OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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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: 1262.9464, usercpu_time_millis: 257.452, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 256.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6531.6029, mean_absolute_error: 0.0026, 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: 0.0099, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0696, scimark_benchmark: 1272.425, usercpu_time_millis: 410.075, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 407.171,
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: 1266.9113, usercpu_time_millis: 293.694, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 292.905,
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: 1248.3844, usercpu_time_millis: 252.486, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 251.721,
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: 1241.6902, usercpu_time_millis: 287.14, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 286.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9676, kappa: 0.874, kb_relative_information_score: 5388.3699, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9676, predictive_accuracy: 0.9682, prior_entropy: 0.6204, recall: 0.9682, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4234, scimark_benchmark: 1274.5602, usercpu_time_millis: 804.887, usercpu_time_millis_testing: 7.269, usercpu_time_millis_training: 797.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9747, kappa: 0.9022, kb_relative_information_score: 5688.7849, mean_absolute_error: 0.037, 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: 0.1417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.3732, scimark_benchmark: 1268.6161, usercpu_time_millis: 397.842, usercpu_time_millis_testing: 2.62, usercpu_time_millis_training: 395.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9691, kappa: 0.8799, kb_relative_information_score: 5236.5054, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9691, predictive_accuracy: 0.9695, prior_entropy: 0.6204, recall: 0.9695, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.152, root_relative_squared_error: 0.421, scimark_benchmark: 1206.6954, usercpu_time_millis: 381.166, usercpu_time_millis_testing: 2.667, usercpu_time_millis_training: 378.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9868, kappa: 0.9493, kb_relative_information_score: 5974.2836, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2862, scimark_benchmark: 1244.6626, usercpu_time_millis: 352.607, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 349.944,
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: 1217.6096, usercpu_time_millis: 271.946, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 271.133,
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: 1260.3357, usercpu_time_millis: 269.967, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 269.254,
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: 1257.9322, usercpu_time_millis: 271.715, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 270.931,
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: 1258.0649, usercpu_time_millis: 316.766, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 315.847,
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: 1260.3895, usercpu_time_millis: 314.991, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 314.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9762, kappa: 0.9074, kb_relative_information_score: 5706.6461, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.6204, recall: 0.9765, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3673, scimark_benchmark: 1265.2244, usercpu_time_millis: 726.431, usercpu_time_millis_testing: 6.628, usercpu_time_millis_training: 719.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9488, kappa: 0.7996, kb_relative_information_score: 4705.233, mean_absolute_error: 0.0709, 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: 0.2717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.5417, scimark_benchmark: 1265.0656, usercpu_time_millis: 704.726, usercpu_time_millis_testing: 6.412, usercpu_time_millis_training: 698.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9651, kappa: 0.8646, kb_relative_information_score: 5182.2486, mean_absolute_error: 0.056, 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: 0.2146, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4554, scimark_benchmark: 1248.9169, usercpu_time_millis: 645.201, usercpu_time_millis_testing: 6.578, usercpu_time_millis_training: 638.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6532.1667, mean_absolute_error: 0.0028, 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: 0.0106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.0707, scimark_benchmark: 1255.8865, usercpu_time_millis: 483.556, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 479.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9544, kappa: 0.8203, kb_relative_information_score: 4690.5651, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9547, predictive_accuracy: 0.9557, prior_entropy: 0.6204, recall: 0.9557, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.5092, scimark_benchmark: 1254.4147, usercpu_time_millis: 446.13, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 443.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.9797, kb_relative_information_score: 6369.0586, mean_absolute_error: 0.0093, 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: 0.0357, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1777, scimark_benchmark: 1276.8241, usercpu_time_millis: 472.118, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 468.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9585, kappa: 0.8369, kb_relative_information_score: 5082.934, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9587, predictive_accuracy: 0.9595, prior_entropy: 0.6204, recall: 0.9595, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4743, scimark_benchmark: 1257.5197, usercpu_time_millis: 424.629, usercpu_time_millis_testing: 3.118, usercpu_time_millis_training: 421.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6576.5256, mean_absolute_error: 0.0008, 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: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0483, scimark_benchmark: 1271.7693, usercpu_time_millis: 270.291, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 269.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9709, kappa: 0.887, kb_relative_information_score: 5541.6104, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9709, predictive_accuracy: 0.9714, prior_entropy: 0.6204, recall: 0.9714, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.4004, scimark_benchmark: 1251.9079, usercpu_time_millis: 375.52, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 372.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9646, kappa: 0.8624, kb_relative_information_score: 5225.9838, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9645, predictive_accuracy: 0.9651, prior_entropy: 0.6204, recall: 0.9651, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4552, scimark_benchmark: 1264.2696, usercpu_time_millis: 551.92, usercpu_time_millis_testing: 6.65, usercpu_time_millis_training: 545.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6568.0131, mean_absolute_error: 0.0014, 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: 0.0115, root_relative_squared_error: 0.0319, scimark_benchmark: 1247.3004, usercpu_time_millis: 355.613, usercpu_time_millis_testing: 2.923, usercpu_time_millis_training: 352.69,
