,0.603774,0.53481,0.751582,0.716981,0.471519,0.933544,0.496855,0.698113,0.761006,0.512658,0.471698,0.582278,0.952532,0.113208,0.376582,0.897152,0.5,0.952532,0.890823,0.80538,0.518987,0.591195,0.716981,0.846519,0.791139,0.71519,0.835443,0.712025,0.213836,0.911392,0.886792,0.778481,0.848101,0.727848,0.901899,0.867925,0.962025,0.325949,0.490566]
area_under_roc_curve
0.7310340538173712 [0.798742,0.946203,0.556962,0.861635,0.443038,0.949686,0.946203,0.213836,0.794304,0.981132,0.889241,0.958861,0.914557,0.484177,0.367089,0.45283,0.405063,0.933544,0.936709,0.308176,0.949686,0.666667,0.830189,0.974843,0.955975,0.863924,0.367089,0.506329,0.811709,0.534591,0.974684,0.667722,0.439873,0.927215,0.575949,0.987421,0.849057,0.874214,0.874214,0.487342,0.72956,0.937107,0.46519,0.776899,0.794304,0.851266,0.886792,0.81761,0.949367,0.873418,0.829114,0.765823,0.893082,0.865506,0.962264,0.993711,0.949367,0.471698,0.786164,0.827532,0.396226,0.484277,0.613924,0.778481,0.433962,0.462025,0.949367,0.641509,0.377358,0.886792,0.436709,0.45283,0.924051,0.865506,0.459119,0.436709,0.952532,0.610759,0.943038,0.64557,0.686709,0.60443,0.710692,0.833333,0.810127,0.884494,0.550633,0.775316,0.667722,0.138365,0.984177,0.930818,0.829114,0.835443,0.705696,0.952532,0.289308,0.889241,0.563291,0.383648]
area_under_roc_curve
0.7151562873178885 [0.928797,0.958861,0.528481,0.855346,0.474684,0.920886,0.798742,0.806962,0.81962,0.974684,0.952532,0.689873,0.937107,0.691456,0.601266,0.563291,0.373418,0.85443,0.949686,0.525316,0.672956,0.610063,0.778481,0.937107,0.855346,0.889241,0.408228,0.63522,0.871835,0.835443,0.257862,0.667722,0.60443,0.914557,0.591195,1,0.880503,0.899371,0.773585,0.338608,0.610759,0.811321,0.421384,0.125786,0.572785,0.827044,0.949367,0.698113,0.846519,0.867089,0.792722,0.440252,0.72327,0.879747,0.81761,0.924051,0.949686,0.553797,0.81761,0.693038,0.371069,0.27673,0.506329,0.553459,0.734177,0.443038,0.889241,0.588608,0.698113,0.905063,0.439873,0.443038,0.974843,0.943038,0.226415,0.547468,0.962025,0.382911,0.905063,0.825949,0.540881,0.620253,0.636076,0.77057,0.660377,0.830189,0.572327,0.862342,0.851266,0.113208,0.962025,0.72956,0.509434,0.962025,0.767405,0.779874,0.977848,0.901899,0.226415,0.547468]
area_under_roc_curve
0.7303981569938701 [0.813291,0.933544,0.588608,0.855346,0.651899,0.85443,0.924528,0.829114,0.870253,0.981013,0.905063,0.642405,0.90566,0.504747,0.487342,0.398734,0.310127,0.936709,0.779874,0.231013,0.930818,0.36478,0.889241,0.90566,0.981132,0.879747,0.401899,0.622642,0.743671,0.993671,0.981132,0.737342,0.462025,0.93038,0.465409,0.974843,0.867925,0.81761,0.811321,0.424051,0.691456,0.622642,0.433962,0.522013,0.829114,0.849057,0.905063,0.962264,0.955696,0.721519,0.827532,0.540881,0.886792,0.955696,0.823899,0.844937,0.924528,0.724684,0.773585,0.702532,0.446541,0.301887,0.594937,0.679245,0.841772,0.556962,0.971519,0.68038,0.72327,0.93038,0.348101,0.503165,0.798742,0.916139,0.471698,0.477848,0.838608,0.651899,0.920886,0.797468,0.716981,0.623418,0.64557,0.768987,0.484277,0.666667,0.597484,0.876582,0.822785,0.176101,0.952532,0.880503,0.654088,0.911392,0.775316,0.823899,0.952532,0.943038,0.584906,0.303797]
area_under_roc_curve
