10414669
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8252413
C
873.74184695882
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.8137182528301703
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.011358542886099754
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
60194
16360
shrinking
false
16360
tol
0.038078154346489396
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21751147
description
https://api.openml.org/data/download/21751147/description.xml
-1
21751148
predictions
https://api.openml.org/data/download/21751148/predictions.arff
area_under_roc_curve
0.7725843000440293 [0.632386,0.778091,0.655934,0.874684,0.649933,0.871841,0.557762,0.592487,0.71875,0.624684,0.873737,0.498421,0.936868,0.936868,0.561237,0.998421,0.65088,0.651828,0.905934,0.936868,0.998105,0.499368,0.841855,0.809657,0.497473,0.806815,0.779039,0.499368,0.905934,0.966855,0.499368,0.998105,0.52746,0.998737,0.686868,0.591855,0.933394,0.90246,0.653091,0.812184,0.96875,0.842171,0.591539,0.623105,0.499052,0.747157,0.681183,0.686868,0.65088,0.809026,0.90088,0.681183,0.652776,0.777144,0.769563,0.778091,0.998421,0.683394,0.681815,0.968434,0.96875,0.935605,0.904355,0.780618,0.810605,0.84375,0.904039,0.716223,0.842802,0.499684,0.683394,0.718118,0.968118,0.775249,0.812184,0.874368,0.778091,0.997157,0.717487,0.686237,0.654987,0.685289,0.590907,0.621841,0.873105,0.96875,0.591223,0.839644,0.841223,0.96496,0.84375,0.593118,0.842487,0.999684,0.903407,0.681815,0.651828,0.968118,0.904039,0.905618]
average_cost
0
f_measure
0.531985590063255 [0.363636,0.514286,0.454545,0.827586,0.243902,0.631579,0.121212,0.26087,0.608696,0.380952,0.75,0,0.875,0.875,0.181818,0.864865,0.263158,0.285714,0.866667,0.875,0.842105,0,0.666667,0.571429,0,0.454545,0.5625,0,0.866667,0.810811,0,0.842105,0.068966,0.888889,0.5,0.24,0.651163,0.634146,0.322581,0.740741,0.967742,0.6875,0.230769,0.307692,0,0.484848,0.285714,0.5,0.263158,0.540541,0.565217,0.285714,0.3125,0.473684,0.290323,0.514286,0.864865,0.342857,0.3,0.9375,0.967742,0.777778,0.742857,0.666667,0.625,0.814815,0.722222,0.451613,0.733333,0,0.342857,0.56,0.909091,0.409091,0.740741,0.8,0.514286,0.780488,0.518519,0.461538,0.4,0.413793,0.214286,0.266667,0.705882,0.967742,0.222222,0.55,0.628571,0.697674,0.814815,0.285714,0.709677,0.969697,0.684211,0.3,0.285714,0.909091,0.722222,0.83871]
kappa
0.5451686614855106
kb_relative_information_score
0.5487012256647658
mean_absolute_error
0.009005628517823503
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
