Task
Supervised Classification on disclosure_x_tampered

Supervised Classification on disclosure_x_tampered

Task 3660 Supervised Classification disclosure_x_tampered 574 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.5391, kappa: 0.0881, kb_relative_information_score: 10.5749, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5464, predictive_accuracy: 0.5453, prior_entropy: 0.9999, recall: 0.5453, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.5088, kappa: 0.0175, kb_relative_information_score: 1.9938, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5088, predictive_accuracy: 0.5091, prior_entropy: 0.9999, recall: 0.5091, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.5237, kappa: 0.0551, kb_relative_information_score: 6.6831, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5287, predictive_accuracy: 0.5287, prior_entropy: 0.9999, recall: 0.5287, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.5004, kappa: 0.0069, kb_relative_information_score: 0.1379, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5036, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5237, kappa: 0.0551, kb_relative_information_score: 15.4373, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5287, predictive_accuracy: 0.5287, prior_entropy: 0.9999, recall: 0.5287, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.5149, kappa: 0.0297, kb_relative_information_score: 14.6236, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5149, predictive_accuracy: 0.5151, prior_entropy: 0.9999, recall: 0.5151, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.3473, kappa: -0.0028, kb_relative_information_score: -0.228, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4674, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5133, kappa: 0.0449, kb_relative_information_score: 6.1694, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5245, predictive_accuracy: 0.5242, prior_entropy: 0.9999, recall: 0.5242, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.5003, kappa: 0.0347, kb_relative_information_score: 3.7278, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5204, predictive_accuracy: 0.5196, prior_entropy: 0.9999, recall: 0.5196, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, f_measure: 0.4618, kappa: -0.0763, kb_relative_information_score: -7.3914, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4618, predictive_accuracy: 0.4622, prior_entropy: 0.9999, recall: 0.4622, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5085, kappa: 0.0556, kb_relative_information_score: 10.647, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5335, predictive_accuracy: 0.5302, prior_entropy: 0.9999, recall: 0.5302, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.0186, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.5021, kappa: 0.0074, kb_relative_information_score: 13.7008, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5038, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.5234, kappa: 0.0523, kb_relative_information_score: 36.6113, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.527, predictive_accuracy: 0.5272, prior_entropy: 0.9999, recall: 0.5272, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5976, root_relative_squared_error: 1.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4982, kappa: 0.0011, kb_relative_information_score: 1.8835, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5006, predictive_accuracy: 0.5015, prior_entropy: 0.9999, recall: 0.5015, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.5019, kappa: 0.0049, kb_relative_information_score: 8.339, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5025, predictive_accuracy: 0.503, prior_entropy: 0.9999, recall: 0.503, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.0186, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5149, kappa: 0.0297, kb_relative_information_score: 16.6797, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5149, predictive_accuracy: 0.5151, prior_entropy: 0.9999, recall: 0.5151, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.497, kappa: -0.0062, kb_relative_information_score: 0.046, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.497, predictive_accuracy: 0.497, prior_entropy: 0.9999, recall: 0.497, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3401, kb_relative_information_score: -0.0182, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.5384, kappa: 0.0852, kb_relative_information_score: 57.8731, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5446, predictive_accuracy: 0.5438, prior_entropy: 0.9999, recall: 0.5438, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.3473, kappa: -0.0028, kb_relative_information_score: -0.7134, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4674, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, f_measure: 0.5151, kappa: 0.048, kb_relative_information_score: 12.2934, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5262, predictive_accuracy: 0.5257, prior_entropy: 0.9999, recall: 0.5257, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.5401, kappa: 0.091, kb_relative_information_score: 9.412, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5481, predictive_accuracy: 0.5468, prior_entropy: 0.9999, recall: 0.5468, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5133, kappa: 0.0449, kb_relative_information_score: 12.3117, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5245, predictive_accuracy: 0.5242, prior_entropy: 0.9999, recall: 0.5242, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.4754, kappa: -0.0491, kb_relative_information_score: 0.7615, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4755, predictive_accuracy: 0.4758, prior_entropy: 0.9999, recall: 0.4758, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.3473, kappa: -0.0028, kb_relative_information_score: -0.7134, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4674, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3401, kb_relative_information_score: 7.8626, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7028, root_relative_squared_error: 1.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5342, kappa: 0.0687, kb_relative_information_score: 23.7934, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5345, predictive_accuracy: 0.5347, prior_entropy: 0.9999, recall: 0.5347, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4965, kappa: 0.0314, kb_relative_information_score: 23.866, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5188, predictive_accuracy: 0.5181, prior_entropy: 0.9999, recall: 0.5181, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.5373, kappa: 0.0877, kb_relative_information_score: 12.9854, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5469, predictive_accuracy: 0.5453, prior_entropy: 0.9999, recall: 0.5453, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5133, kappa: 0.0449, kb_relative_information_score: 12.3117, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5245, predictive_accuracy: 0.5242, prior_entropy: 0.9999, recall: 0.5242, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.4972, kappa: -0.0043, kb_relative_information_score: 0.1681, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4979, predictive_accuracy: 0.4985, prior_entropy: 0.9999, recall: 0.4985, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.5064, kappa: 0.0199, kb_relative_information_score: -5.0833, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5103, predictive_accuracy: 0.5091, prior_entropy: 0.9999, recall: 0.5091, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.549, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.4697, kappa: -0.0608, kb_relative_information_score: -40.1475, mean_absolute_error: 0.5302, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4696, predictive_accuracy: 0.4698, prior_entropy: 0.9999, recall: 0.4698, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7282, root_relative_squared_error: 1.