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: 1233.4443, usercpu_time_millis: 343.661, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 341.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.6338, 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: 0.0452, scimark_benchmark: 1274.4596, usercpu_time_millis: 270.345, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 269.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6549.6806, mean_absolute_error: 0.0018, 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: 0.0067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0809, scimark_benchmark: 1273.6563, usercpu_time_millis: 256.749, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 255.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.986, kappa: 0.9463, kb_relative_information_score: 6103.7297, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 0.6204, recall: 0.9861, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.269, scimark_benchmark: 1257.8199, usercpu_time_millis: 304.931, usercpu_time_millis_testing: 2.926, usercpu_time_millis_training: 302.005,
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: 1274.7592, usercpu_time_millis: 285.378, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 284.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.3274, 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: 0.0209, root_relative_squared_error: 0.0578, scimark_benchmark: 1282.6199, usercpu_time_millis: 279.533, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 278.548,
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: 1259.993, usercpu_time_millis: 235.183, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 234.451,
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: 1253.5131, usercpu_time_millis: 237.007, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 236.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.2404, 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: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0554, scimark_benchmark: 1261.8279, usercpu_time_millis: 227.064, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 226.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8577, 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: 1249.3826, usercpu_time_millis: 379.395, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 376.398,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9653, kappa: 0.8651, kb_relative_information_score: 5193.2294, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9652, predictive_accuracy: 0.9657, prior_entropy: 0.6204, recall: 0.9657, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4579, scimark_benchmark: 1252.1977, usercpu_time_millis: 580.163, usercpu_time_millis_testing: 5.443, usercpu_time_millis_training: 574.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6513.1909, mean_absolute_error: 0.0034, 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: 0.0129, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0343, root_relative_squared_error: 0.0949, scimark_benchmark: 1270.0243, usercpu_time_millis: 374.972, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 372.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6794, 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: 0.0153, root_relative_squared_error: 0.0422, scimark_benchmark: 1255.0633, usercpu_time_millis: 270.204, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 269.335,
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: 1254.7546, usercpu_time_millis: 243.814, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 243.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9923, kappa: 0.9704, kb_relative_information_score: 6280.8886, mean_absolute_error: 0.0123, 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: 0.0473, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2068, scimark_benchmark: 1257.1265, usercpu_time_millis: 385.137, usercpu_time_millis_testing: 2.841, usercpu_time_millis_training: 382.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9341, kappa: 0.7385, kb_relative_information_score: 3910.743, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.934, predictive_accuracy: 0.9365, prior_entropy: 0.6204, recall: 0.9365, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.618, scimark_benchmark: 1281.7332, usercpu_time_millis: 897.776, usercpu_time_millis_testing: 8.481, usercpu_time_millis_training: 889.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6578.4859, 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: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.011, root_relative_squared_error: 0.0304, scimark_benchmark: 1277.1567, usercpu_time_millis: 302.71, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 300.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9595, kappa: 0.8416, kb_relative_information_score: 5077.3403, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.9603, prior_entropy: 0.6204, recall: 0.9603, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4762, scimark_benchmark: 1290.8404, usercpu_time_millis: 776.3, usercpu_time_millis_testing: 5.077, usercpu_time_millis_training: 771.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9768, kappa: 0.9099, kb_relative_information_score: 5722.5069, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3641, scimark_benchmark: 1284.6772, usercpu_time_millis: 777.309, usercpu_time_millis_testing: 4.829, usercpu_time_millis_training: 772.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5289.6041, 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: 0.1935, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4437, scimark_benchmark: 1246.8451, usercpu_time_millis: 689.502, usercpu_time_millis_testing: 7.848, usercpu_time_millis_training: 681.