0.5508135034777502 [0.571429,0.473684,0.833333,0.923077,0.2,0.545455,0.117647,0.428571,1,0.8,0.75,0,0.875,0.875,0.333333,0.761905,0.227273,0.263158,0.928571,0.875,0.727273,0,0.647059,0.526316,0,0.357143,0.5625,0,0.928571,0.714286,0,0.727273,0.076923,0.8,0.75,0.333333,0.518519,0.52,0.333333,0.909091,1,0.6875,0.3,0.4,0,0.470588,0.230769,0.75,0.227273,0.47619,0.433333,0.230769,0.3125,0.409091,0.195652,0.473684,0.761905,0.315789,0.25,0.9375,1,0.7,0.684211,0.818182,0.625,1,0.65,0.466667,0.785714,0,0.315789,0.777778,0.882353,0.321429,0.909091,0.857143,0.473684,0.64,0.636364,0.6,0.555556,0.461538,0.25,0.285714,0.666667,1,0.272727,0.458333,0.578947,0.555556,1,0.6,0.733333,0.941176,0.590909,0.25,0.263158,0.882353,0.65,0.866667]
predictive_accuracy
0.5497185741088181
prior_entropy
6.643827772868604
recall
0.549718574108818 [0.266667,0.5625,0.3125,0.75,0.3125,0.75,0.125,0.1875,0.4375,0.25,0.75,0,0.875,0.875,0.125,1,0.3125,0.3125,0.8125,0.875,1,0,0.6875,0.625,0,0.625,0.5625,0,0.8125,0.9375,0,1,0.0625,1,0.375,0.1875,0.875,0.8125,0.3125,0.625,0.9375,0.6875,0.1875,0.25,0,0.5,0.375,0.375,0.3125,0.625,0.8125,0.375,0.3125,0.5625,0.5625,0.5625,1,0.375,0.375,0.9375,0.9375,0.875,0.8125,0.5625,0.625,0.6875,0.8125,0.4375,0.6875,0,0.375,0.4375,0.9375,0.5625,0.625,0.75,0.5625,1,0.4375,0.375,0.3125,0.375,0.1875,0.25,0.75,0.9375,0.1875,0.6875,0.6875,0.9375,0.6875,0.1875,0.6875,1,0.8125,0.375,0.3125,0.9375,0.8125,0.8125]
relative_absolute_error
0.4548298905423364
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.09489799006208458
root_relative_squared_error
0.9537608719132309
total_cost
0
area_under_roc_curve
0.7952790382931292 [0.5,0.996855,0.5,1,0.5,0.746835,0.5,0.5,1,0.5,0.996855,0.5,0.996835,1,0.5,1,0.987342,0.993711,1,1,1,0.5,1,0.743671,0.5,0.993711,0.996855,0.5,1,0.5,0.5,1,0.481132,1,0.996855,0.5,0.996855,0.996855,0.75,0.75,1,0.993711,0.493711,0.5,0.496855,0.993711,0.5,0.996855,0.5,0.75,0.990566,0.75,0.996855,0.493671,0.974843,0.75,1,0.993711,0.993711,1,1,0.996835,0.996855,1,0.746835,1,0.5,0.996855,1,0.5,0.5,0.75,0.996855,0.996855,1,1,0.75,1,1,0.996855,0.993711,0.75,0.75,0.5,1,1,0.5,0.746835,0.5,0.993671,0.75,0.75,1,1,0.75,0.75,0.993711,1,0.996835,1]
area_under_roc_curve
0.7573640633707506 [0.746835,0.493711,0.5,1,0.5,0.5,0.5,0.496855,0.75,0.5,0.996855,0.5,1,1,0.5,0.996835,0.743671,0.990566,1,0.746835,1,0.5,0.993671,0.746835,0.5,0.496835,0.493711,0.5,0.75,0.996835,0.5,1,0.990566,0.993711,0.496855,0.75,1,0.996855,0.75,0.75,1,1,0.5,0.5,0.496855,0.993711,0.493671,1,0.496835,0.746835,0.996855,0.75,0.996855,0.746835,0.974843,0.996835,0.996855,0.493711,0.990566,1,1,0.746835,0.996855,0.496855,1,0.75,0.75,0.5,1,0.5,0.5,0.75,1,0.987421,1,0.75,0.746835,0.993671,0.496855,0.996855,1,0.75,0.496855,0.5,0.996855,1,0.5,0.993671,0.75,0.996835,0.75,0.5,0.996855,0.996855,0.75,0.746835,0.487421,0.996855,0.496835,0.5]
