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: 6567.0009, mean_absolute_error: 0.0012, 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: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676, scimark_benchmark: 1209.4473, usercpu_time_millis: 305.361, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 300.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6361.7023, mean_absolute_error: 0.0141, 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: 0.0542, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0348, root_relative_squared_error: 0.0962, scimark_benchmark: 1272.1026, usercpu_time_millis: 309.913, usercpu_time_millis_testing: 9.778, usercpu_time_millis_training: 300.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.7244, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0027, root_relative_squared_error: 0.0076, scimark_benchmark: 1270.9272, usercpu_time_millis: 328.267, usercpu_time_millis_testing: 5.906, usercpu_time_millis_training: 322.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6587.608, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0123, root_relative_squared_error: 0.0342, scimark_benchmark: 1278.8137, usercpu_time_millis: 175.233, usercpu_time_millis_testing: 5.571, usercpu_time_millis_training: 169.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6193.8076, mean_absolute_error: 0.0237, 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: 0.0909, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1344, scimark_benchmark: 1229.2556, usercpu_time_millis: 75.119, usercpu_time_millis_testing: 3.135, usercpu_time_millis_training: 71.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2788, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0022, scimark_benchmark: 1217.6119, usercpu_time_millis: 536.789, usercpu_time_millis_testing: 7.709, usercpu_time_millis_training: 529.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6527.4225, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0114, root_relative_squared_error: 0.0315, scimark_benchmark: 1207.4505, usercpu_time_millis: 151.831, usercpu_time_millis_testing: 3.339, usercpu_time_millis_training: 148.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6533.314, mean_absolute_error: 0.0034, 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: 0.013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1264.9734, usercpu_time_millis: 100.971, usercpu_time_millis_testing: 2.643, usercpu_time_millis_training: 98.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9865, kb_relative_information_score: 5493.204, mean_absolute_error: 0.0567, 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: 0.2172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2943, scimark_benchmark: 1225.3142, usercpu_time_millis: 118.929, usercpu_time_millis_testing: 5.94, usercpu_time_millis_training: 112.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6538.3742, mean_absolute_error: 0.003, 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: 0.0116, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.0707, scimark_benchmark: 1274.0681, usercpu_time_millis: 77.467, usercpu_time_millis_testing: 2.649, usercpu_time_millis_training: 74.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.579, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.002, root_relative_squared_error: 0.0056, scimark_benchmark: 1261.7169, usercpu_time_millis: 175.669, usercpu_time_millis_testing: 3.238, usercpu_time_millis_training: 172.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6562.104, mean_absolute_error: 0.0015, 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: 0.0057, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.026, root_relative_squared_error: 0.072, scimark_benchmark: 1246.3734, usercpu_time_millis: 174.481, usercpu_time_millis_testing: 4.997, usercpu_time_millis_training: 169.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6440.1101, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0595, scimark_benchmark: 1235.802, usercpu_time_millis: 239.94, usercpu_time_millis_testing: 6.025, usercpu_time_millis_training: 233.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6421.462, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.0652, scimark_benchmark: 1265.7683, usercpu_time_millis: 190.031, usercpu_time_millis_testing: 6.135, usercpu_time_millis_training: 183.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4, mean_absolute_error: 0.0007, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1219.4987, usercpu_time_millis: 144.708, usercpu_time_millis_testing: 2.649, usercpu_time_millis_training: 142.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.196, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0041, root_relative_squared_error: 0.0113, scimark_benchmark: 1269.1934, usercpu_time_millis: 33.175, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 31.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.2546, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0235, scimark_benchmark: 1273.2598, usercpu_time_millis: 185.371, usercpu_time_millis_testing: 4.901, usercpu_time_millis_training: 180.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6100.5744, mean_absolute_error: 0.0269, 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: 0.103, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1737, scimark_benchmark: 1246.0979, usercpu_time_millis: 17.806, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 16.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6555.5323, mean_absolute_error: 0.002, 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: 0.0075, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0672, scimark_benchmark: 1275.8234, usercpu_time_millis: 252.324, usercpu_time_millis_testing: 5.822, usercpu_time_millis_training: 246.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.5385, 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: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1211.7385, usercpu_time_millis: 46.785, usercpu_time_millis_testing: 1.599, usercpu_time_millis_training: 45.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6472.5767, mean_absolute_error: 0.0072, 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: 0.0278, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0748, scimark_benchmark: 1233.6242, usercpu_time_millis: 78.606, usercpu_time_millis_testing: 2.647, usercpu_time_millis_training: 75.