10414380
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8252124
C
2153.7435858743875
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.9977829756725691
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.3373429905847383
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
38037
16360
shrinking
true
16360
tol
0.003973205278833895
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21750569
description
https://api.openml.org/data/download/21750569/description.xml
-1
21750570
predictions
https://api.openml.org/data/download/21750570/predictions.arff
area_under_roc_curve
0.9159827108737413 [0.932702,0.936552,0.874684,0.904671,0.873737,0.935921,0.90625,0.779987,0.968118,0.936868,0.96875,0.716539,0.936868,0.999684,0.874684,1,0.840907,0.967802,0.968434,0.905618,0.999684,0.778407,0.937184,0.96875,0.715276,0.999684,0.779671,0.748421,0.999368,0.968118,0.968118,1,0.873421,0.936552,0.936868,0.654355,0.934973,0.937184,0.968434,0.874684,1,0.842487,0.747789,0.842171,0.843118,0.967487,0.872473,0.968118,0.843118,0.936868,0.840591,0.968434,0.967802,0.9375,0.873737,0.904039,1,0.840907,0.999368,1,1,0.968434,0.937184,0.936552,0.96875,0.936868,0.96875,0.842171,0.90625,0.874368,0.999368,0.810605,1,0.936868,0.96875,0.96875,0.998737,0.999684,0.937184,0.905302,0.9375,0.811552,0.747789,0.905618,0.936868,0.9375,0.749684,0.905934,0.999684,0.935605,0.905934,0.842802,0.936552,0.96875,0.968118,0.967487,0.905934,0.96875,0.999052,0.999684]
average_cost
0
f_measure
0.8330855621830127 [0.866667,0.848485,0.827586,0.764706,0.75,0.8,0.896552,0.62069,0.909091,0.875,0.967742,0.466667,0.875,0.969697,0.827586,1,0.611111,0.882353,0.9375,0.83871,0.969697,0.529412,0.903226,0.967742,0.411765,0.969697,0.6,0.551724,0.941176,0.909091,0.909091,1,0.727273,0.848485,0.875,0.37037,0.736842,0.903226,0.9375,0.827586,1,0.709677,0.516129,0.6875,0.758621,0.857143,0.666667,0.909091,0.758621,0.875,0.594595,0.9375,0.882353,0.933333,0.75,0.722222,1,0.611111,0.941176,1,1,0.9375,0.903226,0.848485,0.967742,0.875,0.967742,0.6875,0.896552,0.8,0.941176,0.625,1,0.875,0.967742,0.967742,0.888889,0.969697,0.903226,0.8125,0.933333,0.689655,0.516129,0.83871,0.875,0.933333,0.64,0.866667,0.969697,0.777778,0.866667,0.733333,0.848485,0.967742,0.909091,0.857143,0.866667,0.967742,0.914286,0.969697]
kappa
0.8319656199036675
kb_relative_information_score
0.8332870003949568
mean_absolute_error
0.003327079424640384
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]
precision
0.8394379186077556 [0.866667,0.823529,0.923077,0.722222,0.75,0.736842,1,0.692308,0.882353,0.875,1,0.5,0.875,0.941176,0.923077,1,0.55,0.833333,0.9375,0.866667,0.941176,0.5,0.933333,1,0.388889,0.941176,0.642857,0.615385,0.888889,0.882353,0.882353,1,0.705882,0.823529,0.875,0.454545,0.636364,0.933333,0.9375,0.923077,1,0.733333,0.533333,0.6875,0.846154,0.789474,0.6,0.882353,0.846154,0.875,0.52381,0.9375,0.833333,1,0.75,0.65,1,0.55,0.888889,1,1,0.9375,0.933333,0.823529,1,0.875,1,0.6875,1,0.857143,0.888889,0.625,1,0.875,1,1,0.8,0.941176,0.933333,0.8125,1,0.769231,0.533333,0.866667,0.875,1,0.888889,0.928571,0.941176,0.7,0.928571,0.785714,0.823529,1,0.882353,0.789474,0.928571,1,0.842105,0.941176]
predictive_accuracy
0.83364602876798
prior_entropy
6.643827772868604
recall
