10415464
1
Jan van Rijn
9954
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8253207
C
72.78289639377016
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.9865568612658371
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
3.839087709600762e-05
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
11164
16360
shrinking
true
16360
tol
0.003904363647760561
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
21752737
description
https://api.openml.org/data/download/21752737/description.xml
-1
21752738
predictions
https://api.openml.org/data/download/21752738/predictions.arff
area_under_roc_curve
0.5975378787878791 [0.552399,0.61774,0.624684,0.624053,0.622159,0.620581,0.624053,0.619003,0.561237,0.625,0.586174,0.619949,0.623422,0.561553,0.623737,0.621843,0.625,0.551452,0.578914,0.556818,0.530934,0.53125,0.587437,0.622159,0.5625,0.498422,0.555871,0.590909,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.618687,0.553977,0.621212,0.623737,0.586174,0.617109,0.624369,0.621528,0.589646,0.622475,0.622475,0.621528,0.619003,0.585543,0.56029,0.589646,0.620265,0.590593,0.620265,0.527778,0.624684,0.618371,0.585859,0.621528,0.622475,0.592803,0.618371,0.559659,0.619003,0.586806,0.555871,0.623737,0.590909,0.586174,0.593119,0.592803,0.619003,0.561869,0.556187,0.620265,0.621843,0.621212,0.623737,0.59154,0.559975,0.590909,0.621528,0.589962,0.620896,0.619949,0.624684,0.557449,0.624369,0.617109,0.528725,0.624684,0.622159,0.612058,0.615215,0.623106,0.614899,0.590278,0.49779,0.590278]
average_cost
0
f_measure
0.21760198522598073 [0.08,0.186047,0.380952,0.347826,0.275862,0.235294,0.347826,0.205128,0.181818,0.4,0.139535,0.222222,0.32,0.190476,0.333333,0.266667,0.4,0.075472,0.090909,0.111111,0.111111,0.117647,0.153846,0.275862,0.222222,0,0.102564,0.214286,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.2,0.088889,0.25,0.333333,0.139535,0.177778,0.363636,0.258065,0.1875,0.285714,0.285714,0.258065,0.205128,0.133333,0.16,0.1875,0.228571,0.206897,0.228571,0.071429,0.380952,0.195122,0.136364,0.258065,0.285714,0.272727,0.195122,0.148148,0.205128,0.146341,0.102564,0.333333,0.214286,0.139535,0.285714,0.272727,0.205128,0.2,0.105263,0.228571,0.266667,0.25,0.333333,0.230769,0.153846,0.214286,0.258065,0.193548,0.242424,0.222222,0.380952,0.117647,0.363636,0.177778,0.08,0.380952,0.275862,0.131148,0.156863,0.307692,0.153846,0.2,0,0.2]
kappa
0.19507575757575757
kb_relative_information_score
0.20138589784746622
mean_absolute_error
0.015937499999999716
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
0.3154110009274148 [0.058824,0.148148,0.8,0.571429,0.307692,0.222222,0.571429,0.173913,0.333333,1,0.111111,0.2,0.444444,0.4,0.5,0.285714,1,0.054054,0.06,0.1,0.5,1,0.130435,0.307692,1,0,0.086957,0.25,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.166667,0.068966,0.25,0.5,0.111111,0.137931,0.666667,0.266667,0.1875,0.333333,0.333333,0.266667,0.173913,0.103448,0.222222,0.1875,0.210526,0.230769,0.210526,0.083333,0.8,0.16,0.107143,0.266667,0.333333,0.5,0.16,0.181818,0.173913,0.12,0.086957,0.5,0.25,0.111111,0.6,0.5,0.173913,0.5,0.090909,0.210526,0.285714,0.25,0.5,0.3,0.2,0.25,0.266667,0.2,0.235294,0.2,0.8,0.111111,0.666667,0.137931,0.111111,0.8,0.307692,0.088889,0.114286,0.4,0.111111,0.214286,0,0.214286]
predictive_accuracy
0.203125
prior_entropy
6.643856189774611
recall
0.203125 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.125,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.25,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.125,0.125,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.25,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.1875,0,0.1875]
relative_absolute_error
0.8049242424242266
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.12624381172952484
root_relative_squared_error
1.2687980473063682
total_cost
0
area_under_roc_curve
0.5943396226415092 [0.474843,0.5,0.5,1,0.5,0.984277,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.977987,0.496855,0.5,0.977987,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.984277,0.990566,0.5,0.968553,0.981132,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.990566,0.5,0.993711,0.493711,0.5,0.971698,0.496855,0.5,0.993711,0.993711,0.5,0.5,0.987421,0.5,0.5,0.993711,0.990566,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.990566,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.981132,0.5,0.5,0.990566]
area_under_roc_curve
0.6037735849056602 [0.962264,0.5,0.5,1,0.5,0.993711,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,1,0.5,0.474843,0.993711,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.990566,0.984277,0.990566,0.5,0.981132,0.981132,0.5,0.5,0.5,0.5,1,0.990566,0.5,0.5,0.5,0.5,0.981132,0.5,0.996855,0.490566,0.5,0.971698,0.990566,0.5,0.993711,0.996855,0.5,0.5,0.987421,0.5,0.5,0.996855,0.493711,0.987421,0.5,0.996855,0.5,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.987421,0.5,0.5,0.5,0.5,0.5,0.984277,0.5,1,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.487421]
