Task
Supervised Classification on chscase_census4

Supervised Classification on chscase_census4

Task 3770 Supervised Classification chscase_census4 547 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.4449, kappa: -0.0908, kb_relative_information_score: -6.5558, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4505, predictive_accuracy: 0.46, prior_entropy: 0.9994, recall: 0.46, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, f_measure: 0.4849, kappa: -0.0225, kb_relative_information_score: -1.4679, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4886, predictive_accuracy: 0.4925, prior_entropy: 0.9994, recall: 0.4925, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.4017, kappa: 0.0333, kb_relative_information_score: 2.2793, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.603, predictive_accuracy: 0.53, prior_entropy: 0.9994, recall: 0.53, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4562, kappa: 0.0247, kb_relative_information_score: 0.817, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5233, predictive_accuracy: 0.5225, prior_entropy: 0.9994, recall: 0.5225, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.4826, kappa: -0.0348, kb_relative_information_score: -2.2265, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.483, predictive_accuracy: 0.4825, prior_entropy: 0.9994, recall: 0.4825, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.4851, kappa: -0.0294, kb_relative_information_score: -1.311, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.485, prior_entropy: 0.9994, recall: 0.485, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.037, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4914, kappa: 0.0173, kb_relative_information_score: -0.9926, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5108, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.4988, kappa: 0.0194, kb_relative_information_score: -1.3787, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5114, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4544, f_measure: 0.4726, kappa: -0.0548, kb_relative_information_score: -26.7304, mean_absolute_error: 0.5322, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.473, predictive_accuracy: 0.4725, prior_entropy: 0.9994, recall: 0.4725, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.4815, kappa: 0.0471, kb_relative_information_score: 7.0513, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5377, predictive_accuracy: 0.5325, prior_entropy: 0.9994, recall: 0.5325, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.4812, kappa: -0.0318, kb_relative_information_score: 3.6132, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4843, predictive_accuracy: 0.4825, prior_entropy: 0.9994, recall: 0.4825, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.0397, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.479, f_measure: 0.4725, kappa: -0.0561, kb_relative_information_score: -7.0987, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4724, predictive_accuracy: 0.4725, prior_entropy: 0.9994, recall: 0.4725, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.4726, kappa: -0.0545, kb_relative_information_score: -4.765, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4732, predictive_accuracy: 0.4725, prior_entropy: 0.9994, recall: 0.4725, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4449, f_measure: 0.4621, kappa: -0.0748, kb_relative_information_score: -9.0393, mean_absolute_error: 0.5085, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4625, predictive_accuracy: 0.465, prior_entropy: 0.9994, recall: 0.465, relative_absolute_error: 1.0179, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.0397, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.037, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5134, kappa: 0.0265, kb_relative_information_score: 5.8053, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5138, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4851, kappa: -0.0294, kb_relative_information_score: -3.537, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.485, prior_entropy: 0.9994, recall: 0.485, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.4976, kappa: 0.0321, kb_relative_information_score: -0.6224, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5199, predictive_accuracy: 0.5225, prior_entropy: 0.9994, recall: 0.5225, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.037, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.037, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4719, f_measure: 0.4943, kappa: 0.0269, kb_relative_information_score: -0.687, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5168, predictive_accuracy: 0.52, prior_entropy: 0.9994, recall: 0.52, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4174, f_measure: 0.4318, kappa: -0.099, kb_relative_information_score: -8.0213, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4416, predictive_accuracy: 0.4575, prior_entropy: 0.9994, recall: 0.4575, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4463, f_measure: 0.4671, kappa: -0.0629, kb_relative_information_score: -19.2132, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4687, predictive_accuracy: 0.4675, prior_entropy: 0.9994, recall: 0.4675, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5634, root_relative_squared_error: 1.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.363, kappa: 0.0009, kb_relative_information_score: 11.4982, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5078, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5043, kappa: 0.0076, kb_relative_information_score: -1.9608, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5043, predictive_accuracy: 0.505, prior_entropy: 0.9994, recall: 0.505, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 11.4982, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.4538, kappa: -0.0038, kb_relative_information_score: 5.4904, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4974, predictive_accuracy: 0.5075, prior_entropy: 0.9994, recall: 0.5075, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4743, f_measure: 0.4587, kappa: -0.0693, kb_relative_information_score: 0.8111, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4633, predictive_accuracy: 0.47, prior_entropy: 0.9994, recall: 0.47, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4079, kappa: -0.0193, kb_relative_information_score: -0.8446, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4754, predictive_accuracy: 0.5025, prior_entropy: 0.9994, recall: 0.5025, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4466, f_measure: 0.4769, kappa: -0.0378, kb_relative_information_score: -16.3779, mean_absolute_error: 0.5173, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4806, predictive_accuracy: 0.485, prior_entropy: 0.9994, recall: 0.485, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.5174, kappa: 0.0363, kb_relative_information_score: 