6147475
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)
4180814
axis
0
6947
categorical_features
[]
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copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
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
8.75172998910697
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.41614313697320715
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.00029604093740353524
6953
kernel
"sigmoid"
6953
max_iter
-1
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probability
true
6953
random_state
23584
6953
shrinking
false
6953
tol
0.03966730897923174
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
13225799
description
https://api.openml.org/data/download/13225799/description.xml
-1
13225800
predictions
https://api.openml.org/data/download/13225800/predictions.arff
area_under_roc_curve
0.3807520517676767 [0.475931,0.328638,0.353614,0.326744,0.330966,0.316604,0.3314,0.331439,0.316525,0.301728,0.352233,0.373067,0.368095,0.45056,0.395636,0.477865,0.342764,0.3561,0.376736,0.439394,0.359178,0.41639,0.45131,0.35539,0.373382,0.363281,0.435843,0.41059,0.476128,0.381037,0.370305,0.367464,0.390586,0.335819,0.440301,0.330216,0.36916,0.383602,0.351957,0.341935,0.491556,0.447798,0.327494,0.37575,0.335306,0.42661,0.305713,0.36703,0.432686,0.420533,0.44401,0.351286,0.40333,0.389165,0.382734,0.36194,0.326231,0.383483,0.348169,0.406763,0.346117,0.377525,0.33286,0.427794,0.389205,0.436987,0.393979,0.33136,0.352194,0.449929,0.475655,0.329348,0.427241,0.437539,0.393624,0.402462,0.425623,0.48398,0.433396,0.364623,0.37429,0.315183,0.408617,0.317511,0.420533,0.387034,0.332347,0.374645,0.397609,0.382418,0.364583,0.328559,0.333254,0.38806,0.347932,0.360638,0.356297,0.340672,0.396228,0.359848]
average_cost
0
kappa
0.002525252525252526
kb_relative_information_score
11.83568611332385
mean_absolute_error
0.019796507232617878
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
0.0125
prior_entropy
6.6438561897747395
recall
0.0125 [0.75,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9998235976069617
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09948322847364773
root_relative_squared_error
0.9998440660008786
total_cost
0
area_under_roc_curve
0.04901431016638805 [0.220126,0.031646,0.003165,0,0,0,0.009494,0.006289,0.006329,0,0.031646,0.03481,0.06962,0.091772,0.015823,0.220126,0.053797,0.060127,0.110759,0.119497,0.09434,0.018868,0.09434,0.012579,0,0.025316,0.120253,0.041139,0.003165,0.012579,0.06962,0,0.110759,0.022152,0.041139,0.012579,0.031447,0.08805,0,0.003165,0.062893,0.018868,0,0.015823,0,0.170886,0.006289,0.025157,0.015823,0.050633,0.082278,0.018987,0.025157,0.123418,0.025157,0.018868,0,0,0.012579,0.075949,0.006289,0.031447,0.006329,0.009494,0.012579,0.022152,0.123418,0,0.006289,0.358491,0.151899,0,0.072785,0.050633,0,0.009494,0.006329,0.167722,0.006329,0.031646,0.101266,0.012658,0.012579,0.031447,0.126582,0.031646,0.009494,0.006329,0.136076,0.113208,0.053797,0.006289,0.003165,0.117089,0.015823,0.018987,0.169811,0.047468,0.113924,0.044025]
area_under_roc_curve
0.046919283894594405 [0.213836,0.003165,0.003165,0,0,0,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.262658,0.003165,0.150943,0.053797,0.044304,0.053797,0.125786,0.044025,0.08805,0.169811,0.012579,0.031447,0.056962,0.151899,0.003165,0.025316,0,0.031646,0,0.085443,0.006329,0.025316,0.012579,0.037736,0.100629,0.012579,0,0.075472,0.006289,0,0.044304,0,0.120253,0,0.012579,0.009494,0.025316,0.056962,0.044304,0.012579,0.056962,0.018868,0,0,0,0.044025,0.10443,0.006289,0.125786,0.012658,0.031646,0,0.031646,0.136076,0,0.194969,0.081761,0.142405,0,0.075949,0.053797,0.012579,0.015823,0.025316,0.170886,0.006329,0,0.053797,0.025316,0.006289,0.044025,0.101266,0.015823,0.003165,0.009494,0.047468,0.044025,0.03481,0,0.012658,0.18038,0.015823,0.031646,0.125786,0.037975,0.183544,0.069182]
