6131969
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)
4165308
axis
0
6947
categorical_features
[]
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copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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
0.18280663607673783
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
0.0045556475534900345
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
17020
6953
shrinking
false
6953
tol
0.025024579762102726
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
13194874
description
https://api.openml.org/data/download/13194874/description.xml
-1
13194875
predictions
https://api.openml.org/data/download/13194875/predictions.arff
area_under_roc_curve
0.4624368686868688 [0.466264,0.412011,0.436474,0.426294,0.42657,0.454388,0.333846,0.416114,0.406368,0.401121,0.480705,0.479009,0.48331,0.492385,0.480705,0.509233,0.45928,0.471433,0.446141,0.498501,0.484612,0.485598,0.492464,0.478259,0.484414,0.441525,0.472064,0.446062,0.479364,0.478969,0.446891,0.476168,0.497317,0.478535,0.481021,0.476286,0.485598,0.492109,0.476484,0.476089,0.49199,0.477431,0.426057,0.437184,0.429609,0.480784,0.451231,0.484454,0.479127,0.480193,0.490885,0.439552,0.464134,0.431503,0.428662,0.485361,0.475852,0.478022,0.482876,0.485795,0.477746,0.493016,0.478022,0.431187,0.432647,0.482836,0.502289,0.476365,0.483704,0.496528,0.499211,0.476405,0.492109,0.44989,0.489268,0.480193,0.478101,0.503591,0.478417,0.48327,0.45277,0.455848,0.457544,0.457268,0.454348,0.433712,0.427004,0.442827,0.488873,0.491319,0.447364,0.426847,0.4302,0.460859,0.462634,0.440183,0.437579,0.344302,0.463187,0.37354]
average_cost
0
kappa
0.002525252525252526
kb_relative_information_score
62.88709395283428
mean_absolute_error
0.01977840784719665
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
0.9989094872321522
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09946490812099798
root_relative_squared_error
0.9996599395288598
total_cost
0
area_under_roc_curve
0.04936858132314309 [0.226415,0.031646,0,0,0,0,0.009494,0.006289,0.006329,0,0.031646,0.03481,0.06962,0.101266,0.015823,0.213836,0.060127,0.060127,0.107595,0.125786,0.09434,0.012579,0.119497,0.018868,0,0.025316,0.120253,0.03481,0.006329,0.012579,0.06962,0,0.110759,0.022152,0.047468,0.012579,0.031447,0.08805,0,0.003165,0.037736,0.018868,0,0.018987,0,0.177215,0.006289,0.018868,0.015823,0.053797,0.085443,0.018987,0.025157,0.120253,0.025157,0.025157,0,0,0.012579,0.072785,0.012579,0.031447,0.006329,0.009494,0.012579,0.022152,0.117089,0,0.006289,0.389937,0.142405,0,0.06962,0.050633,0,0.009494,0.006329,0.164557,0.009494,0.031646,0.088608,0.012658,0.012579,0.031447,0.126582,0.031646,0.009494,0.006329,0.142405,0.113208,0.053797,0.006289,0.003165,0.120253,0.015823,0.018987,0.169811,0.047468,0.120253,0.044025]
area_under_roc_curve
0.04664139001671843 [0.220126,0.003165,0.003165,0,0,0,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.224684,0.003165,0.150943,0.060127,0.044304,0.053797,0.132075,0.044025,0.09434,0.169811,0.012579,0.031447,0.056962,0.151899,0.003165,0.025316,0,0.031646,0,0.082278,0.006329,0.025316,0.012579,0.037736,0.100629,0.012579,0,0.050314,0.006289,0,0.044304,0,0.129747,0,0.012579,0.012658,0.025316,0.056962,0.044304,0.012579,0.060127,0.018868,0,0,0,0.044025,0.101266,0.006289,0.119497,0.012658,0.031646,0,0.031646,0.136076,0,0.207547,0.100629,0.129747,0,0.06962,0.053797,0.012579,0.015823,0.028481,0.170886,0.006329,0,0.050633,0.025316,0.006289,0.044025,0.101266,0.015823,0.003165,0.009494,0.050633,0.050314,0.03481,0,0.012658,0.177215,0.018987,0.03481,0.125786,0.037975,0.183544,0.069182]