area_under_roc_curve
0.7543786322745004 [0.75,0.990566,0.5,1,0.5,0.996855,0.5,1,0.5,0.5,1,0.493711,1,0.75,0.5,1,0.493671,0.5,1,1,1,0.5,0.75,0.996855,0.496855,0.993671,1,0.5,1,1,0.5,0.996855,0.5,1,0.75,0.493711,0.993711,0.996835,0.990566,0.5,0.75,0.996855,0.996855,0.5,0.5,0.5,0.490506,0.5,0.75,0.484277,0.993711,0.493671,0.75,1,0.971698,0.5,1,0.496855,0.981132,0.5,0.75,0.996855,0.996855,1,0.75,0.75,1,0.496855,0.990566,0.5,0.5,0.746835,1,0.996855,1,0.75,1,1,0.5,0.5,0.5,0.5,0.496855,0.5,0.990566,0.75,0.5,0.5,0.993671,0.996855,1,0.5,0.75,1,0.996835,0.990566,0.987421,0.996835,0.993671,0.996855]
area_under_roc_curve
0.773166945306902 [0.75,0.996855,1,0.996835,0.996835,0.496855,0.5,0.5,1,0.5,1,0.5,0.75,0.75,0.5,0.996835,0.75,0.743671,1,1,1,0.5,0.996835,1,0.493711,0.740506,0.990566,0.5,0.75,0.996835,0.5,0.996855,0.5,1,0.75,0.493711,0.984277,0.746835,0.490566,1,1,0.996855,0.496855,1,0.5,0.5,0.996835,1,0.974843,0.993711,1,0.496835,0.496835,0.75,0.75,0.746835,1,1,0.981132,0.996855,1,0.5,0.996855,0.5,0.75,0.5,0.990506,0.5,1,0.5,0.5,0.5,1,1,0.5,0.75,0.75,0.993711,0.5,1,0.996855,0.5,0.496855,0.5,1,1,0.5,0.993711,0.746835,1,1,0.5,0.75,1,0.993711,0.987421,0.496835,1,0.996835,0.996855]
area_under_roc_curve
0.7666587055170766 [0.75,0.746835,0.746835,1,0.987421,0.996855,0.496855,0.496835,0.5,0.5,0.743671,0.5,0.496855,1,0.5,0.996855,0.5,0.5,0.75,1,1,0.5,0.746835,0.5,0.493711,0.740506,0.746835,0.5,0.746835,1,0.496855,1,0.5,0.996835,0.5,0.996855,0.996835,1,0.490566,0.5,1,0.996835,0.493671,0.496835,0.5,0.5,0.743671,0.75,0.987421,0.993711,0.746835,0.75,0.5,0.496855,0.993671,0.75,1,0.75,0.5,1,1,1,1,0.996835,0.493711,1,1,0.743671,1,0.5,0.984277,1,1,0.734177,0.746835,1,0.993711,1,1,0.5,0.5,0.5,0.496855,0.996855,1,1,0.496835,0.487421,0.75,0.996855,0.5,0.75,0.75,1,1,0.987421,0.5,1,0.75,1]
area_under_roc_curve
0.7730276251890772 [0.5,0.996835,0.75,0.5,0.981132,1,0.496855,0.5,1,0.996855,1,0.5,1,1,0.993711,0.993711,0.496835,0.5,0.75,1,1,0.5,0.746835,0.996855,0.493711,0.740506,0.5,0.5,1,0.996835,0.5,1,0.5,1,0.5,0.996855,0.993671,0.996835,1,0.996855,1,0.75,0.5,0.75,0.496835,0.75,0.740506,0.5,0.990566,1,0.984177,0.490566,0.496835,0.996855,0.5,0.990506,1,0.740506,0.5,1,1,1,0.5,0.75,0.996855,1,1,0.75,0.75,0.5,0.993711,0.496855,1,0.5,0.5,1,0.990566,0.996855,0.75,0.5,0.496835,0.496855,0.5,0.984277,0.5,1,0.5,0.993711,0.996835,0.996855,0.5,0.5,0.75,1,1,0.990566,0.5,1,1,1]
area_under_roc_curve
