Task
Supervised Classification on chscase_census5

Supervised Classification on chscase_census5

Task 4474 Supervised Classification chscase_census5 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4832, build_cpu_time: 0.0561, build_memory: 3703778500.72, f_measure: 0.4918, kappa: -0.013, kb_relative_information_score: -34.1529, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4939, predictive_accuracy: 0.4973, prior_entropy: 0.9991, recall: 0.4973, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0306, scimark_benchmark: 901.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, build_cpu_time: 0.1091, build_memory: 252938215.44, f_measure: 0.496, kappa: -0.0001, kb_relative_information_score: -29.6856, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5005, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0247, scimark_benchmark: 941.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, build_cpu_time: 0.2147, build_memory: 425110035.92, f_measure: 0.502, kappa: 0.0134, kb_relative_information_score: -27.9233, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5077, predictive_accuracy: 0.5115, prior_entropy: 0.9991, recall: 0.5115, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.0221, scimark_benchmark: 936.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, build_cpu_time: 0.4293, build_memory: 128713599.92, f_measure: 0.5015, kappa: 0.0155, kb_relative_information_score: -27.2139, mean_absolute_error: 0.5024, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.509, predictive_accuracy: 0.513, prior_entropy: 0.9991, recall: 0.513, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0205, scimark_benchmark: 948.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, build_cpu_time: 0.4262, build_memory: 1085001933.44, f_measure: 0.5015, kappa: 0.0155, kb_relative_information_score: -27.2139, mean_absolute_error: 0.5024, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.509, predictive_accuracy: 0.513, prior_entropy: 0.9991, recall: 0.513, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0205, scimark_benchmark: 939.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, build_cpu_time: 3.2737, build_memory: 94755956.88, f_measure: 0.5136, kappa: 0.0314, kb_relative_information_score: 12.3595, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5169, predictive_accuracy: 0.5195, prior_entropy: 0.9991, recall: 0.5195, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0166, scimark_benchmark: 949.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, build_cpu_time: 2.3994, build_memory: 1178287822, f_measure: 0.5181, kappa: 0.0395, kb_relative_information_score: 16.7373, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.521, predictive_accuracy: 0.5233, prior_entropy: 0.9991, recall: 0.5233, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0169, scimark_benchmark: 806.2657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, build_cpu_time: 0.1381, build_memory: 502278334.24, f_measure: 0.5007, kappa: 0.0004, kb_relative_information_score: -23.01, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5008, predictive_accuracy: 0.5023, prior_entropy: 0.9991, recall: 0.5023, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6336, root_relative_squared_error: 1.2679, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, build_cpu_time: 0.2736, build_memory: 347902910.4, f_measure: 0.4974, kappa: -0.0059, kb_relative_information_score: -8.1609, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4976, predictive_accuracy: 0.4993, prior_entropy: 0.9991, recall: 0.4993, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6477, root_relative_squared_error: 1.2962, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, build_cpu_time: 0.5229, build_memory: 693960214.64, f_measure: 0.5015, kappa: 0.0022, kb_relative_information_score: -1.197, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5017, predictive_accuracy: 0.5033, prior_entropy: 0.9991, recall: 0.5033, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6604, root_relative_squared_error: 1.3217, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, build_cpu_time: 1.1382, build_memory: 1266252210.56, f_measure: 0.498, kappa: -0.0052, kb_relative_information_score: 3.1641, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.498, predictive_accuracy: 0.4993, prior_entropy: 0.9991, recall: 0.4993, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6745, root_relative_squared_error: 1.3499, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, build_cpu_time: 2.2738, build_memory: 1379436925.76, f_measure: 0.502, kappa: 0.0027, kb_relative_information_score: 28.0402, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.502, predictive_accuracy: 0.503, prior_entropy: 0.9991, recall: 0.503, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.683, root_relative_squared_error: 1.3668, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3528, kappa: -0.0064, kb_relative_information_score: -11.738, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3432, predictive_accuracy: 0.5143, prior_entropy: 0.9991, recall: 0.5143, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0038, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3507, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.4921, kappa: -0.0085, kb_relative_information_score: -5.0395, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4962, predictive_accuracy: 0.5003, prior_entropy: 0.9991, recall: 0.5003, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7069, root_relative_squared_error: 1.4147, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4934, kappa: -0.0144, kb_relative_information_score: -49.1166, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4934, predictive_accuracy: 0.4948, prior_entropy: 