0.83364602876798 [0.866667,0.875,0.75,0.8125,0.75,0.875,0.8125,0.5625,0.9375,0.875,0.9375,0.4375,0.875,1,0.75,1,0.6875,0.9375,0.9375,0.8125,1,0.5625,0.875,0.9375,0.4375,1,0.5625,0.5,1,0.9375,0.9375,1,0.75,0.875,0.875,0.3125,0.875,0.875,0.9375,0.75,1,0.6875,0.5,0.6875,0.6875,0.9375,0.75,0.9375,0.6875,0.875,0.6875,0.9375,0.9375,0.875,0.75,0.8125,1,0.6875,1,1,1,0.9375,0.875,0.875,0.9375,0.875,0.9375,0.6875,0.8125,0.75,1,0.625,1,0.875,0.9375,0.9375,1,1,0.875,0.8125,0.875,0.625,0.5,0.8125,0.875,0.875,0.5,0.8125,1,0.875,0.8125,0.6875,0.875,0.9375,0.9375,0.9375,0.8125,0.9375,1,1]
relative_absolute_error
0.16803437622814268
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.057680841053510866
root_relative_squared_error
0.5797143777217378
total_cost
0
area_under_roc_curve
0.9212045219329672 [1,1,0.5,1,0.75,0.996835,0.75,0.5,1,1,1,0.5,1,1,1,1,0.996835,0.996855,1,1,1,0.75,1,0.75,0.5,0.996855,1,0.996835,1,0.5,0.996835,1,1,1,1,0.75,0.996855,1,1,0.75,1,0.993711,0.996855,1,1,1,0.746835,0.996855,0.75,0.996835,0.990566,1,1,1,1,1,1,0.990566,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996855,1,1,0.746835,0.75,1,1,0.5,0.75,0.996835,0.746835,0.75,0.75,0.993711,1,0.75,0.75,1,1,1,1]
area_under_roc_curve
0.9147758936390415 [1,0.5,1,0.996835,1,0.5,1,0.996855,1,0.996835,1,0.743671,0.996835,1,0.75,1,0.75,1,1,0.746835,1,0.75,1,1,0.490506,1,0.496855,0.746835,1,1,1,1,1,1,0.993711,0.5,1,0.996855,1,0.75,1,1,0.5,0.75,1,1,0.493671,0.996855,1,1,0.996855,1,1,1,0.996855,0.746835,1,0.996855,1,1,1,0.75,1,1,1,0.75,1,0.5,1,0.75,1,0.75,1,1,1,1,1,1,0.996855,1,1,1,0.496855,1,1,1,0.75,1,1,1,1,0.996835,1,1,1,1,1,1,0.993671,1]
area_under_roc_curve
0.9242894673990925 [1,1,1,1,0.75,1,1,1,1,1,1,0.993711,1,1,1,1,1,1,1,1,1,0.5,1,1,0.496855,1,0.996855,0.75,1,1,1,1,1,0.75,1,0.996855,0.996855,1,1,1,1,0.996855,1,0.996835,0.5,0.996835,0.990506,0.75,0.746835,1,0.5,1,0.996835,1,0.496855,1,1,0.5,1,1,1,0.996855,0.5,0.496855,1,1,1,1,1,0.75,0.996835,0.743671,1,1,1,1,1,1,1,0.75,1,0.75,0.996855,0.996835,0.996855,0.75,0.496835,1,1,0.5,1,0.75,1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9084666825889658 [1,1,0.75,0.996835,0.996835,0.996855,0.75,0.5,0.996855,1,1,1,1,1,0.75,1,0.75,1,0.75,1,1,0.740506,1,1,0.993711,1,1,0.5,1,1,0.996835,1,0.740506,0.75,1,0.493711,0.990566,0.75,0.496855,1,1,1,0.5,0.990506,0.75,0.996835,0.996835,1,0.5,1,1,0.996835,0.75,0.75,0.75,1,1,0.996855,1,1,1,1,1,1,1,1,1,1,1,0.996835,1,0.746835,1,1,0.75,0.75,1,1,1,1,1,0.75,1,1,1,0.75,1,1,1,1,1,0.75,0.75,1,1,0.996855,0.75,1,1,1]
area_under_roc_curve
0.9147360878910915 [0.996835,0.996835,0.75,0.996855,0.996855,1,1,0.5,0.996855,0.5,1,1,0.5,1,0.5,1,0.75,1,1,1,1,0.5,0.75,1,0.5,1,0.743671,0.996855,0.996835,1,1,1,0.993671,1,1,0.5,1,1,1,0.5,1,0.996835,0.746835,0.75,0.993671,0.75,1,1,1,0.996855,0.746835,1,1,1,0.75,0.75,1,1,0.996835,1,1,1,1,0.996835,1,1,1,1,1,0.996835,1,1,1,0.996835,1,1,0.993711,1,1,1,0.5,0.75,0.496855,1,1,1,0.75,1,1,0.996855,0.5,0.996835,1,0.5,1,1,0.75,1,1,0.996835]
area_under_roc_curve
0.9179603534750418 [1,0.996835,1,0.5,0.996855,0.996855,1,0.75,1,1,1,0.5,1,1,1,1,0.75,0.996835,1,1,1,0.996855,1,1,0.996855,1,0.5,0.5,1,0.996835,0.5,1,1,0.996835,1,0.493711,0.996835,1,1,0.996855,1,0.75,0.993671,1,1,1,1,1,1,1,0.990506,0.5,1,1,1,0.990506,1,0.75,1,1,1,1,0.75,1,1,1,1,0.746835,0.75,1,1,0.493711,1,1,1,1,1,1,0.75,0.75,1,0.496855,0.5,0.996855,0.75,1,1,0.5,1,0.996855,0.5,1,0.75,1,1,1,0.75,1,1,1]
area_under_roc_curve
