10416111
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8253854
C
72.78289639377016
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.9865568612658371
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
3.839087709600762e-05
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
65322
16360
shrinking
true
16360
tol
0.003904363647760561
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21754031
description
https://api.openml.org/data/download/21754031/description.xml
-1
21754032
predictions
https://api.openml.org/data/download/21754032/predictions.arff
area_under_roc_curve
0.5780164245104237 [0.5,0.589328,0.530934,0.5625,0.55334,0.588696,0.554604,0.530618,0.5625,0.55713,0.622473,0.560921,0.593118,0.622157,0.588065,0.622789,0.528723,0.580484,0.561868,0.624052,0.614577,0.492735,0.554288,0.553972,0.498421,0.590591,0.591223,0.5,0.593434,0.591855,0.498105,0.621526,0.528091,0.590907,0.5,0.524301,0.615524,0.58996,0.581747,0.530618,0.561552,0.591855,0.529671,0.528407,0.559973,0.617419,0.55334,0.523985,0.614261,0.613629,0.622157,0.609839,0.613313,0.587749,0.606996,0.559657,0.623421,0.586801,0.613945,0.59375,0.624052,0.591855,0.623105,0.530302,0.583958,0.560921,0.623105,0.497789,0.621841,0.529671,0.617419,0.592487,0.593434,0.589012,0.591539,0.592171,0.61963,0.621526,0.591223,0.620578,0.58838,0.558078,0.495894,0.619946,0.560605,0.593434,0.58838,0.556815,0.617104,0.591539,0.5625,0.495578,0.622789,0.624052,0.589328,0.617419,0.589012,0.589328,0.621526,0.591539]
average_cost
0
kappa
0.1560328490208465
kb_relative_information_score
0.16263416484852922
mean_absolute_error
0.016710444027516896
mean_prior_absolute_error
0.019799992711748222
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
predictive_accuracy
0.16447779862414008
prior_entropy
6.643827772868604
recall
0.16447779862414008 [0,0.1875,0.0625,0.125,0.125,0.1875,0.125,0.0625,0.125,0.125,0.25,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.1875,0.125,0.25,0.25,0,0.125,0.125,0,0.1875,0.1875,0,0.1875,0.1875,0,0.25,0.0625,0.1875,0,0.0625,0.25,0.1875,0.1875,0.0625,0.125,0.1875,0.0625,0.0625,0.125,0.25,0.125,0.0625,0.25,0.25,0.25,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.25,0.1875,0.25,0.1875,0.25,0.0625,0.1875,0.125,0.25,0,0.25,0.0625,0.25,0.1875,0.1875,0.1875,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.1875,0.125,0,0.25,0.125,0.1875,0.1875,0.125,0.25,0.1875,0.125,0,0.25,0.25,0.1875,0.25,0.1875,0.1875,0.25,0.1875]
relative_absolute_error
0.8439621302285552
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.1292688826729654
root_relative_squared_error
1.2992014074139637
total_cost
0
area_under_roc_curve
0.5849056603773584 [0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.968553,0.5,0.5,0.984277,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,0.490566,0.5,0.5,0.977987,0.993711,0.5,0.5,0.5,0.990566,0.496855,0.5,0.490566,0.990566,0.5,0.987421,0.5,0.5,0.984277,0.5,0.962264,0.5,0.955975,0.5,0.5,0.971698,0.987421,1,1,0.5,0.993711,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.996855,0.987421,0.984277,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.990566,0.990566,0.5,0.993711]
area_under_roc_curve
0.5754716981132074 [0.5,0.484277,0.496855,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.971698,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.987421,0.990566,0.5,0.5,0.5,0.496855,0.493711,0.5,0.496855,0.977987,0.5,0.487421,0.5,0.5,0.996855,0.5,0.968553,0.5,0.95283,0.5,0.984277,0.974843,0.974843,1,0.993711,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,1,0.971698,0.5,0.5,0.5,0.5,0.496855,0.993711,1,0.5,0.484277,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.5,0.481132,0.984277,0.5,0.493711]
area_under_roc_curve
