8700964
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)
6678383
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
[]
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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
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threshold
0.0
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copy
true
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with_mean
false
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with_std
true
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C
0.29796615067840354
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cache_size
200
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class_weight
null
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coef0
-0.6234238951548523
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decision_function_shape
null
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degree
1
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gamma
0.000435177820293499
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
45235
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shrinking
false
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tol
0.04160698400379098
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verbose
false
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openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18318841
description
https://api.openml.org/data/download/18318841/description.xml
-1
18318842
predictions
https://api.openml.org/data/download/18318842/predictions.arff
area_under_roc_curve
0.3190064709595959 [0.363873,0.314907,0.306463,0.124763,0.302596,0.309146,0.306779,0.31617,0.309817,0.301176,0.316406,0.319208,0.340396,0.338936,0.304253,0.412839,0.302557,0.346788,0.343829,0.378906,0.328322,0.332347,0.339607,0.307055,0.336253,0.343908,0.364465,0.34596,0.362926,0.321023,0.311829,0.303385,0.367503,0.312145,0.365807,0.315104,0.343,0.362847,0.305279,0.302162,0.408381,0.325718,0.301491,0.327296,0.248737,0.371488,0.303307,0.317116,0.34738,0.326192,0.372356,0.313171,0.325087,0.33357,0.324021,0.340159,0.000434,0.310211,0.322562,0.332229,0.313565,0.373422,0.306345,0.326113,0.317472,0.346117,0.354719,0.302951,0.312658,0.392282,0.410235,0.300821,0.349392,0.317708,0.349747,0.316564,0.332229,0.426728,0.309462,0.309383,0.320431,0.293837,0.327099,0.317906,0.349984,0.319839,0.138849,0.309501,0.353535,0.330769,0.338384,0.017243,0.30449,0.348406,0.321654,0.31617,0.349313,0.09596,0.376263,0.321457]
average_cost
0
kappa
-0.002525252525252526
kb_relative_information_score
13.711509609520915
mean_absolute_error
0.019802535365142357
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
0.0075
prior_entropy
6.6438561897747395
recall
0.0075 [0.75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
1.0001280487445616
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09951962592035285
root_relative_squared_error
1.000209874104054
total_cost
0
area_under_roc_curve
0.03332512339781867 [0.245283,0.031646,0,0,0.003165,0,0.003165,0.012579,0.006329,0,0.028481,0.044304,0.079114,0.056962,0,0.232704,0,0.028481,0.050633,0.144654,0.075472,0.006289,0.012579,0.012579,0.012579,0.022152,0.053797,0,0.003165,0.018868,0,0,0.088608,0.012658,0.025316,0.006289,0,0.044025,0,0,0.100629,0.012579,0,0.012658,0,0.142405,0.018868,0.006289,0.009494,0.050633,0.060127,0.006329,0.012579,0.028481,0.012579,0.012579,0,0,0.031447,0.053797,0.006289,0.025157,0.015823,0.012658,0.006289,0.025316,0.088608,0,0,0.144654,0.10443,0,0.009494,0.028481,0.006289,0.003165,0.003165,0.174051,0,0.009494,0.006329,0.003165,0.012579,0.031447,0.082278,0.025316,0.006329,0.003165,0.107595,0.081761,0.03481,0,0,0.075949,0.028481,0.025316,0.157233,0.025316,0.094937,0.037736]