0.9147758936390413 [1,1,1,1,1,1,1,0.746835,1,1,1,0.493671,1,1,1,1,0.496855,1,1,0.996835,1,0.993711,0.5,1,0.996835,1,0.75,0.493711,1,1,1,1,0.75,1,0.75,0.746835,0.75,1,1,1,1,1,0.996835,1,0.5,1,1,1,1,1,1,1,0.996835,1,1,0.5,1,0.746835,0.996835,1,1,1,1,0.746835,1,0.996855,1,0.75,0.5,0.5,0.996855,1,1,0.5,1,1,0.993711,0.996835,1,0.996835,1,0.5,0.5,1,1,1,0.5,0.996835,1,0.993671,1,0.5,1,1,0.993711,1,1,1,1,1]
area_under_roc_curve
0.9052424170050154 [0.496855,0.996835,0.746835,1,0.5,1,1,0.996835,0.75,0.5,0.75,0.75,1,1,1,1,0.990566,0.75,1,0.75,1,0.996855,1,1,0.496835,1,0.746835,0.5,1,1,1,1,0.5,1,1,0.75,0.996835,0.75,1,1,1,0.5,0.746835,0.496855,1,1,0.996855,1,1,1,0.75,1,0.996835,1,0.996835,0.996855,1,0.993671,1,1,1,1,1,1,1,0.996835,1,0.746835,1,1,1,0.996855,1,0.996835,1,1,1,1,0.75,0.746835,1,0.5,0.993671,0.5,0.746835,1,0.5,0.75,1,1,1,1,1,1,1,0.993671,0.996835,1,1,1]
area_under_roc_curve
0.9211846190589916 [1,1,1,0.75,1,0.993671,1,1,1,1,1,0.75,1,1,0.75,1,0.993711,0.996855,0.996855,1,0.996855,0.746835,0.996855,1,0.993671,1,1,0.75,0.996855,1,1,1,1,0.996855,0.5,0.75,0.75,1,1,1,1,0.75,0.5,0.5,1,1,1,1,0.746835,0.75,0.746835,1,1,0.75,0.746835,0.993711,1,0.75,1,1,1,1,1,1,0.75,1,1,0.993671,1,0.5,1,0.5,1,1,1,1,1,1,1,1,1,0.993711,0.75,1,1,1,1,1,1,1,1,0.496855,0.996855,1,1,1,1,0.5,0.996855,1]
area_under_roc_curve
0.9173587035394661 [0.5,0.75,1,0.743631,0.746815,1,0.75,0.996835,1,0.996815,1,0.746815,0.746815,0.996835,0.996815,1,0.993671,1,1,0.75,1,0.996815,1,1,0.75,1,0.75,1,1,0.996835,1,1,1,0.996835,1,0.5,0.996815,1,1,0.75,1,0.75,0.496815,0.5,1,0.993671,0.5,1,0.75,0.75,0.746815,1,1,1,1,1,1,0.746815,1,1,1,1,0.996815,1,1,0.75,0.5,0.746815,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996815,0.75,1,1,1,1,1,0.996815,0.996815,1,1,1,1,0.996815,1,1,1,1]
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
0.8421031855682312
kappa
0.8294243070362474
kappa
0.8483711747285291
kappa
0.8168035375868604
kappa
0.8293771475966666
kappa
0.835715978200774
kappa
0.8294040990403981
kappa
0.810434027092137
kappa
0.8420844848006317
kappa
0.8346928982725528
kb_relative_information_score
0.8434345213177987
kb_relative_information_score
0.8309092830232225
kb_relative_information_score
0.8496971404650868
kb_relative_information_score
0.8183840447286466
kb_relative_information_score
0.8309092830232225
kb_relative_information_score
0.8371585044015954
kb_relative_information_score
0.8308953699555027
kb_relative_information_score
0.8120244916162557
kb_relative_information_score
0.843421638847688
kb_relative_information_score
0.8360524414715731
mean_absolute_error
0.0031250000000000006
mean_absolute_error
0.003375000000000001
mean_absolute_error
0.003000000000000001
mean_absolute_error
0.003625000000000001
mean_absolute_error
0.003375000000000001
mean_absolute_error
0.0032500000000000007
mean_absolute_error
0.003375000000000001
mean_absolute_error
0.003750000000000001
mean_absolute_error
0.0031250000000000006
mean_absolute_error
0.003270440251572328
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
0.84375
predictive_accuracy
0.83125
predictive_accuracy
0.85
predictive_accuracy
0.81875
predictive_accuracy
0.83125
predictive_accuracy
0.8375
predictive_accuracy
0.83125
predictive_accuracy
0.8125
predictive_accuracy
0.84375
predictive_accuracy
0.8364779874213837
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
