8956978
1935
Hilde Weerts
9954
Supervised Classification
8317
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)
6892589
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
copy
true
7646
with_mean
false
7646
with_std
true
7646
C
1315.1210787726648
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.7680489957186237
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.4428475133086083
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.011808533958931262
7650
verbose
false
7650
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
memory
null
8317
openml-python
Sklearn_0.19.1.
study_98
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18829238
description
https://api.openml.org/data/download/18829238/description.xml
-1
18829239
predictions
https://api.openml.org/data/download/18829239/predictions.arff
area_under_roc_curve
0.5789141414141415 [0.561869,0.530934,0.5625,0.478851,0.5625,0.518308,0.625,0.53125,0.593119,0.65625,0.530619,0.625,0.59375,0.562184,0.482955,0.53125,0.625,0.528409,0.590278,0.496843,0.59375,0.5,0.5625,0.59375,0.593434,0.654356,0.559659,0.562184,0.5625,0.71875,0.65625,0.5625,0.59375,0.717487,0.557449,0.843119,0.624053,0.623422,0.59375,0.5625,0.530619,0.53125,0.625,0.593434,0.53125,0.5625,0.562184,0.53125,0.529672,0.59375,0.530619,0.561869,0.593434,0.561237,0.561553,0.623737,0.5625,0.5625,0.560922,0.592172,0.624684,0.71875,0.592803,0.5625,0.562184,0.593119,0.559975,0.59375,0.59375,0.561553,0.655619,0.5625,0.623106,0.53125,0.530934,0.562184,0.5625,0.560606,0.59375,0.5625,0.562184,0.530934,0.5625,0.624053,0.59375,0.59375,0.5625,0.53125,0.59375,0.5625,0.65625,0.5625,0.53125,0.593434,0.5625,0.59375,0.561237,0.562184,0.527146,0.592487]
average_cost
0
kappa
0.15782828282828282
kb_relative_information_score
263.08867479656794
mean_absolute_error
0.0166749999999997
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
0.16625
prior_entropy
6.6438561897747395
recall
0.16625 [0.125,0.0625,0.125,0.25,0.125,0.1875,0.25,0.0625,0.1875,0.3125,0.0625,0.25,0.1875,0.125,0.25,0.0625,0.25,0.0625,0.1875,0,0.1875,0,0.125,0.1875,0.1875,0.3125,0.125,0.125,0.125,0.4375,0.3125,0.125,0.1875,0.4375,0.125,0.6875,0.25,0.25,0.1875,0.125,0.0625,0.0625,0.25,0.1875,0.0625,0.125,0.125,0.0625,0.0625,0.1875,0.0625,0.125,0.1875,0.125,0.125,0.25,0.125,0.125,0.125,0.1875,0.25,0.4375,0.1875,0.125,0.125,0.1875,0.125,0.1875,0.1875,0.125,0.3125,0.125,0.25,0.0625,0.0625,0.125,0.125,0.125,0.1875,0.125,0.125,0.0625,0.125,0.25,0.1875,0.1875,0.125,0.0625,0.1875,0.125,0.3125,0.125,0.0625,0.1875,0.125,0.1875,0.125,0.125,0.0625,0.1875]
relative_absolute_error
0.8421717171717005
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.1291317157014484
root_relative_squared_error
1.2978225742925726
total_cost
0
area_under_roc_curve
0.5723071411511822 [0.5,0.5,0.5,0.625786,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,1,0.5,1,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496835,0.5,0.996855,0.996855,0.993711,1,0.75,1,0.5,0.5,0.5,0.5,0.5,1,1,0.5,0.5,0.5,0.5,1,0.5,0.496855,0.493711,0.5,1,0.5,0.5,1,1,0.5,0.5,0.5,0.5,0.5,1,1,0.496855,0.5,1,0.5,0.5,0.496855,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,1,0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.990566]
area_under_roc_curve
0.5817212005413581 [0.496855,0.5,0.5,0.616352,0.5,1,0.5,1,0.5,1,0.5,0.5,0.75,0.5,0.5,1,0.5,0.5,0.5,0.490566,1,0.5,1,1,1,0.746835,0.5,0.5,0.5,1,0.75,0.5,0.5,0.75,0.5,0.496855,0.496855,0.496855,0.5,0.5,0.493711,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.5,1,1,0.5,0.5,1,0.5,0.496835,1,1,0.5,0.75,1,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.60058912506966 [0.5,0.5,0.5,0.660377,0.5,0.5,1,0.5,0.5,1,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.496835,0.5,0.5,0.5,1,0.996855,0.746835,0.5,0.996855,0.5,0.75,1,0.5,0.5,0.5,0.487421,1,0.996855,1,1,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.5,0.5,0.75,0.5,0.996855,0.996855,0.5,1,0.75,1,0.5,0.490566,0.5,1,1,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.75,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.5,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,1,0.5,0.5,0.993711,0.5]
area_under_roc_curve
0.5848658546294084 [0.5,0.5,0.5,0.641509,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.493711,0.5,1,0.5,0.5,1,1,0.496835,0.5,0.5,0.5,1,0.5,0.5,0.5,0.75,0.990566,0.5,0.5,0.496855,1,0.5,0.5,0.5,1,1,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,1,0.5,0.993711,0.746835,0.5,0.5,0.993711,0.5,0.996855,1,0.5,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.996855,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,1,0.5,1,0.5,0.5,0.5,1,0.5,0.5,0.487421,0.5]