0.7856858530371782 [0.493711,1,0.5,1,0.993711,0.996835,0.977987,0.5,0.75,1,0.75,0.496835,1,1,0.5,1,0.496855,0.5,1,1,0.993671,0.5,0.5,0.496835,0.5,0.743671,0.5,0.5,1,0.996835,0.496855,0.996835,0.5,1,0.75,0.5,0.746835,0.993671,0.5,1,1,1,0.496835,0.990566,0.5,0.75,0.990566,0.5,0.996855,1,0.996835,0.996855,0.5,0.487421,1,0.5,1,0.743671,0.5,1,1,1,0.75,0.75,0.496855,1,0.996855,0.75,0.5,0.5,0.987421,1,1,0.493671,1,0.996855,0.993711,0.993671,0.75,0.5,0.75,0.5,0.5,0.990566,0.996835,1,0.993711,1,0.996855,0.993671,0.75,0.496855,1,1,0.993711,0.5,0.496835,1,0.996855,1]
area_under_roc_curve
0.7573441604967753 [0.5,0.746835,0.5,1,0.484277,0.993671,0.981132,1,0.5,0.5,0.75,0.493671,1,0.996855,0.993711,1,0.487421,0.5,0.496855,0.75,0.996855,0.493711,0.996855,1,0.5,1,0.75,0.493711,1,1,0.5,0.993671,0.5,1,0.75,0.5,1,0.493671,0.5,1,1,0.5,0.5,0.496855,0.5,1,0.496855,0.75,0.5,0.75,0.746835,0.968553,0.496835,0.996855,0.496835,0.493711,0.996835,0.75,0.5,1,1,0.993671,1,1,0.996855,1,0.993711,0.743671,0.75,0.496855,0.993711,0.5,0.75,0.493671,1,0.5,0.993711,1,0.5,0.5,0.75,1,0.493671,0.996855,0.746835,1,0.493711,0.5,1,0.746835,1,1,0.746835,1,0.993671,0.5,0.75,1,1,0.75]
area_under_roc_curve
0.7635936629249259 [0.5,0.5,1,0.5,0.493671,0.993671,0.5,0.493671,0.5,1,1,0.5,1,0.996855,0.5,1,0.496855,0.987421,1,1,0.990566,0.5,1,0.743671,0.5,1,1,0.5,1,0.996855,0.5,0.996835,0.496855,0.996855,1,0.5,0.746835,0.996855,0.746835,0.75,1,0.75,0.75,0.496855,0.5,0.990566,0.990566,0.5,0.5,0.746835,0.996835,0.990566,0.984277,0.743671,0.5,0.990566,0.993671,0.496835,0.5,1,1,1,1,0.5,0.75,1,0.996855,0.75,0.75,0.5,0.5,0.5,0.996855,0.987342,0.5,0.996835,0.5,0.996835,0.996855,0.993711,0.5,0.981132,0.493671,0.5,0.75,1,0.993711,1,0.996855,1,1,0.5,0.993711,1,0.746835,0.496835,0.75,0.5,1,0.75]
area_under_roc_curve
0.803273401596388 [0.5,0.5,0.5,0.75,0.5,0.996815,0.5,0.5,0.75,0.5,0.5,0.5,1,1,0.5,1,0.993671,0.990506,1,0.996815,1,0.5,0.5,0.996815,0.496815,0.993671,1,0.5,1,0.996835,0.5,1,0.493671,1,0.5,0.5,1,0.993671,0.5,0.75,1,0.75,0.75,0.5,0.5,0.993671,0.493671,0.496835,0.5,0.75,0.743631,0.5,0.996835,0.996815,0.971519,1,0.996815,0.493631,0.996815,1,1,0.996815,0.993631,0.75,1,0.5,1,0.743631,1,0.5,1,1,1,1,1,1,0.5,0.996815,0.993671,1,0.5,1,0.996815,0.5,1,1,0.996835,0.993631,0.993671,0.990446,1,0.496835,1,1,0.996815,0.493631,0.993671,1,0.996835,1]
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
0.5899538698103537
kappa
0.5141572679233378
kappa
0.50806101935433
kappa
0.5457413249211357
kappa
0.5328282828282828
kappa
0.5455979804354687
kappa
0.57082560845726
kappa
0.5141189462060263
kappa
0.52675789722759
kappa
0.6061054061613457
kb_relative_information_score
0.5927668188310328
kb_relative_information_score
0.5176968573611974
kb_relative_information_score