area_under_roc_curve
0.032657133190032654 [0.201258,0.006329,0,0,0,0,0,0.006289,0.003165,0,0.018987,0.009494,0.044304,0.158228,0,0.144654,0,0.031646,0.022152,0.100629,0.006289,0.081761,0.056604,0,0.006289,0.047468,0.110759,0,0.015823,0,0,0,0.082278,0.003165,0.063291,0.006289,0.031447,0.075472,0.006289,0,0.176101,0.012579,0,0.03481,0,0.066456,0,0.006289,0.009494,0.018987,0.037975,0.03481,0.012579,0.018987,0,0.018868,0,0,0.044025,0.085443,0.006289,0.100629,0.006329,0.009494,0,0.018987,0.091772,0,0.050314,0.025157,0.06962,0,0.022152,0.018987,0.025157,0.003165,0.006329,0.151899,0.006329,0,0.025316,0.015823,0.006289,0.044025,0.050633,0.006329,0,0.006329,0.060127,0.025157,0.037975,0,0.006329,0.148734,0.022152,0.028481,0.125786,0.031646,0.129747,0.025157]
area_under_roc_curve
0.027958811002308754 [0.056962,0.009494,0.006329,0.006289,0.006329,0.006329,0.056604,0.044304,0.012658,0,0.012658,0.018987,0.037736,0.006329,0.015823,0.091772,0,0.098101,0.025157,0.03481,0.050314,0.138365,0.06962,0.006289,0.006289,0.031646,0.091772,0.025157,0.006329,0.003165,0,0,0.107595,0.018987,0.037736,0,0.037736,0.062893,0.018868,0.003165,0.082278,0.025157,0,0.006289,0.009494,0.069182,0,0.050314,0.012658,0.006329,0.018987,0,0.012579,0.015823,0,0.018987,0,0.003165,0.075472,0.044304,0.012579,0.050314,0.003165,0.037736,0.006329,0.031646,0.056962,0,0.025157,0.03481,0.050633,0.006329,0,0.006329,0.062893,0.009494,0.012658,0.041139,0.012658,0.009494,0.025157,0.015823,0.012658,0.03481,0.018868,0.012579,0,0.006329,0.056962,0.08805,0.06962,0,0,0.056962,0.056962,0.037736,0.047468,0.006329,0.081761,0.025316]
area_under_roc_curve
0.031715478465090374 [0.189873,0.031646,0.015823,0.006289,0.003165,0.037975,0.025157,0.022152,0.022152,0,0.012658,0.031646,0.08805,0.041139,0.006329,0.098101,0,0.053797,0.138365,0.094937,0.006289,0.012579,0.015823,0,0.018868,0.050633,0.03481,0.006289,0,0,0,0.003165,0.091772,0.009494,0.012579,0,0.037736,0.056604,0.012579,0,0.031646,0,0,0.006289,0,0.075472,0.006329,0.006289,0,0.003165,0.006329,0.006289,0.012579,0.072785,0.006289,0.053797,0,0,0.050314,0.028481,0.012579,0.044025,0.006329,0.012579,0.003165,0.012658,0.098101,0,0,0.091772,0.110759,0.003165,0.119497,0.012658,0.069182,0,0.003165,0.161392,0,0,0.025157,0.018987,0.031646,0.015823,0.006289,0,0,0.003165,0.006329,0.050314,0.037975,0,0.031447,0.044304,0.012658,0.044025,0.136076,0.031646,0.232704,0.009494]
area_under_roc_curve
0.031593822147918185 [0.041139,0.012579,0.012658,0.006329,0,0.006329,0.006289,0.025316,0.031447,0,0.028481,0.018987,0.100629,0.100629,0.018868,0.148734,0,0.018987,0.081761,0.098101,0,0.041139,0.006329,0.003165,0.012658,0.047468,0.088608,0,0.012579,0.006329,0,0,0.142405,0.022152,0.037736,0,0.050633,0.101266,0.006329,0,0.075949,0.003165,0,0.018868,0,0.113208,0,0.006329,0,0.018987,0.025157,0.062893,0.006329,0.006289,0.003165,0.025316,0,0.022152,0.037975,0.012579,0.018987,0.088608,0.018868,0,0.006329,0.003165,0,0,0.025316,0.018987,0.075949,0,0.006289,0.012579,0.164557,0.012579,0.022152,0.110759,0,0,0.025157,0,0.003165,0.037975,0.075472,0.050314,0,0.012579,0.018987,0.031646,0.062893,0.003165,0,0.119497,0.06962,0.050314,0.03481,0,0.220126,0.006329]
area_under_roc_curve
