Task
Supervised Classification on chscase_census5

Supervised Classification on chscase_census5

Task 3769 Supervised Classification chscase_census5 577 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: 0.4954, f_measure: 0.489, kappa: -0.0104, kb_relative_information_score: -1.7754, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.495, predictive_accuracy: 0.5, prior_entropy: 0.9991, recall: 0.5, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4656, f_measure: 0.4551, kappa: -0.089, kb_relative_information_score: -3.5985, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.456, predictive_accuracy: 0.455, prior_entropy: 0.9991, recall: 0.455, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.4122, kappa: -0.0134, kb_relative_information_score: -2.8768, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4831, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.4362, kappa: -0.0147, kb_relative_information_score: -1.3404, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4871, predictive_accuracy: 0.505, prior_entropy: 0.9991, recall: 0.505, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4516, f_measure: 0.4523, kappa: -0.0969, kb_relative_information_score: -12.0204, mean_absolute_error: 0.5117, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4522, predictive_accuracy: 0.4525, prior_entropy: 0.9991, recall: 0.4525, relative_absolute_error: 1.0247, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.455, f_measure: 0.474, kappa: -0.0535, kb_relative_information_score: -10.5902, mean_absolute_error: 0.5104, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4738, predictive_accuracy: 0.475, prior_entropy: 0.9991, recall: 0.475, relative_absolute_error: 1.0221, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: -1.5919, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.492, kappa: -0.0124, kb_relative_information_score: -3.2583, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4942, predictive_accuracy: 0.4975, prior_entropy: 0.9991, recall: 0.4975, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4664, f_measure: 0.4947, kappa: -0.0038, kb_relative_information_score: -3.4631, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4986, predictive_accuracy: 0.5025, prior_entropy: 0.9991, recall: 0.5025, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5093, kappa: 0.0171, kb_relative_information_score: 1.7628, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5092, predictive_accuracy: 0.51, prior_entropy: 0.9991, recall: 0.51, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.628, root_relative_squared_error: 1.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5123, kappa: 0.042, kb_relative_information_score: 0.1342, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5229, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4851, kappa: -0.0305, kb_relative_information_score: -6.8859, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4854, predictive_accuracy: 0.485, prior_entropy: 0.9991, recall: 0.485, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.0901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0351, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.4351, kappa: -0.0918, kb_relative_information_score: -19.2567, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4454, predictive_accuracy: 0.4625, prior_entropy: 0.9991, recall: 0.4625, relative_absolute_error: 1.0408, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4396, f_measure: 0.4598, kappa: -0.0821, kb_relative_information_score: -14.9437, mean_absolute_error: 0.5149, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4596, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.0689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.447, f_measure: 0.4743, kappa: -0.0509, kb_relative_information_score: -7.786, mean_absolute_error: 0.5069, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4748, predictive_accuracy: 0.4775, prior_entropy: 0.9991, recall: 0.4775, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0351, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4623, f_measure: 0.4851, kappa: -0.03, kb_relative_information_score: -13.3116, mean_absolute_error: 0.5153, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4854, predictive_accuracy: 0.4875, prior_entropy: 0.9991, recall: 0.4875, relative_absolute_error: 1.0318, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5583, root_relative_squared_error: 1.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, f_measure: 0.474, kappa: -0.0535, kb_relative_information_score: -15.385, mean_absolute_error: 0.517, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4738, predictive_accuracy: 0.475, prior_entropy: 0.9991, recall: 0.475, relative_absolute_error: 1.0352, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.353, kb_relative_information_score: -0.0313, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 400, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: -2.4062, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.487, kappa: -0.0225, kb_relative_information_score: -2.738, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.489, predictive_accuracy: 0.4925, prior_entropy: 0.9991, recall: 0.4925, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4199, f_measure: 0.4207, kappa: -0.1426, kb_relative_information_score: -7.7897, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4232, predictive_accuracy: 0.435, prior_entropy: 0.9991, recall: 0.435, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.4871, kappa: -0.0256, kb_relative_information_score: -6.069, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4877, predictive_accuracy: 0.49, prior_entropy: 0.9991, recall: 0.49, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.492, kappa: -0.0124, kb_relative_information_score: -2.6025, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4942, predictive_accuracy: 0.4975, prior_entropy: 0.9991, recall: 0.4975, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4898, kappa: -0.022, kb_relative_information_score: -7.0946, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4896, predictive_accuracy: 0.49, prior_entropy: 0.9991, recall: 0.49, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.563, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.3527, kappa: -0.0196, kb_relative_information_score: -2.4062, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.3457, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.4675, kappa: -0.0639, kb_relative_information_score: -3.1841, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4686, predictive_accuracy: 0.4675, prior_entropy: 0.9991, recall: 0.4675, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.4167, kappa: -0.008, kb_relative_information_score: 7.3097, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4903, predictive_accuracy: 0.51, prior_entropy: 0.9991, recall: 0.51, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7, root_relative_squared_error: 1.