0.5114342382139094
kb_relative_information_score
0.5490099530976379
kb_relative_information_score
0.5364847148030617
kb_relative_information_score
0.5489728448803701
kb_relative_information_score
0.5740253826647403
kb_relative_information_score
0.5176571726499076
kb_relative_information_score
0.5301834415420926
kb_relative_information_score
0.6091616506505785
mean_absolute_error
0.008125000000000004
mean_absolute_error
0.009625000000000005
mean_absolute_error
0.009750000000000005
mean_absolute_error
0.009000000000000005
mean_absolute_error
0.009250000000000005
mean_absolute_error
0.009000000000000005
mean_absolute_error
0.008500000000000004
mean_absolute_error
0.009625000000000005
mean_absolute_error
0.009375000000000005
mean_absolute_error
0.007798742138364784
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
0.59375
predictive_accuracy
0.51875
predictive_accuracy
0.5125
predictive_accuracy
0.55
predictive_accuracy
0.5375
predictive_accuracy
0.55
predictive_accuracy
0.575
predictive_accuracy
0.51875
predictive_accuracy
0.53125
predictive_accuracy
0.610062893081761
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
0.59375 [0,1,0,1,0,0.5,0,0,1,0,1,0,1,1,0,1,1,1,1,1,1,0,1,0.5,0,1,1,0,1,0,0,1,0,1,1,0,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,0.5,1,0.5,1,0,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0,1,1,0,0,0.5,1,1,1,1,0.5,1,1,1,1,0.5,0.5,0,1,1,0,0.5,0,1,0.5,0.5,1,1,0.5,0.5,1,1,1,1]
recall
0.51875 [0.5,0,0,1,0,0,0,0,0.5,0,1,0,1,1,0,1,0.5,1,1,0.5,1,0,1,0.5,0,0,0,0,0.5,1,0,1,1,1,0,0.5,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,0.5,1,0.5,1,0.5,1,1,1,0,1,1,1,0.5,1,0,1,0.5,0.5,0,1,0,0,0.5,1,1,1,0.5,0.5,1,0,1,1,0.5,0,0,1,1,0,1,0.5,1,0.5,0,1,1,0.5,0.5,0,1,0,0]
recall
0.5125 [0.5,1,0,1,0,1,0,1,0,0,1,0,1,0.5,0,1,0,0,1,1,1,0,0.5,1,0,1,1,0,1,1,0,1,0,1,0.5,0,1,1,1,0,0.5,1,1,0,0,0,0,0,0.5,0,1,0,0.5,1,1,0,1,0,1,0,0.5,1,1,1,0.5,0.5,1,0,1,0,0,0.5,1,1,1,0.5,1,1,0,0,0,0,0,0,1,0.5,0,0,1,1,1,0,0.5,1,1,1,1,1,1,1]
recall
0.55 [0.5,1,1,1,1,0,0,0,1,0,1,0,0.5,0.5,0,1,0.5,0.5,1,1,1,0,1,1,0,0.5,1,0,0.5,1,0,1,0,1,0.5,0,1,0.5,0,1,1,1,0,1,0,0,1,1,1,1,1,0,0,0.5,0.5,0.5,1,1,1,1,1,0,1,0,0.5,0,1,0,1,0,0,0,1,1,0,0.5,0.5,1,0,1,1,0,0,0,1,1,0,1,0.5,1,1,0,0.5,1,1,1,0,1,1,1]
recall
0.5375 [0.5,0.5,0.5,1,1,1,0,0,0,0,0.5,0,0,1,0,1,0,0,0.5,1,1,0,0.5,0,0,0.5,0.5,0,0.5,1,0,1,0,1,0,1,1,1,0,0,1,1,0,0,0,0,0.5,0.5,1,1,0.5,0.5,0,0,1,0.5,1,0.5,0,1,1,1,1,1,0,1,1,0.5,1,0,1,1,1,0.5,0.5,1,1,1,1,0,0,0,0,1,1,1,0,0,0.5,1,0,0.5,0.5,1,1,1,0,1,0.5,1]
recall
0.55 [0,1,0.5,0,1,1,0,0,1,1,1,0,1,1,1,1,0,0,0.5,1,1,0,0.5,1,0,0.5,0,0,1,1,0,1,0,1,0,1,1,1,1,1,1,0.5,0,0.5,0,0.5,0.5,0,1,1,1,0,0,1,0,1,1,0.5,0,1,1,1,0,0.5,1,1,1,0.5,0.5,0,1,0,1,0,0,1,1,1,0.5,0,0,0,0,1,0,1,0,1,1,1,0,0,0.5,1,1,1,0,1,1,1]
