OpenML
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3496 Supervised Classification SPECTF 535 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8612, kappa: 0.6649, kb_relative_information_score: 203.2937, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8742, predictive_accuracy: 0.8567, prior_entropy: 0.8464, recall: 0.8567, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8435, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8495, kappa: 0.6336, kb_relative_information_score: 192.6249, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8595, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8744, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9151, kappa: 0.7886, kb_relative_information_score: 196.1098, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9172, predictive_accuracy: 0.914, prior_entropy: 0.8464, recall: 0.914, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5891, scimark_benchmark: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729, scimark_benchmark: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8706, kappa: 0.6934, kb_relative_information_score: 217.4397, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8919, predictive_accuracy: 0.8653, prior_entropy: 0.8464, recall: 0.8653, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.8225, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8486, kappa: 0.6413, kb_relative_information_score: 195.4876, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8702, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8898, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7644, kappa: 0.5008, kb_relative_information_score: 103.3715, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8535, predictive_accuracy: 0.7507, prior_entropy: 0.8464, recall: 0.7507, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.0857, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 73.7015, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.1641, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.8014, kappa: 0.5138, kb_relative_information_score: 152.6933, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8101, predictive_accuracy: 0.7966, prior_entropy: 0.8464, recall: 0.7966, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.451, root_relative_squared_error: 1.0134, usercpu_time_millis: 5.306, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 4.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8318, kappa: 0.5775, kb_relative_information_score: 185.7444, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8327, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9238, usercpu_time_millis: 2.268, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8436, kappa: 0.6087, kb_relative_information_score: 196.7614, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8453, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8919, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1165, kb_relative_information_score: -351.3363, mean_absolute_error: 0.7278, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.0741, predictive_accuracy: 0.2722, prior_entropy: 0.8464, recall: 0.2722, relative_absolute_error: 1.8341, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.8531, root_relative_squared_error: 1.9167, usercpu_time_millis: 1.572, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7874, kappa: 0.4503, kb_relative_information_score: 149.939, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7849, predictive_accuracy: 0.7937, prior_entropy: 0.8464, recall: 0.7937, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4542, root_relative_squared_error: 1.0205, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7822, kappa: 0.4504, kb_relative_information_score: 138.922, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 0.8464, recall: 0.7822, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0484, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.832, kappa: 0.5878, kb_relative_information_score: 182.9901, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8395, predictive_accuracy: 0.8281, prior_entropy: 0.8464, recall: 0.8281, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9316, usercpu_time_millis: 34.327, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 34.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.918, kappa: 0.7963, kb_relative_information_score: 268.3722, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9206, predictive_accuracy: 0.9169, prior_entropy: 0.8464, recall: 0.9169, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.6476, usercpu_time_millis: 380.514, usercpu_time_millis_testing: 9.249, usercpu_time_millis_training: 371.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.877, kappa: 0.6838, kb_relative_information_score: 232.5668, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8769, predictive_accuracy: 0.8797, prior_entropy: 0.8464, recall: 0.8797, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7794, usercpu_time_millis: 20.949, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 19.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9317, kappa: 0.8287, kb_relative_information_score: 282.1435, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9324, predictive_accuracy: 0.9312, prior_entropy: 0.8464, recall: 0.9312, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5892, usercpu_time_millis: 19.502, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 17.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9344, kappa: 0.8353, kb_relative_information_score: 284.8978, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9349, predictive_accuracy: 0.9341, prior_entropy: 0.8464, recall: 0.9341, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5768, usercpu_time_millis: 2.507, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9425, kappa: 0.8544, kb_relative_information_score: 293.1605, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.8464, recall: 0.9427, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5378, usercpu_time_millis: 5.64, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9468, kappa: 0.8626, kb_relative_information_score: 298.6691, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9507, predictive_accuracy: 0.9484, prior_entropy: 0.8464, recall: 0.9484, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5102, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.8052, kappa: 0.5082, kb_relative_information_score: 160.9561, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8052, predictive_accuracy: 0.8052, prior_entropy: 0.8464, recall: 0.8052, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9917, usercpu_time_millis: 42.427, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 42.