6001037
1
Jan van Rijn
9954
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4035769
axis
0
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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
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categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
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sparse
false
6948
threshold
0.0
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C
4.09752034654151
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cache_size
200
6953
class_weight
null
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coef0
0.37939664398070594
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decision_function_shape
null
6953
degree
3
6953
gamma
9.343172516302405e-05
6953
kernel
"sigmoid"
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max_iter
-1
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probability
true
6953
random_state
16218
6953
shrinking
true
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tol
0.0007825681544895776
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verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
12925191
description
https://api.openml.org/data/download/12925191/description.xml
-1
12925192
predictions
https://api.openml.org/data/download/12925192/predictions.arff
area_under_roc_curve
0.4633345170454547 [0.499014,0.428307,0.428385,0.426531,0.457071,0.456282,0.348485,0.41351,0.411735,0.400963,0.480666,0.479206,0.484059,0.49349,0.481416,0.511166,0.458531,0.471828,0.446496,0.498224,0.484691,0.486427,0.492306,0.478338,0.484493,0.440538,0.472696,0.439986,0.47964,0.479127,0.447483,0.476128,0.497554,0.478535,0.481495,0.476286,0.485717,0.492266,0.476562,0.47601,0.500118,0.477352,0.426215,0.438565,0.429017,0.480035,0.45131,0.484414,0.478851,0.479759,0.489938,0.434896,0.470644,0.426965,0.419231,0.485361,0.475852,0.477588,0.482718,0.485993,0.477983,0.493411,0.477904,0.4302,0.428385,0.482994,0.502249,0.476286,0.483231,0.494042,0.500671,0.476405,0.493016,0.467606,0.489268,0.480193,0.477904,0.505169,0.477667,0.483152,0.450324,0.45565,0.454822,0.456913,0.470999,0.439473,0.428149,0.447483,0.488202,0.491241,0.446575,0.426847,0.427991,0.457347,0.439591,0.442945,0.44184,0.347104,0.463384,0.362374]
average_cost
0
kappa
-0.00441919191919192
kb_relative_information_score
3.2048282055144326
mean_absolute_error
0.019799087220008508
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
0.005625
prior_entropy
6.6438561897747395
recall
0.005625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0625,0.5]
relative_absolute_error
0.9999539000004279
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09949432991274948
root_relative_squared_error
0.9999556396618893
total_cost
0
area_under_roc_curve
0.04857968115595895 [0.220126,0.031646,0.003165,0,0,0,0.009494,0.006289,0.006329,0,0.031646,0.03481,0.06962,0.088608,0.015823,0.220126,0.053797,0.060127,0.110759,0.119497,0.09434,0.018868,0.09434,0.018868,0,0.025316,0.117089,0.037975,0.003165,0.012579,0.06962,0,0.107595,0.022152,0.041139,0.012579,0.031447,0.08805,0,0.003165,0.069182,0.018868,0,0.015823,0,0.167722,0.006289,0.018868,0.015823,0.044304,0.082278,0.018987,0.025157,0.126582,0.018868,0.018868,0,0,0.012579,0.072785,0.006289,0.031447,0.006329,0.009494,0.012579,0.022152,0.123418,0,0.006289,0.352201,0.155063,0,0.072785,0.047468,0,0.009494,0.006329,0.167722,0.003165,0.031646,0.098101,0.012658,0.012579,0.031447,0.123418,0.031646,0.009494,0.006329,0.132911,0.113208,0.053797,0.006289,0.003165,0.117089,0.018987,0.018987,0.169811,0.047468,0.117089,0.037736]
area_under_roc_curve