area_under_roc_curve
0.04186246118939578 [0.10443,0.015823,0,0,0.003165,0.009494,0.037736,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.022152,0.060127,0.117089,0.012658,0.110759,0.056604,0.041139,0.113208,0.100629,0.237342,0.012579,0.044025,0.041139,0.139241,0.050314,0.012658,0.022152,0.081761,0,0.113924,0.012658,0.031447,0,0.050314,0.144654,0,0.009494,0.107595,0.025157,0,0.006289,0.006329,0.201258,0,0.069182,0.028481,0.009494,0.047468,0,0.012579,0.009494,0.006289,0.028481,0,0.006329,0.069182,0.037975,0.006289,0.062893,0.003165,0.069182,0.009494,0.041139,0.132911,0,0.012579,0.079114,0.066456,0.006329,0.018868,0.025316,0.050314,0.009494,0.012658,0.037975,0.031646,0.044304,0.018868,0.025316,0.012658,0.031646,0.09434,0.037736,0,0.025316,0.088608,0.075472,0.082278,0,0,0.075949,0.044304,0.062893,0.050633,0.022152,0.081761,0.063291]
area_under_roc_curve
0.045070804474166094 [0.202532,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.075949,0.022152,0.110759,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.050633,0.006289,0.025157,0.047468,0.183544,0.025157,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.012579,0,0.044025,0.119497,0.006289,0,0.047468,0,0,0.006289,0.003165,0.144654,0.006329,0.018868,0,0.006329,0.031646,0.006289,0.037736,0.158228,0.012579,0.072785,0,0.003165,0.044025,0.053797,0.012579,0.031447,0.009494,0.018868,0.009494,0.025316,0.101266,0.015823,0,0.174051,0.161392,0.006329,0.138365,0.041139,0.050314,0.009494,0.006329,0.14557,0,0.053797,0.069182,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.044304,0.041139,0.081761,0.110759,0,0.018868,0.075949,0.018987,0.069182,0.126582,0.025316,0.308176,0.012658]
area_under_roc_curve
0.04513175702571454 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.012658,0.062893,0.232704,0.031447,0.186709,0.022152,0.06962,0.069182,0.136076,0.028481,0.066456,0,0.006329,0.085443,0.041139,0.177215,0,0.018868,0.025316,0.037736,0,0.161392,0.018987,0.056604,0,0.06962,0.094937,0,0,0.056962,0.003165,0,0.031447,0,0.283019,0,0.018987,0.003165,0.022152,0.031447,0.025157,0.006329,0.031447,0.009494,0.015823,0,0.031646,0.028481,0.031447,0,0.060127,0.012579,0,0.006329,0.015823,0.119497,0,0.044304,0.088608,0.088608,0,0.037736,0.018868,0.151899,0.018868,0.022152,0.101266,0.018987,0.056604,0.025157,0.012658,0.003165,0.037975,0.176101,0.037736,0.018868,0.031447,0.031646,0.056962,0.132075,0.009494,0,0.09434,0.075949,0.050314,0.044304,0,0.232704,0.110759]
area_under_roc_curve
0.04697103136692942 [0.253165,0,0.028481,0,0,0.028481,0.006289,0.009494,0,0.003165,0.022152,0.025316,0.037736,0.044025,0.031447,0.18038,0.041139,0.094937,0.081761,0.148734,0.03481,0.072785,0.009494,0.003165,0.063291,0.047468,0.189873,0.025157,0.006289,0.015823,0.025157,0,0.091772,0.009494,0.018868,0.003165,0.053797,0.082278,0.006329,0,0.060127,0.012658,0,0.031447,0.006289,0.132075,0,0.053797,0.025316,0.015823,0.056604,0.006289,0.056962,0.056604,0.063291,0.047468,0,0.003165,0.031646,0.018868,0.018987,0.082278,0.012579,0.006289,0,0.050633,0.138365,0,0.015823,0.06962,0.120253,0.006329,0.081761,0.056604,0.053797,0.044025,0.012658,0.208861,0.006329,0.069182,0.044025,0,0,0.041139,0.157233,0.012579,0,0.018868,0.056962,0.056962,0.050314,0.006329,0.006289,0.044025,0.03481,0.018868,0.129747,0.012579,0.213836,0.110759]
area_under_roc_curve