area_under_roc_curve
0.5974842767295594 [0.5,0.5,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,0.5,0.5,0.990566,1,0.5,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.5,0.962264,0.996855,0.971698,0.471698,0.990566,0.5,0.5,0.984277,1,0.974843,0.5,0.993711,0.5,0.990566,0.5,0.5,0.5,0.993711,0.990566,0.5,0.981132,0.5,1,0.5,0.962264,0.5,0.996855,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.981132,0.5,0.981132,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.5,0.5,0.996855,0.990566,0.996855,0.5,0.5,0.981132,0.5,0.996855,1,0.5,0.5,1,0.5,0.5,0.493711,0.5]
area_under_roc_curve
0.6069182389937104 [0.5,0.5,0.5,0.996855,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.993711,0.5,0.5,0.5,0.987421,0.5,0.5,0.996855,0.5,0.5,0.5,0.981132,0.993711,0.977987,0.474843,0.990566,0.5,0.5,0.974843,0.996855,0.993711,0.5,0.987421,0.5,0.990566,0.5,0.5,0.5,0.987421,0.990566,0.5,0.981132,0.5,1,0.5,0.971698,0.5,0.990566,1,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.984277,0.5,0.984277,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.984277,1,0.5,0.5,0.968553,0.5,1,0.993711,0.5,0.5,0.990566,0.5,0.5,0.490566,0.5]
area_under_roc_curve
0.5943396226415092 [0.5,0.984277,0.5,0.5,0.990566,0.5,0.996855,0.5,0.496855,0.5,0.5,0.5,1,0.496855,0.993711,0.5,0.5,0.5,0.930818,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.5,0.990566,0.5,0.5,0.5,0.955975,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.987421,0.996855,0.5,0.5,0.5,0.5,0.5,0.493711,0.5,0.490566,0.5,0.5,0.996855,0.5,0.5,0.987421,0.5,0.5,0.971698,0.996855,0.5,0.5,0.474843,0.5,0.5,0.5,0.5,0.5,0.984277,1,0.5,0.993711,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.987421,0.993711,1,0.990566,0.5,0.5,0.493711,0.5,0.984277,0.971698,0.5,0.993711,0.5,0.987421,0.5,0.5]
area_under_roc_curve
0.6006289308176098 [0.5,0.990566,0.5,0.5,0.990566,0.5,0.996855,0.5,1,0.5,0.5,0.5,1,0.493711,0.996855,0.5,0.5,0.5,0.949686,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,1,0.5,0.993711,1,0.5,0.5,0.95283,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.987421,0.996855,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.993711,0.5,0.5,0.977987,0.993711,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.990566,0.493711,0.5,0.990566,0.5,0.5,0.5,0.493711,0.496855,0.5,0.5,0.5,0.987421,0.981132,1,0.990566,0.5,0.5,0.487421,0.5,0.993711,0.974843,0.5,0.996855,0.5,0.987421,0.493711,0.5]
area_under_roc_curve
0.6006289308176099 [0.5,0.977987,1,0.5,0.996855,0.5,0.5,0.5,0.993711,0.5,0.987421,0.981132,0.5,1,1,0.5,1,0.971698,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.465409,0.5,0.993711,0.5,0.5,0.5,0.990566,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.977987,0.987421,0.490566,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.990566,0.5,0.5,0.971698,0.496855,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.984277,0.993711,0.993711,1,0.996855,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,1,0.5,1,0.5,0.5,0.959119,0.981132,0.5,0.5,0.996855,0.5,0.5]
area_under_roc_curve
0.5943396226415093 [0.5,0.974843,1,0.5,0.993711,0.5,0.5,0.5,0.496855,0.5,0.481132,0.990566,0.5,1,0.996855,0.5,1,0.959119,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.990566,0.5,0.5,1,0.990566,0.990566,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.987421,0.481132,0.987421,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.993711,0.5,0.5,0.468553,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.984277,0.987421,0.981132,1,0.993711,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,1,0.5,0.493711,0.5,0.5,0.965409,0.977987,0.5,0.5,0.493711,0.5,0.5]
area_under_roc_curve
0.6006289308176098 [0.471698,0.5,1,0.5,0.5,0.987421,0.5,0.987421,0.5,1,0.974843,0.981132,0.5,0.5,0.5,0.990566,1,0.481132,0.5,0.484277,0.5,0.5,0.993711,0.5,0.5,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.493711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.990566,0.971698,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,1,0.5,0.981132,0.996855,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.993711,0.5,0.5,0.993711,0.993711,0.990566,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.965409,0.5,0.968553,0.5,0.5,0.996855]
area_under_roc_curve
0.5974842767295594 [0.990566,0.5,0.996855,0.5,0.5,0.990566,0.5,0.981132,0.5,1,0.981132,0.996855,0.5,0.5,0.5,0.984277,1,0.477987,0.5,0.493711,0.5,0.5,0.990566,0.5,0.5,0.493711,0.484277,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.977987,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.996855,0.5,0.996855,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.993711,0.5,0.5,0.493711,0.987421,0.493711,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.977987,0.5,0.962264,0.5,0.5,0.990566]