0.046800364222593774 [0.213836,0.003165,0.003165,0,0,0,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.262658,0.003165,0.150943,0.050633,0.041139,0.053797,0.125786,0.044025,0.09434,0.169811,0.012579,0.031447,0.056962,0.151899,0.003165,0.025316,0,0.031646,0,0.085443,0.006329,0.025316,0.012579,0.037736,0.100629,0.012579,0,0.075472,0.006289,0,0.044304,0,0.120253,0,0.012579,0.009494,0.025316,0.056962,0.044304,0.012579,0.056962,0.018868,0.006289,0,0,0.044025,0.10443,0.006289,0.125786,0.012658,0.031646,0,0.031646,0.136076,0,0.194969,0.081761,0.142405,0,0.075949,0.053797,0.012579,0.015823,0.025316,0.170886,0.006329,0,0.050633,0.025316,0.006289,0.044025,0.101266,0.015823,0.003165,0.009494,0.044304,0.044025,0.03481,0,0.012658,0.18038,0.015823,0.031646,0.125786,0.037975,0.183544,0.062893]
area_under_roc_curve
0.04225827959557363 [0.107595,0.015823,0,0,0.003165,0.009494,0.044025,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.028481,0.075949,0.129747,0.012658,0.110759,0.056604,0.041139,0.119497,0.069182,0.234177,0.012579,0.044025,0.041139,0.139241,0.050314,0.006329,0.022152,0.08805,0,0.113924,0.012658,0.044025,0,0.050314,0.144654,0.006289,0.006329,0.136076,0.025157,0,0.006289,0.006329,0.194969,0,0.069182,0.022152,0.009494,0.044304,0,0.012579,0.006329,0.006289,0.028481,0,0.006329,0.075472,0.053797,0.006289,0.062893,0.003165,0.062893,0.006329,0.041139,0.129747,0,0.012579,0.066456,0.075949,0.006329,0.012579,0.025316,0.050314,0.009494,0.012658,0.037975,0.028481,0.044304,0.018868,0.025316,0.006329,0.031646,0.09434,0.037736,0,0.022152,0.088608,0.075472,0.082278,0,0,0.075949,0.044304,0.062893,0.050633,0.022152,0.081761,0.063291]
area_under_roc_curve
0.04562286044104772 [0.199367,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.094937,0.022152,0.120253,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.060127,0.006289,0.025157,0.047468,0.183544,0.025157,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.025157,0,0.044025,0.119497,0.006289,0,0.060127,0,0,0.006289,0.003165,0.132075,0.006329,0.025157,0.003165,0.006329,0.028481,0.006289,0.018868,0.164557,0.018868,0.075949,0,0.003165,0.044025,0.041139,0.018868,0.037736,0.009494,0.018868,0.009494,0.022152,0.101266,0.015823,0,0.167722,0.155063,0.006329,0.144654,0.037975,0.050314,0.009494,0.006329,0.14557,0,0.053797,0.100629,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.044304,0.041139,0.081761,0.110759,0,0.018868,0.075949,0.018987,0.069182,0.123418,0.025316,0.308176,0.012658]
area_under_roc_curve
0.04624084467797153 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.015823,0.062893,0.226415,0.031447,0.193038,0.022152,0.063291,0.069182,0.132911,0.025316,0.06962,0,0.006329,0.085443,0.041139,0.174051,0,0.018868,0.031646,0.044025,0,0.167722,0.018987,0.062893,0,0.072785,0.098101,0,0,0.139241,0.003165,0,0.018868,0,0.251572,0,0.018987,0,0.006329,0.025157,0.025157,0.006329,0.018868,0.009494,0.015823,0,0.022152,0.028481,0.037736,0,0.063291,0.012579,0,0.006329,0.018987,0.119497,0,0.041139,0.06962,0.10443,0,0.050314,0.031447,0.151899,0.018868,0.022152,0.113924,0.012658,0.056604,0.037736,0.012658,0.006329,0.037975,0.163522,0.037736,0.018868,0.018868,0.031646,0.056962,0.132075,0.009494,0,0.09434,0.06962,0.050314,0.047468,0,0.232704,0.142405]
area_under_roc_curve
0.048197794761563606 [0.253165,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.069182,0.037736,0.031447,0.183544,0.03481,0.098101,0.08805,0.148734,0.031646,0.085443,0.009494,0.003165,0.066456,0.047468,0.189873,0.075472,0.006289,0.018987,0.037736,0,0.091772,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.120253,0.012658,0,0.025157,0.006289,0.132075,0,0.056962,0.018987,0.012658,0.018868,0.012579,0.047468,0.056604,0.050633,0.047468,0,0.003165,0.031646,0.012579,0.018987,0.085443,0.012579,0.006289,0,0.050633,0.138365,0,0.015823,0.063291,0.123418,0.006329,0.08805,0.037736,0.053797,0.044025,0.012658,0.243671,0.003165,0.069182,0.056604,0,0,0.041139,0.113208,0.012579,0,0.006289,0.060127,0.056962,0.050314,0.006329,0.012579,0.044025,0.03481,0.018868,0.129747,0.012579,0.188679,0.132911]
