10401643
1
Jan van Rijn
9954
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8239412
C
0.3984313033266923
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.020196919559932296
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
38753
16360
shrinking
false
16360
tol
1.7334495176044944e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
21725071
description
https://api.openml.org/data/download/21725071/description.xml
-1
21725072
predictions
https://api.openml.org/data/download/21725072/predictions.arff
area_under_roc_curve
0.596906565656566 [0.554293,0.617109,0.624369,0.624369,0.622475,0.620581,0.624053,0.619318,0.560922,0.625,0.58649,0.620581,0.621528,0.561553,0.623422,0.620581,0.625,0.520202,0.578598,0.557449,0.530934,0.53125,0.588068,0.622159,0.5625,0.498106,0.555871,0.590278,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.619003,0.553977,0.621212,0.623737,0.587121,0.618056,0.624369,0.621843,0.589646,0.622475,0.622475,0.621212,0.618371,0.585859,0.559659,0.589331,0.619318,0.591225,0.620265,0.527146,0.624684,0.586806,0.584912,0.621528,0.62279,0.592803,0.618371,0.56029,0.619003,0.586806,0.554924,0.623737,0.590278,0.585859,0.593119,0.592803,0.619318,0.592487,0.557134,0.620581,0.621528,0.620896,0.623737,0.62279,0.529356,0.590909,0.620265,0.590593,0.621212,0.619949,0.624369,0.557134,0.593119,0.616162,0.52904,0.624684,0.621843,0.613636,0.615215,0.623106,0.616162,0.559343,0.498106,0.621528]
average_cost
0
f_measure
0.21543417525862044 [0.090909,0.177778,0.363636,0.363636,0.285714,0.235294,0.347826,0.210526,0.173913,0.4,0.142857,0.235294,0.258065,0.190476,0.32,0.235294,0.4,0.038462,0.089552,0.117647,0.111111,0.117647,0.162162,0.275862,0.222222,0,0.102564,0.2,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.205128,0.088889,0.25,0.333333,0.15,0.190476,0.363636,0.266667,0.1875,0.285714,0.285714,0.25,0.195122,0.136364,0.148148,0.181818,0.210526,0.222222,0.228571,0.066667,0.380952,0.146341,0.12766,0.258065,0.296296,0.272727,0.195122,0.16,0.205128,0.146341,0.095238,0.333333,0.2,0.136364,0.285714,0.272727,0.210526,0.26087,0.114286,0.235294,0.258065,0.242424,0.333333,0.296296,0.086957,0.214286,0.228571,0.206897,0.25,0.222222,0.363636,0.114286,0.285714,0.166667,0.083333,0.380952,0.266667,0.142857,0.156863,0.307692,0.166667,0.142857,0,0.258065]
kappa
0.1938131313131313
kb_relative_information_score
0.20013316984408963
mean_absolute_error
0.015962499999999716
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]
precision
0.3085859875122658 [0.071429,0.137931,0.666667,0.666667,0.333333,0.222222,0.571429,0.181818,0.285714,1,0.115385,0.222222,0.266667,0.4,0.444444,0.222222,1,0.027778,0.058824,0.111111,0.5,1,0.142857,0.307692,1,0,0.086957,0.214286,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.173913,0.068966,0.25,0.5,0.125,0.153846,0.666667,0.285714,0.1875,0.333333,0.333333,0.25,0.16,0.107143,0.181818,0.176471,0.181818,0.272727,0.210526,0.071429,0.8,0.12,0.096774,0.266667,0.363636,0.5,0.16,0.222222,0.173913,0.12,0.076923,0.5,0.214286,0.107143,0.6,0.5,0.181818,0.428571,0.105263,0.222222,0.266667,0.235294,0.5,0.363636,0.142857,0.25,0.210526,0.230769,0.25,0.2,0.666667,0.105263,0.6,0.125,0.125,0.8,0.285714,0.1,0.114286,0.4,0.125,0.166667,0,0.266667]
predictive_accuracy
0.201875
prior_entropy
6.643856189774611
recall
0.201875 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.0625,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.1875,0.125,0.25,0.25,0.25,0.25,0.25,0.0625,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.1875,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0,0.25]
relative_absolute_error
0.8061868686868529
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.12634278768493165
root_relative_squared_error
1.2697927930862207
total_cost
0
area_under_roc_curve
0.5943396226415091 [0.481132,0.5,0.5,1,0.5,0.984277,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.977987,0.496855,0.5,0.974843,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.987421,0.990566,0.5,0.974843,0.987421,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.993711,0.490566,0.5,0.965409,0.493711,0.5,0.993711,0.993711,0.5,0.5,0.984277,0.5,0.5,0.993711,0.990566,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.990566]