0.5786163522012576 [0.5,0.987421,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.981132,0.493711,0.5,0.996855,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.477987,0.968553,0.5,0.968553,0.5,0.5,0.996855,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.965409,0.990566,0.5,0.5,0.5,0.943396,0.5,1,0.493711,0.962264,0.5,0.5,0.990566,0.996855,0.996855,0.5,0.5,0.5,0.490566,0.981132,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.990566,0.5,0.5,0.496855,0.5,0.490566,0.5,0.990566,0.5,0.5,0.487421,0.5,0.490566,1,0.5,0.5,1,0.5,0.990566,0.984277,0.5,0.5,0.996855]
area_under_roc_curve
0.5817610062893079 [0.5,0.990566,0.5,0.5,0.5,0.490566,0.5,0.5,1,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.487421,0.490566,0.5,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.462264,0.971698,0.5,0.471698,0.5,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,0.5,0.955975,0.971698,1,0.5,0.5,0.5,0.5,0.5,1,0.990566,0.965409,1,0.5,0.5,0.993711,0.496855,0.5,0.496855,0.5,0.493711,0.993711,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.5,0.965409,0.5,0.493711,0.5,0.996855,0.5,0.5,0.987421,0.5,0.996855,1,0.5,0.5,1,0.493711,0.968553,0.5,0.5,0.5,0.993711]
area_under_roc_curve
0.5691823899371068 [0.5,0.5,0.5,1,0.968553,0.987421,0.496855,0.5,0.5,0.496855,0.5,0.496855,0.496855,0.5,0.477987,0.987421,0.5,0.5,0.5,0.996855,0.5,0.481132,0.5,0.471698,0.5,0.5,0.5,0.5,0.5,0.5,0.490566,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,0.959119,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.968553,0.971698,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.471698,0.496855,0.5,0.5,0.5,0.5,0.974843,0.996855,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.5,0.490566,0.990566,0.5,0.5,0.5,0.484277,0.5,0.993711,0.5,0.5,0.5,0.993711,0.996855,0.984277,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5911949685534591 [0.5,0.5,0.5,0.5,0.965409,0.974843,0.496855,0.5,1,0.993711,0.5,0.990566,0.996855,0.5,0.987421,0.990566,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.974843,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.987421,0.5,0.5,0.5,0.493711,0.5,0.5,0.981132,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.977987,0.5,0.943396,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.968553,1,0.5,0.5,0.5,0.5,0.984277,0.990566,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.496855,0.5,0.987421,0.5,0.5,0.5,0.984277,0.5,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.581761006289308 [0.5,0.5,0.5,0.5,0.493711,0.5,0.962264,0.5,0.5,0.962264,0.5,0.5,1,0.990566,0.987421,1,0.5,0.5,1,0.5,0.5,0.493711,0.487421,0.5,0.5,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.971698,0.5,0.981132,0.5,0.5,0.990566,0.5,0.474843,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.990566,0.996855,0.5,0.5,0.5,0.977987,1,0.5,0.5,0.993711,0.996855,0.984277,0.5,0.5,0.5,0.5,0.496855,0.5,0.987421,0.5,1,0.984277,0.5,0.974843,0.5,0.5,0.487421,0.5,0.5,0.965409,0.5,0.5,0.5,0.993711,0.5]
area_under_roc_curve
0.5628930817610062 [0.5,0.5,0.5,1,0.481132,0.5,0.965409,0.5,0.5,0.493711,0.5,0.5,1,0.993711,0.990566,1,0.484277,0.5,0.5,0.5,0.974843,0.455975,0.955975,0.5,0.5,0.490566,0.5,0.5,1,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.943396,0.5,0.984277,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.5,0.996855,0.5,0.5,0.490566,0.987421,0.5,0.5,0.5,0.996855,0.487421,0.987421,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.5,0.496855,0.493711,0.5,0.987421,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5]
area_under_roc_curve
0.581761006289308 [0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.990566,0.5,0.5,0.5,0.962264,0.5,0.5,0.959119,0.5,0.984277,0.5,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.5,0.496855,0.993711,0.5,0.5,0.5,0.487421,0.5,0.5,1,0.5,0.5,0.487421,0.993711,0.987421,0.968553,0.477987,0.5,0.5,0.5,0.971698,0.971698,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.493711,0.5,0.5,0.5,0.993711,0.996855,0.5,0.971698,0.5,0.5,0.5,1,0.977987,0.5,0.981132,0.5,0.5,0.490566,0.990566,0.5,0.5,0.5,0.5,0.493711,0.987421,0.5]
