OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8511, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1253.6757, usercpu_time_millis: 342.134, usercpu_time_millis_testing: 2.668, usercpu_time_millis_training: 339.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6556.9478, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0159, root_relative_squared_error: 0.0441, scimark_benchmark: 1176.7672, usercpu_time_millis: 406.998, usercpu_time_millis_testing: 3.707, usercpu_time_millis_training: 403.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1233.3068, usercpu_time_millis: 253.352, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 252.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9624, kappa: 0.8544, kb_relative_information_score: 4710.4386, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9623, predictive_accuracy: 0.9629, prior_entropy: 0.6204, recall: 0.9629, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4912, scimark_benchmark: 1226.6103, usercpu_time_millis: 557.413, usercpu_time_millis_testing: 6.888, usercpu_time_millis_training: 550.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5187.1481, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4595, scimark_benchmark: 1277.4576, usercpu_time_millis: 617.974, usercpu_time_millis_testing: 8.057, usercpu_time_millis_training: 609.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9529, kappa: 0.8134, kb_relative_information_score: 4570.3484, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9538, predictive_accuracy: 0.9547, prior_entropy: 0.6204, recall: 0.9547, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.5282, scimark_benchmark: 1235.6487, usercpu_time_millis: 609.691, usercpu_time_millis_testing: 4.918, usercpu_time_millis_training: 604.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9688, kappa: 0.8787, kb_relative_information_score: 5425.0458, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.6204, recall: 0.9692, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4191, scimark_benchmark: 1229.6332, usercpu_time_millis: 422.24, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 419.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1222.9725, usercpu_time_millis: 256.296, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 255.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9771, kappa: 0.9115, kb_relative_information_score: 5604.1318, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.6204, recall: 0.9773, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3593, scimark_benchmark: 1281.2671, usercpu_time_millis: 322.091, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 319.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9654, kappa: 0.8653, kb_relative_information_score: 5133.061, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9654, predictive_accuracy: 0.9661, prior_entropy: 0.6204, recall: 0.9661, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4384, scimark_benchmark: 1230.0032, usercpu_time_millis: 372.427, usercpu_time_millis_testing: 2.552, usercpu_time_millis_training: 369.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9941, kappa: 0.9773, kb_relative_information_score: 6293.2248, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6204, recall: 0.9941, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2027, scimark_benchmark: 1268.4227, usercpu_time_millis: 285.958, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 283.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4702.9657, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1286.9106, usercpu_time_millis: 617.724, usercpu_time_millis_testing: 7.143, usercpu_time_millis_training: 610.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9923, kappa: 0.9703, kb_relative_information_score: 6265.8788, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.6204, recall: 0.9923, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.2119, scimark_benchmark: 1281.7558, usercpu_time_millis: 283.242, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 280.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1234.4309, usercpu_time_millis: 235.564, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 234.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6547.6905, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.0837, scimark_benchmark: 1250.364, usercpu_time_millis: 247.324, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 246.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6562.6555, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0445, scimark_benchmark: 1229.8262, usercpu_time_millis: 389.38, usercpu_time_millis_testing: 2.454, usercpu_time_millis_training: 386.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6504.1651, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0962, scimark_benchmark: 1230.627, usercpu_time_millis: 474.335, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 470.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9608, kb_relative_information_score: 6212.7002, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2332, scimark_benchmark: 1276.8109, usercpu_time_millis: 372.556, usercpu_time_millis_testing: 2.702, usercpu_time_millis_training: 369.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1223.0387, usercpu_time_millis: 317.265, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 315.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1271.3344, usercpu_time_millis: 241.71, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 240.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9373, kappa: 0.7514, kb_relative_information_score: 3998.0234, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9373, predictive_accuracy: 0.9395, prior_entropy: 0.6204, recall: 0.9395, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.6095, scimark_benchmark: 1216.651, usercpu_time_millis: 675.116, usercpu_time_millis_testing: 6.568, usercpu_time_millis_training: 668.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.7936, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1228.3741, usercpu_time_millis: 369.17, usercpu_time_millis_testing: 2.838, usercpu_time_millis_training: 366.