6124377
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)
4158395
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
4575.042171095124
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.621239426986137
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decision_function_shape
null
6953
degree
3
6953
gamma
5.656826792363555e-05
6953
kernel
"sigmoid"
6953
max_iter
-1
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probability
true
6953
random_state
11245
6953
shrinking
false
6953
tol
1.1285024520880145e-05
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
13174992
description
https://api.openml.org/data/download/13174992/description.xml
-1
13174993
predictions
https://api.openml.org/data/download/13174993/predictions.arff
area_under_roc_curve
0.33590909090909077 [0.419074,0.329545,0.342645,0.304845,0.316051,0.314986,0.312303,0.323193,0.313842,0.572759,0.321338,0.337279,0.347104,0.352115,0.322206,0.388139,0.316406,0.344736,0.341461,0.365333,0.327809,0.355508,0.354561,0.314749,0.329467,0.328835,0.383286,0.343158,0.314828,0.309935,0.333136,0.303662,0.359691,0.30958,0.345249,0.305911,0.331124,0.345328,0.312342,0.301807,0.391335,0.307528,0.301255,0.323035,0.307371,0.40696,0.303346,0.338502,0.33065,0.316367,0.353969,0.320312,0.329151,0.363518,0.319997,0.332741,0.301136,0.311237,0.320036,0.335859,0.307094,0.349511,0.307449,0.312737,0.306226,0.323311,0.37358,0.304727,0.334399,0.366753,0.366714,0.303188,0.348445,0.326271,0.361427,0.318813,0.309343,0.380682,0.307528,0.320904,0.348406,0.311948,0.311632,0.315301,0.373422,0.318458,0.303425,0.334991,0.339173,0.357599,0.340633,0.305516,0.308594,0.364031,0.359217,0.331795,0.356692,0.320628,0.395005,0.355705]
average_cost
0
kappa
-0.010101010101010102
kb_relative_information_score
13.746294721397481
mean_absolute_error
0.019797980792752214
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
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]
relative_absolute_error
0.9998980198359686
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09949320764731
root_relative_squared_error
0.9999443604698349
total_cost
0
area_under_roc_curve
0.04735341533317412 [0.232704,0.031646,0,0,0,0,0.006329,0.006289,0.006329,0,0.031646,0.03481,0.063291,0.094937,0.015823,0.213836,0.044304,0.060127,0.107595,0.113208,0.09434,0.018868,0.08805,0.012579,0,0.025316,0.117089,0.03481,0.003165,0.012579,0.066456,0,0.10443,0.018987,0.041139,0.012579,0.031447,0.08805,0,0.003165,0.125786,0.012579,0,0.012658,0,0.164557,0.006289,0.025157,0.015823,0.047468,0.082278,0.012658,0.025157,0.123418,0.018868,0.018868,0,0,0.012579,0.072785,0.006289,0.031447,0.006329,0.009494,0.012579,0.022152,0.123418,0,0.006289,0.314465,0.142405,0,0.066456,0.047468,0,0.009494,0.006329,0.164557,0.003165,0.031646,0.085443,0.012658,0.018868,0.031447,0.123418,0.031646,0.009494,0.006329,0.129747,0.106918,0.053797,0.006289,0.003165,0.107595,0.015823,0.018987,0.169811,0.050633,0.110759,0.031447]
area_under_roc_curve