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6180.4724, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1479, scimark_benchmark: 1241.7144, usercpu_time_millis: 157.947, usercpu_time_millis_testing: 4.377, usercpu_time_millis_training: 153.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8609, mean_absolute_error: 0.0006, 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: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1234.277, usercpu_time_millis: 327.529, usercpu_time_millis_testing: 6.138, usercpu_time_millis_training: 321.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.3516, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0033, root_relative_squared_error: 0.0091, scimark_benchmark: 1228.7796, usercpu_time_millis: 377.097, usercpu_time_millis_testing: 7.969, usercpu_time_millis_training: 369.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6549.5464, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0231, scimark_benchmark: 1216.9737, usercpu_time_millis: 289.558, usercpu_time_millis_testing: 4.862, usercpu_time_millis_training: 284.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9829, kappa: 0.9331, kb_relative_information_score: 5043.4077, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3817, scimark_benchmark: 1274.4044, usercpu_time_millis: 265.811, usercpu_time_millis_testing: 15.593, usercpu_time_millis_training: 250.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6550.6662, mean_absolute_error: 0.0023, 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: 0.0087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0647, scimark_benchmark: 1223.4793, usercpu_time_millis: 586.414, usercpu_time_millis_testing: 7.986, usercpu_time_millis_training: 578.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8957, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0023, scimark_benchmark: 1264.6259, usercpu_time_millis: 302.832, usercpu_time_millis_testing: 4.456, usercpu_time_millis_training: 298.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.5204, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0058, root_relative_squared_error: 0.0162, scimark_benchmark: 1225.3042, usercpu_time_millis: 304.019, usercpu_time_millis_testing: 7.545, usercpu_time_millis_training: 296.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6007.6558, mean_absolute_error: 0.0325, 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: 0.1245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1926, scimark_benchmark: 1269.2736, usercpu_time_millis: 355.667, usercpu_time_millis_testing: 11.183, usercpu_time_millis_training: 344.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6546.0062, mean_absolute_error: 0.0026, 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: 0.0098, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0662, scimark_benchmark: 1270.0194, usercpu_time_millis: 351.132, usercpu_time_millis_testing: 6.133, usercpu_time_millis_training: 344.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6570.4938, mean_absolute_error: 0.0013, 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: 0.005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0513, scimark_benchmark: 1264.5859, usercpu_time_millis: 112.492, usercpu_time_millis_testing: 4.928, usercpu_time_millis_training: 107.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.3361, mean_absolute_error: 0.0007, 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: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1267.3864, usercpu_time_millis: 294.337, usercpu_time_millis_testing: 4.308, usercpu_time_millis_training: 290.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6439.5288, mean_absolute_error: 0.0098, 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: 0.0376, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659, scimark_benchmark: 1271.3191, usercpu_time_millis: 211.49, usercpu_time_millis_testing: 8.9, usercpu_time_millis_training: 202.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6582.988, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0165, root_relative_squared_error: 0.0456, scimark_benchmark: 1283.8369, usercpu_time_millis: 46.696, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 44.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.8501, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0032, root_relative_squared_error: 0.009, scimark_benchmark: 1234.4794, usercpu_time_millis: 97.187, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 94.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.0636, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0046, scimark_benchmark: 1285.5265, usercpu_time_millis: 451.78, usercpu_time_millis_testing: 6.352, usercpu_time_millis_training: 445.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6428.5278, mean_absolute_error: 0.01, 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: 0.0384, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0293, root_relative_squared_error: 0.081, scimark_benchmark: 1242.4773, usercpu_time_millis: 451.523, usercpu_time_millis_testing: 11.156, usercpu_time_millis_training: 440.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.0853, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0062, root_relative_squared_error: 0.0173, scimark_benchmark: 1280.2581, usercpu_time_millis: 297.28, usercpu_time_millis_testing: 7.455, usercpu_time_millis_training: 289.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6330.9821, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0923, scimark_benchmark: 1240.7409, usercpu_time_millis: 316.259, usercpu_time_millis_testing: 8.878, usercpu_time_millis_training: 307.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5870.8899, mean_absolute_error: 0.0392, 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: 0.1503, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2221, scimark_benchmark: 1243.1404, usercpu_time_millis: 257.433, usercpu_time_millis_testing: 9.571, usercpu_time_millis_training: 247.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.2489, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0005, root_relative_squared_error: 0.0015, scimark_benchmark: 1234.1451, usercpu_time_millis: 567.57, usercpu_time_millis_testing: 6.606, usercpu_time_millis_training: 560.