0.9991, recall: 0.4948, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7108, root_relative_squared_error: 1.4225, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.3528, kappa: -0.0064, kb_relative_information_score: -11.2424, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3432, predictive_accuracy: 0.5143, prior_entropy: 0.9991, recall: 0.5143, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0037, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.4347, kappa: 0.0148, kb_relative_information_score: 159.2478, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5181, predictive_accuracy: 0.5208, prior_entropy: 0.9991, recall: 0.5208, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6923, root_relative_squared_error: 1.3854, scimark_benchmark: 1317.1452, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5002, kappa: -0.0008, kb_relative_information_score: -5.0395, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5002, predictive_accuracy: 0.5003, prior_entropy: 0.9991, recall: 0.5003, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7069, root_relative_squared_error: 1.4147, scimark_benchmark: 1321.9426, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.4295, kappa: -0.0298, kb_relative_information_score: -45.0637, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4738, predictive_accuracy: 0.4975, prior_entropy: 0.9991, recall: 0.4975, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0394, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4767, f_measure: 0.4859, kappa: -0.0184, kb_relative_information_score: -75.9071, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4908, predictive_accuracy: 0.4958, prior_entropy: 0.9991, recall: 0.4958, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.0999, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.4804, kappa: -0.0406, kb_relative_information_score: -163.3164, mean_absolute_error: 0.5195, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4804, predictive_accuracy: 0.4805, prior_entropy: 0.9991, recall: 0.4805, relative_absolute_error: 1.0403, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7208, root_relative_squared_error: 1.4424, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4888, kappa: -0.0203, kb_relative_information_score: -41.394, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4902, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0409, scimark_benchmark: 1319.6463, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4459, f_measure: 0.4759, kappa: -0.0419, kb_relative_information_score: -86.5331, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4787, predictive_accuracy: 0.4835, prior_entropy: 0.9991, recall: 0.4835, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0322, scimark_benchmark: 924.3698, usercpu_time_millis: 5020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.4648, kappa: -0.0576, kb_relative_information_score: -193.3689, mean_absolute_error: 0.5233, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4696, predictive_accuracy: 0.4768, prior_entropy: 0.9991, recall: 0.4768, relative_absolute_error: 1.0478, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7234, root_relative_squared_error: 1.4476, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.3752, kappa: -0.0233, kb_relative_information_score: -20.1223, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4413, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0036, scimark_benchmark: 944.5495, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4815, f_measure: 0.41, kappa: -0.0379, kb_relative_information_score: -49.1166, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4591, predictive_accuracy: 0.4948, prior_entropy: 0.9991, recall: 0.4948, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7108, root_relative_squared_error: 1.4225, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3554, kappa: -0.0008, kb_relative_information_score: 129.1952, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4745, predictive_accuracy: 0.517, prior_entropy: 0.9991, recall: 0.517, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.695, root_relative_squared_error: 1.3908, scimark_benchmark: 1287.514, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5002, kb_relative_information_score: -7.043, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5006, predictive_accuracy: 0.5, prior_entropy: 0.9991, recall: 0.5, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4151, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4791, f_measure: 0.4865, kappa: -0.0274, kb_relative_information_score: -92.9869, mean_absolute_error: 0.5106, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4868, predictive_accuracy: 0.4888, prior_entropy: 0.9991, recall: 0.4888, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1772, scimark_benchmark: 1384.4418, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4649, kappa: -0.0716, kb_relative_information_score: -143.1285, mean_absolute_error: 0.5155, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4647, predictive_accuracy: 0.466, prior_entropy: 0.9991, recall: 0.466, relative_absolute_error: 1.0322, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5646, root_relative_squared_error: 1.1298, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.4888, kappa: -0.0058, kb_relative_information_score: -11.4671, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4974, predictive_accuracy: 0.503, prior_entropy: 0.9991, recall: 0.503, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.0121, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.4975, kappa: 0.001, kb_relative_information_score: -22.1164, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5011, predictive_accuracy: 0.5048, prior_entropy: 0.9991, recall: 