10401388
1
Jan van Rijn
9954
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8239157
C
9.39658116328396
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.000553568354301396
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
5974
16360
shrinking
false
16360
tol
0.0002468992318770614
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
21724561
description
https://api.openml.org/data/download/21724561/description.xml
-1
21724562
predictions
https://api.openml.org/data/download/21724562/predictions.arff
area_under_roc_curve
0.596906565656566 [0.554293,0.617109,0.624369,0.624369,0.622475,0.620581,0.624053,0.619318,0.560922,0.625,0.58649,0.620581,0.621843,0.561553,0.623422,0.620581,0.625,0.520202,0.578598,0.557449,0.530934,0.53125,0.588068,0.622159,0.5625,0.498106,0.555871,0.590278,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.619003,0.553977,0.621212,0.623737,0.586806,0.618056,0.624369,0.621843,0.589646,0.622475,0.622475,0.621212,0.618371,0.585859,0.559659,0.589331,0.619318,0.591225,0.620265,0.527146,0.624684,0.586806,0.584912,0.621528,0.62279,0.592803,0.618371,0.56029,0.619003,0.586806,0.554924,0.623737,0.590278,0.585859,0.593119,0.592803,0.619318,0.592487,0.557134,0.620581,0.621528,0.620896,0.623737,0.62279,0.529356,0.590909,0.620581,0.590593,0.621212,0.619949,0.624369,0.557134,0.593119,0.616162,0.52904,0.624684,0.621843,0.613321,0.615215,0.623106,0.616162,0.559343,0.498106,0.621528]
average_cost
0
f_measure
0.21552577563225783 [0.090909,0.177778,0.363636,0.363636,0.285714,0.235294,0.347826,0.210526,0.173913,0.4,0.142857,0.235294,0.266667,0.190476,0.32,0.235294,0.4,0.038462,0.089552,0.117647,0.111111,0.117647,0.162162,0.275862,0.222222,0,0.102564,0.2,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.205128,0.088889,0.25,0.333333,0.146341,0.190476,0.363636,0.266667,0.1875,0.285714,0.285714,0.25,0.195122,0.136364,0.148148,0.181818,0.210526,0.222222,0.228571,0.066667,0.380952,0.146341,0.12766,0.258065,0.296296,0.272727,0.195122,0.16,0.205128,0.146341,0.095238,0.333333,0.2,0.136364,0.285714,0.272727,0.210526,0.26087,0.114286,0.235294,0.258065,0.242424,0.333333,0.296296,0.086957,0.214286,0.235294,0.206897,0.25,0.222222,0.363636,0.114286,0.285714,0.166667,0.083333,0.380952,0.266667,0.140351,0.156863,0.307692,0.166667,0.142857,0,0.258065]
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
0.308819032523167 [0.071429,0.137931,0.666667,0.666667,0.333333,0.222222,0.571429,0.181818,0.285714,1,0.115385,0.222222,0.285714,0.4,0.444444,0.222222,1,0.027778,0.058824,0.111111,0.5,1,0.142857,0.307692,1,0,0.086957,0.214286,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.173913,0.068966,0.25,0.5,0.12,0.153846,0.666667,0.285714,0.1875,0.333333,0.333333,0.25,0.16,0.107143,0.181818,0.176471,0.181818,0.272727,0.210526,0.071429,0.8,0.12,0.096774,0.266667,0.363636,0.5,0.16,0.222222,0.173913,0.12,0.076923,0.5,0.214286,0.107143,0.6,0.5,0.181818,0.428571,0.105263,0.222222,0.266667,0.235294,0.5,0.363636,0.142857,0.25,0.222222,0.230769,0.25,0.2,0.666667,0.105263,0.6,0.125,0.125,0.8,0.285714,0.097561,0.114286,0.4,0.125,0.166667,0,0.266667]
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
0.5943396226415092 [0.481132,0.5,0.5,1,0.5,0.984277,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.977987,0.496855,0.5,0.974843,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.987421,0.990566,0.5,0.971698,0.987421,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.993711,0.490566,0.5,0.965409,0.493711,0.5,0.993711,0.993711,0.5,0.5,0.984277,0.5,0.5,0.993711,0.990566,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.990566]
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
0.5911949685534588 [0.5,0.987421,0.5,0.5,0.990566,0.5,0.996855,0.5,0.496855,0.5,0.5,0.5,0.996855,0.496855,0.993711,0.5,0.5,0.5,0.930818,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.990566,0.5,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.987421,0.996855,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.490566,0.5,0.5,0.996855,0.5,0.5,0.987421,0.5,0.5,0.971698,0.996855,0.5,0.5,0.471698,0.5,0.5,0.5,0.5,0.5,0.987421,0.996855,0.5,0.996855,0.5,0.5,0.5,0.993711,0.493711,0.5,0.5,0.5,0.987421,0.993711,0.996855,0.987421,0.5,0.5,0.493711,0.5,0.981132,0.974843,0.5,0.996855,0.5,0.984277,0.5,0.5]
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
712.6922810002725
usercpu_time_millis
713.2441490000474
usercpu_time_millis
713.3075100000497
usercpu_time_millis
715.2523190000011
usercpu_time_millis
713.5352740001508
usercpu_time_millis
714.640294999981
usercpu_time_millis
714.8085349999747
usercpu_time_millis
715.0290810000115
usercpu_time_millis
716.2354310003138
usercpu_time_millis
716.3979050001217
usercpu_time_millis_testing
63.373498000146355
usercpu_time_millis_testing
62.867562000064936
usercpu_time_millis_testing
62.94777099992643
usercpu_time_millis_testing
63.05303899989667
usercpu_time_millis_testing
62.74355000005016
usercpu_time_millis_testing
62.79165199998715
usercpu_time_millis_testing
62.93030500000896
usercpu_time_millis_testing
62.77341800000613
usercpu_time_millis_testing
62.78882300011901
usercpu_time_millis_testing
63.066265000088606
usercpu_time_millis_training
649.3187830001261
usercpu_time_millis_training
650.3765869999825
usercpu_time_millis_training
650.3597390001232
usercpu_time_millis_training
652.1992800001044
usercpu_time_millis_training
650.7917240001007
usercpu_time_millis_training
651.8486429999939
usercpu_time_millis_training
651.8782299999657
usercpu_time_millis_training
652.2556630000054
usercpu_time_millis_training
653.4466080001948
usercpu_time_millis_training
653.3316400000331
wall_clock_time_millis
712.7444744110107
wall_clock_time_millis
713.2818698883057
wall_clock_time_millis
713.3655548095703
wall_clock_time_millis
715.3046131134033
wall_clock_time_millis
713.5739326477051
wall_clock_time_millis
714.6763801574707
wall_clock_time_millis
714.8454189300537
wall_clock_time_millis
715.0661945343018
wall_clock_time_millis
716.2809371948242
wall_clock_time_millis
716.4359092712402
wall_clock_time_millis_testing
63.3854866027832
wall_clock_time_millis_testing
62.87741661071777
wall_clock_time_millis_testing
62.9575252532959
wall_clock_time_millis_testing
63.062429428100586
wall_clock_time_millis_testing
62.75320053100586
wall_clock_time_millis_testing
62.80088424682617
wall_clock_time_millis_testing
62.940120697021484
wall_clock_time_millis_testing
62.783002853393555
wall_clock_time_millis_testing
62.79873847961426
wall_clock_time_millis_testing
63.07649612426758
wall_clock_time_millis_training
649.3589878082275
wall_clock_time_millis_training
650.4044532775879
wall_clock_time_millis_training
650.4080295562744
wall_clock_time_millis_training
652.2421836853027
wall_clock_time_millis_training
650.8207321166992
wall_clock_time_millis_training
651.8754959106445
wall_clock_time_millis_training
651.9052982330322
wall_clock_time_millis_training
652.2831916809082
wall_clock_time_millis_training
653.48219871521
wall_clock_time_millis_training
653.3594131469727