0.04565147082238678 [0.232704,0.006329,0.003165,0,0,0.006289,0.003165,0,0.009494,0,0.025316,0.015823,0.028481,0.246835,0.003165,0.157233,0.037975,0.041139,0.053797,0.125786,0.044025,0.09434,0.169811,0.012579,0.031447,0.056962,0.148734,0,0.025316,0,0.028481,0,0.079114,0.006329,0.025316,0.012579,0.037736,0.100629,0.006289,0,0.125786,0.006289,0,0.044304,0,0.120253,0,0.025157,0.009494,0.025316,0.056962,0.044304,0.012579,0.053797,0.012579,0.006289,0,0,0.044025,0.101266,0.006289,0.119497,0.012658,0.028481,0,0.031646,0.136076,0,0.169811,0.075472,0.126582,0,0.06962,0.053797,0.012579,0.015823,0.018987,0.167722,0.006329,0,0.044304,0.028481,0.006289,0.044025,0.101266,0.015823,0.003165,0.006329,0.037975,0.044025,0.031646,0.006289,0.012658,0.174051,0.015823,0.028481,0.119497,0.037975,0.18038,0.062893]
area_under_roc_curve
0.052821729957805964 [0.079114,0.018987,0,0,0.003165,0.012658,0.044025,0.050633,0.022152,1,0.012658,0.015823,0.018868,0.025316,0.053797,0.117089,0.012658,0.107595,0.062893,0.041139,0.113208,0.056604,0.231013,0.012579,0.031447,0.041139,0.136076,0.056604,0.006329,0.022152,0.081761,0,0.110759,0.015823,0.044025,0,0.050314,0.144654,0.012579,0.009494,0.129747,0.025157,0,0.006289,0.006329,0.163522,0,0.069182,0.018987,0.009494,0.037975,0,0.006289,0.006329,0.012579,0.028481,0,0.006329,0.075472,0.060127,0.012579,0.062893,0.003165,0.062893,0.006329,0.044304,0.132911,0,0.012579,0.060127,0.066456,0.006329,0.012579,0.025316,0.044025,0.009494,0.012658,0.03481,0.028481,0.041139,0.025157,0.025316,0.006329,0.031646,0.08805,0.037736,0,0.015823,0.091772,0.075472,0.075949,0,0,0.075949,0.037975,0.062893,0.050633,0.022152,0.081761,0.037975]
area_under_roc_curve
0.05717374213836481 [0.234177,0.028481,0,0,0.006329,0.03481,0.012579,0.015823,0.022152,1,0.018987,0.022152,0.056604,0.085443,0.022152,0.117089,0.009494,0.082278,0.150943,0.091772,0.025157,0.012579,0.044304,0.006289,0.025157,0.047468,0.18038,0.044025,0.006329,0.009494,0.025157,0,0.091772,0.006329,0.031447,0,0.044025,0.119497,0.006289,0,0.063291,0,0,0.006289,0,0.08805,0.006329,0.025157,0,0.006329,0.025316,0.006289,0.018868,0.14557,0.012579,0.072785,0,0.003165,0.044025,0.037975,0.018868,0.037736,0.006329,0.018868,0.006329,0.022152,0.101266,0.012658,0,0.161392,0.161392,0.006329,0.138365,0.037975,0.044025,0.006329,0.006329,0.14557,0,0.050633,0.113208,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.031646,0.041139,0.081761,0.10443,0,0.025157,0.075949,0.015823,0.069182,0.120253,0.025316,0.308176,0.012658]
area_under_roc_curve
0.05834602141549246 [0.107595,0.018868,0.012658,0,0.018868,0.006329,0,0.037975,0.025157,1,0.022152,0.015823,0.062893,0.220126,0.025157,0.183544,0.015823,0.063291,0.069182,0.132911,0.025316,0.044304,0,0.006329,0.072785,0.041139,0.177215,0,0.018868,0.028481,0.044025,0,0.161392,0.018987,0.062893,0,0.06962,0.098101,0,0,0.189873,0,0,0.012579,0,0.251572,0,0.018987,0,0.009494,0.031447,0.044025,0.006329,0.018868,0.009494,0.015823,0,0.028481,0.028481,0.037736,0,0.063291,0.012579,0,0.003165,0.022152,0.119497,0,0.037975,0.060127,0.10443,0,0.044025,0.031447,0.14557,0.018868,0.022152,0.123418,0.006329,0.056604,0.044025,0.012658,0.006329,0.037975,0.150943,0.031447,0.018868,0.012579,0.03481,0.056962,0.132075,0.009494,0,0.09434,0.063291,0.050314,0.041139,0,0.232704,0.161392]
area_under_roc_curve
0.06053906934161294 [0.227848,0,0.015823,0,0,0.03481,0.006289,0.012658,0,0.993671,0.018987,0.025316,0.069182,0.037736,0.031447,0.164557,0.031646,0.094937,0.08805,0.14557,0.031646,0.063291,0.006329,0,0.053797,0.047468,0.193038,0.106918,0.006289,0.018987,0.037736,0,0.091772,0.009494,0.037736,0.003165,0.053797,0.082278,0.006329,0,0.186709,0.012658,0,0.025157,0.006289,0.125786,0,0.050633,0.018987,0.015823,0.012579,0.012579,0.041139,0.056604,0.053797,0.047468,0,0.006329,0.031646,0.018868,0.018987,0.088608,0.012579,0,0,0.056962,0.138365,0,0.015823,0.047468,0.123418,0.006329,0.08805,0.031447,0.044304,0.037736,0.012658,0.243671,0.003165,0.069182,0.075472,0,0.012658,0.041139,0.08805,0.012579,0,0.006289,0.066456,0.053797,0.050314,0.006329,0.018868,0.044025,0.03481,0.012579,0.129747,0.018868,0.188679,0.158228]
