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: 0.9994, kappa: 0.9977, kb_relative_information_score: 6541.3097, mean_absolute_error: 0.0024, 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: 0.0093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0602, scimark_benchmark: 1288.2332, usercpu_time_millis: 466.125, usercpu_time_millis_testing: 3.642, usercpu_time_millis_training: 462.483,
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: 1291.0062, usercpu_time_millis: 262.199, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 261.391,
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: 1250.0648, usercpu_time_millis: 236.068, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 235.368,
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: 1248.8027, usercpu_time_millis: 235.47, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 234.725,
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: 1231.8235, usercpu_time_millis: 234.545, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 233.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5148.278, 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: 0.2151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4655, scimark_benchmark: 1261.4898, usercpu_time_millis: 768.464, usercpu_time_millis_testing: 8.624, usercpu_time_millis_training: 759.84,
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: 1252.2037, usercpu_time_millis: 262.692, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 261.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9332, kappa: 0.7348, kb_relative_information_score: 3879.5919, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9332, predictive_accuracy: 0.9357, prior_entropy: 0.6204, recall: 0.9357, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.6214, scimark_benchmark: 1255.7848, usercpu_time_millis: 756.815, usercpu_time_millis_testing: 8.865, usercpu_time_millis_training: 747.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9331, kappa: 0.7318, kb_relative_information_score: 4085.1736, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9342, predictive_accuracy: 0.9365, prior_entropy: 0.6204, recall: 0.9365, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5941, scimark_benchmark: 1284.3496, usercpu_time_millis: 390.1, usercpu_time_millis_testing: 2.945, usercpu_time_millis_training: 387.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6572.7772, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0097, root_relative_squared_error: 0.0268, scimark_benchmark: 1291.9426, usercpu_time_millis: 311.331, usercpu_time_millis_testing: 2.846, usercpu_time_millis_training: 308.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9684, kb_relative_information_score: 6296.7022, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.6204, recall: 0.9918, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.1997, scimark_benchmark: 1295.8189, usercpu_time_millis: 422.032, usercpu_time_millis_testing: 3.167, usercpu_time_millis_training: 418.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9289, kappa: 0.7129, kb_relative_information_score: 3908.6013, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9309, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.6168, scimark_benchmark: 1247.5452, usercpu_time_millis: 519.749, usercpu_time_millis_testing: 3.839, usercpu_time_millis_training: 515.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9435, kb_relative_information_score: 6101.8904, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2715, scimark_benchmark: 1293.7911, usercpu_time_millis: 374, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 371.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9423, kappa: 0.7701, kb_relative_information_score: 4342.6197, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9433, predictive_accuracy: 0.9448, prior_entropy: 0.6204, recall: 0.9448, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.561, scimark_benchmark: 1258.6715, usercpu_time_millis: 458.962, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 455.977,
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: 1285.7689, usercpu_time_millis: 202.326, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 201.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9491, kappa: 0.7974, kb_relative_information_score: 4390.9473, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9502, predictive_accuracy: 0.9512, prior_entropy: 0.6204, recall: 0.9512, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.5508, scimark_benchmark: 1286.1587, usercpu_time_millis: 573.252, usercpu_time_millis_testing: 5.101, usercpu_time_millis_training: 568.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.968, kappa: 0.8749, kb_relative_information_score: 5350.1496, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4233, scimark_benchmark: 1279.5509, usercpu_time_millis: 397.972, usercpu_time_millis_testing: 3.315, usercpu_time_millis_training: 394.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5166.7155, 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: 1298.7965, usercpu_time_millis: 754.191, usercpu_time_millis_testing: 8.77, usercpu_time_millis_training: 745.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9806, kappa: 0.9249, kb_relative_information_score: 5998.3459, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2997, scimark_benchmark: 1247.3969, usercpu_time_millis: 394.603, usercpu_time_millis_testing: 3.022, usercpu_time_millis_training: 391.581,
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: 1296.3465, usercpu_time_millis: 251.162, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 250.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6551.9816, mean_absolute_error: 0.0019, 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: 0.0073, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0216, root_relative_squared_error: 0.0599, scimark_benchmark: 1246.6083, usercpu_time_millis: 324.173, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 321.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9708, kb_relative_information_score: 6242.6122, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2177, scimark_benchmark: 1295.3958, usercpu_time_millis: 318.227, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 315.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.952, kappa: 0.812, kb_relative_information_score: 4842.0226, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9518, predictive_accuracy: 0.953, prior_entropy: 0.6204, recall: 0.953, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.5155, scimark_benchmark: 1310.2983, usercpu_time_millis: 655.867, usercpu_time_millis_testing: 7.038, usercpu_time_millis_training: 648.829,