area_under_roc_curve
0.042061241143221115 [0.110759,0.012658,0,0,0.003165,0.009494,0.044025,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.028481,0.06962,0.129747,0.012658,0.110759,0.056604,0.047468,0.119497,0.056604,0.231013,0.012579,0.044025,0.041139,0.136076,0.050314,0.006329,0.022152,0.081761,0,0.113924,0.012658,0.044025,0,0.050314,0.144654,0.006289,0.006329,0.132911,0.025157,0,0.006289,0.006329,0.194969,0,0.069182,0.022152,0.009494,0.044304,0,0.012579,0.006329,0.006289,0.028481,0,0.003165,0.075472,0.053797,0.006289,0.062893,0.003165,0.062893,0.006329,0.037975,0.126582,0,0.012579,0.06962,0.075949,0.006329,0.012579,0.025316,0.050314,0.009494,0.012658,0.037975,0.031646,0.044304,0.018868,0.025316,0.009494,0.031646,0.09434,0.037736,0,0.022152,0.091772,0.075472,0.082278,0,0,0.075949,0.044304,0.062893,0.050633,0.022152,0.081761,0.063291]
area_under_roc_curve
0.0456629149749224 [0.199367,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.094937,0.022152,0.120253,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.060127,0.006289,0.025157,0.047468,0.183544,0.025157,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.025157,0,0.044025,0.119497,0.006289,0,0.056962,0,0,0.006289,0.003165,0.138365,0.006329,0.025157,0.003165,0.006329,0.031646,0.006289,0.018868,0.164557,0.018868,0.075949,0,0.003165,0.044025,0.044304,0.018868,0.037736,0.009494,0.018868,0.009494,0.022152,0.101266,0.015823,0,0.170886,0.155063,0.006329,0.138365,0.044304,0.050314,0.009494,0.003165,0.14557,0,0.050633,0.08805,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.044304,0.041139,0.081761,0.110759,0,0.018868,0.075949,0.018987,0.069182,0.126582,0.025316,0.308176,0.012658]
area_under_roc_curve
0.04529098001751456 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.015823,0.062893,0.232704,0.025157,0.196203,0.018987,0.063291,0.069182,0.136076,0.025316,0.072785,0,0.006329,0.085443,0.041139,0.174051,0,0.018868,0.025316,0.044025,0,0.164557,0.018987,0.056604,0,0.072785,0.098101,0,0,0.088608,0.003165,0,0.025157,0,0.264151,0,0.018987,0,0.009494,0.025157,0.025157,0.006329,0.025157,0.009494,0.015823,0,0.022152,0.028481,0.031447,0,0.060127,0.012579,0,0.006329,0.015823,0.119497,0,0.044304,0.072785,0.10443,0,0.044025,0.018868,0.151899,0.018868,0.022152,0.10443,0.015823,0.056604,0.037736,0.012658,0.003165,0.037975,0.169811,0.037736,0.018868,0.031447,0.031646,0.056962,0.132075,0.009494,0,0.09434,0.06962,0.050314,0.044304,0,0.232704,0.123418]
area_under_roc_curve
0.047879348777963564 [0.256329,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.062893,0.037736,0.031447,0.186709,0.031646,0.098101,0.08805,0.148734,0.031646,0.088608,0.009494,0.003165,0.066456,0.047468,0.189873,0.069182,0.006289,0.018987,0.037736,0,0.091772,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.085443,0.012658,0,0.025157,0.006289,0.138365,0,0.056962,0.018987,0.012658,0.031447,0.006289,0.047468,0.056604,0.053797,0.047468,0,0.003165,0.031646,0.018868,0.018987,0.082278,0.012579,0.006289,0,0.053797,0.138365,0,0.015823,0.06962,0.123418,0.006329,0.08805,0.050314,0.056962,0.044025,0.012658,0.227848,0.003165,0.069182,0.044025,0,0,0.041139,0.132075,0.012579,0,0.018868,0.056962,0.056962,0.050314,0.006329,0.006289,0.044025,0.03481,0.018868,0.129747,0.012579,0.207547,0.117089]
area_under_roc_curve
