OpenML
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7807, kappa: 0.3481, kb_relative_information_score: 45.4444, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7876, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9944, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8028, kappa: 0.448, kb_relative_information_score: 47.1782, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8281, predictive_accuracy: 0.7903, prior_entropy: 0.738, recall: 0.7903, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9662, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -1.2869, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -1.2869, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 75.1654, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.112, usercpu_time_millis: 0.497, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 110.408, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0038, usercpu_time_millis: 437.121, usercpu_time_millis_testing: 24.093, usercpu_time_millis_training: 413.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.8238, kappa: 0.4266, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8243, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923, usercpu_time_millis: 7.173, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 6.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8164, kappa: 0.4188, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8125, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7994, kappa: 0.3807, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7976, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, usercpu_time_millis: 32.413, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 32.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923, usercpu_time_millis: 16.161, usercpu_time_millis_testing: 4.441, usercpu_time_millis_training: 11.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.8242, kappa: 0.4436, kb_relative_information_score: 106.8838, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8207, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0151, usercpu_time_millis: 2.366, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 1.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.8177, kappa: 0.4352, kb_relative_information_score: 96.311, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8156, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.424, root_relative_squared_error: 1.0484, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.8211, kappa: 0.4353, kb_relative_information_score: 103.3595, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8175, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0263, usercpu_time_millis: 3.284, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 2.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 8.734, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 8.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.8132, kappa: 0.4194, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8106, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, usercpu_time_millis: 5.083, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 2.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, usercpu_time_millis: 4.217, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 2.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.8207, kappa: 0.5002, kb_relative_information_score: 85.7382, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.847, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.437, root_relative_squared_error: 1.0807, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.8146, kappa: 0.4274, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8129, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 1.071, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.8361, kappa: 0.4905, kb_relative_information_score: 113.9323, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8339, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9923, usercpu_time_millis: 1.556, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.7242, kappa: 0.0905, kb_relative_information_score: 36.3985, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7074, predictive_accuracy: 0.7566, prior_entropy: 0.738, recall: 0.7566, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.22, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.8102, kappa: 0.4028, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8062, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.8227, kappa: 0.4354, kb_relative_information_score: 106.8838, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8192, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0151, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.8258, kappa: 0.4438, kb_relative_information_score: 110.408, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8228, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0038, usercpu_time_millis: 4.062, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 2.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 82.2139, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.0912, usercpu_time_millis: 3.709, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 2.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7807, kappa: 0.3481, kb_relative_information_score: 54.0198, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7876, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1721, usercpu_time_millis: 3.323, usercpu_time_millis_testing: 1.398, usercpu_time_millis_training: 1.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.8288, kappa: 0.4443, kb_relative_information_score: 117.4566, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8292, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9807, usercpu_time_millis: 1.548, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.8337, kappa: 0.4617, kb_relative_information_score: 120.9808, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8339, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.9689, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.8386, kappa: 0.4789, kb_relative_information_score: 124.5051, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8386, predictive_accuracy: 0.8502, prior_entropy: 0.738, recall: 0.8502, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.957, usercpu_time_millis: 69.009, usercpu_time_millis_testing: 4.669, usercpu_time_millis_training: 64.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.8125, kappa: 0.3914, kb_relative_information_score: 103.3595, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8105, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0263, usercpu_time_millis: 17.694, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 16.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.8402, kappa: 0.4867, kb_relative_information_score: 124.5051, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8391, predictive_accuracy: 0.8502, prior_entropy: 0.738, recall: 0.8502, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.957, usercpu_time_millis: 41.89, usercpu_time_millis_testing: 11.729, usercpu_time_millis_training: 30.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.718, kappa: 0.0563, kb_relative_information_score: 43.447, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6983, predictive_accuracy: 0.764, prior_entropy: 0.738, recall: 0.764, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.2011, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, usercpu_time_millis: 3.074, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 2.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.7964, kappa: 0.3632, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7925, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, usercpu_time_millis: 4.183, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 2.504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8206, kappa: 0.4178, kb_relative_information_score: 38.5306, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8941, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8337, kappa: 0.4691, kb_relative_information_score: 73.1013, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8313, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8605, scimark_benchmark: 945.6228, usercpu_time_millis: 1240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8296, kappa: 0.5156, kb_relative_information_score: 54.7357, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8487, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9759, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.8159, kappa: 0.4352, kb_relative_information_score: 71.9764, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8153, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9624, scimark_benchmark: 934.695, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 53.6364, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9013, scimark_benchmark: 936.3213, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.8256, kappa: 0.4355, kb_relative_information_score: 58.0385, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8248, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.8708, scimark_benchmark: 943.6618, usercpu_time_millis: 3040, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8305, kappa: 0.4528, kb_relative_information_score: 60.3507, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8296, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.8666, scimark_benchmark: 942.2392, usercpu_time_millis: 1610, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.8256, kappa: 0.4355, kb_relative_information_score: 58.8802, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8248, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.8731, scimark_benchmark: 922.613, usercpu_time_millis: 960, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8113, kappa: 0.3923, kb_relative_information_score: 56.1869, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8077, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.8824, scimark_benchmark: 935.0213, usercpu_time_millis: 290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.8269, kappa: 0.4355, kb_relative_information_score: 66.0009, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.829, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8696, scimark_benchmark: 936.7184, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8289, kappa: 0.4599, kb_relative_information_score: 63.6497, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8256, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8725, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8289, kappa: 0.4599, kb_relative_information_score: 63.6497, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8256, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8725, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8289, kappa: 0.4599, kb_relative_information_score: 63.6497, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8256, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8725, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8289, kappa: 0.4599, kb_relative_information_score: 63.6497, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8256, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8725, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8289, kappa: 0.4599, kb_relative_information_score: 63.6497, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8256, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8725, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -1.2869, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7976, kappa: 0.3338, kb_relative_information_score: 92.0796, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7984, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.93, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7969, kappa: 0.3362, kb_relative_information_score: 90.0106, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7947, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9236, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7197, kappa: 0.0527, kb_relative_information_score: 74.1628, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7235, predictive_accuracy: 0.7903, prior_entropy: 0.738, recall: 0.7903, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.982, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7118, kappa: 0.0261, kb_relative_information_score: 61.1258, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7014, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9812, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7028, kb_relative_information_score: 64.2343, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0194, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7964, kappa: 0.3733, kb_relative_information_score: -52.5754, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7951, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 1.0368, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9536, scimark_benchmark: 845.538, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7028, kb_relative_information_score: -9.6388, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9297, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 926.4745,

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

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From your own software

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

OpenML APIs