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: 1245.1102, usercpu_time_millis: 221.746, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 221.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9192, kappa: 0.672, kb_relative_information_score: 3496.3339, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9215, predictive_accuracy: 0.9247, prior_entropy: 0.6204, recall: 0.9247, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1245.6043, usercpu_time_millis: 573.737, usercpu_time_millis_testing: 5.186, usercpu_time_millis_training: 568.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9639, kappa: 0.8595, kb_relative_information_score: 5180.7076, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9637, predictive_accuracy: 0.9644, prior_entropy: 0.6204, recall: 0.9644, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4602, scimark_benchmark: 1247.8028, usercpu_time_millis: 652.034, usercpu_time_millis_testing: 7.027, usercpu_time_millis_training: 645.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5288.7644, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4438, scimark_benchmark: 1292.298, usercpu_time_millis: 643.797, usercpu_time_millis_testing: 7.161, usercpu_time_millis_training: 636.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9875, kappa: 0.9521, kb_relative_information_score: 6048.1312, mean_absolute_error: 0.0212, 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: 0.0811, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2684, scimark_benchmark: 1247.2798, usercpu_time_millis: 336.048, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 333.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9774, kappa: 0.9127, kb_relative_information_score: 5619.2095, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9773, predictive_accuracy: 0.9776, prior_entropy: 0.6204, recall: 0.9776, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3572, scimark_benchmark: 1285.6781, usercpu_time_millis: 339.125, usercpu_time_millis_testing: 2.437, usercpu_time_millis_training: 336.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6421.2229, mean_absolute_error: 0.0071, 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: 0.0272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1551, scimark_benchmark: 1289.2683, usercpu_time_millis: 279.19, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 277.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6502.2031, mean_absolute_error: 0.0037, 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: 0.0142, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.1019, scimark_benchmark: 1252.8741, usercpu_time_millis: 464.021, usercpu_time_millis_testing: 2.914, usercpu_time_millis_training: 461.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9302, kappa: 0.7188, kb_relative_information_score: 3971.3632, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9317, predictive_accuracy: 0.9341, prior_entropy: 0.6204, recall: 0.9341, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.6091, scimark_benchmark: 1260.8208, usercpu_time_millis: 526.627, usercpu_time_millis_testing: 3.647, usercpu_time_millis_training: 522.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6476.1375, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1298, scimark_benchmark: 1294.6766, usercpu_time_millis: 217.835, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 216.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.2843, 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: 1296.4696, usercpu_time_millis: 207.794, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 207.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5149.0904, mean_absolute_error: 0.056, 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: 0.2148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4652, scimark_benchmark: 1295.537, usercpu_time_millis: 648.999, usercpu_time_millis_testing: 7.182, usercpu_time_millis_training: 641.817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9198, kappa: 0.6743, kb_relative_information_score: 3496.3894, 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: 0.4418, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6782, scimark_benchmark: 1295.3208, usercpu_time_millis: 532.516, usercpu_time_millis_testing: 6.765, usercpu_time_millis_training: 525.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5180.8054, mean_absolute_error: 0.0552, 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: 0.2117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4609, scimark_benchmark: 1247.5365, usercpu_time_millis: 772.622, usercpu_time_millis_testing: 8.757, usercpu_time_millis_training: 763.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6459.9205, mean_absolute_error: 0.0056, 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: 0.0213, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1234, scimark_benchmark: 1254.2547, usercpu_time_millis: 422.434, usercpu_time_millis_testing: 2.723, usercpu_time_millis_training: 419.711,
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: 1286.359, usercpu_time_millis: 229.816, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 229.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6539.9307, mean_absolute_error: 0.0023, 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: 0.0089, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.0927, scimark_benchmark: 1241.6684, usercpu_time_millis: 268.114, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 266.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.5642, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0453, scimark_benchmark: 1258.3412, usercpu_time_millis: 242.441, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 241.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3497.2262, mean_absolute_error: 0.1151, 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: 0.4413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6784, scimark_benchmark: 1299.1024, usercpu_time_millis: 613.091, usercpu_time_millis_testing: 6.217, usercpu_time_millis_training: 606.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5183.4594, mean_absolute_error: 0.054, 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: 0.207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.458, scimark_benchmark: 1292.7429, usercpu_time_millis: 558.454, usercpu_time_millis_testing: 6.097, usercpu_time_millis_training: 552.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9399, kappa: 0.7666, kb_relative_information_score: 4337.8699, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9395, predictive_accuracy: 0.9407, prior_entropy: 0.6204, recall: 0.9407, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.582, scimark_benchmark: 1288.0036, usercpu_time_millis: 675.193, usercpu_time_millis_testing: 7.204, usercpu_time_millis_training: 667.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9708, kb_relative_information_score: 6241.2246, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2182, scimark_benchmark: 1294.2651, usercpu_time_millis: 335.187, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 332.653,