area_under_roc_curve
0.6069182389937106 [0.965409,0.5,0.5,1,0.5,0.993711,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,1,0.5,0.481132,0.993711,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.993711,0.984277,0.990566,0.5,0.981132,0.981132,0.5,0.5,0.5,0.5,1,0.987421,0.5,0.5,0.5,0.5,0.974843,0.5,0.996855,0.487421,0.5,0.971698,0.987421,0.5,0.996855,0.996855,0.5,0.5,0.990566,0.5,0.5,0.996855,0.490566,0.987421,0.5,0.996855,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.990566,0.5,0.5,0.5,0.5,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.987421]
area_under_roc_curve
0.5974842767295596 [0.5,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,0.5,0.5,0.987421,1,0.5,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.5,0.959119,0.996855,0.971698,0.468553,0.990566,0.5,0.5,0.984277,1,0.977987,0.5,0.990566,0.5,0.990566,0.5,0.5,0.5,0.993711,0.990566,0.5,0.981132,0.5,1,0.5,0.962264,0.5,0.996855,0.5,0.5,0.487421,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.981132,0.5,0.984277,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.996855,0.990566,0.996855,0.5,0.5,0.977987,0.5,0.996855,1,0.5,0.5,1,0.5,0.5,0.496855,0.5]
area_under_roc_curve
0.6069182389937104 [0.5,0.5,0.5,0.996855,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.996855,0.5,0.5,0.5,0.987421,0.5,0.5,0.996855,0.5,0.5,0.5,0.974843,0.993711,0.977987,0.474843,0.990566,0.5,0.5,0.977987,0.996855,0.993711,0.5,0.990566,0.5,0.990566,0.5,0.5,0.5,0.990566,0.990566,0.5,0.981132,0.5,1,0.5,0.968553,0.5,0.990566,1,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.984277,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.984277,1,0.5,0.5,0.965409,0.5,1,0.993711,0.5,0.5,0.987421,0.5,0.5,0.490566,0.5]
area_under_roc_curve
0.5911949685534589 [0.5,0.987421,0.5,0.5,0.990566,0.5,0.996855,0.5,0.496855,0.5,0.5,0.5,0.993711,0.496855,0.993711,0.5,0.5,0.5,0.930818,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.990566,0.5,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.987421,0.996855,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.490566,0.5,0.5,0.996855,0.5,0.5,0.987421,0.5,0.5,0.971698,0.996855,0.5,0.5,0.471698,0.5,0.5,0.5,0.5,0.5,0.987421,0.996855,0.5,0.996855,0.5,0.5,0.5,0.993711,0.493711,0.5,0.5,0.5,0.987421,0.993711,0.996855,0.987421,0.5,0.5,0.493711,0.5,0.981132,0.977987,0.5,0.996855,0.5,0.984277,0.5,0.5]
area_under_roc_curve
0.60377358490566 [0.5,0.987421,0.5,0.5,0.993711,0.5,0.996855,0.5,1,0.5,0.5,0.5,0.990566,0.493711,0.996855,0.5,0.5,0.5,0.946541,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,1,0.5,0.993711,1,0.5,0.5,0.95283,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.987421,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.993711,0.5,0.5,0.977987,0.993711,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.990566,0.490566,0.5,0.990566,0.5,0.5,0.5,0.993711,0.496855,0.5,0.5,0.5,0.990566,0.981132,1,0.990566,0.5,0.5,0.490566,0.5,0.993711,0.984277,0.5,0.996855,0.5,0.990566,0.493711,0.5]
area_under_roc_curve
0.5943396226415094 [0.5,0.974843,1,0.5,0.996855,0.5,0.5,0.5,0.993711,0.5,0.987421,0.984277,0.5,1,0.996855,0.5,1,0.974843,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.468553,0.5,0.993711,0.5,0.5,0.5,0.990566,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.981132,0.987421,0.490566,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.990566,0.5,0.5,0.971698,0.493711,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.984277,0.990566,0.990566,1,0.996855,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,1,0.5,0.5,0.959119,0.981132,0.5,0.5,0.496855,0.5,0.5]
area_under_roc_curve
