10410077
1
Jan van Rijn
9954
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8247841
C
0.03801594490067017
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.45901330819443675
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
7.88539208227925e-05
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
47603
16360
shrinking
false
16360
tol
0.007873864282642869
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
21741947
description
https://api.openml.org/data/download/21741947/description.xml
-1
21741948
predictions
https://api.openml.org/data/download/21741948/predictions.arff
area_under_roc_curve
0.5969065656565656 [0.554609,0.617109,0.624369,0.624369,0.622475,0.620896,0.624053,0.619318,0.560922,0.625,0.58649,0.620581,0.621843,0.561553,0.623106,0.620265,0.625,0.551452,0.578283,0.557449,0.530934,0.53125,0.587437,0.622159,0.5625,0.498106,0.555871,0.590278,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.619003,0.553977,0.621212,0.623737,0.58649,0.618056,0.624369,0.621843,0.590278,0.622475,0.622475,0.620896,0.61774,0.585859,0.559659,0.589331,0.619003,0.591225,0.620265,0.527146,0.624684,0.587121,0.584912,0.621528,0.62279,0.592803,0.618371,0.56029,0.619003,0.587121,0.55524,0.623737,0.590593,0.585859,0.593119,0.592803,0.619318,0.592487,0.557134,0.620265,0.621843,0.620896,0.623737,0.62279,0.529356,0.590909,0.620581,0.590593,0.621212,0.619949,0.624684,0.557449,0.592803,0.616162,0.52904,0.624684,0.621843,0.613005,0.615215,0.623106,0.616477,0.559343,0.498422,0.590278]
average_cost
0
f_measure
0.21526303105832598 [0.093023,0.177778,0.363636,0.363636,0.285714,0.242424,0.347826,0.210526,0.173913,0.4,0.142857,0.235294,0.266667,0.190476,0.307692,0.228571,0.4,0.075472,0.088235,0.117647,0.111111,0.117647,0.153846,0.275862,0.222222,0,0.102564,0.2,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.205128,0.088889,0.25,0.333333,0.142857,0.190476,0.363636,0.266667,0.2,0.285714,0.285714,0.242424,0.186047,0.136364,0.148148,0.181818,0.205128,0.222222,0.228571,0.066667,0.380952,0.15,0.12766,0.258065,0.296296,0.272727,0.195122,0.16,0.205128,0.15,0.097561,0.333333,0.206897,0.136364,0.285714,0.272727,0.210526,0.26087,0.114286,0.228571,0.266667,0.242424,0.333333,0.296296,0.086957,0.214286,0.235294,0.206897,0.25,0.222222,0.380952,0.117647,0.272727,0.166667,0.083333,0.380952,0.266667,0.137931,0.156863,0.307692,0.170213,0.142857,0,0.2]
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
0.3086733231498075 [0.074074,0.137931,0.666667,0.666667,0.333333,0.235294,0.571429,0.181818,0.285714,1,0.115385,0.222222,0.285714,0.4,0.4,0.210526,1,0.054054,0.057692,0.111111,0.5,1,0.130435,0.307692,1,0,0.086957,0.214286,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.173913,0.068966,0.25,0.5,0.115385,0.153846,0.666667,0.285714,0.214286,0.333333,0.333333,0.235294,0.148148,0.107143,0.181818,0.176471,0.173913,0.272727,0.210526,0.071429,0.8,0.125,0.096774,0.266667,0.363636,0.5,0.16,0.222222,0.173913,0.125,0.08,0.5,0.230769,0.107143,0.6,0.5,0.181818,0.428571,0.105263,0.210526,0.285714,0.235294,0.5,0.363636,0.142857,0.25,0.222222,0.230769,0.25,0.2,0.8,0.111111,0.5,0.125,0.125,0.8,0.285714,0.095238,0.114286,0.4,0.129032,0.166667,0,0.214286]
predictive_accuracy
0.201875
prior_entropy
6.643856189774611
recall
0.201875 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.125,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.1875,0.125,0.25,0.25,0.25,0.25,0.25,0.0625,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.1875,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0,0.1875]
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 [0.481132,0.5,0.5,1,0.5,0.987421,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.977987,0.496855,0.5,0.974843,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.987421,0.990566,0.5,0.968553,0.987421,0.5,0.5,0.5,0.5,0.993711,0.990566,0.5,0.5,0.5,0.5,0.984277,0.5,0.993711,0.490566,0.5,0.968553,0.493711,0.5,0.993711,0.993711,0.5,0.5,0.984277,0.5,0.5,0.993711,0.993711,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.990566]