recall
0.575 [0,1,0,1,1,1,1,0,0.5,1,0.5,0,1,1,0,1,0,0,1,1,1,0,0,0,0,0.5,0,0,1,1,0,1,0,1,0.5,0,0.5,1,0,1,1,1,0,1,0,0.5,1,0,1,1,1,1,0,0,1,0,1,0.5,0,1,1,1,0.5,0.5,0,1,1,0.5,0,0,1,1,1,0,1,1,1,1,0.5,0,0.5,0,0,1,1,1,1,1,1,1,0.5,0,1,1,1,0,0,1,1,1]
recall
0.51875 [0,0.5,0,1,0,1,1,1,0,0,0.5,0,1,1,1,1,0,0,0,0.5,1,0,1,1,0,1,0.5,0,1,1,0,1,0,1,0.5,0,1,0,0,1,1,0,0,0,0,1,0,0.5,0,0.5,0.5,1,0,1,0,0,1,0.5,0,1,1,1,1,1,1,1,1,0.5,0.5,0,1,0,0.5,0,1,0,1,1,0,0,0.5,1,0,1,0.5,1,0,0,1,0.5,1,1,0.5,1,1,0,0.5,1,1,0.5]
recall
0.53125 [0,0,1,0,0,1,0,0,0,1,1,0,1,1,0,1,0,1,1,1,1,0,1,0.5,0,1,1,0,1,1,0,1,0,1,1,0,0.5,1,0.5,0.5,1,0.5,0.5,0,0,1,1,0,0,0.5,1,1,1,0.5,0,1,1,0,0,1,1,1,1,0,0.5,1,1,0.5,0.5,0,0,0,1,1,0,1,0,1,1,1,0,1,0,0,0.5,1,1,1,1,1,1,0,1,1,0.5,0,0.5,0,1,0.5]
recall
0.610062893081761 [0,0,0,0.5,0,1,0,0,0.5,0,0,0,1,1,0,1,1,1,1,1,1,0,0,1,0,1,1,0,1,1,0,1,0,1,0,0,1,1,0,0.5,1,0.5,0.5,0,0,1,0,0,0,0.5,0.5,0,1,1,1,1,1,0,1,1,1,1,1,0.5,1,0,1,0.5,1,0,1,1,1,1,1,1,0,1,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1]
relative_absolute_error
0.4103529254390205
relative_absolute_error
0.48611038859699357
relative_absolute_error
0.4924235105268248
relative_absolute_error
0.45454477894783823
relative_absolute_error
0.46717102280750056
relative_absolute_error
0.4545464679456459
relative_absolute_error
0.42929388639311
relative_absolute_error
0.48611219488631574
relative_absolute_error
0.4734859041100476
relative_absolute_error
0.39387673450768246
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
0.09013878188659975
root_mean_squared_error
0.09810708435174294
root_mean_squared_error
0.09874208829065752
root_mean_squared_error
0.0948683298050514
root_mean_squared_error
0.09617692030835674
root_mean_squared_error
0.0948683298050514
root_mean_squared_error
0.0921954445729289
root_mean_squared_error
0.09810708435174294
root_mean_squared_error
0.09682458365518545
root_mean_squared_error
0.08831048713694645
root_relative_squared_error
0.9059273407610291
root_relative_squared_error
0.9860116608676431
root_relative_squared_error
0.99239367999097
root_relative_squared_error
0.9534610069487428
root_relative_squared_error
0.966612814528037
root_relative_squared_error
0.9534645498199084
root_relative_squared_error
0.9266009872400361
root_relative_squared_error
0.9860153246905543
root_relative_squared_error
0.973125681204686
root_relative_squared_error
0.8875555948720673
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
511.795217000099
usercpu_time_millis
511.6858589999538
usercpu_time_millis
