Task
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: 0.9999, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6453.6597, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1352, scimark_benchmark: 1211.4804, usercpu_time_millis: 422.206, usercpu_time_millis_testing: 2.692, usercpu_time_millis_training: 419.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3495.0764, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6783, scimark_benchmark: 1258.8928, usercpu_time_millis: 579.254, usercpu_time_millis_testing: 6.053, usercpu_time_millis_training: 573.201,
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: 1224.4091, usercpu_time_millis: 234.304, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 233.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3501.0245, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6783, scimark_benchmark: 1248.0784, usercpu_time_millis: 607.323, usercpu_time_millis_testing: 6.39, usercpu_time_millis_training: 600.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9678, kappa: 0.8749, kb_relative_information_score: 5318.8922, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9677, predictive_accuracy: 0.9682, prior_entropy: 0.6204, recall: 0.9682, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4419, scimark_benchmark: 1259.1685, usercpu_time_millis: 652.548, usercpu_time_millis_testing: 6.77, usercpu_time_millis_training: 645.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6574.4651, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0099, root_relative_squared_error: 0.0274, scimark_benchmark: 1231.4042, usercpu_time_millis: 302.845, usercpu_time_millis_testing: 2.731, usercpu_time_millis_training: 300.114,
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: 1264.4323, usercpu_time_millis: 246.797, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 246.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9485, kappa: 0.7938, kb_relative_information_score: 4856.1071, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9505, predictive_accuracy: 0.951, prior_entropy: 0.6204, recall: 0.951, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5368, scimark_benchmark: 1261.1075, usercpu_time_millis: 568.721, usercpu_time_millis_testing: 6.584, usercpu_time_millis_training: 562.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9888, kappa: 0.9569, kb_relative_information_score: 6074.0313, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2622, scimark_benchmark: 1255.0779, usercpu_time_millis: 339.717, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 336.748,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
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: 1219.635, usercpu_time_millis: 267.74, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 266.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.966, kappa: 0.8663, kb_relative_information_score: 5243.5697, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9663, predictive_accuracy: 0.9668, prior_entropy: 0.6204, recall: 0.9668, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4372, scimark_benchmark: 1258.4998, usercpu_time_millis: 445.311, usercpu_time_millis_testing: 3.484, usercpu_time_millis_training: 441.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9875, kappa: 0.9518, kb_relative_information_score: 6169.1109, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.6204, recall: 0.9876, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.248, scimark_benchmark: 1216.9372, usercpu_time_millis: 428.222, usercpu_time_millis_testing: 3.232, usercpu_time_millis_training: 424.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3494.5413, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1231.184, usercpu_time_millis: 639.389, usercpu_time_millis_testing: 5.467, usercpu_time_millis_training: 633.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9635, kappa: 0.8581, kb_relative_information_score: 5173.7703, mean_absolute_error: 0.055, 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: 0.2109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4608, scimark_benchmark: 1208.9796, usercpu_time_millis: 635.31, usercpu_time_millis_testing: 6.466, usercpu_time_millis_training: 628.844,
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: 1266.5677, usercpu_time_millis: 269.377, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 268.506,
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: 1226.391, usercpu_time_millis: 256.3, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 255.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9874, kappa: 0.9515, kb_relative_information_score: 6053.6354, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2672, scimark_benchmark: 1271.1278, usercpu_time_millis: 312.296, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 309.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4703.6195, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1233.9028, usercpu_time_millis: 693.634, usercpu_time_millis_testing: 6.226, usercpu_time_millis_training: 687.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.2852, mean_absolute_error: 0.0007, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0455, scimark_benchmark: 1273.537, usercpu_time_millis: 227.65, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 227.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4708.1737, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5402, scimark_benchmark: 1210.2507, usercpu_time_millis: 688.465, usercpu_time_millis_testing: 7.264, usercpu_time_millis_training: 681.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5148.3186, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4651, scimark_benchmark: 1256.4295, usercpu_time_millis: 630.974, usercpu_time_millis_testing: 7.037, usercpu_time_millis_training: 623.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6536.088, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.0796, scimark_benchmark: 1209.4175, usercpu_time_millis: 397.043, usercpu_time_millis_testing: 2.643, usercpu_time_millis_training: 394.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9843, kappa: 0.9398, kb_relative_information_score: 5966.7585, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 0.6204, recall: 0.9844, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.3062, scimark_benchmark: 1227.6065, usercpu_time_millis: 296.432, usercpu_time_millis_testing: 2.235, usercpu_time_millis_training: 294.