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
0.18867924528301885
kappa
0.2012578616352201
kappa
0.2012578616352201
kappa
0.18867924528301885
kappa
0.2012578616352201
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
0.19199043782213684
kb_relative_information_score
0.20451771785590217
kb_relative_information_score
0.20451771785590217
kb_relative_information_score
0.1919904378221369
kb_relative_information_score
0.20451771785590217
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
0.01612500000000001
mean_absolute_error
0.01587500000000001
mean_absolute_error
0.01587500000000001
mean_absolute_error
0.01612500000000001
mean_absolute_error
0.01587500000000001
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
0.19375
predictive_accuracy
0.20625
predictive_accuracy
0.20625
predictive_accuracy
0.19375
predictive_accuracy
0.20625
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
0.19375 [0,1,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,1,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0]
recall
0.20625 [0,1,0,0,1,0,1,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0]
recall
0.20625 [0,1,1,0,1,0,0,0,1,0,1,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,1,0,0]
recall
0.19375 [0,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0]
recall
0.20625 [0,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1]
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
0.8143939393939387
relative_absolute_error
0.801767676767676
relative_absolute_error
0.801767676767676
relative_absolute_error
0.8143939393939387
relative_absolute_error
0.801767676767676
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
0.12698425099200297
root_mean_squared_error
0.12599603168354157
root_mean_squared_error
0.12599603168354157
root_mean_squared_error
0.12698425099200297
root_mean_squared_error
0.12599603168354157
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
1.2762397418933003
root_relative_squared_error
1.26630776414557
root_relative_squared_error
1.26630776414557
root_relative_squared_error
1.2762397418933003
root_relative_squared_error
1.26630776414557
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
719.7744690001855
usercpu_time_millis
720.3027550003753
usercpu_time_millis
719.92071700015
usercpu_time_millis
718.5736569995242
usercpu_time_millis
717.7851440005725
usercpu_time_millis
718.4878899997784
usercpu_time_millis
720.5943089998073
usercpu_time_millis
717.9907720001211
usercpu_time_millis
721.7954610000561
usercpu_time_millis
720.8207730004688
usercpu_time_millis_testing
64.56958600028884
usercpu_time_millis_testing
64.43801500017798
usercpu_time_millis_testing
64.72139600009541
usercpu_time_millis_testing
65.21736699960456
usercpu_time_millis_testing
65.03909800039764
usercpu_time_millis_testing
65.08415400003287
usercpu_time_millis_testing
65.1193069998044
usercpu_time_millis_testing
64.47432400000253
usercpu_time_millis_testing
65.04618400003892
usercpu_time_millis_testing
64.7349280002345
usercpu_time_millis_training
655.2048829998967
usercpu_time_millis_training
655.8647400001973
usercpu_time_millis_training
655.1993210000546
usercpu_time_millis_training
653.3562899999197
usercpu_time_millis_training
652.7460460001748
usercpu_time_millis_training
653.4037359997455
usercpu_time_millis_training
655.4750020000029
usercpu_time_millis_training
653.5164480001185
usercpu_time_millis_training
656.7492770000172
usercpu_time_millis_training
656.0858450002343
wall_clock_time_millis
719.7515964508057
wall_clock_time_millis
720.2877998352051
wall_clock_time_millis
719.8970317840576
wall_clock_time_millis
718.5580730438232
wall_clock_time_millis
717.7693843841553
wall_clock_time_millis
718.4646129608154
wall_clock_time_millis
720.5710411071777
wall_clock_time_millis
717.9684638977051
wall_clock_time_millis
721.7721939086914
wall_clock_time_millis
720.8058834075928
wall_clock_time_millis_testing
64.56971168518066
wall_clock_time_millis_testing
64.4381046295166
wall_clock_time_millis_testing
64.72158432006836
wall_clock_time_millis_testing
65.21725654602051
wall_clock_time_millis_testing
65.03939628601074
wall_clock_time_millis_testing
65.08421897888184
wall_clock_time_millis_testing
65.11950492858887
wall_clock_time_millis_testing
64.47458267211914
wall_clock_time_millis_testing
65.04654884338379
wall_clock_time_millis_testing
64.73588943481445
wall_clock_time_millis_training
655.181884765625
wall_clock_time_millis_training
655.8496952056885
wall_clock_time_millis_training
655.1754474639893
wall_clock_time_millis_training
653.3408164978027
wall_clock_time_millis_training
652.7299880981445
wall_clock_time_millis_training
653.3803939819336
wall_clock_time_millis_training
655.4515361785889
wall_clock_time_millis_training
653.4938812255859
wall_clock_time_millis_training
656.7256450653076
wall_clock_time_millis_training
656.0699939727783