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: 5632.9484, mean_absolute_error: 0.0522, 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: 0.2002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2564, scimark_benchmark: 1206.8744, usercpu_time_millis: 155.096, usercpu_time_millis_testing: 7.99, usercpu_time_millis_training: 147.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.6867, 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: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0688, scimark_benchmark: 1235.7195, usercpu_time_millis: 32.124, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 30.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.0977, 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: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0672, scimark_benchmark: 1274.0775, usercpu_time_millis: 508.151, usercpu_time_millis_testing: 7.399, usercpu_time_millis_training: 500.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2491, 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, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0, root_relative_squared_error: 0.0001, scimark_benchmark: 1270.0732, usercpu_time_millis: 314.139, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 309.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2712, 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: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1224.3024, usercpu_time_millis: 473.939, usercpu_time_millis_testing: 7.237, usercpu_time_millis_training: 466.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6543.6578, mean_absolute_error: 0.0027, 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: 0.0104, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659, scimark_benchmark: 1259.2407, usercpu_time_millis: 412.113, usercpu_time_millis_testing: 6.488, usercpu_time_millis_training: 405.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6380.5456, mean_absolute_error: 0.0094, 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: 0.0359, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1241, scimark_benchmark: 1271.4188, usercpu_time_millis: 9.306, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 8.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9538, kappa: 0.8129, kb_relative_information_score: 4172.4475, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9589, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.5107, scimark_benchmark: 1265.9603, usercpu_time_millis: 213.109, usercpu_time_millis_testing: 17.067, usercpu_time_millis_training: 196.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6118.9282, mean_absolute_error: 0.0262, 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: 0.1005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1743, scimark_benchmark: 1277.1085, usercpu_time_millis: 219.978, usercpu_time_millis_testing: 7.238, usercpu_time_millis_training: 212.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4138, 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: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1231.0114, usercpu_time_millis: 73.903, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 71.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.1218, 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: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.004, root_relative_squared_error: 0.011, scimark_benchmark: 1233.4704, usercpu_time_millis: 489.661, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 482.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6516.0196, mean_absolute_error: 0.0044, 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: 0.0168, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0286, root_relative_squared_error: 0.0793, scimark_benchmark: 1283.8021, usercpu_time_millis: 19.332, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 18.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.968, kappa: 0.8724, kb_relative_information_score: 4382.5483, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9704, predictive_accuracy: 0.9694, prior_entropy: 0.6204, recall: 0.9694, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4677, scimark_benchmark: 1254.1798, usercpu_time_millis: 14.878, usercpu_time_millis_testing: 1.572, usercpu_time_millis_training: 13.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6418.2095, mean_absolute_error: 0.0104, 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: 0.0398, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0322, root_relative_squared_error: 0.0892, scimark_benchmark: 1272.7369, usercpu_time_millis: 22.517, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 21.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.146, 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: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0029, root_relative_squared_error: 0.0079, scimark_benchmark: 1241.5124, usercpu_time_millis: 307.225, usercpu_time_millis_testing: 6.434, usercpu_time_millis_training: 300.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6573.9098, 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: 0.0053, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0041, root_relative_squared_error: 0.0115, scimark_benchmark: 1265.0553, usercpu_time_millis: 586.294, usercpu_time_millis_testing: 7.808, usercpu_time_millis_training: 578.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6495.5826, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0501, scimark_benchmark: 1232.5943, usercpu_time_millis: 33.335, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 31.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.0154, 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: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0033, scimark_benchmark: 1228.0232, usercpu_time_millis: 479.525, usercpu_time_millis_testing: 6.399, usercpu_time_millis_training: 473.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6546.3483, mean_absolute_error: 0.0024, 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: 0.0091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0795, scimark_benchmark: 1280.2631, usercpu_time_millis: 21.43, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 19.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.7151, 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: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1225.6935, usercpu_time_millis: 663.102, usercpu_time_millis_testing: 8.236, usercpu_time_millis_training: 654.