area_under_roc_curve
0.6037735849056601 [0.965409,0.5,0.5,1,0.5,0.993711,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,1,0.5,0.477987,0.993711,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.993711,0.984277,0.990566,0.5,0.981132,0.981132,0.5,0.5,0.5,0.5,1,0.987421,0.5,0.5,0.5,0.5,0.974843,0.5,0.996855,0.487421,0.5,0.971698,0.987421,0.5,0.996855,0.996855,0.5,0.5,0.990566,0.5,0.5,0.996855,0.490566,0.987421,0.5,0.996855,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.990566,0.5,0.5,0.5,0.5,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.487421]
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 [0.5,0.987421,0.5,0.5,0.990566,0.5,0.996855,0.5,0.496855,0.5,0.5,0.5,0.996855,0.496855,0.990566,0.5,0.5,0.5,0.930818,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.990566,0.5,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.993711,0.996855,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.490566,0.5,0.5,0.996855,0.5,0.5,0.987421,0.5,0.5,0.971698,0.996855,0.5,0.5,0.471698,0.5,0.5,0.5,0.5,0.5,0.987421,0.996855,0.5,0.993711,0.5,0.5,0.5,0.993711,0.493711,0.5,0.5,0.5,0.987421,0.993711,1,0.987421,0.5,0.5,0.493711,0.5,0.981132,0.971698,0.5,0.996855,0.5,0.984277,0.5,0.5]
area_under_roc_curve
0.6037735849056601 [0.5,0.987421,0.5,0.5,0.993711,0.5,0.996855,0.5,1,0.5,0.5,0.5,0.990566,0.493711,0.996855,0.5,0.5,0.5,0.943396,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,1,0.5,0.993711,1,0.5,0.5,0.95283,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.987421,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.993711,0.5,0.5,0.977987,0.993711,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.990566,0.490566,0.5,0.990566,0.5,0.5,0.5,0.993711,0.496855,0.5,0.5,0.5,0.990566,0.981132,1,0.990566,0.5,0.5,0.490566,0.5,0.993711,0.984277,0.5,0.996855,0.5,0.990566,0.496855,0.5]
area_under_roc_curve
0.5943396226415094 [0.5,0.974843,1,0.5,0.996855,0.5,0.5,0.5,0.993711,0.5,0.987421,0.984277,0.5,1,0.996855,0.5,1,0.974843,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.468553,0.5,0.993711,0.5,0.5,0.5,0.990566,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.977987,0.987421,0.490566,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.990566,0.5,0.5,0.971698,0.493711,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.984277,0.993711,0.990566,1,0.996855,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,1,0.5,0.5,0.959119,0.981132,0.5,0.5,0.496855,0.5,0.5]
area_under_roc_curve
0.5974842767295595 [0.5,0.971698,1,0.5,0.993711,0.5,0.5,0.5,0.493711,0.5,0.484277,0.990566,0.5,1,0.996855,0.5,1,0.959119,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.990566,0.5,0.5,1,0.990566,0.990566,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.984277,0.484277,0.981132,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.993711,0.5,0.5,0.471698,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.984277,0.987421,0.981132,1,0.993711,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.487421,1,0.5,0.493711,0.5,0.5,0.965409,0.977987,0.5,0.5,0.496855,0.5,0.5]
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
0.5974842767295594 [0.996855,0.5,0.993711,0.5,0.5,0.990566,0.5,0.981132,0.5,1,0.981132,1,0.5,0.5,0.5,0.977987,1,0.474843,0.5,0.496855,0.5,0.5,0.990566,0.5,0.5,0.493711,0.484277,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.974843,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.996855,0.5,0.996855,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.993711,0.5,0.5,0.493711,0.984277,0.493711,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.977987,0.5,0.968553,0.5,0.5,0.990566]
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
0.20754716981132074
kappa
0.1949685534591195
kappa
0.21383647798742136
kappa
0.18238993710691823
kappa
0.20754716981132074
kappa
0.18867924528301885
kappa
0.1949685534591195
kappa
0.1949685534591195
kappa
0.1949685534591195
kb_relative_information_score
0.19199043782213684
kb_relative_information_score
0.21078135787278487
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
