6054702
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)
4089355
axis
0
6947
categorical_features
[]
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copy
true
6947
fill_empty
0
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missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
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verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
C
0.7292790113698648
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.0
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decision_function_shape
null
6953
degree
3
6953
gamma
0.051789453316451683
6953
kernel
"rbf"
6953
max_iter
-1
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probability
true
6953
random_state
25123
6953
shrinking
false
6953
tol
0.007053641701114141
6953
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
13032554
description
https://api.openml.org/data/download/13032554/description.xml
-1
13032555
predictions
https://api.openml.org/data/download/13032555/predictions.arff
area_under_roc_curve
0.38619949494949496 [0.391927,0.318655,0.311395,0.302794,0.309343,0.313565,0.308791,0.321654,0.315065,0.301491,0.332071,0.355824,0.350931,0.448509,0.381471,0.474905,0.343868,0.357876,0.371173,0.430279,0.349313,0.431424,0.435764,0.347617,0.378551,0.355863,0.446772,0.394137,0.474353,0.363123,0.348682,0.356297,0.38155,0.315696,0.442669,0.31467,0.358546,0.379025,0.34667,0.354009,0.498777,0.469184,0.309856,0.417456,0.313763,0.449732,0.317787,0.362453,0.462831,0.448193,0.461253,0.335306,0.422033,0.375197,0.408183,0.352115,0.301136,0.423019,0.361545,0.445391,0.373658,0.369634,0.316406,0.429569,0.422546,0.442077,0.39319,0.325955,0.437105,0.486664,0.488479,0.310803,0.457663,0.427478,0.442195,0.419547,0.453401,0.490767,0.455137,0.402699,0.411577,0.359848,0.452809,0.361664,0.448509,0.42511,0.330177,0.398003,0.458886,0.423453,0.348682,0.315459,0.360559,0.388218,0.417693,0.341974,0.393624,0.321023,0.394807,0.37137]
average_cost
0
kappa
-0.00883838383838384
kb_relative_information_score
66.56715622721725
mean_absolute_error
0.019779175177797738
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
0.00125
prior_entropy
6.6438561897747395
recall
0.00125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125]
relative_absolute_error
0.9989482413029143
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09946577579597214
root_relative_squared_error
0.9996686599904636
total_cost
0
area_under_roc_curve
0.04809803160576389 [0.220126,0.028481,0,0,0,0,0.006329,0.006289,0.006329,0,0.031646,0.03481,0.063291,0.088608,0.015823,0.220126,0.047468,0.060127,0.10443,0.125786,0.09434,0.018868,0.150943,0.018868,0,0.025316,0.123418,0.022152,0.003165,0.012579,0.066456,0,0.107595,0.022152,0.041139,0.012579,0.031447,0.08805,0,0.003165,0.132075,0.018868,0,0.012658,0,0.14557,0.006289,0.018868,0.015823,0.037975,0.075949,0.012658,0.025157,0.126582,0.018868,0.018868,0,0,0.012579,0.072785,0.006289,0.031447,0.006329,0.009494,0.012579,0.022152,0.123418,0,0.006289,0.371069,0.14557,0,0.06962,0.050633,0,0.009494,0.006329,0.167722,0.003165,0.031646,0.088608,0.012658,0.018868,0.031447,0.120253,0.031646,0.009494,0.006329,0.129747,0.113208,0.053797,0.006289,0.003165,0.110759,0.012658,0.022152,0.169811,0.047468,0.110759,0.062893]
area_under_roc_curve