area_under_roc_curve
0.05842488655361838 [0.088608,0.037736,0,0,0,0.003165,0.006329,0.025316,0.006289,1,0.006289,0.006289,0.056962,0.012579,0,0.221519,0.044025,0.106918,0.047468,0.14557,0.022152,0.025316,0.028481,0.015823,0.022152,0.144654,0.081761,0.113924,0,0.003165,0.085443,0.006289,0.113208,0.031447,0.022152,0,0.041139,0.075949,0.003165,0,0.177215,0.006329,0,0.012658,0.075472,0.066456,0.009494,0.079114,0.018868,0.012579,0.113208,0.009494,0.031646,0.119497,0.056962,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.136076,0.012579,0,0.012658,0.062893,0.132075,0.006329,0.044304,0.03481,0.125786,0,0.075949,0.056604,0.03481,0.012579,0,0.257862,0.006289,0.025157,0.139241,0.018868,0.012658,0.012658,0.056962,0.012658,0,0.044025,0.050314,0.075949,0.044025,0,0.012658,0.138365,0.031447,0.015823,0.129747,0.050314,0.158228,0.066456]
area_under_roc_curve
0.05581462463179685 [0.053797,0.031447,0,0,0,0.006329,0.009494,0.015823,0.018868,1,0.050314,0,0.050633,0.006289,0.062893,0.139241,0.025157,0.144654,0.06962,0.075949,0.025316,0.028481,0.129747,0.015823,0.025316,0.037736,0.132075,0.03481,0.150943,0.006329,0.063291,0,0.08805,0.012579,0.018987,0,0.056962,0.094937,0.003165,0,0.158228,0.003165,0,0.022152,0.025157,0.132911,0,0.050633,0.012579,0.044025,0.283019,0.03481,0.050633,0.062893,0.018987,0.047468,0,0,0.044304,0.056604,0.003165,0.113924,0.012579,0.006329,0.003165,0.08805,0.176101,0,0.03481,0.022152,0.132075,0,0.075949,0.018868,0.044304,0.018868,0,0.031447,0,0.031447,0.085443,0.018868,0.015823,0.022152,0.050633,0.028481,0,0.025157,0.069182,0.06962,0.037736,0,0.003165,0.037736,0.025157,0.028481,0.072785,0.037736,0.14557,0.148734]
area_under_roc_curve
0.041971678210333596 [0.075472,0.031646,0.012579,0,0,0.018868,0.012658,0,0.012658,0,0.025157,0.006289,0.015823,0.056962,0.018987,0.176101,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.100629,0.015823,0.044304,0.018868,0.125786,0.012658,0,0.012579,0.044304,0,0.075472,0.012579,0.009494,0,0.047468,0.044304,0.006329,0,0.207547,0,0,0.028481,0.012658,0.25,0,0.031646,0.025157,0.018868,0.088608,0.009494,0.015823,0.142405,0.044304,0.125786,0,0.031447,0.012658,0.025316,0.006329,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.119497,0.056604,0.012579,0.161392,0.022152,0.031646,0.047468,0,0.119497,0.018868,0.047468,0.094937,0.037736,0.006289,0.018868,0.028481,0.009494,0,0.025316,0.069182,0.094937,0.06962,0.009494,0.006329,0.088608,0.025157,0.082278,0.081761,0.006329,0.148734,0.075472]
area_under_roc_curve
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average_cost
0
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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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
1.4016064674083648
kb_relative_information_score
1.4019145143353626
kb_relative_information_score
1.3434814797557904
kb_relative_information_score
1.3525117032263325
kb_relative_information_score
1.3039034559293596
kb_relative_information_score