0.5048, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0167, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4682, f_measure: 0.4877, kappa: -0.0196, kb_relative_information_score: -60.5834, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4904, predictive_accuracy: 0.4943, prior_entropy: 0.9991, recall: 0.4943, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0313, scimark_benchmark: 933.3136, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4535, f_measure: 0.483, kappa: -0.0331, kb_relative_information_score: -105.6961, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4838, predictive_accuracy: 0.4865, prior_entropy: 0.9991, recall: 0.4865, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0509, scimark_benchmark: 1318.1432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4476, f_measure: 0.4729, kappa: -0.0523, kb_relative_information_score: -137.8032, mean_absolute_error: 0.5146, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4739, predictive_accuracy: 0.4773, prior_entropy: 0.9991, recall: 0.4773, relative_absolute_error: 1.0304, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0705, scimark_benchmark: 909.1698, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3122, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 939.5205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.5008, kappa: 0.0029, kb_relative_information_score: -25.9199, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5021, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0293, scimark_benchmark: 887.6719, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4779, f_measure: 0.4563, kappa: 0.004, kb_relative_information_score: -28.6343, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5039, predictive_accuracy: 0.5133, prior_entropy: 0.9991, recall: 0.5133, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0267, scimark_benchmark: 833.3193, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4706, f_measure: 0.4829, kappa: -0.0221, kb_relative_information_score: -34.342, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4887, predictive_accuracy: 0.4943, prior_entropy: 0.9991, recall: 0.4943, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0146, scimark_benchmark: 1307.3764, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3122, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1151.3336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.478, f_measure: 0.4836, kappa: -0.0277, kb_relative_information_score: -37.9567, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4862, predictive_accuracy: 0.4903, prior_entropy: 0.9991, recall: 0.4903, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0242, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4928, kappa: -0.0085, kb_relative_information_score: -28.4593, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4962, predictive_accuracy: 0.5, prior_entropy: 0.9991, recall: 0.5, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6665, root_relative_squared_error: 1.3339, scimark_benchmark: 1350.4702, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4945, kappa: -0.0009, kb_relative_information_score: -70.0336, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5001, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0454, scimark_benchmark: 1449.4352, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, f_measure: 0.484, kappa: -0.0232, kb_relative_information_score: -37.0928, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4884, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0167, 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: 0.4701, f_measure: 0.4859, kappa: -0.0176, kb_relative_information_score: -35.5241, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4912, predictive_accuracy: 0.4963, prior_entropy: 0.9991, recall: 0.4963, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0154, scimark_benchmark: 1342.2985, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.3549, kappa: -0.0121, kb_relative_information_score: 83.572, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.3792, predictive_accuracy: 0.5113, prior_entropy: 0.9991, recall: 0.5113, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3981, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4945, kappa: -0.0009, kb_relative_information_score: -70.0336, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5001, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0454, scimark_benchmark: 1339.9935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, f_measure: 0.4945, kappa: -0.0009, kb_relative_information_score: -70.0336, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5001, predictive_accuracy: 0.5045, prior_entropy: 0.9991, recall: 0.5045, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0454, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.5149, kappa: 0.0284, kb_relative_information_score: 62.3714, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.5149, predictive_accuracy: 0.5158, prior_entropy: 0.9991, recall: 0.5158, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2447, scimark_benchmark: 1368.9272, usercpu_time_millis: 2380, usercpu_time_millis_testing: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4888, kappa: -0.0203, kb_relative_information_score: -41.394, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.4902, predictive_accuracy: 0.4933, prior_entropy: 0.9991, recall: 0.4933, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0409, scimark_benchmark: 1357.5655, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1360.6585,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.3319, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 4000, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001, scimark_benchmark: 938.0414,

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