0.7198783685614203 [0.949367,0.949686,0.607595,0.968354,0.446541,0.857595,0.955975,0.31962,0.716981,0.933544,0.867089,0.677215,0.893082,0.63522,0.339623,0.537975,0.439873,0.93038,0.685535,0.313291,0.889241,0.582278,0.939873,0.962025,0.914557,0.813291,0.373418,0.371069,0.666667,0.860759,0.981132,0.805031,0.563291,0.838608,0.471698,0.955696,0.917722,0.53481,0.911392,0.493671,0.838608,0.949367,0.27044,0.54717,0.842767,0.748428,0.939873,0.920886,0.912975,0.884494,0.603774,0.440252,0.731013,0.72327,0.865506,0.914557,0.924528,0.585443,0.75,0.666667,0.493671,0.585443,0.459119,0.509434,0.737342,0.455696,0.867925,0.64557,0.751582,0.846519,0.414557,0.477848,0.767296,0.616352,0.666139,0.72956,0.908228,0.506329,0.955696,0.597484,0.396226,0.563291,0.655063,0.68038,0.720126,0.72327,0.295597,0.647799,0.844937,0.962025,0.679245,0.810127,0.572327,0.792453,0.862342,0.754717,0.626582,0.955975,0.704403,0.658228]
area_under_roc_curve
0.7024624830825571 [0.851266,0.974843,0.655063,0.952532,0.389937,0.756329,0.962264,0.310127,0.893082,0.96519,0.933544,0.392405,0.786164,0.484277,0.327044,0.629747,0.351266,0.977848,0.773585,0.291139,0.901899,0.683544,0.560127,0.955696,0.89557,0.882911,0.316456,0.63522,0.811321,0.993671,0.981132,0.427673,0.379747,0.860759,0.578616,0.892405,0.873418,0.860759,0.886076,0.376582,0.81962,0.96519,0.257862,0.672956,0.805031,0.672956,0.927215,0.85443,0.971519,0.851266,0.672956,0.446541,0.905063,0.710692,0.905063,0.794304,0.924528,0.553797,0.632911,0.540881,0.496835,0.531646,0.36478,0.591195,0.601266,0.436709,0.761006,0.683544,0.689873,0.85443,0.537975,0.553797,0.91195,0.584906,0.525316,0.396226,0.931962,0.686709,0.96519,0.610063,0.628931,0.5,0.648734,0.761076,0.503145,0.77673,0.45283,0.534591,0.860759,0.278481,0.968553,0.848101,0.720126,0.849057,0.803797,0.72956,0.471519,0.880503,0.754717,0.588608]
area_under_roc_curve
0.7342876761404347 [0.974684,0.918239,0.383648,0.955696,0.371069,0.933544,0.949367,0.746835,0.836478,0.958861,0.955975,0.245283,0.914557,0.72327,0.163522,0.718354,0.176101,0.761006,0.253165,0.664557,0.946203,0.582278,0.917722,0.892405,0.943038,0.855346,0.207547,0.734177,0.528302,0.547468,0.677215,0.735849,0.459119,0.830189,0.699367,0.971519,0.93038,0.892405,0.908228,0.201258,0.825949,0.759494,0.515823,0.786392,0.679245,0.897152,0.876582,0.772152,0.823899,0.641509,0.578616,0.670886,0.96519,0.845912,0.94462,0.835443,0.974684,0.613924,0.797468,0.490566,0.60443,0.810127,0.45283,0.705696,0.886076,0.339623,0.90566,0.825949,0.658228,0.837025,0.301887,0.474684,0.962025,0.858491,0.541139,0.257862,0.735849,0.559748,0.858491,0.805031,0.791139,0.345912,0.68038,0.772152,0.68038,0.886076,0.655063,0.792453,0.471698,0.594937,0.955975,0.93038,0.629747,0.981132,0.773585,0.639241,0.882911,0.899371,0.455696,0.537975]
area_under_roc_curve
0.7205207338189634 [0.892405,0.930818,0.27673,0.93038,0.226415,0.882911,0.60443,0.256329,0.849057,0.968354,0.735849,0.981132,0.898734,0.220126,0.490566,0.5,0.232704,0.767296,0.291139,0.588608,0.968354,0.553797,0.860759,0.870253,0.943038,0.886792,0.132075,0.832278,0.666667,0.723101,0.981013,0.490566,0.402516,0.886792,0.727848,0.974684,0.89557,0.939873,0.851266,0.119497,0.648734,0.955696,0.515823,0.661392,0.63522,0.93038,0.955696,0.848101,0.801887,0.446541,0.735849,0.792722,0.938291,0.81761,0.96519,0.829114,0.93038,0.658228,0.96519,0.820755,0.563291,0.677215,0.396226,0.662975,0.610759,0.647799,0.773585,0.772152,0.78481,0.71519,0.477987,0.462025,0.939873,0.823899,0.455696,0.761006,0.704403,0.320755,0.833333,0.654088,0.689873,0.371069,0.607595,0.794304,0.683544,0.841772,0.620253,0.647799,0.704403,0.591772,0.955975,0.572785,0.814873,0.955975,0.698113,0.968354,0.60443,0.955975,0.474684,0.585443]