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.765, kappa: 0.3777, kb_relative_information_score: 141.6762, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7709, predictive_accuracy: 0.7851, prior_entropy: 0.8464, recall: 0.7851, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0415, usercpu_time_millis: 60.902, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 60.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.7037, kappa: 0.2105, kb_relative_information_score: 116.8879, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7508, predictive_accuracy: 0.7593, prior_entropy: 0.8464, recall: 0.7593, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.1022, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7729, kappa: 0.4418, kb_relative_information_score: 125.1507, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7807, predictive_accuracy: 0.7679, prior_entropy: 0.8464, recall: 0.7679, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0824, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8554, kappa: 0.6494, kb_relative_information_score: 205.0242, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8669, predictive_accuracy: 0.851, prior_entropy: 0.8464, recall: 0.851, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8672, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.6827, kappa: 0.1735, kb_relative_information_score: 56.2942, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.6746, predictive_accuracy: 0.6963, prior_entropy: 0.8464, recall: 0.6963, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.2382, usercpu_time_millis: 1.713, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.6582, kappa: 0.1001, kb_relative_information_score: 100.3623, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7384, predictive_accuracy: 0.7421, prior_entropy: 0.8464, recall: 0.7421, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.1409, usercpu_time_millis: 17.621, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 17.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.6231, kappa: 0.0149, kb_relative_information_score: 3.9632, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.6099, predictive_accuracy: 0.6418, prior_entropy: 0.8464, recall: 0.6418, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.3446, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7462, kappa: 0.3279, kb_relative_information_score: 125.1507, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7489, predictive_accuracy: 0.7679, prior_entropy: 0.8464, recall: 0.7679, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0824, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7259, kappa: 0.4381, kb_relative_information_score: 70.0655, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8372, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.538, root_relative_squared_error: 1.2086, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722, usercpu_time_millis: 19.507, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 17.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.8166, kappa: 0.5372, kb_relative_information_score: 171.9731, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8166, predictive_accuracy: 0.8166, prior_entropy: 0.8464, recall: 0.8166, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9621, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.8147, kappa: 0.5438, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8213, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7915, kappa: 0.4688, kb_relative_information_score: 149.939, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7899, predictive_accuracy: 0.7937, prior_entropy: 0.8464, recall: 0.7937, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4542, root_relative_squared_error: 1.0205, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.7849, kappa: 0.4446, kb_relative_information_score: 147.1848, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7823, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.0275, usercpu_time_millis: 2.134, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 2.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.8463, kappa: 0.6146, kb_relative_information_score: 199.5157, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8475, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8837, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7755, kappa: 0.4198, kb_relative_information_score: 138.922, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7726, predictive_accuracy: 0.7822, prior_entropy: 0.8464, recall: 0.7822, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0484, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7666, kappa: 0.4018, kb_relative_information_score: 127.9049, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7639, predictive_accuracy: 0.7708, prior_entropy: 0.8464, recall: 0.7708, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0757, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8237, kappa: 0.5813, kb_relative_information_score: 171.9731, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8447, predictive_accuracy: 0.8166, prior_entropy: 0.8464, recall: 0.8166, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9621, usercpu_time_millis: 0.366, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8341, kappa: 0.5909, kb_relative_information_score: 185.7444, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8398, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9238, usercpu_time_millis: 3.035, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 2.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8486, kappa: 0.6413, kb_relative_information_score: 196.7614, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8702, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8919, usercpu_time_millis: 2.785, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 1.