0.19825407783901955
kb_relative_information_score
0.19825407783901952
kb_relative_information_score
0.19825407783901952
mean_absolute_error
0.01612500000000001
mean_absolute_error
0.01575000000000001
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
0.01600000000000001
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
0.2125
predictive_accuracy
0.2
predictive_accuracy
0.21875
predictive_accuracy
0.1875
predictive_accuracy
0.2125
predictive_accuracy
0.19375
predictive_accuracy
0.2
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
0.2125 [1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0]
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
0.2 [0,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0]
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
0.7954545454545446
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
0.8080808080808072
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
0.12549900398011138
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
0.12649110640673522
root_mean_squared_error
0.12649110640673522
root_mean_squared_error
0.12649110640673522
root_relative_squared_error
1.2762397418933003
root_relative_squared_error
1.2613124477737823
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
1.271283452327456
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
675.703354999996
usercpu_time_millis
671.3266000001568
usercpu_time_millis
672.8741970000556
usercpu_time_millis
673.4844899999644
usercpu_time_millis
673.5110630002055
usercpu_time_millis
670.0827249999293
usercpu_time_millis
676.7062060000626
usercpu_time_millis
674.4127730000855
usercpu_time_millis
672.3414589998811
usercpu_time_millis
673.5866809999607
usercpu_time_millis_testing
63.153920999866386
usercpu_time_millis_testing
62.40173800006232
usercpu_time_millis_testing
62.43301800009249
usercpu_time_millis_testing
63.17085599994243
usercpu_time_millis_testing
62.87757700010843
usercpu_time_millis_testing
62.469577000001664
usercpu_time_millis_testing
62.64192300000104
usercpu_time_millis_testing
63.00117399996452
usercpu_time_millis_testing
62.628508999978294
usercpu_time_millis_testing
63.24337099999866
usercpu_time_millis_training
612.5494340001296
usercpu_time_millis_training
608.9248620000944
usercpu_time_millis_training
610.4411789999631
usercpu_time_millis_training
610.3136340000219
usercpu_time_millis_training
610.633486000097
usercpu_time_millis_training
607.6131479999276
usercpu_time_millis_training
614.0642830000616
usercpu_time_millis_training
611.411599000121
usercpu_time_millis_training
609.7129499999028
usercpu_time_millis_training
610.343309999962
wall_clock_time_millis
675.745964050293
wall_clock_time_millis
671.959400177002
wall_clock_time_millis
672.884464263916
wall_clock_time_millis
673.5115051269531
wall_clock_time_millis
674.1414070129395
wall_clock_time_millis
670.0961589813232
wall_clock_time_millis
676.734447479248
wall_clock_time_millis
675.0426292419434
wall_clock_time_millis
672.3551750183105
wall_clock_time_millis
673.607349395752
wall_clock_time_millis_testing
63.163042068481445
wall_clock_time_millis_testing
62.41035461425781
wall_clock_time_millis_testing
62.441349029541016
wall_clock_time_millis_testing
63.17925453186035
wall_clock_time_millis_testing
62.88504600524902
wall_clock_time_millis_testing
62.477827072143555
wall_clock_time_millis_testing
62.65401840209961
wall_clock_time_millis_testing
63.00950050354004
wall_clock_time_millis_testing
62.6378059387207
wall_clock_time_millis_testing
63.25221061706543
wall_clock_time_millis_training
612.5829219818115
wall_clock_time_millis_training
609.5490455627441
wall_clock_time_millis_training
610.443115234375
wall_clock_time_millis_training
610.3322505950928
wall_clock_time_millis_training
611.2563610076904
wall_clock_time_millis_training
607.6183319091797
wall_clock_time_millis_training
614.0804290771484
wall_clock_time_millis_training
612.0331287384033
wall_clock_time_millis_training
609.7173690795898
wall_clock_time_millis_training
610.3551387786865