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.1407, 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: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0155, root_relative_squared_error: 0.0428, scimark_benchmark: 1271.1069, usercpu_time_millis: 209.938, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 208.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9684, kappa: 0.8771, kb_relative_information_score: 5389.0768, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9684, predictive_accuracy: 0.9689, prior_entropy: 0.6204, recall: 0.9689, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4259, scimark_benchmark: 1178.9995, usercpu_time_millis: 542.217, usercpu_time_millis_testing: 4.21, usercpu_time_millis_training: 538.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.3299, 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: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1224.9119, usercpu_time_millis: 746.547, usercpu_time_millis_testing: 7.513, usercpu_time_millis_training: 739.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9866, kappa: 0.9482, kb_relative_information_score: 6104.4266, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.095, root_relative_squared_error: 0.2632, scimark_benchmark: 1263.7097, usercpu_time_millis: 474.635, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 471.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9657, kappa: 0.8662, kb_relative_information_score: 5200.9525, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9656, predictive_accuracy: 0.9662, prior_entropy: 0.6204, recall: 0.9662, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4577, scimark_benchmark: 1273.5644, usercpu_time_millis: 709.992, usercpu_time_millis_testing: 8.185, usercpu_time_millis_training: 701.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5166.7935, 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: 1215.7469, usercpu_time_millis: 912.642, usercpu_time_millis_testing: 11.135, usercpu_time_millis_training: 901.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9711, kappa: 0.8875, kb_relative_information_score: 5496.0196, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9711, predictive_accuracy: 0.9715, prior_entropy: 0.6204, recall: 0.9715, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.407, scimark_benchmark: 1259.1198, usercpu_time_millis: 538.387, usercpu_time_millis_testing: 4.262, usercpu_time_millis_training: 534.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6548.467, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.063, scimark_benchmark: 1248.7646, usercpu_time_millis: 273.053, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 271.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9607, kappa: 0.8464, kb_relative_information_score: 5088.6087, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9607, predictive_accuracy: 0.9615, prior_entropy: 0.6204, recall: 0.9615, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4742, scimark_benchmark: 1269.8586, usercpu_time_millis: 568.474, usercpu_time_millis_testing: 6.696, usercpu_time_millis_training: 561.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9198, kappa: 0.6743, kb_relative_information_score: 3497.5987, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9222, predictive_accuracy: 0.9253, prior_entropy: 0.6204, recall: 0.9253, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6782, scimark_benchmark: 1271.9455, usercpu_time_millis: 527.449, usercpu_time_millis_testing: 5.773, usercpu_time_millis_training: 521.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.162, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.021, root_relative_squared_error: 0.0581, scimark_benchmark: 1219.3468, usercpu_time_millis: 239.085, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 238.229,
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: 1282.9758, usercpu_time_millis: 305.603, usercpu_time_millis_testing: 2.754, usercpu_time_millis_training: 302.849,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5149.9766, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4653, scimark_benchmark: 1225.0189, usercpu_time_millis: 694.802, usercpu_time_millis_testing: 7.345, usercpu_time_millis_training: 687.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9466, kappa: 0.7871, kb_relative_information_score: 4382.7288, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9478, predictive_accuracy: 0.9489, prior_entropy: 0.6204, recall: 0.9489, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.5541, scimark_benchmark: 1261.1865, usercpu_time_millis: 612.607, usercpu_time_millis_testing: 6.352, usercpu_time_millis_training: 606.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9644, kappa: 0.8612, kb_relative_information_score: 5177.196, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9643, predictive_accuracy: 0.965, prior_entropy: 0.6204, recall: 0.965, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4588, scimark_benchmark: 1269.3265, usercpu_time_millis: 556.257, usercpu_time_millis_testing: 6.022, usercpu_time_millis_training: 550.235,
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: 1220.1193, usercpu_time_millis: 281.322, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 280.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9746, kappa: 0.9011, kb_relative_information_score: 5630.2396, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.3818, scimark_benchmark: 1215.9038, usercpu_time_millis: 679.494, usercpu_time_millis_testing: 6.86, usercpu_time_millis_training: 672.634,