0.5943396226415093 [0.5,0.971698,1,0.5,0.993711,0.5,0.5,0.5,0.493711,0.5,0.484277,0.990566,0.5,1,0.996855,0.5,1,0.459119,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.990566,0.5,0.5,1,0.990566,0.990566,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.987421,0.484277,0.981132,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.993711,0.5,0.5,0.471698,0.993711,0.5,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.984277,0.987421,0.981132,1,0.993711,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,1,0.5,0.493711,0.5,0.5,0.965409,0.977987,0.5,0.5,0.496855,0.5,0.5]
area_under_roc_curve
0.5974842767295596 [0.477987,0.5,1,0.5,0.5,0.987421,0.5,0.990566,0.5,1,0.974843,0.981132,0.5,0.5,0.5,0.984277,1,0.481132,0.5,0.487421,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.493711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.981132,0.974843,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,1,0.5,0.977987,0.996855,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.993711,0.5,0.5,0.993711,0.990566,0.990566,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.965409,0.5,0.971698,0.5,0.5,0.996855]
area_under_roc_curve
0.5974842767295595 [0.993711,0.5,0.993711,0.5,0.5,0.990566,0.5,0.981132,0.5,1,0.981132,1,0.5,0.5,0.5,0.981132,1,0.474843,0.5,0.496855,0.5,0.5,0.993711,0.5,0.5,0.493711,0.484277,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.974843,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.993711,0.5,0.996855,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.993711,0.5,0.5,0.493711,0.984277,0.493711,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.977987,0.5,0.965409,0.5,0.5,0.990566]
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
0.18867924528301885
kappa
0.21383647798742136
kappa
0.1949685534591195
kappa
0.21383647798742136
kappa
0.18238993710691823
kappa
0.20754716981132074
kappa
0.18867924528301885
kappa
0.18867924528301885
kappa
0.1949685534591195
kappa
0.1949685534591195
kb_relative_information_score
0.19199043782213684
kb_relative_information_score
0.21704499788966752
kb_relative_information_score
0.19825407783901952
kb_relative_information_score
0.21704499788966752
kb_relative_information_score
0.1857267978052542
kb_relative_information_score
0.21078135787278487
kb_relative_information_score
0.19199043782213684
kb_relative_information_score
0.1919904378221369
kb_relative_information_score
0.19825407783901952
kb_relative_information_score
0.19825407783901952
mean_absolute_error
0.01612500000000001
mean_absolute_error
0.01562500000000001
mean_absolute_error
0.01600000000000001
mean_absolute_error
0.01562500000000001
mean_absolute_error
0.01625000000000001
mean_absolute_error
0.01575000000000001
mean_absolute_error
0.01612500000000001
mean_absolute_error
0.01612500000000001
mean_absolute_error
0.01600000000000001
mean_absolute_error
0.01600000000000001
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
0.19375
predictive_accuracy
0.21875
predictive_accuracy
0.2
predictive_accuracy
0.21875
predictive_accuracy
0.1875
predictive_accuracy
0.2125
predictive_accuracy
0.19375
predictive_accuracy
0.19375
predictive_accuracy
0.2
predictive_accuracy
0.2
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
prior_entropy
6.643856189774732
recall
0.19375 [0,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,0,0,1,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1]
recall
0.21875 [1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1]
recall
0.2 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0]
recall
0.21875 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0]
recall
0.1875 [0,1,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0]
recall
0.2125 [0,1,0,0,1,0,1,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0]
recall
0.19375 [0,1,1,0,1,0,0,0,1,0,1,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0]
recall
0.19375 [0,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0]
recall
0.2 [0,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1]
recall
0.2 [1,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,1,0,1,0,1,0,1,0,0,0,0,1,1,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1]
relative_absolute_error
0.8143939393939387
relative_absolute_error
0.7891414141414134
relative_absolute_error