0.84375 [1,1,0,1,0.5,1,0.5,0,1,1,1,0,1,1,1,1,1,1,1,1,1,0.5,1,0.5,0,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,0.5,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,0,0.5,1,0.5,0.5,0.5,1,1,0.5,0.5,1,1,1,1]
recall
0.83125 [1,0,1,1,1,0,1,1,1,1,1,0.5,1,1,0.5,1,0.5,1,1,0.5,1,0.5,1,1,0,1,0,0.5,1,1,1,1,1,1,1,0,1,1,1,0.5,1,1,0,0.5,1,1,0,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,1,1,1,0.5,1,0,1,0.5,1,0.5,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1]
recall
0.85 [1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,0,1,1,0.5,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0,1,1,0.5,0.5,1,0,1,1,1,0,1,1,0,1,1,1,1,0,0,1,1,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,0.5,0,1,1,0,1,0.5,1,1,1,1,1,1,1,1]
recall
0.81875 [1,1,0.5,1,1,1,0.5,0,1,1,1,1,1,1,0.5,1,0.5,1,0.5,1,1,0.5,1,1,1,1,1,0,1,1,1,1,0.5,0.5,1,0,1,0.5,0,1,1,1,0,1,0.5,1,1,1,0,1,1,1,0.5,0.5,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,1,1,1,1,1,0.5,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,1,1,0.5,1,1,1]
recall
0.83125 [1,1,0.5,1,1,1,1,0,1,0,1,1,0,1,0,1,0.5,1,1,1,1,0,0.5,1,0,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,0.5,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0.5,0,1,1,1,0.5,1,1,1,0,1,1,0,1,1,0.5,1,1,1]
recall
0.8375 [1,1,1,0,1,1,1,0.5,1,1,1,0,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,0.5,0.5,1,1,0,1,1,1,1,1,1,0.5,0.5,1,0,0,1,0.5,1,1,0,1,1,0,1,0.5,1,1,1,0.5,1,1,1]
recall
0.83125 [1,1,1,1,1,1,1,0.5,1,1,1,0,1,1,1,1,0,1,1,1,1,1,0,1,1,1,0.5,0,1,1,1,1,0.5,1,0.5,0.5,0.5,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,1,0.5,1,1,1,1,1,0.5,1,1,1,0.5,0,0,1,1,1,0,1,1,1,1,1,1,1,0,0,1,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1]
recall
0.8125 [0,1,0.5,1,0,1,1,1,0.5,0,0.5,0.5,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0,1,0.5,0,1,1,1,1,0,1,1,0.5,1,0.5,1,1,1,0,0.5,0,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,0,1,0,0.5,1,0,0.5,1,1,1,1,1,1,1,1,1,1,1,1]
recall
0.84375 [1,1,1,0.5,1,1,1,1,1,1,1,0.5,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,1,1,1,1,1,1,0,0.5,0.5,1,1,1,1,0.5,0,0,1,1,1,1,0.5,0.5,0.5,1,1,0.5,0.5,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,0,1,0,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1]
recall
0.8364779874213837 [0,0.5,1,0.5,0.5,1,0.5,1,1,1,1,0.5,0.5,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,0.5,1,0.5,0,0,1,1,0,1,0.5,0.5,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0.5,0,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
relative_absolute_error
0.1578280482457771
relative_absolute_error
0.17045429210543925
relative_absolute_error
0.15151492631594604
relative_absolute_error
0.18308053596510146
relative_absolute_error
0.17045429210543936
relative_absolute_error
0.1641417800914832
relative_absolute_error
0.1704549254796172
relative_absolute_error
0.18939436164401907
relative_absolute_error
0.15782863470334912
relative_absolute_error
0.16517411447096358
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
0.05590169943749475
root_mean_squared_error
0.058094750193111264
root_mean_squared_error
0.05477225575051662
root_mean_squared_error
0.06020797289396149
root_mean_squared_error
0.058094750193111264
root_mean_squared_error
0.0570087712549569
root_mean_squared_error
0.058094750193111264
root_mean_squared_error
0.061237243569579464