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9655, kappa: 0.8658, kb_relative_information_score: 5193.6679, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9655, predictive_accuracy: 0.9661, prior_entropy: 0.6204, recall: 0.9661, 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: 1256.8694, usercpu_time_millis: 673.594, usercpu_time_millis_testing: 7.138, usercpu_time_millis_training: 666.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9492, kappa: 0.8015, kb_relative_information_score: 4710.4706, mean_absolute_error: 0.0709, 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: 0.2718, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5378, scimark_benchmark: 1249.5943, usercpu_time_millis: 656.979, usercpu_time_millis_testing: 6.649, usercpu_time_millis_training: 650.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.944, kappa: 0.7759, kb_relative_information_score: 4490.7112, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9457, predictive_accuracy: 0.9468, prior_entropy: 0.6204, recall: 0.9468, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5504, scimark_benchmark: 1290.1214, usercpu_time_millis: 641.657, usercpu_time_millis_testing: 5.401, usercpu_time_millis_training: 636.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.964, kappa: 0.8591, kb_relative_information_score: 5202.393, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.964, predictive_accuracy: 0.9647, prior_entropy: 0.6204, recall: 0.9647, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4642, scimark_benchmark: 1252.958, usercpu_time_millis: 567.64, usercpu_time_millis_testing: 6.572, usercpu_time_millis_training: 561.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9688, kappa: 0.8786, kb_relative_information_score: 5220.5917, mean_absolute_error: 0.0519, 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: 0.199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4239, scimark_benchmark: 1290.3243, usercpu_time_millis: 517.369, usercpu_time_millis_testing: 3.462, usercpu_time_millis_training: 513.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9741, kappa: 0.8993, kb_relative_information_score: 5608.977, 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: 0.3864, scimark_benchmark: 1250.4364, usercpu_time_millis: 856.656, usercpu_time_millis_testing: 10.256, usercpu_time_millis_training: 846.4,
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: 1292.491, usercpu_time_millis: 372.673, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 371.404,
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: 1264.0355, usercpu_time_millis: 309.215, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 308.357,
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: 1257.2374, usercpu_time_millis: 310.365, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 309.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5166.9935, 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: 0.4628, scimark_benchmark: 1257.422, usercpu_time_millis: 882.798, usercpu_time_millis_testing: 10.897, usercpu_time_millis_training: 871.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9521, kappa: 0.8103, kb_relative_information_score: 4810.0987, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9527, predictive_accuracy: 0.9538, prior_entropy: 0.6204, recall: 0.9538, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5119, scimark_benchmark: 1236.5096, usercpu_time_millis: 590.564, usercpu_time_millis_testing: 4.271, usercpu_time_millis_training: 586.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6574.5849, 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: 0.0091, root_relative_squared_error: 0.0253, scimark_benchmark: 1247.236, usercpu_time_millis: 377.365, usercpu_time_millis_testing: 4.278, usercpu_time_millis_training: 373.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9903, kappa: 0.9626, kb_relative_information_score: 6154.036, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2424, scimark_benchmark: 1278.9485, usercpu_time_millis: 353.083, usercpu_time_millis_testing: 2.553, usercpu_time_millis_training: 350.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6462.5689, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1368, scimark_benchmark: 1255.1335, usercpu_time_millis: 335.351, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 333.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9727, kappa: 0.8942, kb_relative_information_score: 5411.3173, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9727, predictive_accuracy: 0.973, prior_entropy: 0.6204, recall: 0.973, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3927, scimark_benchmark: 1265.2828, usercpu_time_millis: 417.933, usercpu_time_millis_testing: 3.133, usercpu_time_millis_training: 414.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9765, kappa: 0.9086, kb_relative_information_score: 5747.9433, mean_absolute_error: 0.0327, 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: 0.1254, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.3612, scimark_benchmark: 1249.6875, usercpu_time_millis: 589.017, usercpu_time_millis_testing: 3.836, usercpu_time_millis_training: 585.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9488, kappa: 0.7998, kb_relative_information_score: 4676.4122, mean_absolute_error: 0.0724, 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: 0.2777, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5411, scimark_benchmark: 1246.4194, usercpu_time_millis: 740.911, usercpu_time_millis_testing: 8.335, usercpu_time_millis_training: 732.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.938, kappa: 0.7543, kb_relative_information_score: 4019.374, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.938, predictive_accuracy: 0.9401, prior_entropy: 0.6204, recall: 0.9401, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6075, scimark_benchmark: 1284.4086, usercpu_time_millis: 850.934, usercpu_time_millis_testing: 8.209, usercpu_time_millis_training: 842.725,
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: 1256.182, usercpu_time_millis: 242.166, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 241.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9598, kappa: 0.8424, kb_relative_information_score: 4965.3164, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.6204, recall: 0.9607, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4659, scimark_benchmark: 1265.2431, usercpu_time_millis: 499.532, usercpu_time_millis_testing: 3.256, usercpu_time_millis_training: 496.276,
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: 1250.7415, usercpu_time_millis: 236.16, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 235.418,
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: 1242.004, usercpu_time_millis: 234.569, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 233.785,

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