512.221346999695
usercpu_time_millis
511.119946000008
usercpu_time_millis
509.9187600001187
usercpu_time_millis
507.3443100000077
usercpu_time_millis
512.3705170001358
usercpu_time_millis
505.38539799981663
usercpu_time_millis
512.575828999843
usercpu_time_millis
510.073962999968
usercpu_time_millis_testing
67.57331900007557
usercpu_time_millis_testing
67.46629600002052
usercpu_time_millis_testing
66.67867499982094
usercpu_time_millis_testing
67.4972130000242
usercpu_time_millis_testing
67.64422300011574
usercpu_time_millis_testing
67.03749899998002
usercpu_time_millis_testing
67.20211200013182
usercpu_time_millis_testing
66.5440979998948
usercpu_time_millis_testing
67.05239299981258
usercpu_time_millis_testing
67.53248199993322
usercpu_time_millis_training
444.22189800002343
usercpu_time_millis_training
444.21956299993326
usercpu_time_millis_training
445.5426719998741
usercpu_time_millis_training
443.6227329999838
usercpu_time_millis_training
442.27453700000297
usercpu_time_millis_training
440.30681100002766
usercpu_time_millis_training
445.168405000004
usercpu_time_millis_training
438.84129999992183
usercpu_time_millis_training
445.5234360000304
usercpu_time_millis_training
442.54148100003476
wall_clock_time_millis
511.7805004119873
wall_clock_time_millis
511.66677474975586
wall_clock_time_millis
512.2132301330566
wall_clock_time_millis
511.1086368560791
wall_clock_time_millis
509.89460945129395
wall_clock_time_millis
507.31706619262695
wall_clock_time_millis
512.3565196990967
wall_clock_time_millis
505.36179542541504
wall_clock_time_millis
512.5579833984375
wall_clock_time_millis
510.04767417907715
wall_clock_time_millis_testing
67.57521629333496
wall_clock_time_millis_testing
67.46840476989746
wall_clock_time_millis_testing
66.680908203125
wall_clock_time_millis_testing
67.50178337097168
wall_clock_time_millis_testing
67.64698028564453
wall_clock_time_millis_testing
67.03996658325195
wall_clock_time_millis_testing
67.20590591430664
wall_clock_time_millis_testing
66.54691696166992
wall_clock_time_millis_testing
67.06428527832031
wall_clock_time_millis_testing
67.5349235534668
wall_clock_time_millis_training
444.20528411865234
wall_clock_time_millis_training
444.1983699798584
wall_clock_time_millis_training
445.53232192993164
wall_clock_time_millis_training
443.6068534851074
wall_clock_time_millis_training
442.2476291656494
wall_clock_time_millis_training
440.277099609375
wall_clock_time_millis_training
445.15061378479004
wall_clock_time_millis_training
438.8148784637451
wall_clock_time_millis_training
445.4936981201172
wall_clock_time_millis_training
442.51275062561035