area_under_roc_curve
0.5886075949367088 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.990506,0.5,0.5,0.996835,0.5,0.5,0.990506,0.46519,0.993671,0.5,0.977848,0.5,0.490506,0.5,0.5,0.990506,0.5,0.5,0.996835,0.996835,0.5,0.5,0.493671,1,0.5,0.5,0.5,0.990506,0.5,0.5,0.493671,0.5,0.5,0.5,0.993671,0.968354,0.471519,0.474684,0.5,0.5,0.5,0.5,0.981013,0.5,0.968354,0.996835,0.5,0.5,0.5,0.5,0.996835,0.5,0.5,0.5,0.5,0.5,0.993671,0.5,0.5,0.993671,0.5,0.5,1,0.5,0.993671,0.5,0.5,0.5,0.987342,0.977848,0.5,0.5,0.5,0.5,0.5,1,0.990506,0.5,0.977848,0.5,0.5,0.484177,1,0.5,0.5,0.5,0.996835,0.987342,0.987342,0.5]
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
0.16981132075471697
kappa
0.1509433962264151
kappa
0.15723270440251572
kappa
0.16352201257861634
kappa
0.1383647798742138
kappa
0.18238993710691823
kappa
0.16352201257861634
kappa
0.12578616352201258
kappa
0.16352201257861634
kappa
0.17721518987341772
kb_relative_information_score
0.17317133596273193
kb_relative_information_score
0.1543834785208678
kb_relative_information_score
0.16064609766815585
kb_relative_information_score
0.1669087168154439
kb_relative_information_score
0.14185824022629168
kb_relative_information_score
0.18571104700700478
kb_relative_information_score
0.16692164366872728
kb_relative_information_score
0.12934283699217242
kb_relative_information_score
0.1669216436687273
kb_relative_information_score
0.1805901568775888
mean_absolute_error
0.01650000000000001
mean_absolute_error
0.01687500000000001
mean_absolute_error
0.01675000000000001
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.017125000000000012
mean_absolute_error
0.01625000000000001
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.017375000000000012
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.016352201257861645
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.01980002942907591
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.019799955856386102
mean_prior_absolute_error
0.01979995631910742
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1]
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1]
number_of_instances
160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2]
number_of_instances
159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2]
predictive_accuracy
0.175
predictive_accuracy
0.15625
predictive_accuracy
0.1625
predictive_accuracy
0.16875
predictive_accuracy
0.14375
predictive_accuracy
0.1875
predictive_accuracy
0.16875
predictive_accuracy
0.13125
predictive_accuracy
0.16875
predictive_accuracy
0.18238993710691823
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.64355737669647
recall
0.175 [0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,1,0,1,0,0,1,0,1,0,1,0,0,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,1]
recall
0.15625 [0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0]
recall
0.1625 [0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,1,0,0,1]
recall
0.16875 [0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,1,1,0,0,1,0,1,0,0,0,1]
recall
0.14375 [0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0]
recall
0.1875 [0,0,0,0,1,1,0,0,1,1,0,1,1,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0]
recall
0.16875 [0,0,0,0,0,0,1,0,0,1,0,0,1,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,1,0,0,0,1,0]
recall
0.13125 [0,0,0,1,0,0,1,0,0,0,0,0,1,1,1,1,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0]
recall
0.16875 [0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,1,0]
recall
0.18238993710691823 [0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,1,1,1,0]
relative_absolute_error
0.8333320947377034
relative_absolute_error
0.8522714605271966
relative_absolute_error
0.8459583385973657
relative_absolute_error
0.8396452166675347
relative_absolute_error
0.8648977043868594
relative_absolute_error