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.492, kappa: -0.0124, kb_relative_information_score: -2.6025, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4942, predictive_accuracy: 0.4975, prior_entropy: 0.9991, recall: 0.4975, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.4801, kappa: -0.0261, kb_relative_information_score: -0.3568, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4865, predictive_accuracy: 0.4925, prior_entropy: 0.9991, recall: 0.4925, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4401, f_measure: 0.4496, kappa: -0.0827, kb_relative_information_score: -18.2509, mean_absolute_error: 0.519, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4551, predictive_accuracy: 0.465, prior_entropy: 0.9991, recall: 0.465, relative_absolute_error: 1.0393, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.458, kappa: -0.0847, kb_relative_information_score: -32.7604, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4579, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0813, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4246, kappa: -0.099, kb_relative_information_score: -32.7604, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4373, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0813, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4706, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 1461.2356, 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: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.3621, kappa: 0.0009, kb_relative_information_score: -4.6585, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5029, predictive_accuracy: 0.485, prior_entropy: 0.9991, recall: 0.485, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0449, scimark_benchmark: 1787.9841, usercpu_time_millis: 953.125, usercpu_time_millis_training: 953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.3621, kappa: 0.0009, kb_relative_information_score: -4.6585, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5029, predictive_accuracy: 0.485, prior_entropy: 0.9991, recall: 0.485, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0449, scimark_benchmark: 1342.2612, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 1353.5365, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4246, kappa: -0.099, kb_relative_information_score: -32.7604, mean_absolute_error: 0.54, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4373, predictive_accuracy: 0.46, prior_entropy: 0.9991, recall: 0.46, relative_absolute_error: 1.0813, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7348, root_relative_squared_error: 1.4706, scimark_benchmark: 1597.9239, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4721, f_measure: 0.4035, kappa: -0.0572, kb_relative_information_score: -12.7253, mean_absolute_error: 0.515, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4416, predictive_accuracy: 0.485, prior_entropy: 0.9991, recall: 0.485, relative_absolute_error: 1.0313, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7176, root_relative_squared_error: 1.4362, scimark_benchmark: 1366.006, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.489, kappa: -0.0104, kb_relative_information_score: -1.7754, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.495, predictive_accuracy: 0.5, prior_entropy: 0.9991, recall: 0.5, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.026, scimark_benchmark: 965.4333, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4488, f_measure: 0.4878, kappa: -0.007, kb_relative_information_score: -13.6307, mean_absolute_error: 0.5139, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4968, predictive_accuracy: 0.5025, prior_entropy: 0.9991, recall: 0.5025, relative_absolute_error: 1.029, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0686, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.5012, kappa: 0.0483, kb_relative_information_score: -12.4046, mean_absolute_error: 0.5154, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5317, predictive_accuracy: 0.5325, prior_entropy: 0.9991, recall: 0.5325, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2498, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.4638, kappa: -0.0005, kb_relative_information_score: 7.2937, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5003, predictive_accuracy: 0.51, prior_entropy: 0.9991, recall: 0.51, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6015, root_relative_squared_error: 1.2038, 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: 0.4725, f_measure: 0.4673, kappa: -0.0392, kb_relative_information_score: -8.1645, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4781, predictive_accuracy: 0.4875, prior_entropy: 0.9991, recall: 0.4875, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.063, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4616, f_measure: 0.4851, kappa: -0.03, kb_relative_information_score: -13.3708, mean_absolute_error: 0.5153, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4854, predictive_accuracy: 0.4875, prior_entropy: 0.9991, recall: 0.4875, relative_absolute_error: 1.0319, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.1175, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, f_measure: 0.474, kappa: -0.0535, kb_relative_information_score: -15.385, mean_absolute_error: 0.517, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4738, predictive_accuracy: 0.475, prior_entropy: 0.9991, recall: 0.475, relative_absolute_error: 1.0352, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1336, 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: 0.5, f_measure: 0.353, kb_relative_information_score: 13.3202, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.2678, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3901, 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: 0.4446, f_measure: 0.437, kappa: -0.1119, kb_relative_information_score: -40.7744, mean_absolute_error: 0.55, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4403, predictive_accuracy: 0.45, prior_entropy: 0.9991, recall: 0.45, relative_absolute_error: 1.1013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7416, root_relative_squared_error: 1.4841, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, f_measure: 0.4311, kappa: -0.0295, kb_relative_information_score: -5.1157, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4745, predictive_accuracy: 0.4975, prior_entropy: 0.9991, recall: 0.4975, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0339, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4714, kappa: -0.0336, kb_relative_information_score: -14.1678, mean_absolute_error: 0.5153, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4816, predictive_accuracy: 0.49, prior_entropy: 0.9991, recall: 0.49, relative_absolute_error: 1.0318, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1149, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4093, kappa: 0.0054, kb_relative_information_score: 2.3218, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5098, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0162, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.4122, kappa: -0.0134, kb_relative_information_score: -2.8768, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4831, predictive_accuracy: 0.5075, prior_entropy: 0.9991, recall: 0.5075, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0107, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5123, kappa: 0.042, kb_relative_information_score: 0.1342, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.5229, predictive_accuracy: 0.5175, prior_entropy: 0.9991, recall: 0.5175, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0069, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.492, kappa: -0.0124, kb_relative_information_score: -2.6025, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4994, number_of_instances: 400, precision: 0.4942, predictive_accuracy: 0.4975, prior_entropy: 0.9991, recall: 0.4975, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0253, scimark_benchmark: 1732.2066,

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