area_under_roc_curve
0.5565639678369555 [0.5,0.5,0.5,0.5,1,0.5,1,0.5,1,0.5,0.5,0.5,0.5,0.5,0.613208,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.5,0.746835,0.5,1,0.5,0.5,1,0.5,0.5,0.496835,0.996855,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.75,0.496855,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.75,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.5,0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.487421,0.5]
area_under_roc_curve
0.600569222195685 [0.5,1,0.5,0.5,1,0.5,1,0.5,1,0.5,0.5,0.5,0.5,0.5,0.679245,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.5,0.496835,0.5,0.5,1,0.75,1,1,0.5,0.746835,0.474843,0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.75,1,1,0.5,1,0.5,0.5,1,0.5,0.5,0.996855,0.5,0.75,0.996855,1,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.496835,0.5,1,1,1,0.5,0.5,1,0.5,1,1,0.5,1,0.5,0.496855,0.490566,0.5]
area_under_roc_curve
0.5691823899371069 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,1,0.5,1,0.606918,0.5,1,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,1,1,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.496855,0.5,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.996855,0.5,0.5,0.996855,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,1,0.5,0.75,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.996855,1,0.5,0.5,1,0.5,0.5]
area_under_roc_curve
0.6037735849056605 [0.5,0.496855,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.75,0.5,1,0.5,0.996855,0.685535,0.5,1,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.75,0.75,1,1,1,0.5,1,0.75,0.75,0.5,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.990566,0.5,0.496855,0.5,0.5,0.987421,0.5,0.75,0.5,0.5,0.5,0.493711,0.5,0.75,1,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.496855,0.5,0.5,1,0.5,0.996855,1,0.487421,1,1,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,1,0.5,1,0.5,0.5,1,1,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5785765464533079 [0.996855,0.5,1,0.5,0.5,0.638365,0.5,0.5,0.5,1,0.496855,1,0.5,0.5,0.5,0.5,1,0.493711,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.75,1,0.5,0.5,0.5,0.996855,0.5,0.75,0.75,0.496835,0.5,0.5,0.5,0.5,0.75,0.75,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.996855,0.496835,1,0.5,0.996855,1,0.5,0.5,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.5,1,0.5,0.996855,0.75,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.996855]
area_under_roc_curve
0.5566037735849055 [1,0.5,0.5,0.5,0.5,0.619497,0.5,0.5,0.5,0.5,0.996855,1,0.5,0.5,0.5,0.5,1,0.493711,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.996855,0.493711,0.5,0.5,0.5,0.5,0.5,1,1,0.5,0.75,0.5,0.75,0.5,0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.996855,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.996855,0.5,0.5,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.996855,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,1]
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
0.14448594456457636
kappa
0.16319307904050334
kappa
0.20094376720408963
kappa
0.16961547534795943
kappa
0.11292859389745202
kappa
0.2010066058508965
kappa
0.13816151608083668
kappa
0.20726672171758878
kappa
0.15696759987417427
kappa
0.11310296025474702
kb_relative_information_score
23.703193232633296
kb_relative_information_score
26.709740440736958
kb_relative_information_score
32.72283485694432
kb_relative_information_score
27.71192284343819
kb_relative_information_score
18.69228121912718
kb_relative_information_score
32.72283485694432
kb_relative_information_score
22.70101082993207
kb_relative_information_score
33.72501725964555
kb_relative_information_score
25.707558038035742
kb_relative_information_score
18.692281219127167
mean_absolute_error
0.01700000000000001
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.01587500000000001
mean_absolute_error
0.01650000000000001
mean_absolute_error
0.017625000000000012
mean_absolute_error
0.01587500000000001
mean_absolute_error
0.017125000000000012
mean_absolute_error
0.01575000000000001
mean_absolute_error
0.01675000000000001
mean_absolute_error
0.017625000000000012
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
0.15
predictive_accuracy
0.16875
predictive_accuracy
0.20625
predictive_accuracy
0.175
predictive_accuracy
0.11875
predictive_accuracy
0.20625
predictive_accuracy
0.14375
predictive_accuracy
0.2125
predictive_accuracy
0.1625
predictive_accuracy
0.11875
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
0.15 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0.5,0,0,0,0,0,0,0,0,0,1,1,1,1,0.5,1,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,1,0,0,1,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1]