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.4464, mean_absolute_error: 0.0008, 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: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.07, scimark_benchmark: 1281.9247, usercpu_time_millis: 220.689, usercpu_time_millis_testing: 5.622, usercpu_time_millis_training: 215.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.4554, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0071, root_relative_squared_error: 0.0196, scimark_benchmark: 1253.8682, usercpu_time_millis: 90.623, usercpu_time_millis_testing: 2.599, usercpu_time_millis_training: 88.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6571.4736, mean_absolute_error: 0.0009, 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: 0.0035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0674, scimark_benchmark: 1265.3085, usercpu_time_millis: 348.984, usercpu_time_millis_testing: 5.335, usercpu_time_millis_training: 343.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6348.9442, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0855, scimark_benchmark: 1283.3404, usercpu_time_millis: 112.274, usercpu_time_millis_testing: 3.815, usercpu_time_millis_training: 108.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6304.3492, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0983, scimark_benchmark: 1250.1574, usercpu_time_millis: 221.216, usercpu_time_millis_testing: 7.724, usercpu_time_millis_training: 213.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.7145, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0064, root_relative_squared_error: 0.0176, scimark_benchmark: 1280.5211, usercpu_time_millis: 304.446, usercpu_time_millis_testing: 7.826, usercpu_time_millis_training: 296.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.022, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0034, scimark_benchmark: 1268.9001, usercpu_time_millis: 543.049, usercpu_time_millis_testing: 7.271, usercpu_time_millis_training: 535.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6549.377, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0236, scimark_benchmark: 1238.0616, usercpu_time_millis: 258.699, usercpu_time_millis_testing: 4.346, usercpu_time_millis_training: 254.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6511.924, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0421, scimark_benchmark: 1250.6104, usercpu_time_millis: 160.132, usercpu_time_millis_testing: 5.871, usercpu_time_millis_training: 154.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6424.2934, mean_absolute_error: 0.0102, 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: 0.0393, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0841, scimark_benchmark: 1282.4523, usercpu_time_millis: 43.128, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 41.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6300.5578, mean_absolute_error: 0.0168, 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: 0.0643, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1185, scimark_benchmark: 1282.0919, usercpu_time_millis: 18.094, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 16.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.4193, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.005, scimark_benchmark: 1283.514, usercpu_time_millis: 481.488, usercpu_time_millis_testing: 7.558, usercpu_time_millis_training: 473.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.8618, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0066, root_relative_squared_error: 0.0183, scimark_benchmark: 1285.7719, usercpu_time_millis: 118.699, usercpu_time_millis_testing: 3.446, usercpu_time_millis_training: 115.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.0132, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0117, root_relative_squared_error: 0.0324, scimark_benchmark: 1249.207, usercpu_time_millis: 168.541, usercpu_time_millis_testing: 5.26, usercpu_time_millis_training: 163.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 5926.4137, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2058, scimark_benchmark: 1248.5312, usercpu_time_millis: 134.133, usercpu_time_millis_testing: 5.075, usercpu_time_millis_training: 129.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6563.8165, mean_absolute_error: 0.0014, 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: 0.0054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0668, scimark_benchmark: 1235.0084, usercpu_time_millis: 487.767, usercpu_time_millis_testing: 8.19, usercpu_time_millis_training: 479.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.4937, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0047, scimark_benchmark: 1243.3227, usercpu_time_millis: 173.54, usercpu_time_millis_testing: 3.253, usercpu_time_millis_training: 170.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9691, kb_relative_information_score: 5569.0458, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.6204, recall: 0.9921, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2942, scimark_benchmark: 1248.2546, usercpu_time_millis: 206.21, usercpu_time_millis_testing: 9.511, usercpu_time_millis_training: 196.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6575.2347, 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: 0.0047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0106, root_relative_squared_error: 0.0294, scimark_benchmark: 1238.52, usercpu_time_millis: 288.299, usercpu_time_millis_testing: 8.522, usercpu_time_millis_training: 279.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6533.3404, mean_absolute_error: 0.0033, 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: 0.0126, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0274, root_relative_squared_error: 0.0759, scimark_benchmark: 1278.6815, usercpu_time_millis: 203.019, usercpu_time_millis_testing: 6.753, usercpu_time_millis_training: 196.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6106.506, mean_absolute_error: 0.0278, 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: 0.1066, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1618, scimark_benchmark: 1285.4146, usercpu_time_millis: 80.446, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 77.317,

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