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8495, kappa: 0.6336, kb_relative_information_score: 199.5157, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8595, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8837, usercpu_time_millis: 3, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.7731, kappa: 0.4142, kb_relative_information_score: 136.1677, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7701, predictive_accuracy: 0.7794, prior_entropy: 0.8464, recall: 0.7794, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0553, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.8154, kappa: 0.531, kb_relative_information_score: 171.9731, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8144, predictive_accuracy: 0.8166, prior_entropy: 0.8464, recall: 0.8166, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9621, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.787, kappa: 0.4445, kb_relative_information_score: 152.6933, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7858, predictive_accuracy: 0.7966, prior_entropy: 0.8464, recall: 0.7966, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.451, root_relative_squared_error: 1.0134, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.93,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9365, kappa: 0.8388, kb_relative_information_score: 287.652, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9364, predictive_accuracy: 0.937, prior_entropy: 0.8464, recall: 0.937, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5641, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7861, kappa: 0.4629, kb_relative_information_score: 141.6762, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7873, predictive_accuracy: 0.7851, prior_entropy: 0.8464, recall: 0.7851, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0415, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.105,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.8392, kappa: 0.5873, kb_relative_information_score: 196.7614, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8381, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8919, usercpu_time_millis: 61.325, usercpu_time_millis_testing: 3.267, usercpu_time_millis_training: 58.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.8349, kappa: 0.5635, kb_relative_information_score: 202.27, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8499, predictive_accuracy: 0.8481, prior_entropy: 0.8464, recall: 0.8481, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.8755, usercpu_time_millis: 17.597, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 15.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7702, kappa: 0.3928, kb_relative_information_score: 144.4305, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7743, predictive_accuracy: 0.788, prior_entropy: 0.8464, recall: 0.788, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.0345, usercpu_time_millis: 3.047, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 2.808,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8364, kappa: 0.5864, kb_relative_information_score: 191.2529, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8361, predictive_accuracy: 0.8367, prior_entropy: 0.8464, recall: 0.8367, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.908, usercpu_time_millis: 2.251, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.21,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 904.6764, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 936.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8933, kappa: 0.7373, kb_relative_information_score: 219.5292, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8987, predictive_accuracy: 0.8911, prior_entropy: 0.8464, recall: 0.8911, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6938, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8933, kappa: 0.7373, kb_relative_information_score: 219.5292, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8987, predictive_accuracy: 0.8911, prior_entropy: 0.8464, recall: 0.8911, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6938, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729, scimark_benchmark: 947.1781, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8441, kappa: 0.6112, kb_relative_information_score: 143.22, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8466, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7344, scimark_benchmark: 935.2002, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 944.0133, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 934.5964, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8541, kappa: 0.6324, kb_relative_information_score: 147.6042, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8544, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.7142, scimark_benchmark: 941.4991, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 945.6228, usercpu_time_millis: 2160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8933, kappa: 0.7373, kb_relative_information_score: 219.5292, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8987, predictive_accuracy: 0.8911, prior_entropy: 0.8464, recall: 0.8911, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6938, scimark_benchmark: 934.695, usercpu_time_millis: 2070, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729, scimark_benchmark: 1051.249, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9203, kappa: 0.8001, kb_relative_information_score: 226.3593, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9211, predictive_accuracy: 0.9198, prior_entropy: 0.8464, recall: 0.9198, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5349, scimark_benchmark: 943.6618, usercpu_time_millis: 9030, usercpu_time_millis_testing: 4260, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9317, kappa: 0.8287, kb_relative_information_score: 227.4249, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9324, predictive_accuracy: 0.9312, prior_entropy: 0.8464, recall: 0.9312, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5328, scimark_benchmark: 932.438, usercpu_time_millis: 4060, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9208, kappa: 0.8027, kb_relative_information_score: 226.1652, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9228, predictive_accuracy: 0.9198, prior_entropy: 0.8464, recall: 0.9198, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.5389, scimark_benchmark: 922.613, usercpu_time_millis: 2040, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9205, kappa: 0.8014, kb_relative_information_score: 226.3161, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9219, predictive_accuracy: 0.9198, prior_entropy: 0.8464, recall: 0.9198, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.5381, scimark_benchmark: 936.8729, usercpu_time_millis: 760, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9072, kappa: 0.7712, kb_relative_information_score: 225.4208, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9118, predictive_accuracy: 0.9054, prior_entropy: 0.8464, recall: 0.9054, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5705, scimark_benchmark: 936.7184, usercpu_time_millis: 430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.855, kappa: 0.6372, kb_relative_information_score: 183.6219, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8566, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7244, scimark_benchmark: 894.7131, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.855, kappa: 0.6372, kb_relative_information_score: 183.6219, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8566, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7244, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

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