recall
0.16875 [0,0,0,1,0,1,0,1,0,1,0,0,0.5,0,0,1,0,0,0,0,1,0,1,1,1,0.5,0,0,0,1,0.5,0,0,0.5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,1,1,0,0.5,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0]
recall
0.20625 [0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,1,1,0.5,0,1,0,0.5,1,0,0,0,0,1,1,1,1,0,0,0,1,0,0,1,0,0,0,0.5,0,1,1,0,1,0.5,1,0,0,0,1,1,0,0,0,0.5,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0]
recall
0.175 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0.5,1,0,0,0,1,0,0,0,1,1,0,1,0,0,0,0,0,0,1,0,1,0.5,0,0,1,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0]
recall
0.11875 [0,0,0,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0.5,0,1,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0,0,0,0.5,0,1,0,0,0,0,0,0,1,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]
recall
0.20625 [0,1,0,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0.5,1,1,0,0.5,0,0.5,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,1,1,0,1,0,0,1,0,0,1,0,0.5,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,1,0,1,1,0,1,0,0,0,0]
recall
0.14375 [0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0.5,0,0,0,0,1,0,0,0,0,0,0.5,0.5,0,0,0,0,0,1,0,0,1,1,0,0,1,0,0]
recall
0.2125 [0,0,1,0,0,0,0,0,1,0.5,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0.5,0.5,1,1,1,0,1,0.5,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0.5,0,0,0,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0]
recall
0.1625 [1,0,1,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,1,0,0.5,0.5,0,0,0,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,0,0,0,1,0,1,0.5,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1]
recall
0.11875 [1,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0.5,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1]
relative_absolute_error
0.8585858585858577
relative_absolute_error
0.839646464646464
relative_absolute_error
0.801767676767676
relative_absolute_error
0.8333333333333325
relative_absolute_error
0.8901515151515142
relative_absolute_error
0.801767676767676
relative_absolute_error
0.8648989898989891
relative_absolute_error
0.7954545454545446
relative_absolute_error
0.8459595959595951
relative_absolute_error
0.8901515151515142
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
0.13038404810405302
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.12599603168354157
root_mean_squared_error
0.12845232578665133
root_mean_squared_error
0.1327591804735176
root_mean_squared_error
0.12599603168354157
root_mean_squared_error
0.13086252328302406
root_mean_squared_error
0.12549900398011138
root_mean_squared_error
0.12942179105544788
root_mean_squared_error
0.1327591804735176
root_relative_squared_error
1.3104089885114936
root_relative_squared_error
1.2958753525292965
root_relative_squared_error
1.26630776414557
root_relative_squared_error
1.2909944487358052
root_relative_squared_error
1.3342799669870749
root_relative_squared_error
1.26630776414557
root_relative_squared_error
1.3152178449967817
root_relative_squared_error
1.2613124477737823
root_relative_squared_error
1.300737941293015
root_relative_squared_error
1.3342799669870749
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
705.9019679999778
usercpu_time_millis
708.5850599999617
usercpu_time_millis
711.9811849999564
usercpu_time_millis
716.0521689999655
usercpu_time_millis
725.599470000077
usercpu_time_millis
715.5641829999695
usercpu_time_millis
715.1385729999902
usercpu_time_millis
707.688811999958
usercpu_time_millis
711.310793999985
usercpu_time_millis
707.6642229999948
usercpu_time_millis_testing
51.659841999992295
usercpu_time_millis_testing
51.49370599997383
usercpu_time_millis_testing
51.685509999970236
usercpu_time_millis_testing
52.52942900000335
usercpu_time_millis_testing
51.932526000030066
usercpu_time_millis_testing
51.581979999980376
usercpu_time_millis_testing
53.35767100001476
usercpu_time_millis_testing
52.185593999979574
usercpu_time_millis_testing
52.52919899999142
usercpu_time_millis_testing
52.40493799999513
usercpu_time_millis_training
654.2421259999855
usercpu_time_millis_training
657.0913539999879
usercpu_time_millis_training
660.2956749999862
usercpu_time_millis_training
663.5227399999621
usercpu_time_millis_training
673.6669440000469
usercpu_time_millis_training
663.9822029999891
usercpu_time_millis_training
661.7809019999754
usercpu_time_millis_training
655.5032179999785
usercpu_time_millis_training
658.7815949999936
usercpu_time_millis_training
655.2592849999996