0.04702999363108034 [0.094937,0.031447,0,0,0,0.003165,0.006329,0.028481,0.006289,0,0.006289,0.006289,0.056962,0.012579,0,0.234177,0.044025,0.106918,0.044304,0.142405,0.022152,0.025316,0.028481,0.018987,0.022152,0.144654,0.075472,0.10443,0,0,0.088608,0.006289,0.113208,0.031447,0.022152,0,0.041139,0.075949,0.003165,0,0.170886,0.009494,0,0.012658,0.075472,0.079114,0.009494,0.079114,0.018868,0.012579,0.100629,0.012658,0.041139,0.132075,0.056962,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.136076,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.044304,0.125786,0,0.075949,0.081761,0.044304,0.006289,0,0.264151,0.025157,0.025157,0.136076,0.018868,0.009494,0.015823,0.060127,0.012658,0,0.062893,0.050314,0.075949,0.037736,0,0.012658,0.138365,0.044025,0.018987,0.132911,0.050314,0.155063,0.06962]
area_under_roc_curve
0.0443826626064804 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.015823,0.018868,0,0.050314,0,0.047468,0.006289,0.056604,0.155063,0.025157,0.144654,0.06962,0.079114,0.028481,0.028481,0.136076,0.012658,0.025316,0.037736,0.132075,0.028481,0.144654,0.006329,0.066456,0,0.08805,0.012579,0.022152,0,0.056962,0.094937,0.003165,0,0.142405,0.003165,0,0.028481,0.031447,0.14557,0,0.047468,0.012579,0.050314,0.301887,0.041139,0.063291,0.081761,0.018987,0.047468,0,0,0.044304,0.050314,0.003165,0.120253,0.012579,0.006329,0.003165,0.069182,0.176101,0,0.037975,0.022152,0.119497,0,0.085443,0.018868,0.047468,0.018868,0,0.031447,0,0.031447,0.072785,0.018868,0.012658,0.022152,0.06962,0.03481,0,0.044025,0.062893,0.079114,0.031447,0,0.003165,0.031447,0.025157,0.028481,0.072785,0.037736,0.14557,0.148734]
area_under_roc_curve
0.04236675025873738 [0.075472,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.015823,0.056962,0.018987,0.176101,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.08805,0.015823,0.047468,0.018868,0.132075,0.012658,0,0.012579,0.063291,0,0.075472,0.012579,0.012658,0,0.047468,0.041139,0.006329,0,0.188679,0,0,0.028481,0.012658,0.237342,0,0.031646,0.025157,0.018868,0.082278,0.009494,0.012658,0.132911,0.050633,0.125786,0,0.044025,0.012658,0.025316,0.009494,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.132075,0.050314,0.006289,0.158228,0.022152,0.03481,0.047468,0,0.100629,0.018868,0.047468,0.10443,0.037736,0.006289,0.018868,0.028481,0.009494,0,0.028481,0.069182,0.088608,0.072785,0.006329,0.006329,0.088608,0.025157,0.088608,0.106918,0.006329,0.151899,0.09434]
area_under_roc_curve
0.04138130921105009 [0.18239,0.053797,0,0,0,0,0.006329,0,0.015823,0,0.025157,0.006289,0.031646,0.03481,0.022152,0.232704,0.031447,0.025157,0.06962,0.132075,0.06962,0.066456,0.006289,0.015823,0.050633,0.012579,0.132075,0.072785,0.015823,0.044025,0.031646,0,0.138365,0,0.03481,0.006329,0.03481,0.047468,0,0,0.031447,0.006329,0,0.012658,0.012658,0.041139,0,0.041139,0.018868,0.012579,0.047468,0.009494,0.031646,0.088608,0.012658,0.037736,0,0.006289,0.03481,0.056962,0.012658,0.050633,0.015823,0.009494,0.018868,0.018868,0.129747,0,0,0.044025,0.157233,0,0.044304,0.041139,0.126582,0.03481,0,0.188679,0.006289,0.025316,0.063291,0.025157,0.050314,0.006289,0.056962,0.006329,0.003165,0.044304,0.018868,0.110759,0.091772,0,0.006329,0.129747,0.018868,0.044304,0.169811,0.044304,0.202532,0.081761]
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
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
1.1374964547472388
kb_relative_information_score
1.1374858685924665
kb_relative_information_score
1.2136226703535866
kb_relative_information_score
1.2138884477205385
kb_relative_information_score
1.250969716800906
kb_relative_information_score
1.2511869206392001