0.0360363924050633 [0.199367,0,0.028481,0,0,0.060127,0.018868,0.028481,0,0,0.015823,0.031646,0.106918,0.018868,0.018868,0.110759,0,0.053797,0,0.123418,0.022152,0.085443,0.022152,0,0.018987,0.053797,0.041139,0.031447,0.006289,0.003165,0,0,0.075949,0.006329,0.106918,0.006329,0.022152,0.088608,0.012658,0,0.129747,0.009494,0,0.025157,0.006289,0.050314,0,0.044304,0.018987,0.006329,0.018868,0.012579,0.025316,0.031447,0.031646,0.053797,0,0.003165,0.031646,0.012579,0.022152,0.113924,0.018868,0,0,0.028481,0.031447,0,0.012658,0.03481,0.098101,0.006329,0.018868,0,0.066456,0.012579,0.003165,0.199367,0.006329,0.031447,0.044025,0,0.015823,0.044304,0.044025,0,0,0.006289,0.053797,0.03481,0.031447,0,0.025157,0.018868,0.03481,0.025157,0.094937,0.006289,0.220126,0.047468]
area_under_roc_curve
0.03162989610699788 [0.06962,0.018868,0,0,0,0,0.012658,0.031646,0.006289,0,0,0.006289,0.063291,0.012579,0,0.199367,0,0.125786,0.015823,0.132911,0.003165,0.031646,0.041139,0.006329,0.009494,0.119497,0.044025,0.03481,0,0.012658,0.012658,0.006289,0.119497,0.018868,0.009494,0,0.031646,0.066456,0.003165,0,0.050633,0.009494,0,0.012658,0.044025,0.015823,0.009494,0.050633,0.012579,0.012579,0.075472,0.006329,0.018987,0.044025,0.037975,0.041139,0,0.003165,0.037975,0.006289,0,0.174051,0,0.009494,0.003165,0.044025,0.100629,0,0.018987,0.003165,0.031447,0,0.018987,0,0.044304,0,0,0.295597,0.006289,0.018868,0.091772,0,0.025316,0.022152,0.037975,0.015823,0,0,0.056604,0.053797,0.025157,0,0.009494,0.081761,0.025157,0.015823,0.107595,0.037736,0.085443,0.012658]
area_under_roc_curve
0.03339851524560149 [0.056962,0.037736,0,0,0,0.003165,0.018987,0.025316,0.025157,0,0.044025,0.012579,0.060127,0.006289,0.006289,0.132911,0,0.144654,0.031646,0.031646,0,0.03481,0.018987,0.012658,0.018987,0.031447,0.075472,0.009494,0.119497,0.012658,0,0,0.08805,0.012579,0.031646,0,0.056962,0.072785,0.006329,0,0.123418,0.006329,0,0.015823,0.018868,0.120253,0,0.025316,0.012579,0.050314,0.226415,0.03481,0.037975,0.012579,0.009494,0.056962,0,0,0.037975,0.106918,0.009494,0.139241,0.006289,0,0.003165,0.069182,0.220126,0,0.009494,0.009494,0.075472,0,0.015823,0.025157,0.091772,0.006289,0,0.037736,0,0.006289,0.037975,0.006289,0.025316,0.025316,0.053797,0.031646,0,0,0.081761,0.03481,0.031447,0,0,0.037736,0.037736,0.025316,0.050633,0.012579,0.091772,0.06962]
area_under_roc_curve
0.02771748865536185 [0.037736,0.044304,0.006289,0.003165,0,0.006289,0.009494,0.006289,0.028481,0,0.025157,0.025157,0.03481,0.025316,0,0.144654,0,0.075472,0.012658,0.125786,0,0.015823,0.056604,0.015823,0.003165,0.025157,0.100629,0,0,0,0,0,0.081761,0.012579,0.015823,0,0.028481,0.060127,0.006329,0,0.081761,0,0,0.022152,0.006329,0.120253,0,0.022152,0.018868,0.031447,0.063291,0.003165,0.009494,0.050633,0.028481,0.09434,0,0.012579,0.018987,0.018987,0.009494,0.101266,0,0.006329,0.006289,0.018868,0.110759,0.006289,0.009494,0.037736,0.037736,0.012579,0.098101,0.006329,0.056962,0.022152,0,0.031447,0.012579,0.006329,0.025316,0.006289,0.006289,0.025157,0.025316,0.015823,0,0.006329,0.018868,0.06962,0.047468,0,0.009494,0.075949,0.037736,0.085443,0.050314,0,0.110759,0.025157]
area_under_roc_curve
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average_cost
0
average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
1.4159274713788506
kb_relative_information_score
1.4168165507656878
kb_relative_information_score
1.343210937751428
kb_relative_information_score
1.352637162868114
kb_relative_information_score
1.3202184939660375
kb_relative_information_score
1.329574850167994
kb_relative_information_score
1.3750139289635477
