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OpenML
Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 158595 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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Metric:

158595 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8368, kappa: 0.3223, kb_relative_information_score: 267.0316, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8317, predictive_accuracy: 0.854, prior_entropy: 0.622, recall: 0.854, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.9601, scimark_benchmark: 1313.9994, usercpu_time_millis: 440, usercpu_time_millis_testing: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.8215, kappa: 0.224, kb_relative_information_score: 700.8482, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8358, predictive_accuracy: 0.8587, prior_entropy: 0.622, recall: 0.8587, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3759, root_relative_squared_error: 1.0398, scimark_benchmark: 854.5188, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7746, kb_relative_information_score: 568.7939, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876, scimark_benchmark: 942.9708, usercpu_time_millis: 2220, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.7872, kappa: 0.0583, kb_relative_information_score: 597.0913, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8192, predictive_accuracy: 0.8483, prior_entropy: 0.622, recall: 0.8483, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.0775, scimark_benchmark: 1250.8301, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.8249, kappa: 0.2447, kb_relative_information_score: 126.5452, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.831, predictive_accuracy: 0.8573, prior_entropy: 0.622, recall: 0.8573, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9054, scimark_benchmark: 1307.3269, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.8008, kappa: 0.1523, kb_relative_information_score: 427.3071, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7887, predictive_accuracy: 0.8312, prior_entropy: 0.622, recall: 0.8312, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4109, root_relative_squared_error: 1.1365, scimark_benchmark: 938.343, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.8264, kappa: 0.251, kb_relative_information_score: 147.2891, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8339, predictive_accuracy: 0.8587, prior_entropy: 0.622, recall: 0.8587, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037, scimark_benchmark: 1073.494, usercpu_time_millis: 32300, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 31490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.7869, kappa: 0.0573, kb_relative_information_score: 592.375, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8144, predictive_accuracy: 0.8478, prior_entropy: 0.622, recall: 0.8478, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3901, root_relative_squared_error: 1.0792, scimark_benchmark: 1331.6907, usercpu_time_millis: 2210, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7492, kappa: 0.2896, kb_relative_information_score: -874.9242, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8419, predictive_accuracy: 0.7112, prior_entropy: 0.622, recall: 0.7112, relative_absolute_error: 1.1169, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.4264, scimark_benchmark: 918.6491, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.8249, kappa: 0.2491, kb_relative_information_score: 289.1527, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8267, predictive_accuracy: 0.8549, prior_entropy: 0.622, recall: 0.8549, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.9153, scimark_benchmark: 934.0566, usercpu_time_millis: 230, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.818, kappa: 0.223, kb_relative_information_score: 143.5521, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8142, predictive_accuracy: 0.8473, prior_entropy: 0.622, recall: 0.8473, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.9331, scimark_benchmark: 944.529, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8486, kappa: 0.3687, kb_relative_information_score: 254.8624, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.847, predictive_accuracy: 0.8658, prior_entropy: 0.622, recall: 0.8658, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8851, scimark_benchmark: 1313.5726, usercpu_time_millis: 1150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.8248, kappa: 0.315, kb_relative_information_score: 340.9389, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8213, predictive_accuracy: 0.8288, prior_entropy: 0.622, recall: 0.8288, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.1434, scimark_benchmark: 1315.3881, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.8169, kappa: 0.2112, kb_relative_information_score: 79.9487, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8171, predictive_accuracy: 0.8502, prior_entropy: 0.622, recall: 0.8502, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.9394, scimark_benchmark: 1073.494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.8088, kappa: 0.1705, kb_relative_information_score: 81.1344, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8093, predictive_accuracy: 0.8473, prior_entropy: 0.622, recall: 0.8473, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.9469, scimark_benchmark: 1321.6263, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.8274, kappa: 0.31, kb_relative_information_score: 474.4694, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8214, predictive_accuracy: 0.8359, prior_entropy: 0.622, recall: 0.8359, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.405, root_relative_squared_error: 1.1204, scimark_benchmark: 1294.7826, usercpu_time_millis: 1570, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.774, kappa: 0.1073, kb_relative_information_score: -63.1805, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.767, predictive_accuracy: 0.7819, prior_entropy: 0.622, recall: 0.7819, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.467, root_relative_squared_error: 1.2919, scimark_benchmark: 1313.5005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.817, kappa: 0.223, kb_relative_information_score: 44.1673, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8107, predictive_accuracy: 0.844, prior_entropy: 0.622, recall: 0.844, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.9514, scimark_benchmark: 1358.4523, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.8076, kappa: 0.1864, kb_relative_information_score: 460.3207, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7973, predictive_accuracy: 0.8345, prior_entropy: 0.622, recall: 0.8345, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.1253, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.7934, kappa: 0.0941, kb_relative_information_score: 545.2128, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7923, predictive_accuracy: 0.8431, prior_entropy: 0.622, recall: 0.8431, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.0959, scimark_benchmark: 1464.9318, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.7746, kb_relative_information_score: -2.5866, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.8198, kappa: 0.2495, kb_relative_information_score: 188.1205, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8115, predictive_accuracy: 0.8397, prior_entropy: 0.622, recall: 0.8397, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.369, root_relative_squared_error: 1.0207, scimark_benchmark: 1384.4418, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 931.2336, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 938.2848, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 938.2848, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 942.3168, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 934.5243, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7929, kappa: 0.085, kb_relative_information_score: 627.3365, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8256, predictive_accuracy: 0.8502, prior_entropy: 0.622, recall: 0.8502, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3681, root_relative_squared_error: 1.0182, scimark_benchmark: 936.7115, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8007, kappa: 0.1223, kb_relative_information_score: 585.5776, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.8525, prior_entropy: 0.622, recall: 0.8525, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9867, scimark_benchmark: 876.8277, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7769, kappa: 0.0103, kb_relative_information_score: 581.3208, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.87, predictive_accuracy: 0.8464, prior_entropy: 0.622, recall: 0.8464, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0309, scimark_benchmark: 936.6206, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7768, kappa: 0.0106, kb_relative_information_score: 527.5689, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7734, predictive_accuracy: 0.8445, prior_entropy: 0.622, recall: 0.8445, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9956, scimark_benchmark: 938.4285, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.8295, kappa: 0.2749, kb_relative_information_score: 135.1203, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8287, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9139, scimark_benchmark: 941.7954, usercpu_time_millis: 1700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, build_cpu_time: 0.2614, build_memory: 1408123447.5221, f_measure: 0.8302, kappa: 0.3149, kb_relative_information_score: 457.7488, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8237, predictive_accuracy: 0.8407, prior_entropy: 0.622, recall: 0.8407, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3828, root_relative_squared_error: 1.0589, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, build_cpu_time: 7.5923, build_memory: 656051911.9545, f_measure: 0.8461, kappa: 0.3593, kb_relative_information_score: 678.9531, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8434, predictive_accuracy: 0.863, prior_entropy: 0.622, recall: 0.863, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3669, root_relative_squared_error: 1.015, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, build_cpu_time: 15.5675, build_memory: 803454920.0607, f_measure: 0.8447, kappa: 0.3528, kb_relative_information_score: 669.7846, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8419, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0169, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, build_cpu_time: 25.5112, build_memory: 873828761.7487, f_measure: 0.8454, kappa: 0.3561, kb_relative_information_score: 663.216, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8426, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3678, root_relative_squared_error: 1.0175, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, build_cpu_time: 34.3358, build_memory: 751664216.5576, f_measure: 0.8442, kappa: 0.3524, kb_relative_information_score: 657.6458, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.841, predictive_accuracy: 0.8611, prior_entropy: 0.622, recall: 0.8611, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0193, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, build_cpu_time: 84.8114, build_memory: 1225283843.9943, f_measure: 0.8427, kappa: 0.3475, kb_relative_information_score: 654.0152, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8388, predictive_accuracy: 0.8592, prior_entropy: 0.622, recall: 0.8592, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.369, root_relative_squared_error: 1.0208, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, build_cpu_time: 1.3572, build_memory: 841728424.4817, f_measure: 0.8152, kappa: 0.2591, kb_relative_information_score: 264.2595, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.808, predictive_accuracy: 0.825, prior_entropy: 0.622, recall: 0.825, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.0933, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, build_cpu_time: 0.6746, build_memory: 1362022168.9938, f_measure: 0.8143, kappa: 0.2517, kb_relative_information_score: 277.4189, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8065, predictive_accuracy: 0.8255, prior_entropy: 0.622, recall: 0.8255, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.0842, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, build_cpu_time: 0.3199, build_memory: 800170610.4201, f_measure: 0.8163, kappa: 0.2609, kb_relative_information_score: 268.8409, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8088, predictive_accuracy: 0.8269, prior_entropy: 0.622, recall: 0.8269, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.0737, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, build_cpu_time: 0.1918, build_memory: 1560830832.6449, f_measure: 0.8212, kappa: 0.2761, kb_relative_information_score: 256.0419, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8136, predictive_accuracy: 0.8331, prior_entropy: 0.622, recall: 0.8331, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.0541, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, build_cpu_time: 0.0766, build_memory: 1269473990.6268, f_measure: 0.8226, kappa: 0.2872, kb_relative_information_score: 238.2665, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8158, predictive_accuracy: 0.8326, prior_entropy: 0.622, recall: 0.8326, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0438, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.0535, build_memory: 1056870960.9673, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 0.0543, build_memory: 302330071.4083, f_measure: 0.8188, kappa: 0.2895, kb_relative_information_score: 357.0016, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8147, predictive_accuracy: 0.8236, prior_entropy: 0.622, recall: 0.8236, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1427, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, build_cpu_time: 292.9016, build_memory: 1141215415.7496, f_measure: 0.811, kappa: 0.1815, kb_relative_information_score: 51.4361, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8118, predictive_accuracy: 0.8483, prior_entropy: 0.622, recall: 0.8483, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.9242, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, build_cpu_time: 595.0002, build_memory: 824447365.9213, f_measure: 0.8094, kappa: 0.1693, kb_relative_information_score: 53.9863, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8164, predictive_accuracy: 0.8506, prior_entropy: 0.622, recall: 0.8506, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.9216, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, build_cpu_time: 1295.5097, build_memory: 58643036.8099, f_measure: 0.8238, kappa: 0.2412, kb_relative_information_score: 109.5495, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8282, predictive_accuracy: 0.8559, prior_entropy: 0.622, recall: 0.8559, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.9206, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, build_cpu_time: 65.2218, build_memory: 69391078.3613, f_measure: 0.841, kappa: 0.3617, kb_relative_information_score: 520.5341, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8356, predictive_accuracy: 0.8497, prior_entropy: 0.622, recall: 0.8497, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3694, root_relative_squared_error: 1.0218, scimark_benchmark: 939.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 47.7145, build_memory: 66418174.4865, f_measure: 0.8386, kappa: 0.3525, kb_relative_information_score: 508.4989, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8331, predictive_accuracy: 0.8473, prior_entropy: 0.622, recall: 0.8473, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0246, scimark_benchmark: 886.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 3.9594, build_memory: 114791143.2072, f_measure: 0.826, kappa: 0.2645, kb_relative_information_score: 97.21, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8217, predictive_accuracy: 0.8502, prior_entropy: 0.622, recall: 0.8502, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.95, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 7.6681, build_memory: 355101200.5993, f_measure: 0.8247, kappa: 0.2648, kb_relative_information_score: 227.5996, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8183, predictive_accuracy: 0.8464, prior_entropy: 0.622, recall: 0.8464, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9467, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, build_cpu_time: 16.2379, build_memory: 930636474.7312, f_measure: 0.8322, kappa: 0.3016, kb_relative_information_score: 367.7862, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8266, predictive_accuracy: 0.8506, prior_entropy: 0.622, recall: 0.8506, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.9321, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, build_cpu_time: 31.73, build_memory: 442297876.2598, f_measure: 0.8393, kappa: 0.3427, kb_relative_information_score: 406.977, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8336, predictive_accuracy: 0.8525, prior_entropy: 0.622, recall: 0.8525, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9487, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, build_cpu_time: 59.2043, build_memory: 418235991.0934, f_measure: 0.8379, kappa: 0.3373, kb_relative_information_score: 481.2532, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.832, predictive_accuracy: 0.8511, prior_entropy: 0.622, recall: 0.8511, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.9659, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, build_cpu_time: 2.1583, build_memory: 248640775.8369, f_measure: 0.8358, kappa: 0.3152, kb_relative_information_score: 257.5767, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8312, predictive_accuracy: 0.8544, prior_entropy: 0.622, recall: 0.8544, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9314, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, build_cpu_time: 1.7353, build_memory: 882476088.7587, f_measure: 0.8358, kappa: 0.3152, kb_relative_information_score: 257.5767, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8312, predictive_accuracy: 0.8544, prior_entropy: 0.622, recall: 0.8544, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9314, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, build_cpu_time: 1.731, build_memory: 1250345966.3803, f_measure: 0.8358, kappa: 0.3152, kb_relative_information_score: 257.5767, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8312, predictive_accuracy: 0.8544, prior_entropy: 0.622, recall: 0.8544, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9314, scimark_benchmark: 933.4498,

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