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6395.9791, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1658, scimark_benchmark: 1225.3621, usercpu_time_millis: 288.373, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 286.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.1269, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1276.4144, usercpu_time_millis: 769.03, usercpu_time_millis_testing: 8.417, usercpu_time_millis_training: 760.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9741, kappa: 0.8993, kb_relative_information_score: 5609.2565, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9742, predictive_accuracy: 0.9745, prior_entropy: 0.6204, recall: 0.9745, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3863, scimark_benchmark: 1283.4363, usercpu_time_millis: 629.028, usercpu_time_millis_testing: 6.338, usercpu_time_millis_training: 622.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1271.4124, usercpu_time_millis: 266.965, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 266.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1263.6541, usercpu_time_millis: 279.653, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 278.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6490.2, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1155, scimark_benchmark: 1225.9468, usercpu_time_millis: 274.071, usercpu_time_millis_testing: 1.878, usercpu_time_millis_training: 272.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.268, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4627, scimark_benchmark: 1222.4883, usercpu_time_millis: 796.857, usercpu_time_millis_testing: 8.551, usercpu_time_millis_training: 788.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.8768, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4623, scimark_benchmark: 1236.5026, usercpu_time_millis: 786.333, usercpu_time_millis_testing: 8.386, usercpu_time_millis_training: 777.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6568.4123, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0114, root_relative_squared_error: 0.0315, scimark_benchmark: 1239.3953, usercpu_time_millis: 402.145, usercpu_time_millis_testing: 3.283, usercpu_time_millis_training: 398.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9947, kappa: 0.9796, kb_relative_information_score: 6344.2934, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1865, scimark_benchmark: 1230.7909, usercpu_time_millis: 313.591, usercpu_time_millis_testing: 1.941, usercpu_time_millis_training: 311.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5166.7216, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4628, scimark_benchmark: 1224.5276, usercpu_time_millis: 805.203, usercpu_time_millis_testing: 8.633, usercpu_time_millis_training: 796.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.6641, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0656, scimark_benchmark: 1228.4839, usercpu_time_millis: 389.723, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 387.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6545.3152, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0868, scimark_benchmark: 1275.8472, usercpu_time_millis: 233.333, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 232.292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5168.4373, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1248.9166, usercpu_time_millis: 878.245, usercpu_time_millis_testing: 9.636, usercpu_time_millis_training: 868.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9488, kappa: 0.7998, kb_relative_information_score: 4675.8797, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5411, scimark_benchmark: 1270.5492, usercpu_time_millis: 568.465, usercpu_time_millis_testing: 7.058, usercpu_time_millis_training: 561.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9659, kappa: 0.8672, kb_relative_information_score: 5294.0326, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9659, predictive_accuracy: 0.9665, prior_entropy: 0.6204, recall: 0.9665, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4414, scimark_benchmark: 1276.5298, usercpu_time_millis: 555.442, usercpu_time_millis_testing: 5.24, usercpu_time_millis_training: 550.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5147.4951, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4656, scimark_benchmark: 1242.7021, usercpu_time_millis: 825.159, usercpu_time_millis_testing: 9.186, usercpu_time_millis_training: 815.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9663, kappa: 0.8688, kb_relative_information_score: 5229.2775, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9662, predictive_accuracy: 0.9668, prior_entropy: 0.6204, recall: 0.9668, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.453, scimark_benchmark: 1236.3275, usercpu_time_millis: 794.227, usercpu_time_millis_testing: 9.496, usercpu_time_millis_training: 784.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3495.4782, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6786, scimark_benchmark: 1275.1661, usercpu_time_millis: 611.099, usercpu_time_millis_testing: 6.797, usercpu_time_millis_training: 604.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9494, kappa: 0.8021, kb_relative_information_score: 4704.1081, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9491, predictive_accuracy: 0.9504, prior_entropy: 0.6204, recall: 0.9504, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1237.1154, usercpu_time_millis: 782.339, usercpu_time_millis_testing: 8.774, usercpu_time_millis_training: 773.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9651, kappa: 0.8641, kb_relative_information_score: 5173.5325, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.965, predictive_accuracy: 0.9656, prior_entropy: 0.6204, recall: 0.9656, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4618, scimark_benchmark: 1267.5154, usercpu_time_millis: 669.052, usercpu_time_millis_testing: 8.399, usercpu_time_millis_training: 660.