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: 1251.9893, usercpu_time_millis: 387.37, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 384.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9624, kappa: 0.8527, kb_relative_information_score: 5169.0529, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9625, predictive_accuracy: 0.9632, prior_entropy: 0.6204, recall: 0.9632, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4698, scimark_benchmark: 1242.1191, usercpu_time_millis: 556.358, usercpu_time_millis_testing: 5.228, usercpu_time_millis_training: 551.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6560.8895, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0143, root_relative_squared_error: 0.0397, scimark_benchmark: 1255.9193, usercpu_time_millis: 395.885, usercpu_time_millis_testing: 3.256, usercpu_time_millis_training: 392.629,
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: 1249.0462, usercpu_time_millis: 238.435, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 237.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9475, kappa: 0.7945, kb_relative_information_score: 4698.5567, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9472, predictive_accuracy: 0.9486, prior_entropy: 0.6204, recall: 0.9486, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5413, scimark_benchmark: 1250.29, usercpu_time_millis: 541.508, usercpu_time_millis_testing: 5.936, usercpu_time_millis_training: 535.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.1132, 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: 1293.657, usercpu_time_millis: 607.947, usercpu_time_millis_testing: 6.721, usercpu_time_millis_training: 601.226,
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: 1289.7846, usercpu_time_millis: 249.943, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 249.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9808, kb_relative_information_score: 6391.919, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.6204, recall: 0.995, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1581, scimark_benchmark: 1273.2639, usercpu_time_millis: 478.275, usercpu_time_millis_testing: 3.35, usercpu_time_millis_training: 474.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9691, kb_relative_information_score: 6267.8664, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.6204, recall: 0.992, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2146, scimark_benchmark: 1246.6642, usercpu_time_millis: 410.878, usercpu_time_millis_testing: 3.006, usercpu_time_millis_training: 407.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9289, kappa: 0.7126, kb_relative_information_score: 3898.5724, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9309, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6184, scimark_benchmark: 1259.8248, usercpu_time_millis: 447.28, usercpu_time_millis_testing: 3.229, usercpu_time_millis_training: 444.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9888, kappa: 0.9569, kb_relative_information_score: 6089.8524, mean_absolute_error: 0.0197, 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: 0.0755, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2585, scimark_benchmark: 1283.7337, usercpu_time_millis: 311.076, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 308.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6513.613, mean_absolute_error: 0.0033, 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: 0.0128, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0341, root_relative_squared_error: 0.0946, scimark_benchmark: 1267.7257, usercpu_time_millis: 362.05, usercpu_time_millis_testing: 2.599, usercpu_time_millis_training: 359.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9421, kappa: 0.7683, kb_relative_information_score: 4197.1605, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9434, predictive_accuracy: 0.9448, prior_entropy: 0.6204, recall: 0.9448, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5781, scimark_benchmark: 1271.834, usercpu_time_millis: 600.867, usercpu_time_millis_testing: 5.499, usercpu_time_millis_training: 595.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.0806, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0087, root_relative_squared_error: 0.0242, scimark_benchmark: 1294.2101, usercpu_time_millis: 278.33, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 276.206,
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: 1297.5483, usercpu_time_millis: 234.58, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 233.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6500.3804, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.117, scimark_benchmark: 1255.1879, usercpu_time_millis: 241.105, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 239.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9315, kappa: 0.7287, kb_relative_information_score: 4244.0944, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9313, predictive_accuracy: 0.9339, prior_entropy: 0.6204, recall: 0.9339, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.6095, scimark_benchmark: 1276.9802, usercpu_time_millis: 504.032, usercpu_time_millis_testing: 5.617, usercpu_time_millis_training: 498.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.948, kappa: 0.7925, kb_relative_information_score: 4428.3962, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9493, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5481, scimark_benchmark: 1300.7143, usercpu_time_millis: 517.517, usercpu_time_millis_testing: 5.084, usercpu_time_millis_training: 512.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.929, kappa: 0.7139, kb_relative_information_score: 3940.0126, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9308, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.613, scimark_benchmark: 1239.1511, usercpu_time_millis: 428.513, usercpu_time_millis_testing: 3.256, usercpu_time_millis_training: 425.257,
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: 1291.7548, usercpu_time_millis: 250.936, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 250.188,
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: 1239.9897, usercpu_time_millis: 244.169, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 243.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6448.0167, mean_absolute_error: 0.0059, 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: 0.0226, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1389, scimark_benchmark: 1255.3618, usercpu_time_millis: 386.775, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 383.899,

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