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4965, kappa: -0.0046, kb_relative_information_score: -2.1395, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4978, predictive_accuracy: 0.4985, prior_entropy: 0.9999, recall: 0.4985, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4165, scimark_benchmark: 1631.1992, usercpu_time_millis: 52468.75, usercpu_time_millis_training: 52468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3401, kb_relative_information_score: 7.8626, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7028, root_relative_squared_error: 1.4057, scimark_benchmark: 1697.6783, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5119, kappa: 0.0246, kb_relative_information_score: 15.8643, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5124, predictive_accuracy: 0.5121, prior_entropy: 0.9999, recall: 0.5121, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.3971, scimark_benchmark: 1862.8608, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3401, kb_relative_information_score: 7.8626, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.2561, predictive_accuracy: 0.506, prior_entropy: 0.9999, recall: 0.506, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7028, root_relative_squared_error: 1.4057, scimark_benchmark: 1373.2726, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5119, kappa: 0.0246, kb_relative_information_score: 15.8643, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5124, predictive_accuracy: 0.5121, prior_entropy: 0.9999, recall: 0.5121, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.3971, scimark_benchmark: 1677.6927, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4965, kappa: -0.0046, kb_relative_information_score: -2.1395, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4978, predictive_accuracy: 0.4985, prior_entropy: 0.9999, recall: 0.4985, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4165, scimark_benchmark: 1393.4288, usercpu_time_millis: 61040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 61020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.3266, kb_relative_information_score: 10.6687, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.244, predictive_accuracy: 0.494, prior_entropy: 0.9999, recall: 0.494, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1908.2191, usercpu_time_millis: 1375, usercpu_time_millis_training: 1375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.5384, kappa: 0.0852, kb_relative_information_score: 57.8731, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5446, predictive_accuracy: 0.5438, prior_entropy: 0.9999, recall: 0.5438, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3509, scimark_benchmark: 1827.4462, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.4699, kappa: 0.0026, kb_relative_information_score: -5.1338, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5017, predictive_accuracy: 0.4985, prior_entropy: 0.9999, recall: 0.4985, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6182, root_relative_squared_error: 1.2364, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.4942, kappa: -0.0042, kb_relative_information_score: 6.9158, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4979, predictive_accuracy: 0.497, prior_entropy: 0.9999, recall: 0.497, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0416, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.497, kappa: -0.0062, kb_relative_information_score: 0.046, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.497, predictive_accuracy: 0.497, prior_entropy: 0.9999, recall: 0.497, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1006, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5149, kappa: 0.0297, kb_relative_information_score: 16.6797, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5149, predictive_accuracy: 0.5151, prior_entropy: 0.9999, recall: 0.5151, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.0797, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.493, kappa: -0.0108, kb_relative_information_score: -6.1403, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4946, predictive_accuracy: 0.4955, prior_entropy: 0.9999, recall: 0.4955, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7103, root_relative_squared_error: 1.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.5162, kappa: 0.0373, kb_relative_information_score: 25.8664, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5192, predictive_accuracy: 0.5196, prior_entropy: 0.9999, recall: 0.5196, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6931, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5047, kappa: 0.0495, kb_relative_information_score: 35.8685, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.53, predictive_accuracy: 0.5272, prior_entropy: 0.9999, recall: 0.5272, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6876, root_relative_squared_error: 1.3753, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5414, kappa: 0.0913, kb_relative_information_score: 61.8739, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5477, predictive_accuracy: 0.5468, prior_entropy: 0.9999, recall: 0.5468, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.3465, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4824, f_measure: 0.4916, kappa: -0.0112, kb_relative_information_score: -5.2576, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4943, predictive_accuracy: 0.4955, prior_entropy: 0.9999, recall: 0.4955, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0623, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4917, kappa: -0.0003, kb_relative_information_score: -0.6423, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4999, predictive_accuracy: 0.5015, prior_entropy: 0.9999, recall: 0.5015, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0772, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.4326, kappa: -0.0134, kb_relative_information_score: -0.8325, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4887, predictive_accuracy: 0.4894, prior_entropy: 0.9999, recall: 0.4894, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.048, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5237, kappa: 0.0551, kb_relative_information_score: 15.4373, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5287, predictive_accuracy: 0.5287, prior_entropy: 0.9999, recall: 0.5287, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, 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: 0.5117, f_measure: 0.4196, kappa: 0.0236, kb_relative_information_score: 21.8655, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.5347, predictive_accuracy: 0.5166, prior_entropy: 0.9999, recall: 0.5166, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.3473, kappa: -0.0028, kb_relative_information_score: -0.7134, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4674, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.003, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.3473, kappa: -0.0028, kb_relative_information_score: -0.7134, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4674, predictive_accuracy: 0.5045, prior_entropy: 0.9999, recall: 0.5045, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.003, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.5347, kappa: 0.0698, kb_relative_information_score: 30.4653, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.535, predictive_accuracy: 0.5347, prior_entropy: 0.9999, recall: 0.5347, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.1847, scimark_benchmark: 1838.8826, usercpu_time_millis: 156.001, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.4754, kappa: -0.0491, kb_relative_information_score: 0.7615, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4999, number_of_instances: 662, precision: 0.4755, predictive_accuracy: 0.4758, prior_entropy: 0.9999, recall: 0.4758, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.0619, scimark_benchmark: 1838.8826, usercpu_time_millis: 187.2012, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 140.4009,

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