area_under_roc_curve
0.04726857933285568 [0.098101,0.031447,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.006289,0.006289,0.056962,0.012579,0,0.234177,0.044025,0.106918,0.044304,0.142405,0.022152,0.025316,0.03481,0.018987,0.022152,0.144654,0.075472,0.107595,0,0,0.088608,0.006289,0.113208,0.031447,0.022152,0,0.044304,0.075949,0.003165,0,0.177215,0.012658,0,0.012658,0.075472,0.082278,0.009494,0.079114,0.018868,0.012579,0.100629,0.015823,0.041139,0.125786,0.056962,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.139241,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.03481,0.125786,0,0.075949,0.069182,0.044304,0.006289,0,0.257862,0.025157,0.025157,0.136076,0.018868,0.009494,0.012658,0.063291,0.012658,0,0.062893,0.044025,0.075949,0.037736,0,0.012658,0.138365,0.044025,0.018987,0.132911,0.050314,0.158228,0.072785]
area_under_roc_curve
0.044777734654884174 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.018987,0.018868,0,0.050314,0,0.047468,0.006289,0.056604,0.155063,0.025157,0.144654,0.06962,0.079114,0.028481,0.028481,0.136076,0.012658,0.025316,0.037736,0.132075,0.031646,0.144654,0.006329,0.06962,0,0.08805,0.012579,0.022152,0,0.056962,0.094937,0.003165,0,0.155063,0.003165,0,0.025316,0.031447,0.142405,0,0.047468,0.012579,0.044025,0.295597,0.044304,0.066456,0.075472,0.018987,0.047468,0,0,0.044304,0.056604,0.003165,0.120253,0.012579,0.006329,0.003165,0.075472,0.176101,0,0.037975,0.018987,0.132075,0,0.085443,0.018868,0.044304,0.018868,0,0.031447,0,0.031447,0.075949,0.018868,0.012658,0.022152,0.075949,0.03481,0,0.050314,0.062893,0.075949,0.031447,0,0.003165,0.031447,0.025157,0.028481,0.072785,0.037736,0.14557,0.151899]
area_under_roc_curve
0.042526222036462086 [0.075472,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.015823,0.060127,0.018987,0.176101,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.08805,0.015823,0.047468,0.018868,0.125786,0.012658,0,0.012579,0.056962,0,0.075472,0.012579,0.009494,0,0.047468,0.041139,0.006329,0,0.188679,0,0,0.028481,0.012658,0.256329,0,0.031646,0.025157,0.018868,0.085443,0.015823,0.015823,0.139241,0.044304,0.125786,0,0.025157,0.012658,0.025316,0.009494,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.132075,0.056604,0.006289,0.158228,0.022152,0.037975,0.047468,0,0.100629,0.018868,0.047468,0.098101,0.037736,0.006289,0.018868,0.03481,0.009494,0,0.031646,0.062893,0.088608,0.072785,0.006329,0.006329,0.091772,0.025157,0.085443,0.106918,0.006329,0.148734,0.08805]
area_under_roc_curve
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average_cost
0
average_cost
0
average_cost
0
average_cost
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average_cost
0
average_cost
0
average_cost
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average_cost
0
average_cost
0
average_cost
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kappa
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kappa
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kappa
0
kappa
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kappa
0
kappa
0
kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
0.3554421536851426
kb_relative_information_score
0.3554440672796661
kb_relative_information_score
0.30290462662283185
kb_relative_information_score