0.04663740944192344 [0.213836,0.003165,0.003165,0,0,0,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.265823,0.003165,0.157233,0.037975,0.041139,0.050633,0.132075,0.044025,0.113208,0.176101,0.012579,0.031447,0.056962,0.148734,0,0.025316,0,0.031646,0,0.085443,0.006329,0.025316,0.012579,0.037736,0.100629,0.006289,0,0.150943,0.006289,0,0.044304,0,0.117089,0,0.018868,0.009494,0.025316,0.056962,0.044304,0.012579,0.053797,0.018868,0,0,0,0.044025,0.10443,0.006289,0.119497,0.012658,0.028481,0,0.028481,0.136076,0,0.169811,0.081761,0.136076,0,0.06962,0.050633,0.012579,0.015823,0.018987,0.170886,0.006329,0,0.053797,0.028481,0.012579,0.044025,0.094937,0.015823,0.003165,0.006329,0.037975,0.050314,0.031646,0,0.009494,0.18038,0.015823,0.031646,0.132075,0.037975,0.18038,0.08805]
area_under_roc_curve
0.04233540323222675 [0.107595,0.018987,0,0.006289,0.006329,0.012658,0.044025,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.028481,0.060127,0.123418,0.012658,0.107595,0.056604,0.041139,0.113208,0.125786,0.231013,0.012579,0.044025,0.041139,0.139241,0.050314,0.006329,0.022152,0.08805,0,0.113924,0.012658,0.031447,0,0.050314,0.150943,0.006289,0.006329,0.18038,0.025157,0,0.006289,0.006329,0.18239,0,0.069182,0.022152,0.009494,0.03481,0,0.012579,0.006329,0,0.028481,0,0.006329,0.069182,0.060127,0.018868,0.062893,0.003165,0.069182,0.006329,0.044304,0.132911,0,0.012579,0.06962,0.06962,0.006329,0.025157,0.028481,0.056604,0.009494,0.012658,0.03481,0.025316,0.044304,0.018868,0.025316,0.006329,0.031646,0.08805,0.031447,0,0.015823,0.085443,0.075472,0.075949,0,0,0.075949,0.047468,0.062893,0.050633,0.022152,0.081761,0.03481]
area_under_roc_curve
0.04507055568824141 [0.231013,0.022152,0,0,0.009494,0.03481,0.012579,0.015823,0.022152,0,0.018987,0.018987,0.044025,0.085443,0.018987,0.117089,0.009494,0.082278,0.144654,0.091772,0.025157,0.012579,0.03481,0,0.025157,0.047468,0.18038,0.044025,0.006329,0.012658,0.025157,0,0.091772,0.006329,0.012579,0,0.044025,0.119497,0.006289,0,0.10443,0,0,0.006289,0,0.106918,0.006329,0.025157,0,0.006329,0.028481,0.006289,0.044025,0.14557,0.012579,0.072785,0,0.003165,0.044025,0.044304,0.006289,0.025157,0.006329,0.018868,0.006329,0.031646,0.098101,0.015823,0,0.161392,0.161392,0.006329,0.144654,0.044304,0.050314,0.006329,0.006329,0.142405,0.003165,0.056962,0.100629,0.03481,0.006329,0.015823,0.006289,0.025157,0,0.031646,0.041139,0.081761,0.10443,0,0.018868,0.075949,0.012658,0.069182,0.120253,0.025316,0.308176,0.012658]
area_under_roc_curve
0.04718697754955818 [0.101266,0.018868,0.009494,0,0.018868,0.003165,0,0.037975,0.031447,0,0.022152,0.015823,0.069182,0.226415,0.037736,0.183544,0.022152,0.066456,0.069182,0.132911,0.028481,0.047468,0,0.006329,0.079114,0.041139,0.177215,0,0.018868,0.03481,0.037736,0,0.167722,0.018987,0.062893,0,0.072785,0.098101,0,0,0.218354,0.003165,0,0.031447,0,0.289308,0,0.018987,0,0.009494,0.037736,0.031447,0.006329,0.044025,0.009494,0.015823,0,0.028481,0.028481,0.031447,0,0.063291,0.012579,0,0.003165,0.022152,0.119497,0,0.03481,0.06962,0.10443,0,0.037736,0.018868,0.14557,0.018868,0.025316,0.126582,0.009494,0.056604,0.025157,0.012658,0.009494,0.037975,0.176101,0.037736,0.018868,0.031447,0.03481,0.053797,0.132075,0.009494,0,0.08805,0.060127,0.050314,0.037975,0,0.232704,0.151899]
area_under_roc_curve