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6541.2753, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.081, scimark_benchmark: 1269.6633, usercpu_time_millis: 43.547, usercpu_time_millis_testing: 2.125, usercpu_time_millis_training: 41.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6587.6793, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0024, root_relative_squared_error: 0.0066, scimark_benchmark: 1280.1639, usercpu_time_millis: 224.696, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 221.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6555.9544, mean_absolute_error: 0.0019, 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: 0.0074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659, scimark_benchmark: 1227.3219, usercpu_time_millis: 564.792, usercpu_time_millis_testing: 8.415, usercpu_time_millis_training: 556.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6561.7364, mean_absolute_error: 0.0013, 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: 0.0049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0305, root_relative_squared_error: 0.0846, scimark_benchmark: 1226.0561, usercpu_time_millis: 110.045, usercpu_time_millis_testing: 4.98, usercpu_time_millis_training: 105.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6392.9627, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0267, root_relative_squared_error: 0.0739, scimark_benchmark: 1279.3219, usercpu_time_millis: 64.024, usercpu_time_millis_testing: 2.404, usercpu_time_millis_training: 61.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6389.9706, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0767, scimark_benchmark: 1278.5558, usercpu_time_millis: 149.713, usercpu_time_millis_testing: 3.905, usercpu_time_millis_training: 145.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.9152, 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: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0687, scimark_benchmark: 1221.7528, usercpu_time_millis: 301.935, usercpu_time_millis_testing: 6.602, usercpu_time_millis_training: 295.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.2253, 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: 0.0013, root_relative_squared_error: 0.0036, scimark_benchmark: 1267.1137, usercpu_time_millis: 328.537, usercpu_time_millis_testing: 4.559, usercpu_time_millis_training: 323.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6538.0023, mean_absolute_error: 0.0031, 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: 0.0118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0672, scimark_benchmark: 1217.5617, usercpu_time_millis: 164.441, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 160.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5914.6139, mean_absolute_error: 0.037, 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: 0.142, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2122, scimark_benchmark: 1267.6062, usercpu_time_millis: 206.149, usercpu_time_millis_testing: 7.818, usercpu_time_millis_training: 198.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9861, kappa: 0.9458, kb_relative_information_score: 5359.0418, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 0.6204, recall: 0.9864, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3415, scimark_benchmark: 1225.5189, usercpu_time_millis: 270.188, usercpu_time_millis_testing: 14.817, usercpu_time_millis_training: 255.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6472.528, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0182, root_relative_squared_error: 0.0503, scimark_benchmark: 1268.4391, usercpu_time_millis: 131.036, usercpu_time_millis_testing: 4.497, usercpu_time_millis_training: 126.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3955, 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: 0.0249, root_relative_squared_error: 0.0691, scimark_benchmark: 1242.5759, usercpu_time_millis: 252.555, usercpu_time_millis_testing: 5.201, usercpu_time_millis_training: 247.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6584.349, mean_absolute_error: 0.0005, 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: 0.002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0159, root_relative_squared_error: 0.044, scimark_benchmark: 1270.8783, usercpu_time_millis: 135.803, usercpu_time_millis_testing: 5.147, usercpu_time_millis_training: 130.656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8802, 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: 1278.0119, usercpu_time_millis: 98.486, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 96.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.9984, 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: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0013, root_relative_squared_error: 0.0037, scimark_benchmark: 1222.2533, usercpu_time_millis: 336.912, usercpu_time_millis_testing: 4.9, usercpu_time_millis_training: 332.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.3912, 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: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1274.7707, usercpu_time_millis: 234.52, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 230.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6541.1804, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.0252, scimark_benchmark: 1224.5693, usercpu_time_millis: 330.498, usercpu_time_millis_testing: 6.473, usercpu_time_millis_training: 324.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6548.2314, 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: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1223.174, usercpu_time_millis: 38.728, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 36.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6526.5242, 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: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0116, root_relative_squared_error: 0.0322, scimark_benchmark: 1255.0175, usercpu_time_millis: 243.664, usercpu_time_millis_testing: 6.509, usercpu_time_millis_training: 237.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6347.0209, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.0936, scimark_benchmark: 1271.5105, usercpu_time_millis: 89.685, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 87.