area_under_roc_curve
0.7174908944351565 [0.908805,0.936709,0.559748,0.939873,0.487342,0.855346,0.873418,0.955975,0.762658,1,0.918239,0.150943,0.920886,0.446203,0.474684,0.421384,0.220126,0.90566,0.234177,0.308176,0.949367,0.575949,0.352201,0.607595,0.920886,0.91195,0.201258,0.636076,0.740506,0.465409,0.64557,0.553797,0.36478,0.805031,0.613924,1,0.943038,0.962025,0.882911,0.333333,0.786164,0.962025,0.452532,0.791139,0.18038,0.947785,0.955975,0.825949,0.798742,0.710692,0.776899,0.753165,0.824367,0.734177,0.903481,0.710692,0.886076,0.566038,0.667722,0.778481,0.617089,0.544304,0.541139,0.75,0.301887,0.402516,0.632911,0.748428,0.829114,0.899371,0.490566,0.672956,0.718354,0.723101,0.462025,0.560127,0.811321,0.496855,0.943396,0.898734,0.884494,0.704403,0.584906,0.679245,0.743671,0.957278,0.617089,0.860759,0.95283,0.56962,0.93038,0.914557,0.887658,0.939873,0.603774,0.829114,0.849057,0.977848,0.503165,0.522013]
area_under_roc_curve
0.7335925682668575 [0.893082,0.952532,0.389937,0.867089,0.547468,0.943396,0.908228,0.169811,0.860759,1,0.937107,0.201258,0.911392,0.560127,0.528481,0.647799,0.283019,0.962264,0.860759,0.748428,0.829114,0.639241,0.918239,0.816456,0.901899,0.937107,0.283019,0.816456,0.702532,0.515723,0.981013,0.560127,0.610063,0.955975,0.56962,0.958861,0.882911,0.841772,0.911392,0.295597,0.597484,0.919304,0.471519,0.634494,0.518987,0.832278,0.962264,0.936709,0.858491,0.899371,0.75,0.696203,0.946203,0.946203,0.919304,0.893082,0.949367,0.396226,0.748418,0.860759,0.471519,0.471519,0.718354,0.762658,0.572327,0.345912,0.987342,0.584906,0.579114,0.805031,0.591195,0.333333,0.946203,0.862342,0.696203,0.642405,0.647799,0.716981,0.845912,0.841772,0.765823,0.691824,0.45283,0.477987,0.772152,0.887658,0.411392,0.911392,0.830189,0.21519,0.901899,0.962025,0.64557,0.857595,0.63522,0.566456,0.283019,0.908228,0.474684,0.666667]
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
0.00695762175838077
kappa
0.000513976198948327
kappa
-0.012297837004231088
kappa
-0.005970975522954644
kappa
0.00019774569903104714
kappa
0.0000791076655327902
kappa
0.0003558859583218012
kappa
0.0065256080680245205
kappa
-0.005811884711184912
kappa
0.0004744583267436348
kb_relative_information_score
2.6715565933172156
kb_relative_information_score
2.624396084997087
kb_relative_information_score
2.794259557517195
kb_relative_information_score
2.7962809348453046
kb_relative_information_score
2.73897060499951
kb_relative_information_score
2.6486646018985804
kb_relative_information_score
2.924517589125577
kb_relative_information_score
2.9304221041722034
kb_relative_information_score
2.8805986511087327
kb_relative_information_score
2.8563939799625735
mean_absolute_error
0.01978951741772144
mean_absolute_error
0.01978995798756526
mean_absolute_error
0.019788801468343463
mean_absolute_error
0.019788402779441112
mean_absolute_error
0.019789160286011822
mean_absolute_error
0.019789617312517833
mean_absolute_error
0.01978814704085054
mean_absolute_error
0.01978787114246621
mean_absolute_error
0.01978851780186053