kb_relative_information_score
1.17684220560713
kb_relative_information_score
1.1769960545257045
kb_relative_information_score
1.1385501345406808
kb_relative_information_score
1.1386476397963832
mean_absolute_error
0.019796644054990677
mean_absolute_error
0.019796642721519594
mean_absolute_error
0.019796413839696426
mean_absolute_error
0.019796412523153457
mean_absolute_error
0.01979630441329213
mean_absolute_error
0.01979630290829936
mean_absolute_error
0.019796532701471078
mean_absolute_error
0.01979653136157126
mean_absolute_error
0.019796643720102904
mean_absolute_error
0.0197966440820821
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
0.0125
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
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
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
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9998305078278104
relative_absolute_error
0.9998304404807858
relative_absolute_error
0.9998188807927471
relative_absolute_error
0.999818814300678
relative_absolute_error
0.9998133542066715
relative_absolute_error
0.9998132781969358
relative_absolute_error
0.9998248839126789
relative_absolute_error
0.9998248162409712
relative_absolute_error
0.9998304909142864
relative_absolute_error
0.999830509196064
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
0.09948378983684257
root_mean_squared_error
0.09948378301728401
root_mean_squared_error
0.09948286325838306
root_mean_squared_error
0.09948285661529735
root_mean_squared_error
0.09948239918901328
root_mean_squared_error
0.09948239157007509
root_mean_squared_error
0.09948332865997442
root_mean_squared_error
0.0994833218372719
root_mean_squared_error
0.0994837744188896
root_mean_squared_error
0.099483776318874
root_relative_squared_error
0.999849707913268
root_relative_squared_error
0.9998496393741257
root_relative_squared_error
0.9998403954493618
root_relative_squared_error
0.9998403286838383
root_relative_squared_error
0.9998357313767064
root_relative_squared_error
0.9998356548034966
root_relative_squared_error
0.9998450729113477
root_relative_squared_error
0.9998450043406076
root_relative_squared_error
0.9998495529570103
root_relative_squared_error
0.9998495720525721
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
2757.4585279999155
usercpu_time_millis
2584.389277999435
usercpu_time_millis
2590.9864639997977
usercpu_time_millis
2568.1466400001227
usercpu_time_millis
2603.8062430016
usercpu_time_millis
2718.8525529982144
usercpu_time_millis
2662.7469180020853
usercpu_time_millis
2638.1473659985204
usercpu_time_millis
2594.1677509999863
usercpu_time_millis
2592.1679780003615
usercpu_time_millis_testing
148.04808799999591
usercpu_time_millis_testing
148.4032259995729
usercpu_time_millis_testing
146.28061000075832
usercpu_time_millis_testing
147.59416500055522
usercpu_time_millis_testing
152.47457400073472
usercpu_time_millis_testing
159.44415199919604
usercpu_time_millis_testing
152.31978700103355
usercpu_time_millis_testing
148.89486599895463
usercpu_time_millis_testing
148.6059760009084
usercpu_time_millis_testing
146.84317499995814
usercpu_time_millis_training
2609.4104399999196
usercpu_time_millis_training
2435.986051999862
usercpu_time_millis_training
2444.7058539990394
usercpu_time_millis_training
2420.5524749995675
usercpu_time_millis_training
2451.331669000865
usercpu_time_millis_training
2559.4084009990183
usercpu_time_millis_training
2510.4271310010517
usercpu_time_millis_training
2489.2524999995658
usercpu_time_millis_training
2445.561774999078
usercpu_time_millis_training
2445.3248030004033