0.3029248377451597
kb_relative_information_score
0.2674771406268085
kb_relative_information_score
0.26750544182598285
kb_relative_information_score
0.323048574036364
kb_relative_information_score
0.323053804598656
kb_relative_information_score
0.3535047137875963
kb_relative_information_score
0.35352284530622524
mean_absolute_error
0.01979897855737934
mean_absolute_error
0.019798978371967084
mean_absolute_error
0.01979915241372186
mean_absolute_error
0.019799152283180178
mean_absolute_error
0.019799246401874138
mean_absolute_error
0.0197992462424067
mean_absolute_error
0.019799073362732927
mean_absolute_error
0.01979907321073129
mean_absolute_error
0.01979898563481562
mean_absolute_error
0.019798985721276315
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
predictive_accuracy
0
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
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
0.00625 [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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9999484119888539
relative_absolute_error
0.9999484026245986
relative_absolute_error
0.9999571926122134
relative_absolute_error
0.9999571860191991
relative_absolute_error
0.9999619394885911
relative_absolute_error
0.99996193143468
relative_absolute_error
0.999953200138025
relative_absolute_error
0.9999531924611746
relative_absolute_error
0.9999487694351307
relative_absolute_error
0.9999487738018324
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
0.09949380878241218
root_mean_squared_error
0.09949380784030133
root_mean_squared_error
0.09949463847986618
root_mean_squared_error
0.09949463782446907
root_mean_squared_error
0.09949509350546579
root_mean_squared_error
0.0994950927012114
root_mean_squared_error
0.09949426442311589
root_mean_squared_error
0.09949426365401773
root_mean_squared_error
0.09949384573255701
root_mean_squared_error
0.09949384617213589
root_relative_squared_error
0.9999504021049329
root_relative_squared_error
0.9999503926363625
root_relative_squared_error
0.999958740878098
root_relative_squared_error
0.999958734291109
root_relative_squared_error
0.999963314057443
root_relative_squared_error
0.9999633059743823
root_relative_squared_error
0.9999549814663068
root_relative_squared_error
0.9999549737365796
root_relative_squared_error
0.9999507734678612
root_relative_squared_error
0.9999507778857951
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
3103.073263000624
usercpu_time_millis
2938.8722769990636
usercpu_time_millis
2866.5525500000513
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
2607.8982039998664
usercpu_time_millis
2611.422543000117
usercpu_time_millis
2589.6395740001026
usercpu_time_millis
2590.60861999842
usercpu_time_millis_testing
176.31976900065638
usercpu_time_millis_testing
166.6488989994832
usercpu_time_millis_testing
164.88258600020345
usercpu_time_millis_testing
178.0727380000826
usercpu_time_millis_testing
149.99735499986855
usercpu_time_millis_testing
148.48470900051325
usercpu_time_millis_testing
149.98611999999412
usercpu_time_millis_testing
150.14241399967432
usercpu_time_millis_testing
156.17874800045684
usercpu_time_millis_testing
155.5879889992866
usercpu_time_millis_training
2926.7534939999678
usercpu_time_millis_training
2772.2233779995804
usercpu_time_millis_training
2701.669963999848
usercpu_time_millis_training
2517.176147999635
usercpu_time_millis_training
2457.982179999817
usercpu_time_millis_training
2451.761612000155
usercpu_time_millis_training
2457.9120839998723
usercpu_time_millis_training
2461.2801290004427
usercpu_time_millis_training
2433.4608259996457
usercpu_time_millis_training
2435.0206309991336