mean_absolute_error
0.019788254126344013
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
0.01875
predictive_accuracy
0.0125
predictive_accuracy
0
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.01875
predictive_accuracy
0.00625
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
0.01875 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0.5,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
recall
0.01875 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
recall
0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0]
relative_absolute_error
0.9994705766525963
relative_absolute_error
0.9994928276548094
relative_absolute_error
0.9994344175931025
relative_absolute_error
0.9994142817899535
relative_absolute_error
0.9994525396975651
relative_absolute_error
0.9994756218443334
relative_absolute_error
0.9994013656995206
relative_absolute_error
0.9993874314376857
relative_absolute_error
0.9994200910030555
relative_absolute_error
0.9994067740577768
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
0.09945432382902578
root_mean_squared_error
0.09945634940512492
root_mean_squared_error
0.09945026213005394
root_mean_squared_error
0.09944831928520904
root_mean_squared_error
0.09945186486824686
root_mean_squared_error
0.09945412100639693
root_mean_squared_error
0.0994480069397212
root_mean_squared_error
0.0994460815772106
root_mean_squared_error
0.09944985074422633
root_mean_squared_error
0.09944848429364936
root_relative_squared_error
0.999553563392062
root_relative_squared_error
0.9995739211978352
root_relative_squared_error
0.999512741781453
root_relative_squared_error
0.9994932154560701
root_relative_squared_error
0.9995288499063716
root_relative_squared_error
0.9995515249479442
root_relative_squared_error
0.9994900762658028
root_relative_squared_error
0.9994707256444906
root_relative_squared_error
0.9995086071983189
root_relative_squared_error
0.9994948738532935
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
2066.061656999999
usercpu_time_millis
1945.2582090000021
usercpu_time_millis
1876.4932380000018
usercpu_time_millis
1910.5668829999943
usercpu_time_millis
1964.9897519999938
usercpu_time_millis
1877.6601750000027
usercpu_time_millis
1850.5139389999954
usercpu_time_millis
1945.4500919999946
usercpu_time_millis
1849.801209000006
usercpu_time_millis
1854.4555789999963
usercpu_time_millis_testing
136.87338500000124
usercpu_time_millis_testing
185.99807800000434
usercpu_time_millis_testing
129.41303099999857
usercpu_time_millis_testing
134.1817799999987
usercpu_time_millis_testing
179.85193699999513
usercpu_time_millis_testing
134.45717599999796
usercpu_time_millis_testing
128.38917899999558
usercpu_time_millis_testing
187.30467199999623
usercpu_time_millis_testing
128.25703300000413
usercpu_time_millis_testing
128.2782669999989
usercpu_time_millis_training
1929.1882719999976
usercpu_time_millis_training
1759.2601309999977
usercpu_time_millis_training
1747.0802070000034
usercpu_time_millis_training
1776.3851029999955
usercpu_time_millis_training
1785.1378149999987
usercpu_time_millis_training
1743.2029990000046
usercpu_time_millis_training
1722.1247599999997
usercpu_time_millis_training
1758.1454199999982
usercpu_time_millis_training
1721.544176000002
usercpu_time_millis_training
1726.1773119999973