0.8080808080808072
relative_absolute_error
0.7891414141414134
relative_absolute_error
0.8207070707070698
relative_absolute_error
0.7954545454545446
relative_absolute_error
0.8143939393939387
relative_absolute_error
0.8143939393939387
relative_absolute_error
0.8080808080808072
relative_absolute_error
0.8080808080808072
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
0.12698425099200297
root_mean_squared_error
0.12500000000000003
root_mean_squared_error
0.12649110640673522
root_mean_squared_error
0.12500000000000003
root_mean_squared_error
0.12747548783981966
root_mean_squared_error
0.12549900398011138
root_mean_squared_error
0.12698425099200297
root_mean_squared_error
0.12698425099200297
root_mean_squared_error
0.12649110640673522
root_mean_squared_error
0.12649110640673522
root_relative_squared_error
1.2762397418933003
root_relative_squared_error
1.2562972690740146
root_relative_squared_error
1.271283452327456
root_relative_squared_error
1.2562972690740146
root_relative_squared_error
1.2811768579763452
root_relative_squared_error
1.2613124477737823
root_relative_squared_error
1.2762397418933003
root_relative_squared_error
1.2762397418933003
root_relative_squared_error
1.271283452327456
root_relative_squared_error
1.271283452327456
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
715.2175889998489
usercpu_time_millis
715.3342550000161
usercpu_time_millis
716.7431670000042
usercpu_time_millis
717.2969190000913
usercpu_time_millis
716.8298050000885
usercpu_time_millis
720.5465089998597
usercpu_time_millis
716.9847400000435
usercpu_time_millis
716.6043150000405
usercpu_time_millis
716.4629839999179
usercpu_time_millis
717.1817200003261
usercpu_time_millis_testing
63.220033999868974
usercpu_time_millis_testing
63.20556600007876
usercpu_time_millis_testing
63.47726500007411
usercpu_time_millis_testing
63.45226600001297
usercpu_time_millis_testing
63.427623000052336
usercpu_time_millis_testing
63.79346199992142
usercpu_time_millis_testing
63.250269000036496
usercpu_time_millis_testing
63.36229899989121
usercpu_time_millis_testing
63.47245799997836
usercpu_time_millis_testing
63.56969000012214
usercpu_time_millis_training
651.9975549999799
usercpu_time_millis_training
652.1286889999374
usercpu_time_millis_training
653.2659019999301
usercpu_time_millis_training
653.8446530000783
usercpu_time_millis_training
653.4021820000362
usercpu_time_millis_training
656.7530469999383
usercpu_time_millis_training
653.734471000007
usercpu_time_millis_training
653.2420160001493
usercpu_time_millis_training
652.9905259999396
usercpu_time_millis_training
653.612030000204
wall_clock_time_millis
715.2373790740967
wall_clock_time_millis
715.3520584106445
wall_clock_time_millis
716.7527675628662
wall_clock_time_millis
717.3230648040771
wall_clock_time_millis
716.850996017456
wall_clock_time_millis
720.5753326416016
wall_clock_time_millis
717.003583908081
wall_clock_time_millis
716.6249752044678
wall_clock_time_millis
716.4716720581055
wall_clock_time_millis
717.1919345855713
wall_clock_time_millis_testing
63.22789192199707
wall_clock_time_millis_testing
63.213348388671875
wall_clock_time_millis_testing
63.48562240600586
wall_clock_time_millis_testing
63.4613037109375
wall_clock_time_millis_testing
63.436031341552734
wall_clock_time_millis_testing
63.80629539489746
wall_clock_time_millis_testing
63.25793266296387
wall_clock_time_millis_testing
63.37118148803711
wall_clock_time_millis_testing
63.48109245300293
wall_clock_time_millis_testing
63.57884407043457
wall_clock_time_millis_training
652.0094871520996
wall_clock_time_millis_training
652.1387100219727
wall_clock_time_millis_training
653.2671451568604
wall_clock_time_millis_training
653.8617610931396
wall_clock_time_millis_training
653.4149646759033
wall_clock_time_millis_training
656.7690372467041
wall_clock_time_millis_training
653.7456512451172
wall_clock_time_millis_training
653.2537937164307
wall_clock_time_millis_training
652.9905796051025
wall_clock_time_millis_training
653.6130905151367