kb_relative_information_score
1.3896145505824873
kb_relative_information_score
1.3708576724322383
kb_relative_information_score
1.3976379906445504
mean_absolute_error
0.019802532543076897
mean_absolute_error
0.019802449113579052
mean_absolute_error
0.019802699119879967
mean_absolute_error
0.019802547198924436
mean_absolute_error
0.019802557114628055
mean_absolute_error
0.01980261272487966
mean_absolute_error
0.019802579129321176
mean_absolute_error
0.01980235047340636
mean_absolute_error
0.01980254561169365
mean_absolute_error
0.019802480622034126
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
0.0125
predictive_accuracy
0.0125
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 [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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
1.0001279062160031
relative_absolute_error
1.000123692605001
relative_absolute_error
1.0001363191858552
relative_absolute_error
1.0001286464103234
relative_absolute_error
1.0001291472034355
relative_absolute_error
1.0001319558020014
relative_absolute_error
1.0001302590566234
relative_absolute_error
1.0001187107780973
relative_absolute_error
1.0001285662471524
relative_absolute_error
1.0001252839411159
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
0.0995197785524224
root_mean_squared_error
0.09951934432423261
root_mean_squared_error
0.09952032002667913
root_mean_squared_error
0.09951958755148177
root_mean_squared_error
0.0995194713721012
root_mean_squared_error
0.09951976598483446
root_mean_squared_error
0.09951992334614561
root_mean_squared_error
0.09951875756102647
root_mean_squared_error
0.09951982323349647
root_mean_squared_error
0.09951948724342169
root_relative_squared_error
1.0002114081140716
root_relative_squared_error
1.0002070439565596
root_relative_squared_error
1.0002168501351114
root_relative_squared_error
1.0002094884823904
root_relative_squared_error
1.0002083208356822
root_relative_squared_error
1.0002112818050601
root_relative_squared_error
1.0002128633457437
root_relative_squared_error
1.0002011467644518
root_relative_squared_error
1.000211857175762
root_relative_squared_error
1.0002084803484548
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
2055.640468999627
usercpu_time_millis
1890.5213619991628
usercpu_time_millis
1900.0953360000494
usercpu_time_millis
1906.1807870002667
usercpu_time_millis
1911.7889369990735
usercpu_time_millis
1925.6153339993034
usercpu_time_millis
1911.677533999864
usercpu_time_millis
1917.0914469996205
usercpu_time_millis
1914.1503029995874
usercpu_time_millis
1918.3708370010208
usercpu_time_millis_testing
128.37038199995732
usercpu_time_millis_testing
128.45238399950176
usercpu_time_millis_testing
128.36921100006293
usercpu_time_millis_testing
127.0914710003126
usercpu_time_millis_testing
133.26882699948328
usercpu_time_millis_testing
135.20381199941767
usercpu_time_millis_testing
131.7153709997001
usercpu_time_millis_testing
133.52727700021205
usercpu_time_millis_testing
133.3233659997859
usercpu_time_millis_testing
136.6497970002456
usercpu_time_millis_training
1927.2700869996697
usercpu_time_millis_training
1762.068977999661
usercpu_time_millis_training
1771.7261249999865
usercpu_time_millis_training
1779.0893159999541
usercpu_time_millis_training
1778.5201099995902
usercpu_time_millis_training
1790.4115219998857
usercpu_time_millis_training
1779.9621630001639
usercpu_time_millis_training
1783.5641699994085
usercpu_time_millis_training
1780.8269369998015
usercpu_time_millis_training
1781.7210400007752