0.8207089004574164
relative_absolute_error
0.8396483366218184
relative_absolute_error
0.8775272089506221
relative_absolute_error
0.8396483366218179
relative_absolute_error
0.8258705723548182
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.0994985414402977
root_mean_squared_error
0.12845232578665133
root_mean_squared_error
0.12990381056766584
root_mean_squared_error
0.12942179105544788
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.13086252328302406
root_mean_squared_error
0.12747548783981966
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.1318142632646407
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.1278757258351312
root_relative_squared_error
1.2909923062957436
root_relative_squared_error
1.305580253018541
root_relative_squared_error
1.300735782683365
root_relative_squared_error
1.2958732019892434
root_relative_squared_error
1.3152156623573417
root_relative_squared_error
1.2811794924189244
root_relative_squared_error
1.295878017195915
root_relative_squared_error
1.3247859158238446
root_relative_squared_error
1.295878017195915
root_relative_squared_error
1.2852020138592757
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
715.3762170000846
usercpu_time_millis
715.9913469995445
usercpu_time_millis
717.7807669995673
usercpu_time_millis
717.5679699994362
usercpu_time_millis
718.1628959997397
usercpu_time_millis
720.3879680000682
usercpu_time_millis
716.5570109991677
usercpu_time_millis
719.0324079992934
usercpu_time_millis
717.5491489997512
usercpu_time_millis
717.5652919995628
usercpu_time_millis_testing
63.60791299994162
usercpu_time_millis_testing
63.65070899937564
usercpu_time_millis_testing
65.00957099979132
usercpu_time_millis_testing
64.81815400002233
usercpu_time_millis_testing
64.5784869993804
usercpu_time_millis_testing
64.78203200003918
usercpu_time_millis_testing
64.74428599995008
usercpu_time_millis_testing
65.40326699996513
usercpu_time_millis_testing
64.9146389996531
usercpu_time_millis_testing
64.63258900021174
usercpu_time_millis_training
651.768304000143
usercpu_time_millis_training
652.3406380001688
usercpu_time_millis_training
652.771195999776
usercpu_time_millis_training
652.7498159994138
usercpu_time_millis_training
653.5844090003593
usercpu_time_millis_training
655.605936000029
usercpu_time_millis_training
651.8127249992176
usercpu_time_millis_training
653.6291409993282
usercpu_time_millis_training
652.6345100000981
usercpu_time_millis_training
652.932702999351
wall_clock_time_millis
715.3525352478027
wall_clock_time_millis
715.9683704376221
wall_clock_time_millis
717.7670001983643
wall_clock_time_millis
717.5450325012207
wall_clock_time_millis
718.1403636932373
wall_clock_time_millis
720.365047454834
wall_clock_time_millis
716.5343761444092
wall_clock_time_millis
719.0096378326416
wall_clock_time_millis
717.592716217041
wall_clock_time_millis
717.5421714782715
wall_clock_time_millis_testing
63.608407974243164
wall_clock_time_millis_testing
63.65084648132324
wall_clock_time_millis_testing
65.01007080078125
wall_clock_time_millis_testing
64.8183822631836
wall_clock_time_millis_testing
64.57901000976562
wall_clock_time_millis_testing
64.78238105773926
wall_clock_time_millis_testing
64.74447250366211
wall_clock_time_millis_testing
65.40346145629883
wall_clock_time_millis_testing
64.91470336914062
wall_clock_time_millis_testing
64.63265419006348
wall_clock_time_millis_training
651.7441272735596
wall_clock_time_millis_training
652.3175239562988
wall_clock_time_millis_training
652.756929397583
wall_clock_time_millis_training
652.7266502380371
wall_clock_time_millis_training
653.5613536834717
wall_clock_time_millis_training
655.5826663970947
wall_clock_time_millis_training
651.7899036407471
wall_clock_time_millis_training
653.6061763763428
wall_clock_time_millis_training
652.6780128479004
wall_clock_time_millis_training
652.909517288208