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6491.5598, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0866, scimark_benchmark: 1246.3726, usercpu_time_millis: 503.548, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 500.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1257.9175, usercpu_time_millis: 263.906, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 262.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1235.0536, usercpu_time_millis: 301.586, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 300.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6554.7592, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0735, scimark_benchmark: 1271.1016, usercpu_time_millis: 215.97, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 215.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9915, kappa: 0.9672, kb_relative_information_score: 6195.5222, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.6204, recall: 0.9915, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.2309, scimark_benchmark: 1263.9439, usercpu_time_millis: 285.612, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 283.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9494, kb_relative_information_score: 6124.3647, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.2572, scimark_benchmark: 1277.5852, usercpu_time_millis: 487.352, usercpu_time_millis_testing: 3.853, usercpu_time_millis_training: 483.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6469.6195, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1106, scimark_benchmark: 1278.3733, usercpu_time_millis: 429.386, usercpu_time_millis_testing: 3.179, usercpu_time_millis_training: 426.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6570.9433, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.012, root_relative_squared_error: 0.0332, scimark_benchmark: 1213.113, usercpu_time_millis: 354.654, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 352.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1238.2877, usercpu_time_millis: 351.225, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 348.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9853, kappa: 0.9436, kb_relative_information_score: 6075.9528, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.6204, recall: 0.9853, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2763, scimark_benchmark: 1233.6127, usercpu_time_millis: 337.717, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 334.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9667, kappa: 0.8702, kb_relative_information_score: 5331.7757, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9667, predictive_accuracy: 0.9673, prior_entropy: 0.6204, recall: 0.9673, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4358, scimark_benchmark: 1229.1034, usercpu_time_millis: 532.959, usercpu_time_millis_testing: 4.126, usercpu_time_millis_training: 528.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8763, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1284.2211, usercpu_time_millis: 320.112, usercpu_time_millis_testing: 2.657, usercpu_time_millis_training: 317.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1216.7674, usercpu_time_millis: 271.687, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 270.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5179.3128, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.461, scimark_benchmark: 1251.1394, usercpu_time_millis: 785.663, usercpu_time_millis_testing: 8.811, usercpu_time_millis_training: 776.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1228.8449, usercpu_time_millis: 268.106, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 267.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1265.6138, usercpu_time_millis: 233.642, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 232.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9635, kappa: 0.8577, kb_relative_information_score: 4832.0004, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.4876, scimark_benchmark: 1253.3809, usercpu_time_millis: 561.214, usercpu_time_millis_testing: 6.208, usercpu_time_millis_training: 555.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9488, kappa: 0.7997, kb_relative_information_score: 4698.4203, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9486, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5412, scimark_benchmark: 1238.3355, usercpu_time_millis: 604.01, usercpu_time_millis_testing: 6.561, usercpu_time_millis_training: 597.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5189.4376, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4598, scimark_benchmark: 1229.8695, usercpu_time_millis: 735.882, usercpu_time_millis_testing: 7.545, usercpu_time_millis_training: 728.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1227.9962, usercpu_time_millis: 255.683, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 254.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1261.3334, usercpu_time_millis: 231.449, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 230.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.4368, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1224.2501, usercpu_time_millis: 676.564, usercpu_time_millis_testing: 6.099, usercpu_time_millis_training: 670.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9331, kappa: 0.73, kb_relative_information_score: 4187.5361, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9354, predictive_accuracy: 0.9371, prior_entropy: 0.6204, recall: 0.9371, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.5902, scimark_benchmark: 1213.2496, usercpu_time_millis: 611.384, usercpu_time_millis_testing: 4.023, usercpu_time_millis_training: 607.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.3641, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0169, root_relative_squared_error: 0.0467, scimark_benchmark: 1264.2254, usercpu_time_millis: 208.689, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 207.277,

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