0.04525042791179047 [0.098101,0.037736,0,0,0,0.003165,0.006329,0.028481,0.006289,0,0.006289,0,0.053797,0.012579,0,0.231013,0.044025,0.106918,0.044304,0.14557,0.022152,0.025316,0.028481,0.018987,0.022152,0.144654,0.081761,0.091772,0,0,0.088608,0.006289,0.113208,0.031447,0.018987,0,0.044304,0.075949,0.003165,0,0.037975,0.012658,0,0.012658,0.075472,0.098101,0.009494,0.079114,0.012579,0.012579,0.100629,0.012658,0.044304,0.119497,0.063291,0.060127,0,0.006329,0.03481,0.012579,0.012658,0.136076,0.012579,0,0.012658,0.075472,0.132075,0.009494,0.044304,0.044304,0.113208,0,0.075949,0.09434,0.044304,0.006289,0,0.264151,0.031447,0.025157,0.136076,0.018868,0.009494,0.015823,0.056962,0.012658,0,0.050314,0.050314,0.075949,0.037736,0,0.009494,0.138365,0.044025,0.018987,0.132911,0.050314,0.151899,0.063291]
area_under_roc_curve
0.04331586856142029 [0.060127,0.025157,0,0,0,0.006329,0.009494,0.015823,0.018868,0,0.050314,0,0.044304,0.006289,0.050314,0.14557,0.025157,0.150943,0.06962,0.079114,0.028481,0.028481,0.126582,0.012658,0.025316,0.037736,0.132075,0.025316,0.113208,0.006329,0.063291,0,0.09434,0.012579,0.018987,0,0.053797,0.094937,0.003165,0,0.094937,0.003165,0,0.031646,0.031447,0.158228,0,0.044304,0.012579,0.050314,0.301887,0.044304,0.063291,0.075472,0.022152,0.047468,0,0,0.044304,0.056604,0.003165,0.120253,0.012579,0.006329,0.003165,0.069182,0.188679,0,0.044304,0.022152,0.119497,0,0.075949,0.018868,0.050633,0.012579,0,0.018868,0,0.031447,0.063291,0.018868,0.018987,0.022152,0.072785,0.028481,0,0.044025,0.062893,0.075949,0.031447,0,0.003165,0.037736,0.025157,0.028481,0.075949,0.037736,0.14557,0.14557]
area_under_roc_curve
0.04283894594379431 [0.044025,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.006329,0.056962,0.018987,0.138365,0.018868,0.09434,0.063291,0.119497,0.015823,0.015823,0.119497,0.015823,0.047468,0.025157,0.132075,0.012658,0.003165,0.018868,0.053797,0,0.075472,0.012579,0.009494,0,0.047468,0.041139,0.006329,0,0.245283,0,0,0.025316,0.012658,0.259494,0,0.03481,0.025157,0.018868,0.082278,0.009494,0.012658,0.139241,0.050633,0.119497,0,0.056604,0.015823,0.025316,0.009494,0.091772,0.003165,0.009494,0.006289,0.012579,0.14557,0,0.022152,0.125786,0.050314,0.006289,0.158228,0.022152,0.03481,0.047468,0.006289,0.09434,0.018868,0.047468,0.094937,0.037736,0.012579,0.018868,0.028481,0.009494,0,0.028481,0.09434,0.094937,0.072785,0.006329,0.006329,0.085443,0.025157,0.085443,0.09434,0.006329,0.151899,0.100629]
area_under_roc_curve
0.04075212960751534 [0.09434,0.053797,0,0,0,0,0.006329,0,0.015823,0,0.025157,0,0.03481,0.03481,0.022152,0.207547,0.037736,0.025157,0.06962,0.132075,0.072785,0.066456,0.006289,0.015823,0.050633,0.012579,0.132075,0.072785,0.015823,0.044025,0.031646,0,0.138365,0,0.031646,0.006329,0.03481,0.047468,0,0,0.037736,0.006329,0,0.012658,0.012658,0.047468,0,0.041139,0.012579,0.012579,0.047468,0.009494,0.03481,0.085443,0.012658,0.037736,0,0.025157,0.03481,0.053797,0.012658,0.050633,0.015823,0.012658,0.018868,0.018868,0.129747,0,0,0.056604,0.144654,0,0.044304,0.041139,0.126582,0.03481,0.006289,0.176101,0.006289,0.025316,0.056962,0.025157,0.044025,0.006289,0.056962,0.006329,0.003165,0.044304,0.018868,0.107595,0.091772,0,0.006329,0.126582,0.012579,0.044304,0.163522,0.044304,0.202532,0.106918]
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
6.260461599202958
kb_relative_information_score
6.260526498504945
kb_relative_information_score
6.3106267876934945
kb_relative_information_score
