OpenML
Supervised Classification on chscase_census2

Supervised Classification on chscase_census2

Task 4477 Supervised Classification chscase_census2 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5172, kappa: 0.0343, kb_relative_information_score: 102.6182, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5172, predictive_accuracy: 0.5173, prior_entropy: 0.9998, recall: 0.5173, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0183, scimark_benchmark: 1332.6745, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.518, kappa: 0.0492, kb_relative_information_score: 95.4974, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5264, predictive_accuracy: 0.5265, prior_entropy: 0.9998, recall: 0.5265, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.4966, kappa: -0.0011, kb_relative_information_score: 10.66, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4995, predictive_accuracy: 0.4985, prior_entropy: 0.9998, recall: 0.4985, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.015, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.515, kappa: 0.0419, kb_relative_information_score: 149.3082, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5223, predictive_accuracy: 0.5228, prior_entropy: 0.9998, recall: 0.5228, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0507, scimark_benchmark: 1324.6608, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4892, kappa: -0.021, kb_relative_information_score: -15.4327, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4896, predictive_accuracy: 0.4893, prior_entropy: 0.9998, recall: 0.4893, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0132, scimark_benchmark: 1337.1928, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5046, kappa: 0.0512, kb_relative_information_score: 228.7817, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5315, predictive_accuracy: 0.5288, prior_entropy: 0.9998, recall: 0.5288, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6865, root_relative_squared_error: 1.3731, scimark_benchmark: 1347.7267, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5245, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1338.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1335.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5172, kappa: 0.0343, kb_relative_information_score: 102.6182, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5172, predictive_accuracy: 0.5173, prior_entropy: 0.9998, recall: 0.5173, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0183, scimark_benchmark: 1303.9481, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.518, kappa: 0.0492, kb_relative_information_score: 95.4974, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5264, predictive_accuracy: 0.5265, prior_entropy: 0.9998, recall: 0.5265, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 1349.9643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4993, kappa: 0.0044, kb_relative_information_score: 16.8643, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5023, predictive_accuracy: 0.5013, prior_entropy: 0.9998, recall: 0.5013, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0082, scimark_benchmark: 1338.0691, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5046, kappa: 0.0512, kb_relative_information_score: 228.7817, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5315, predictive_accuracy: 0.5288, prior_entropy: 0.9998, recall: 0.5288, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6865, root_relative_squared_error: 1.3731, scimark_benchmark: 1341.3551, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5046, kappa: 0.0512, kb_relative_information_score: 228.7817, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5315, predictive_accuracy: 0.5288, prior_entropy: 0.9998, recall: 0.5288, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6865, root_relative_squared_error: 1.3731, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4993, kappa: 0.0044, kb_relative_information_score: 16.8643, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5023, predictive_accuracy: 0.5013, prior_entropy: 0.9998, recall: 0.5013, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0082, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5245, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.518, kappa: 0.0492, kb_relative_information_score: 95.4974, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5264, predictive_accuracy: 0.5265, prior_entropy: 0.9998, recall: 0.5265, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1352.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5046, kappa: 0.0512, kb_relative_information_score: 228.7817, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5315, predictive_accuracy: 0.5288, prior_entropy: 0.9998, recall: 0.5288, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6865, root_relative_squared_error: 1.3731, scimark_benchmark: 933.1165, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.5522, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5172, kappa: 0.0343, kb_relative_information_score: 102.6182, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5172, predictive_accuracy: 0.5173, prior_entropy: 0.9998, recall: 0.5173, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0183, scimark_benchmark: 1345.7204, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.4912, kappa: -0.018, kb_relative_information_score: -11.7086, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4911, predictive_accuracy: 0.4913, prior_entropy: 0.9998, recall: 0.4913, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.624, root_relative_squared_error: 1.2481, scimark_benchmark: 1368.9272, usercpu_time_millis: 2750, usercpu_time_millis_testing: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.518, kappa: 0.0492, kb_relative_information_score: 95.4974, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5264, predictive_accuracy: 0.5265, prior_entropy: 0.9998, recall: 0.5265, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5208, kappa: 0.0415, kb_relative_information_score: 126.6449, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5209, predictive_accuracy: 0.5208, prior_entropy: 0.9998, recall: 0.5208, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5564, root_relative_squared_error: 1.1129, scimark_benchmark: 889.3151, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.51, kappa: 0.0199, kb_relative_information_score: 76.5483, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.51, predictive_accuracy: 0.5103, prior_entropy: 0.9998, recall: 0.5103, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0093, scimark_benchmark: 1309.4998, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.5088, kappa: 0.0173, kb_relative_information_score: 47.0746, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5088, predictive_accuracy: 0.509, prior_entropy: 0.9998, recall: 0.509, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0033, scimark_benchmark: 1309.4998, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5042, kappa: 0.008, kb_relative_information_score: 38.2909, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5041, predictive_accuracy: 0.5043, prior_entropy: 0.9998, recall: 0.5043, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067, scimark_benchmark: 1342.2985, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4116, kappa: -0.0049, kb_relative_information_score: -8.9286, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 950.6776,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.38, kappa: 0.0146, kb_relative_information_score: 1.3581, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5348, predictive_accuracy: 0.5008, prior_entropy: 0.9998, recall: 0.5008, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.518, kappa: 0.0492, kb_relative_information_score: 95.4974, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5264, predictive_accuracy: 0.5265, prior_entropy: 0.9998, recall: 0.5265, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.4052, kappa: 0.0221, kb_relative_information_score: 33.6669, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.535, predictive_accuracy: 0.505, prior_entropy: 0.9998, recall: 0.505, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0066, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.481, kappa: -0.0293, kb_relative_information_score: -85.5029, mean_absolute_error: 0.5104, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4848, predictive_accuracy: 0.487, prior_entropy: 0.9998, recall: 0.487, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6471, root_relative_squared_error: 1.2944, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.4913, kappa: -0.0177, kb_relative_information_score: -34.7729, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4913, predictive_accuracy: 0.4913, prior_entropy: 0.9998, recall: 0.4913, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0489, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5111, kappa: 0.0221, kb_relative_information_score: 40.7954, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5112, predictive_accuracy: 0.5115, prior_entropy: 0.9998, recall: 0.5115, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0032, scimark_benchmark: 1307.4861, usercpu_time_millis: 310, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.505, kappa: 0.0098, kb_relative_information_score: 23.3324, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.505, predictive_accuracy: 0.5053, prior_entropy: 0.9998, recall: 0.5053, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0139, scimark_benchmark: 1363.434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.5053, kappa: 0.0116, kb_relative_information_score: 14.4923, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5059, predictive_accuracy: 0.5055, prior_entropy: 0.9998, recall: 0.5055, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.0604, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.5005, kappa: 0.0013, kb_relative_information_score: -12.0485, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5007, predictive_accuracy: 0.5005, prior_entropy: 0.9998, recall: 0.5005, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0494, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.5136, kappa: 0.0269, kb_relative_information_score: 87.9485, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5136, predictive_accuracy: 0.5138, prior_entropy: 0.9998, recall: 0.5138, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0114, scimark_benchmark: 887.6719, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5167, kappa: 0.033, kb_relative_information_score: 93.9867, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5166, predictive_accuracy: 0.5168, prior_entropy: 0.9998, recall: 0.5168, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 912.7324, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.4135, kappa: 0.0011, kb_relative_information_score: 1.7152, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5016, predictive_accuracy: 0.5065, prior_entropy: 0.9998, recall: 0.5065, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.4936, kappa: -0.0119, kb_relative_information_score: -21.8862, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4941, predictive_accuracy: 0.4938, prior_entropy: 0.9998, recall: 0.4938, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0444, scimark_benchmark: 915.6729, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.5035, kappa: 0.0074, kb_relative_information_score: -14.473, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5038, predictive_accuracy: 0.5035, prior_entropy: 0.9998, recall: 0.5035, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.034, scimark_benchmark: 1318.1432, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.507, kappa: 0.0138, kb_relative_information_score: -11.6691, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.507, predictive_accuracy: 0.5073, prior_entropy: 0.9998, recall: 0.5073, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0237, scimark_benchmark: 933.3136, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4998, kappa: -0.0004, kb_relative_information_score: -8.518, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4999, predictive_accuracy: 0.5003, prior_entropy: 0.9998, recall: 0.5003, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0166, scimark_benchmark: 1336.3256, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.4918, kappa: -0.0167, kb_relative_information_score: -18.0913, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4918, predictive_accuracy: 0.4918, prior_entropy: 0.9998, recall: 0.4918, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 934.1747, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.516, kappa: 0.0319, kb_relative_information_score: 70.1022, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5161, predictive_accuracy: 0.5163, prior_entropy: 0.9998, recall: 0.5163, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0847, scimark_benchmark: 1313.9994, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5329, kappa: 0.0655, kb_relative_information_score: 126.8623, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5329, predictive_accuracy: 0.533, prior_entropy: 0.9998, recall: 0.533, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1314, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5052, kappa: 0.0103, kb_relative_information_score: 40.7212, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.5052, predictive_accuracy: 0.5053, prior_entropy: 0.9998, recall: 0.5053, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7034, root_relative_squared_error: 1.4069, scimark_benchmark: 940.3347, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3911, kappa: -0.001, kb_relative_information_score: 46.7232, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4982, predictive_accuracy: 0.506, prior_entropy: 0.9998, recall: 0.506, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4059, scimark_benchmark: 1287.514, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.4842, kappa: -0.018, kb_relative_information_score: -57.3103, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4905, predictive_accuracy: 0.493, prior_entropy: 0.9998, recall: 0.493, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.712, root_relative_squared_error: 1.4242, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.4936, kappa: -0.012, kb_relative_information_score: -10.3143, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4999, number_of_instances: 4000, precision: 0.4941, predictive_accuracy: 0.4938, prior_entropy: 0.9998, recall: 0.4938, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0087, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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