1.3141518597428117
kb_relative_information_score
1.4020201613118675
kb_relative_information_score
1.4073599133713603
kb_relative_information_score
1.406281087062231
kb_relative_information_score
1.4130640792540057
mean_absolute_error
0.01979808007659585
mean_absolute_error
0.019797984672842286
mean_absolute_error
0.01979804461085434
mean_absolute_error
0.019798010829662902
mean_absolute_error
0.019798085759766673
mean_absolute_error
0.01979801674977299
mean_absolute_error
0.019797878810474602
mean_absolute_error
0.01979780877753897
mean_absolute_error
0.019797920221760808
mean_absolute_error
0.019797977418252392
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
predictive_accuracy
0
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
0.9999030341715058
relative_absolute_error
0.9998982158001138
relative_absolute_error
0.9999012429724397
relative_absolute_error
0.99989953685166
relative_absolute_error
0.9999033212003353
relative_absolute_error
0.999899835847119
relative_absolute_error
0.9998928692158874
relative_absolute_error
0.9998893321989363
relative_absolute_error
0.9998949606949885
relative_absolute_error
0.9998978494066848
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
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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
0.09949382913060993
root_mean_squared_error
0.09949332292468183
root_mean_squared_error
0.09949333420910388
root_mean_squared_error
0.0994931671854713
root_mean_squared_error
0.09949350926132368
root_mean_squared_error
0.09949314848681129
root_mean_squared_error
0.09949284578801086
root_mean_squared_error
0.09949247867552703
root_mean_squared_error
0.09949307154384693
root_mean_squared_error
0.09949336926158905
root_relative_squared_error
0.9999506066120151
root_relative_squared_error
0.9999455190510145
root_relative_squared_error
0.999945632463723
root_relative_squared_error
0.9999439538130556
root_relative_squared_error
0.9999473918047288
root_relative_squared_error
0.9999437658844513
root_relative_squared_error
0.9999407236470407
root_relative_squared_error
0.9999370340277537
root_relative_squared_error
0.9999429925785634
root_relative_squared_error
0.9999459847544544
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
3000.9005700000557
usercpu_time_millis
2707.450066999968
usercpu_time_millis
2694.352603000027
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
2706.909345999975
usercpu_time_millis
2695.6695479999553
usercpu_time_millis_testing
156.37564400003612
usercpu_time_millis_testing
151.8995199999722
usercpu_time_millis_testing
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usercpu_time_millis_testing
150.06908399999475
usercpu_time_millis_testing
144.96722799998452
usercpu_time_millis_testing
147.44272799998726
usercpu_time_millis_testing
148.63257099995053
usercpu_time_millis_testing
147.12639999999055
usercpu_time_millis_testing
149.18564999999262
usercpu_time_millis_testing
148.87414999998327
usercpu_time_millis_training
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usercpu_time_millis_training
2555.5505469999957
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
2537.6804559999755
usercpu_time_millis_training
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usercpu_time_millis_training
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