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: 1228.5938, usercpu_time_millis: 275.308, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 274.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3494.9475, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, 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: 1260.3511, usercpu_time_millis: 617.282, usercpu_time_millis_testing: 6.679, usercpu_time_millis_training: 610.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9123, kb_relative_information_score: 5809.8128, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.6204, recall: 0.9777, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3452, scimark_benchmark: 1269.4874, usercpu_time_millis: 572.992, usercpu_time_millis_testing: 4.807, usercpu_time_millis_training: 568.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9645, kappa: 0.8619, kb_relative_information_score: 5235.7254, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9644, predictive_accuracy: 0.965, prior_entropy: 0.6204, recall: 0.965, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4585, scimark_benchmark: 1268.2998, usercpu_time_millis: 614.579, usercpu_time_millis_testing: 7.747, usercpu_time_millis_training: 606.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.4342, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0577, scimark_benchmark: 1226.8813, usercpu_time_millis: 263.9, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 263.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8243, 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: 1227.8084, usercpu_time_millis: 353.877, usercpu_time_millis_testing: 2.634, usercpu_time_millis_training: 351.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9648, kappa: 0.8626, kb_relative_information_score: 5281.2303, mean_absolute_error: 0.0529, 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: 0.2026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4432, scimark_benchmark: 1211.701, usercpu_time_millis: 404.09, usercpu_time_millis_testing: 2.913, usercpu_time_millis_training: 401.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.49, 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: 0.0156, root_relative_squared_error: 0.0433, scimark_benchmark: 1268.2112, usercpu_time_millis: 249.921, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 249.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9493, kappa: 0.8017, kb_relative_information_score: 4708.834, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5405, scimark_benchmark: 1262.7773, usercpu_time_millis: 559.087, usercpu_time_millis_testing: 5.811, usercpu_time_millis_training: 553.276,
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: 1274.7278, usercpu_time_millis: 236.222, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 235.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9642, kappa: 0.8606, kb_relative_information_score: 5173.7752, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9641, predictive_accuracy: 0.9647, prior_entropy: 0.6204, recall: 0.9647, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4605, scimark_benchmark: 1224.7201, usercpu_time_millis: 593.42, usercpu_time_millis_testing: 4.803, usercpu_time_millis_training: 588.617,
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: 1244.3801, usercpu_time_millis: 273.126, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 271.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6527.4774, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1025, scimark_benchmark: 1278.6962, usercpu_time_millis: 239.493, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 238.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6544.7145, mean_absolute_error: 0.0023, 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: 0.0087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0201, root_relative_squared_error: 0.0555, scimark_benchmark: 1219.1929, usercpu_time_millis: 511.729, usercpu_time_millis_testing: 3.766, usercpu_time_millis_training: 507.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.5869, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1272.4004, usercpu_time_millis: 223.736, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 222.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9892, kappa: 0.9585, kb_relative_information_score: 6098.9028, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.256, scimark_benchmark: 1266.3119, usercpu_time_millis: 277.476, usercpu_time_millis_testing: 2.304, usercpu_time_millis_training: 275.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9775, kb_relative_information_score: 6330.6312, mean_absolute_error: 0.0103, 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: 0.0394, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1856, scimark_benchmark: 1272.2655, usercpu_time_millis: 242.549, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 240.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6474.7583, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.104, scimark_benchmark: 1277.5097, usercpu_time_millis: 400.783, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 397.678,
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: 1263.6137, usercpu_time_millis: 208.787, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 208.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6517.0591, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.039, root_relative_squared_error: 0.1081, scimark_benchmark: 1265.1404, usercpu_time_millis: 206.397, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 205.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9799, kappa: 0.9225, kb_relative_information_score: 5712.3484, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9798, predictive_accuracy: 0.98, prior_entropy: 0.6204, recall: 0.98, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.34, scimark_benchmark: 1276.4378, usercpu_time_millis: 294.906, usercpu_time_millis_testing: 2.433, usercpu_time_millis_training: 292.473,
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: 1273.6522, usercpu_time_millis: 230.291, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 229.555,
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: 1273.5871, usercpu_time_millis: 226.747, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 226.026,
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: 1229.3272, usercpu_time_millis: 298.29, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 296.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6546.9988, mean_absolute_error: 0.0022, 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: 0.0084, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0648, scimark_benchmark: 1225.5541, usercpu_time_millis: 289.857, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 288.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9765, kappa: 0.9086, kb_relative_information_score: 5731.7868, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.6204, recall: 0.9768, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3625, scimark_benchmark: 1263.3703, usercpu_time_millis: 541.44, usercpu_time_millis_testing: 4.328, usercpu_time_millis_training: 537.112,

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