0.048946142823023675 [0.221519,0,0.012658,0,0,0.03481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.050314,0.044025,0.037736,0.167722,0.037975,0.094937,0.075472,0.148734,0.03481,0.066456,0.012658,0,0.063291,0.047468,0.193038,0.018868,0.012579,0.018987,0.025157,0,0.091772,0.009494,0.025157,0.003165,0.053797,0.082278,0.006329,0,0.212025,0.009494,0,0.031447,0.006289,0.138365,0,0.053797,0.018987,0.012658,0.069182,0.012579,0.041139,0.069182,0.053797,0.047468,0,0.003165,0.031646,0.025157,0.018987,0.088608,0.012579,0.006289,0,0.053797,0.144654,0,0.015823,0.050633,0.123418,0.006329,0.081761,0.056604,0.047468,0.044025,0.012658,0.246835,0.003165,0.069182,0.037736,0,0.012658,0.041139,0.157233,0.012579,0,0.018868,0.060127,0.053797,0.050314,0.006329,0.012579,0.044025,0.03481,0.018868,0.126582,0.012579,0.213836,0.14557]
area_under_roc_curve
0.045885827163442416 [0.091772,0.037736,0,0,0,0.003165,0.006329,0.028481,0.006289,0,0.006289,0,0.056962,0.012579,0,0.237342,0.044025,0.106918,0.041139,0.142405,0.022152,0.025316,0.022152,0.018987,0.022152,0.144654,0.075472,0.10443,0,0,0.085443,0.006289,0.113208,0.031447,0.018987,0,0.044304,0.075949,0.003165,0,0.183544,0.012658,0,0.012658,0.075472,0.075949,0.009494,0.079114,0.012579,0.012579,0.100629,0.015823,0.041139,0.100629,0.050633,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.132911,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.018987,0.125786,0,0.079114,0.081761,0.037975,0.006289,0,0.264151,0.031447,0.025157,0.142405,0.018868,0.009494,0.012658,0.056962,0.012658,0,0.044025,0.044025,0.072785,0.037736,0,0.012658,0.132075,0.031447,0.015823,0.132911,0.050314,0.155063,0.056962]
area_under_roc_curve
0.04315813828516839 [0.056962,0.025157,0,0,0,0.006329,0.009494,0.015823,0.018868,0,0.050314,0,0.050633,0.006289,0.056604,0.158228,0.025157,0.150943,0.066456,0.075949,0.025316,0.031646,0.120253,0.012658,0.025316,0.037736,0.132075,0.022152,0.119497,0.006329,0.066456,0,0.09434,0.012579,0.018987,0,0.053797,0.094937,0.003165,0,0.177215,0.003165,0,0.022152,0.025157,0.136076,0,0.047468,0.012579,0.037736,0.283019,0.041139,0.066456,0.069182,0.012658,0.047468,0,0,0.044304,0.062893,0.003165,0.110759,0.012579,0.006329,0.003165,0.069182,0.18239,0,0.03481,0.009494,0.132075,0,0.085443,0.018868,0.044304,0.012579,0,0.031447,0,0.031447,0.075949,0.018868,0.015823,0.022152,0.056962,0.03481,0,0.031447,0.069182,0.072785,0.037736,0,0.003165,0.031447,0.025157,0.018987,0.072785,0.037736,0.139241,0.142405]
area_under_roc_curve
0.0449287477111695 [0.044025,0.03481,0.012579,0,0,0.018868,0.012658,0,0.022152,0,0.025157,0.006289,0.015823,0.056962,0.018987,0.169811,0.012579,0.09434,0.060127,0.119497,0.012658,0.044304,0.125786,0.015823,0.047468,0.025157,0.132075,0.006329,0.003165,0.018868,0.050633,0,0.075472,0.012579,0.009494,0,0.044304,0.044304,0.006329,0,0.295597,0,0,0.028481,0.012658,0.272152,0,0.03481,0.025157,0.018868,0.091772,0.015823,0.025316,0.151899,0.037975,0.119497,0,0.044025,0.012658,0.025316,0.009494,0.091772,0,0.006329,0.006289,0.018868,0.148734,0,0.018987,0.132075,0.069182,0.006289,0.158228,0.022152,0.041139,0.050633,0.006289,0.125786,0.018868,0.047468,0.094937,0.037736,0.012579,0.018868,0.03481,0.012658,0,0.03481,0.125786,0.091772,0.072785,0.006329,0.006329,0.088608,0.025157,0.085443,0.09434,0.006329,0.148734,0.106918]
area_under_roc_curve
0.04323600827959559 [0.09434,0.053797,0,0,0,0,0.003165,0,0.015823,0,0.025157,0.006289,0.037975,0.050633,0.031646,0.220126,0.031447,0.025157,0.06962,0.132075,0.06962,0.120253,0.006289,0.018987,0.050633,0.012579,0.132075,0.041139,0.025316,0.044025,0.028481,0,0.144654,0,0.022152,0.006329,0.03481,0.047468,0,0,0.138365,0.006329,0,0.012658,0.012658,0.041139,0,0.041139,0.012579,0.012579,0.053797,0.012658,0.047468,0.110759,0.009494,0.037736,0,0.018868,0.031646,0.060127,0.012658,0.050633,0.015823,0.012658,0.018868,0.037736,0.136076,0,0,0.056604,0.163522,0,0.047468,0.044304,0.132911,0.03481,0.006289,0.194969,0.012579,0.022152,0.050633,0.025157,0.037736,0.006289,0.053797,0.009494,0.003165,0.050633,0.037736,0.107595,0.088608,0,0.006329,0.123418,0.006289,0.047468,0.163522,0.044304,0.199367,0.132075]