root_mean_squared_error
0.05590169943749475
root_mean_squared_error
0.057187763127895884
root_relative_squared_error
0.5618322863420082
root_relative_squared_error
0.5838732391661664
root_relative_squared_error
0.5504809690236683
root_relative_squared_error
0.6051118911841796
root_relative_squared_error
0.5838732391661664
root_relative_squared_error
0.5729608872854781
root_relative_squared_error
0.5838754087228114
root_relative_squared_error
0.6154587204419427
root_relative_squared_error
0.5618343739988633
root_relative_squared_error
0.5747598135617934
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
363.70231000000786
usercpu_time_millis
358.66179799995734
usercpu_time_millis
368.29213299984076
usercpu_time_millis
361.46534800013796
usercpu_time_millis
362.25169999988793
usercpu_time_millis
369.7265610001068
usercpu_time_millis
365.2784920002432
usercpu_time_millis
361.4490500001466
usercpu_time_millis
363.76081000025806
usercpu_time_millis
359.69108500012226
usercpu_time_millis_testing
63.67240800000218
usercpu_time_millis_testing
62.55868399989595
usercpu_time_millis_testing
64.46089099995334
usercpu_time_millis_testing
63.65397800004757
usercpu_time_millis_testing
62.969486999918445
usercpu_time_millis_testing
66.57390600003055
usercpu_time_millis_testing
62.690333000091414
usercpu_time_millis_testing
64.28743400010717
usercpu_time_millis_testing
65.44910700017681
usercpu_time_millis_testing
62.18010600014168
usercpu_time_millis_training
300.0299020000057
usercpu_time_millis_training
296.1031140000614
usercpu_time_millis_training
303.8312419998874
usercpu_time_millis_training
297.8113700000904
usercpu_time_millis_training
299.2822129999695
usercpu_time_millis_training
303.15265500007627
usercpu_time_millis_training
302.5881590001518
usercpu_time_millis_training
297.16161600003943
usercpu_time_millis_training
298.31170300008125
usercpu_time_millis_training
297.5109789999806
wall_clock_time_millis
363.70038986206055
wall_clock_time_millis
358.6540222167969
wall_clock_time_millis
368.2904243469238
wall_clock_time_millis
363.14988136291504
wall_clock_time_millis
362.24865913391113
wall_clock_time_millis
369.7183132171631
wall_clock_time_millis
365.27037620544434
wall_clock_time_millis
361.44089698791504
wall_clock_time_millis
363.7518882751465
wall_clock_time_millis
359.6832752227783
wall_clock_time_millis_testing
63.67325782775879
wall_clock_time_millis_testing
62.55936622619629
wall_clock_time_millis_testing
64.46123123168945
wall_clock_time_millis_testing
65.34218788146973
wall_clock_time_millis_testing
62.96992301940918
wall_clock_time_millis_testing
66.5743350982666
wall_clock_time_millis_testing
62.69097328186035
wall_clock_time_millis_testing
64.28766250610352
wall_clock_time_millis_testing
65.44923782348633
wall_clock_time_millis_testing
62.18099594116211
wall_clock_time_millis_training
300.02713203430176
wall_clock_time_millis_training
296.0946559906006
wall_clock_time_millis_training
303.8291931152344
wall_clock_time_millis_training
297.8076934814453
wall_clock_time_millis_training
299.27873611450195
wall_clock_time_millis_training
303.1439781188965
wall_clock_time_millis_training
302.579402923584
wall_clock_time_millis_training
297.1532344818115
wall_clock_time_millis_training
298.30265045166016
wall_clock_time_millis_training
297.5022792816162