6.310940698829682
kb_relative_information_score
6.331379863450402
kb_relative_information_score
6.3316690943303096
kb_relative_information_score
6.282211206250594
kb_relative_information_score
6.282401828580747
kb_relative_information_score
6.258369861246352
kb_relative_information_score
6.258506514744778
mean_absolute_error
0.019778504798161296
mean_absolute_error
0.01977850316914013
mean_absolute_error
0.019778310970960937
mean_absolute_error
0.019778308936581338
mean_absolute_error
0.019778256416266
mean_absolute_error
0.0197782542434237
mean_absolute_error
0.01977844255690244
mean_absolute_error
0.019778440518315784
mean_absolute_error
0.019778528400409386
mean_absolute_error
0.01977852846180562
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
0.9989143837455184
relative_absolute_error
0.998914301471722
relative_absolute_error
0.998904594492975
relative_absolute_error
0.9989044917465306
relative_absolute_error
0.9989018392053518
relative_absolute_error
0.9989017294658419
relative_absolute_error
0.9989112402475964
relative_absolute_error
0.9989111372886742
relative_absolute_error
0.9989155757782501
relative_absolute_error
0.9989155788790701
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
0.0994648383347361
root_mean_squared_error
0.09946482951842166
root_mean_squared_error
0.09946510929184459
root_mean_squared_error
0.0994650994498934
root_mean_squared_error
0.09946502865802755
root_mean_squared_error
0.09946501724508626
root_mean_squared_error
0.09946486756395173
root_mean_squared_error
0.09946485675625268
root_mean_squared_error
0.09946471676675452
root_mean_squared_error
0.09946471762404781
root_relative_squared_error
0.9996592381505384
root_relative_squared_error
0.9996591495432443
root_relative_squared_error
0.9996619613719417
root_relative_squared_error
0.9996618624566106
root_relative_squared_error
0.9996611509715886
root_relative_squared_error
0.9996610362672128
root_relative_squared_error
0.9996595319152085
root_relative_squared_error
0.999659423293746
root_relative_squared_error
0.9996580163463523
root_relative_squared_error
0.9996580249624739
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
2717.422685
usercpu_time_millis
2562.8761590000017
usercpu_time_millis
2949.0359979999994
usercpu_time_millis
2585.618717000003
usercpu_time_millis
2500.6644290000004
usercpu_time_millis
2495.6347789999995
usercpu_time_millis
2489.088931000001
usercpu_time_millis
2487.676626999999
usercpu_time_millis
2491.786278999999
usercpu_time_millis
2488.4872249999967
usercpu_time_millis_testing
138.7082950000007
usercpu_time_millis_testing
178.33717300000097
usercpu_time_millis_testing
152.6184910000019
usercpu_time_millis_testing
137.61824200000206
usercpu_time_millis_testing
137.79028600000132
usercpu_time_millis_testing
137.6182539999995
usercpu_time_millis_testing
137.6979140000003
usercpu_time_millis_testing
137.68052700000055
usercpu_time_millis_testing
138.17549099999837
usercpu_time_millis_testing
138.77825399999466
usercpu_time_millis_training
2578.714389999999
usercpu_time_millis_training
2384.538986000001
usercpu_time_millis_training
2796.4175069999974
usercpu_time_millis_training
2448.0004750000007
usercpu_time_millis_training
2362.874142999999
usercpu_time_millis_training
2358.016525
usercpu_time_millis_training
2351.391017000001
usercpu_time_millis_training
2349.9960999999985
usercpu_time_millis_training
2353.610788000001
usercpu_time_millis_training
2349.708971000002