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
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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
-0.012658227848101266
kappa
-0.012658227848101266
kappa
-0.012658227848101266
kb_relative_information_score
6.830678547158913
kb_relative_information_score
6.83134817070723
kb_relative_information_score
6.56545498928418
kb_relative_information_score
6.571955071061718
kb_relative_information_score
6.397383464755997
kb_relative_information_score
6.404116740901729
kb_relative_information_score
6.675005908502296
kb_relative_information_score
6.6786649869856
kb_relative_information_score
6.804644705159919
kb_relative_information_score
6.807903642699648
mean_absolute_error
0.01977856212365641
mean_absolute_error
0.019778516591957677
mean_absolute_error
0.019779505095481563
mean_absolute_error
0.019779468162402624
mean_absolute_error
0.019780150098913447
mean_absolute_error
0.01978009916715316
mean_absolute_error
0.019779116226949243
mean_absolute_error
0.01977907723390852
mean_absolute_error
0.019778620453465852
mean_absolute_error
0.019778636624088807
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
predictive_accuracy
0
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
0.00625 [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
0.00625 [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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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]
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
0.9989172789725445
relative_absolute_error
0.9989149793918003
relative_absolute_error
0.9989649038121985
relative_absolute_error
0.9989630385051814
relative_absolute_error
0.9989974797431017
relative_absolute_error
0.998994907431976
relative_absolute_error
0.9989452639873337
relative_absolute_error
0.9989432946418428
relative_absolute_error
0.9989202249225161
relative_absolute_error
0.9989210416206453
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
0.09946626295739336
root_mean_squared_error
0.09946599134948665
root_mean_squared_error
0.0994653996203572
root_mean_squared_error
0.09946521985915996
root_mean_squared_error
0.0994652449939405
root_mean_squared_error
0.09946498668967074
root_mean_squared_error
0.09946619077252973
root_mean_squared_error
0.09946597236231376
root_mean_squared_error
0.09946619139606336
root_mean_squared_error
0.09946629794726866
root_relative_squared_error
0.9996735561469684
root_relative_squared_error
0.9996708263847968
root_relative_squared_error
0.9996648792832821
root_relative_squared_error
0.9996630726152727
root_relative_squared_error
0.9996633252293218
root_relative_squared_error
0.9996607291737323
root_relative_squared_error
0.9996728306617922
root_relative_squared_error
0.9996706355565292
root_relative_squared_error
0.9996728369285409
root_relative_squared_error
0.9996739078084468
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
2862.4583079999866
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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