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6567.9273, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.015, scimark_benchmark: 1269.2087, usercpu_time_millis: 586.63, usercpu_time_millis_testing: 8.16, usercpu_time_millis_training: 578.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.764, 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: 0.0264, root_relative_squared_error: 0.0732, scimark_benchmark: 1220.4628, usercpu_time_millis: 129.781, usercpu_time_millis_testing: 4.118, usercpu_time_millis_training: 125.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6498.4865, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0147, root_relative_squared_error: 0.0408, scimark_benchmark: 1217.6786, usercpu_time_millis: 111.508, usercpu_time_millis_testing: 2.869, usercpu_time_millis_training: 108.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.4286, 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: 0.0257, root_relative_squared_error: 0.0712, scimark_benchmark: 1227.9027, usercpu_time_millis: 274.431, usercpu_time_millis_testing: 7.247, usercpu_time_millis_training: 267.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.5459, 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: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1262.5754, usercpu_time_millis: 280.812, usercpu_time_millis_testing: 4.529, usercpu_time_millis_training: 276.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.4426, mean_absolute_error: 0.0008, 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: 0.0028, root_relative_squared_error: 0.0077, scimark_benchmark: 1221.9979, usercpu_time_millis: 169.851, usercpu_time_millis_testing: 3.254, usercpu_time_millis_training: 166.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8431, 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: 1235.3743, usercpu_time_millis: 366.942, usercpu_time_millis_testing: 5.056, usercpu_time_millis_training: 361.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.5626, 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: 0.0028, root_relative_squared_error: 0.0076, scimark_benchmark: 1225.4334, usercpu_time_millis: 207.082, usercpu_time_millis_testing: 3.328, usercpu_time_millis_training: 203.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3906, 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: 0.0248, root_relative_squared_error: 0.0687, scimark_benchmark: 1274.3948, usercpu_time_millis: 432.209, usercpu_time_millis_testing: 7.987, usercpu_time_millis_training: 424.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6589.3999, 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: 0.0014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0066, root_relative_squared_error: 0.0183, scimark_benchmark: 1269.5636, usercpu_time_millis: 125.923, usercpu_time_millis_testing: 3.358, usercpu_time_millis_training: 122.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8248, 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: 1273.548, usercpu_time_millis: 548.931, usercpu_time_millis_testing: 7.143, usercpu_time_millis_training: 541.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6556.1569, mean_absolute_error: 0.0018, 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: 0.0067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0285, root_relative_squared_error: 0.0789, scimark_benchmark: 1230.4512, usercpu_time_millis: 126.715, usercpu_time_millis_testing: 4.715, usercpu_time_millis_training: 122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2633, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, root_mean_prior_squared_error: 0.3611, scimark_benchmark: 1221.8155, usercpu_time_millis: 216.444, usercpu_time_millis_testing: 3.078, usercpu_time_millis_training: 213.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.8227, 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: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1226.896, usercpu_time_millis: 159.193, usercpu_time_millis_testing: 3.934, usercpu_time_millis_training: 155.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.931, 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: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0696, scimark_benchmark: 1235.472, usercpu_time_millis: 11.07, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 9.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.916, 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: 0.002, root_relative_squared_error: 0.0055, scimark_benchmark: 1254.7231, usercpu_time_millis: 270.049, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 265.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6418.3511, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1259.0081, usercpu_time_millis: 292.838, usercpu_time_millis_testing: 6.549, usercpu_time_millis_training: 286.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6366.3624, mean_absolute_error: 0.0134, 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: 0.0515, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0365, root_relative_squared_error: 0.101, scimark_benchmark: 1232.5039, usercpu_time_millis: 426.847, usercpu_time_millis_testing: 9.783, usercpu_time_millis_training: 417.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6583.8282, 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: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0101, root_relative_squared_error: 0.0281, scimark_benchmark: 1262.8595, usercpu_time_millis: 63.93, usercpu_time_millis_testing: 2.283, usercpu_time_millis_training: 61.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.7532, 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: 0.001, root_relative_squared_error: 0.0028, scimark_benchmark: 1234.4475, usercpu_time_millis: 30.143, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 28.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.2872, 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: 0.025, root_relative_squared_error: 0.0691, scimark_benchmark: 1275.0128, usercpu_time_millis: 194.685, usercpu_time_millis_testing: 5.155, usercpu_time_millis_training: 189.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6549.0108, 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: 0.009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0252, root_relative_squared_error: 0.0698, scimark_benchmark: 1239.651, usercpu_time_millis: 109.993, usercpu_time_millis_testing: 3.165, usercpu_time_millis_training: 106.828,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs