OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2065 Supervised Classification primary-tumor 543 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

543 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.3648, kappa: 0.3154, kb_relative_information_score: 100.385, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3437, predictive_accuracy: 0.413, prior_entropy: 3.7542, recall: 0.413, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.4503, kappa: 0.4277, kb_relative_information_score: 133.9743, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4219, predictive_accuracy: 0.4956, prior_entropy: 3.7542, recall: 0.4956, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.2743, kappa: 0.2249, kb_relative_information_score: 67.2716, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2418, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.4283, kappa: 0.3962, kb_relative_information_score: 78.134, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4178, predictive_accuracy: 0.4661, prior_entropy: 3.7542, recall: 0.4661, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.3856, kappa: 0.3331, kb_relative_information_score: 115.572, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3752, predictive_accuracy: 0.41, prior_entropy: 3.7542, recall: 0.41, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.4356, kappa: 0.412, kb_relative_information_score: 126.0219, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4088, predictive_accuracy: 0.4867, prior_entropy: 3.7542, recall: 0.4867, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.3734, kappa: 0.3275, kb_relative_information_score: 112.3037, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3639, predictive_accuracy: 0.41, prior_entropy: 3.7542, recall: 0.41, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.426, kappa: 0.3989, kb_relative_information_score: 128.7522, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4059, predictive_accuracy: 0.4749, prior_entropy: 3.7542, recall: 0.4749, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.4139, kappa: 0.3844, kb_relative_information_score: 120.8251, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4081, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.4376, kappa: 0.4048, kb_relative_information_score: 25.9982, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4249, predictive_accuracy: 0.4808, prior_entropy: 3.7542, recall: 0.4808, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.4154, kappa: 0.369, kb_relative_information_score: 116.6709, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3959, predictive_accuracy: 0.4425, prior_entropy: 3.7542, recall: 0.4425, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.3161, kappa: 0.2889, kb_relative_information_score: 88.0831, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3467, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.0984, kb_relative_information_score: 0.3006, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2012, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.3922, kappa: 0.3556, kb_relative_information_score: 124.4665, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3599, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.4376, kappa: 0.4083, kb_relative_information_score: 126.697, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4161, predictive_accuracy: 0.4808, prior_entropy: 3.7542, recall: 0.4808, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.4219, kappa: 0.3934, kb_relative_information_score: 124.4317, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3966, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.4472, kappa: 0.4218, kb_relative_information_score: 135.1313, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4205, predictive_accuracy: 0.4897, prior_entropy: 3.7542, recall: 0.4897, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.4264, kappa: 0.3943, kb_relative_information_score: 128.5922, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.178, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.4112, kappa: 0.3728, kb_relative_information_score: 28.1618, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3851, predictive_accuracy: 0.4602, prior_entropy: 3.7542, recall: 0.4602, relative_absolute_error: 1.0292, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2023, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.4385, kappa: 0.3976, kb_relative_information_score: 20.9663, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4177, predictive_accuracy: 0.4749, prior_entropy: 3.7542, recall: 0.4749, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2033, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.4188, kappa: 0.3912, kb_relative_information_score: 120.8937, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3958, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.4097, kappa: 0.3703, kb_relative_information_score: 27.4524, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3879, predictive_accuracy: 0.4572, prior_entropy: 3.7542, recall: 0.4572, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.4062, kappa: 0.3673, kb_relative_information_score: 27.4824, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3947, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.3913, kappa: 0.3479, kb_relative_information_score: 111.7591, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3694, predictive_accuracy: 0.4307, prior_entropy: 3.7542, recall: 0.4307, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.4264, kappa: 0.3943, kb_relative_information_score: 128.5922, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.178, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.4009, kappa: 0.3367, kb_relative_information_score: 117.1979, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3917, predictive_accuracy: 0.413, prior_entropy: 3.7542, recall: 0.413, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2045, root_relative_squared_error: 1.0171, scimark_benchmark: 476.8135, usercpu_time_millis: 15130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 15100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.4019, kappa: 0.3333, kb_relative_information_score: 110.0447, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.405, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0405, scimark_benchmark: 473.1656, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.4038, kappa: 0.339, kb_relative_information_score: 115.5822, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4126, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2036, root_relative_squared_error: 1.0125, scimark_benchmark: 1254.1389, usercpu_time_millis: 2430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.0984, kb_relative_information_score: 0.3006, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2012, root_relative_squared_error: 1.0004, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4187, kappa: 0.3707, kb_relative_information_score: 117.0588, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3999, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.895, scimark_benchmark: 851.2074, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 904.6764, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 931.771, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 938.5498, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 936.3373, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 943.1009, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 859.5223, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 906.0979, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 936.3213, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 917.5013, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.4158, kappa: 0.3779, kb_relative_information_score: 115.8616, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3914, predictive_accuracy: 0.4572, prior_entropy: 3.7542, recall: 0.4572, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.8911, scimark_benchmark: 819.5729, usercpu_time_millis: 6100, usercpu_time_millis_testing: 2620, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4058, kappa: 0.3666, kb_relative_information_score: 115.7327, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3831, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.8946, scimark_benchmark: 935.5664, usercpu_time_millis: 2090, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.3872, kappa: 0.3445, kb_relative_information_score: 114.4463, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3622, predictive_accuracy: 0.4277, prior_entropy: 3.7542, recall: 0.4277, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.8982, scimark_benchmark: 945.0448, usercpu_time_millis: 880, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.4164, kappa: 0.382, kb_relative_information_score: 115.9792, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3925, predictive_accuracy: 0.4631, prior_entropy: 3.7542, recall: 0.4631, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8956, scimark_benchmark: 930.5033, usercpu_time_millis: 420, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.404, kappa: 0.3643, kb_relative_information_score: 115.5777, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3759, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.9044, scimark_benchmark: 936.7184, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.0984, kb_relative_information_score: 0.3006, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2012, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0984, kb_relative_information_score: 40.1263, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2615, root_relative_squared_error: 1.3005, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.4113, kappa: 0.397, kb_relative_information_score: 99.9099, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3819, predictive_accuracy: 0.4867, prior_entropy: 3.7542, recall: 0.4867, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.8866, scimark_benchmark: 906.0884, usercpu_time_millis: 490, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.426, kappa: 0.3789, kb_relative_information_score: 89.582, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.413, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.9194, scimark_benchmark: 935.6052, usercpu_time_millis: 1800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.17, kappa: 0.1196, kb_relative_information_score: 44.4081, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1289, predictive_accuracy: 0.2832, prior_entropy: 3.7542, recall: 0.2832, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.194, root_relative_squared_error: 0.9649, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4187, kappa: 0.3707, kb_relative_information_score: 117.0588, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3999, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.895, scimark_benchmark: 934.929, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 949.7766, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 935.627, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 942.3809, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 942.3809, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 915.9028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 1346.6261, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 1325.7874, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1362.9924,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs