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OpenML
Task
Supervised Classification on glass

Supervised Classification on glass

Task 40 Supervised Classification glass 684 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.6812, kappa: 0.5727, kb_relative_information_score: 124.4047, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6923, predictive_accuracy: 0.6916, prior_entropy: 2.2315, recall: 0.6916, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7836, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 6.5045, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0475, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.329, root_relative_squared_error: 1.0141, scimark_benchmark: 938.343, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.5368, kappa: 0.392, kb_relative_information_score: 28.0778, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5425, predictive_accuracy: 0.5841, prior_entropy: 2.2315, recall: 0.5841, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.9732, scimark_benchmark: 1369.9744, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6444, kappa: 0.5344, kb_relative_information_score: 102.9276, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6271, predictive_accuracy: 0.6682, prior_entropy: 2.2315, recall: 0.6682, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8138, scimark_benchmark: 938.9967, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.3782, kappa: 0.2735, kb_relative_information_score: 68.5365, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4957, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3969, root_relative_squared_error: 1.2234, scimark_benchmark: 1250.8301, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7335, kappa: 0.642, kb_relative_information_score: 121.8777, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7402, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.7421, scimark_benchmark: 1327.8711, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7814, kappa: 0.7098, kb_relative_information_score: 136.2987, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7855, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6492, scimark_benchmark: 1331.6907, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6452, kappa: 0.5205, kb_relative_information_score: 116.5304, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6491, predictive_accuracy: 0.6449, prior_entropy: 2.2315, recall: 0.6449, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9818, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.6478, kappa: 0.525, kb_relative_information_score: 109.756, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6495, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.8575, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7278, kappa: 0.6298, kb_relative_information_score: 123.3377, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7279, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8038, scimark_benchmark: 1355.7054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.6772, kappa: 0.5671, kb_relative_information_score: 124.8945, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6772, predictive_accuracy: 0.6822, prior_entropy: 2.2315, recall: 0.6822, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9287, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1612, kb_relative_information_score: 25.8518, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.107, predictive_accuracy: 0.3271, prior_entropy: 2.2315, recall: 0.3271, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.3514, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7017, kappa: 0.5937, kb_relative_information_score: 128.8852, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7049, predictive_accuracy: 0.7009, prior_entropy: 2.2315, recall: 0.7009, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.868, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.4843, kappa: 0.3254, kb_relative_information_score: 76.4981, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4547, predictive_accuracy: 0.528, prior_entropy: 2.2315, recall: 0.528, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3672, root_relative_squared_error: 1.1318, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.6861, kappa: 0.59, kb_relative_information_score: 129.7502, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.681, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.8517, scimark_benchmark: 938.2848, usercpu_time_millis: 6800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7011, kappa: 0.6001, kb_relative_information_score: 133.915, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7058, predictive_accuracy: 0.7009, prior_entropy: 2.2315, recall: 0.7009, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.901, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.1861, kb_relative_information_score: 0.1616, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.6753, kappa: 0.5606, kb_relative_information_score: 124.9449, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6754, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.878, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 942.6953, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 939.7623, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 939.7623, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 926.6717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 876.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7496, kappa: 0.6627, kb_relative_information_score: 141.9284, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7511, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.803, scimark_benchmark: 934.5243, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.7497, kappa: 0.6622, kb_relative_information_score: 142.1607, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7518, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7668, scimark_benchmark: 938.2848, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7407, kappa: 0.6493, kb_relative_information_score: 139.689, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7428, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7489, scimark_benchmark: 910.8389, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.7269, kappa: 0.6276, kb_relative_information_score: 134.7903, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7298, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7394, scimark_benchmark: 933.8635, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.6995, kappa: 0.5962, kb_relative_information_score: 125.5584, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7128, predictive_accuracy: 0.7103, prior_entropy: 2.2315, recall: 0.7103, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.7573, scimark_benchmark: 938.9865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.1861, kb_relative_information_score: 0.1616, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.756, kappa: 0.669, kb_relative_information_score: 142.7037, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.76, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.6755, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0192, build_memory: 390337071.0654, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0153, build_memory: 1002820960.0374, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.1412, build_memory: 83811569.1215, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.1411, build_memory: 456426287.7757, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.1586, build_memory: 1376029062.3551, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 943.8134,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.1716, build_memory: 66654471.1028, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, build_cpu_time: 85.0211, build_memory: 72161044.4112, f_measure: 0.78, kappa: 0.7042, kb_relative_information_score: 149.6329, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7796, predictive_accuracy: 0.785, prior_entropy: 2.2315, recall: 0.785, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.762, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 40.7392, build_memory: 2432187766.5047, f_measure: 0.7709, kappa: 0.6913, kb_relative_information_score: 148.4402, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7716, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.7741, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 21.5995, build_memory: 775973514.1308, f_measure: 0.7417, kappa: 0.6521, kb_relative_information_score: 142.925, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7419, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8117, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 10.5908, build_memory: 914539316.5981, f_measure: 0.7321, kappa: 0.6385, kb_relative_information_score: 139.0179, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7326, predictive_accuracy: 0.7383, prior_entropy: 2.2315, recall: 0.7383, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8213, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 4.9873, build_memory: 1452008942.4673, f_measure: 0.734, kappa: 0.6372, kb_relative_information_score: 139.1349, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7367, predictive_accuracy: 0.7383, prior_entropy: 2.2315, recall: 0.7383, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.7944, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 0.3599, build_memory: 235721157.4206, f_measure: 0.7185, kappa: 0.6313, kb_relative_information_score: 135.5967, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7144, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.7543, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 0.7823, build_memory: 949759364.0374, f_measure: 0.7469, kappa: 0.6585, kb_relative_information_score: 140.0589, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7484, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.7731, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 1.3539, build_memory: 197088762.9533, f_measure: 0.7629, kappa: 0.6847, kb_relative_information_score: 145.4344, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7647, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.7588, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 2.9071, build_memory: 896029694.6916, f_measure: 0.7602, kappa: 0.6768, kb_relative_information_score: 147.2449, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7621, predictive_accuracy: 0.7664, prior_entropy: 2.2315, recall: 0.7664, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7621, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 5.4316, build_memory: 335370769.5701, f_measure: 0.764, kappa: 0.6852, kb_relative_information_score: 148.0243, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7641, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7715, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, build_cpu_time: 2.2587, build_memory: 1066002316.1495, f_measure: 0.7438, kappa: 0.6551, kb_relative_information_score: 139.5732, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7472, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.8111, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, build_cpu_time: 1.1537, build_memory: 717677294.8785, f_measure: 0.7482, kappa: 0.6617, kb_relative_information_score: 140.0211, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.751, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.8024, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, build_cpu_time: 0.2368, build_memory: 1015486214.3178, f_measure: 0.7327, kappa: 0.6424, kb_relative_information_score: 137.0521, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7332, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.8051, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, build_cpu_time: 0.1696, build_memory: 661508103.514, f_measure: 0.7522, kappa: 0.6642, kb_relative_information_score: 141.7606, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7544, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.768, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, build_cpu_time: 0.0514, build_memory: 239069698.0935, f_measure: 0.7491, kappa: 0.6634, kb_relative_information_score: 143.4715, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7544, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7965, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, build_cpu_time: 0.0887, build_memory: 59587198.729, f_measure: 0.7523, kappa: 0.6678, kb_relative_information_score: 143.5821, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7544, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.8009, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, build_cpu_time: 0.1883, build_memory: 49519018.243, f_measure: 0.7546, kappa: 0.6682, kb_relative_information_score: 145.6445, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.757, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7929, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, build_cpu_time: 0.3539, build_memory: 83589813.1963, f_measure: 0.7695, kappa: 0.688, kb_relative_information_score: 148.0116, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7728, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7821, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, build_cpu_time: 0.764, build_memory: 378394036.3738, f_measure: 0.7687, kappa: 0.6884, kb_relative_information_score: 147.2012, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7702, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.7883, scimark_benchmark: 937.6343,

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