13.5007, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5187, predictive_accuracy: 0.5175, prior_entropy: 0.9994, recall: 0.5175, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.4976, kappa: 0.0321, kb_relative_information_score: -0.6224, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5199, predictive_accuracy: 0.5225, prior_entropy: 0.9994, recall: 0.5225, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0404, scimark_benchmark: 1520.6039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.3402, kappa: 0.0086, kb_relative_information_score: 0.1982, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5582, predictive_accuracy: 0.49, prior_entropy: 0.9994, recall: 0.49, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0221, scimark_benchmark: 1243.6408, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4454, f_measure: 0.4767, kappa: -0.0299, kb_relative_information_score: -4.6117, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4841, predictive_accuracy: 0.49, prior_entropy: 0.9994, recall: 0.49, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0157, scimark_benchmark: 1218.2481, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4665, f_measure: 0.4671, kappa: -0.0671, kb_relative_information_score: -26.4469, mean_absolute_error: 0.5323, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.4675, prior_entropy: 0.9994, recall: 0.4675, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7277, root_relative_squared_error: 1.4561, scimark_benchmark: 1344.6572, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4272, f_measure: 0.436, kappa: -0.1257, kb_relative_information_score: -13.4265, mean_absolute_error: 0.5131, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4364, predictive_accuracy: 0.44, prior_entropy: 0.9994, recall: 0.44, relative_absolute_error: 1.0271, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0504, scimark_benchmark: 1298.9667, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4623, f_measure: 0.4646, kappa: -0.0589, kb_relative_information_score: -5.364, mean_absolute_error: 0.5046, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.469, predictive_accuracy: 0.475, prior_entropy: 0.9994, recall: 0.475, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0262, scimark_benchmark: 629.9955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4188, kappa: -0.0181, kb_relative_information_score: 1.4853, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4804, predictive_accuracy: 0.5025, prior_entropy: 0.9994, recall: 0.5025, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7053, root_relative_squared_error: 1.4113, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4456, kappa: -0.0512, kb_relative_information_score: -14.5353, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4667, predictive_accuracy: 0.4825, prior_entropy: 0.9994, recall: 0.4825, relative_absolute_error: 1.0359, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7194, root_relative_squared_error: 1.4394, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4776, kappa: -0.0448, kb_relative_information_score: -0.1223, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.478, predictive_accuracy: 0.4775, prior_entropy: 0.9994, recall: 0.4775, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.1031, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4595, f_measure: 0.4256, kappa: -0.0125, kb_relative_information_score: 1.7336, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4873, predictive_accuracy: 0.505, prior_entropy: 0.9994, recall: 0.505, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0281, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.4017, kappa: 0.0333, kb_relative_information_score: 2.2793, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.603, predictive_accuracy: 0.53, prior_entropy: 0.9994, recall: 0.53, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0049, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.4815, kappa: 0.0471, kb_relative_information_score: 7.0513, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5377, predictive_accuracy: 0.5325, prior_entropy: 0.9994, recall: 0.5325, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0076, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.4976, kappa: 0.0321, kb_relative_information_score: -0.6224, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5199, predictive_accuracy: 0.5225, prior_entropy: 0.9994, recall: 0.5225, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0404, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5229, kappa: 0.0569, kb_relative_information_score: 25.5162, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5309, predictive_accuracy: 0.5325, prior_entropy: 0.9994, recall: 0.5325, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6837, root_relative_squared_error: 1.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 11.4982, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.4815, kappa: 0.0471, kb_relative_information_score: 7.0513, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5377, predictive_accuracy: 0.5325, prior_entropy: 0.9994, recall: 0.5325, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0076, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.037, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.037, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.5175, kappa: 0.0357, kb_relative_information_score: 6.4021, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5184, predictive_accuracy: 0.5175, prior_entropy: 0.9994, recall: 0.5175, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1872, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5043, kappa: 0.0076, kb_relative_information_score: -1.9608, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5043, predictive_accuracy: 0.505, prior_entropy: 0.9994, recall: 0.505, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 1806.5905, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.5126, kappa: 0.0251, kb_relative_information_score: 10.4516, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.513, predictive_accuracy: 0.5125, prior_entropy: 0.9994, recall: 0.5125, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6932, root_relative_squared_error: 1.387, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4665, f_measure: 0.4671, kappa: -0.0671, kb_relative_information_score: -26.4469, mean_absolute_error: 0.5323, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.4675, prior_entropy: 0.9994, recall: 0.4675, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7277, root_relative_squared_error: 1.4561, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.4815, kappa: 0.0471, kb_relative_information_score: 7.0513, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5377, predictive_accuracy: 0.5325, prior_entropy: 0.9994, recall: 0.5325, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0076, scimark_benchmark: 1877.5305,

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