Task
Supervised Classification on disclosure_x_noise

Supervised Classification on disclosure_x_noise

Task 3692 Supervised Classification disclosure_x_noise 541 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: 0.5317, f_measure: 0.5437, kappa: 0.0956, kb_relative_information_score: 8.859, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5497, predictive_accuracy: 0.5483, prior_entropy: 1, recall: 0.5483, relative_absolute_error: 0.9903, 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: 0.5216, f_measure: 0.5037, kappa: 0.0169, kb_relative_information_score: 6.2255, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5088, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5288, kappa: 0.0626, kb_relative_information_score: 5.6517, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.532, predictive_accuracy: 0.5317, prior_entropy: 1, recall: 0.5317, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.4627, kappa: -0.0731, kb_relative_information_score: -5.655, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4632, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5288, kappa: 0.0626, kb_relative_information_score: 14.1965, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.532, predictive_accuracy: 0.5317, prior_entropy: 1, recall: 0.5317, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.4894, kappa: -0.0212, kb_relative_information_score: -4.3226, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4894, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.1652, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 1.6226, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4548, f_measure: 0.4912, kappa: 0.0306, kb_relative_information_score: -0.2151, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.519, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.4649, kappa: -0.0698, kb_relative_information_score: -18.5157, mean_absolute_error: 0.5111, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4651, predictive_accuracy: 0.4653, prior_entropy: 1, recall: 0.4653, relative_absolute_error: 1.0222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5466, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5067, kappa: 0.052, kb_relative_information_score: 11.3108, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5311, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4793, f_measure: 0.4711, kappa: -0.0577, kb_relative_information_score: -10.5962, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4711, predictive_accuracy: 0.4713, prior_entropy: 1, recall: 0.4713, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.547, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, 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: 0.5326, f_measure: 0.5418, kappa: 0.0954, kb_relative_information_score: 37.1083, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5504, predictive_accuracy: 0.5483, prior_entropy: 1, recall: 0.5483, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5948, root_relative_squared_error: 1.1896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.4984, kappa: 0.031, kb_relative_information_score: 6.8322, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5181, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5163, kappa: 0.0329, kb_relative_information_score: 0.6393, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5165, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, 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: 0.4909, f_measure: 0.4894, kappa: -0.0212, kb_relative_information_score: -5.3748, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4894, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, 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: 0.5137, f_measure: 0.5393, kappa: 0.0786, kb_relative_information_score: 4.9322, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5393, predictive_accuracy: 0.5393, prior_entropy: 1, recall: 0.5393, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3367, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.971, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.5004, kappa: 0.0166, kb_relative_information_score: 10.9594, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5089, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5456, kappa: 0.0986, kb_relative_information_score: 8.5274, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5511, predictive_accuracy: 0.5498, prior_entropy: 1, recall: 0.5498, relative_absolute_error: 0.9907, 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: 0.5344, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 10.9348, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5442, kappa: 0.0928, kb_relative_information_score: 61.9685, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5474, predictive_accuracy: 0.5468, prior_entropy: 1, recall: 0.5468, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, f_measure: 0.4592, kappa: -0.0815, kb_relative_information_score: -21.0796, mean_absolute_error: 0.5134, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4592, predictive_accuracy: 0.4592, prior_entropy: 1, recall: 0.4592, relative_absolute_error: 1.0267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.0879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.5207, kappa: 0.0646, kb_relative_information_score: 43.9675, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.536, predictive_accuracy: 0.5332, prior_entropy: 1, recall: 0.5332, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6832, root_relative_squared_error: 1.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5106, kappa: 0.0377, kb_relative_information_score: 9.7484, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5203, predictive_accuracy: 0.5196, prior_entropy: 1, recall: 0.5196, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.4547, kappa: -0.0906, kb_relative_information_score: -16.1416, mean_absolute_error: 0.5092, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4547, predictive_accuracy: 0.4547, prior_entropy: 1, recall: 0.4547, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.971, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 10.9348, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.4917, kappa: 0.0078, kb_relative_information_score: -1.1025, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5043, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.5112, kappa: 0.028, kb_relative_information_score: 4.1813, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5143, predictive_accuracy: 0.5136, prior_entropy: 1, recall: 0.5136, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.4637, kappa: -0.0724, kb_relative_information_score: -48.0373, mean_absolute_error: 0.5363, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4638, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7323, root_relative_squared_error: 1.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5022, kappa: 0.0065, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5033, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 1959.6455, 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: 0.3367, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 1959.6455, 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: 0.4986, f_measure: 0.4984, kappa: -0.0028, kb_relative_information_score: -2.0349, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4986, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4164, scimark_benchmark: 1631.1992, usercpu_time_millis: 50843.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 50828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3367, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 1379.6402, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5022, kappa: 0.0065, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5033, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 1343.1485, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4984, kappa: -0.0028, kb_relative_information_score: -2.0349, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4986, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4164, scimark_benchmark: 1648.0566, usercpu_time_millis: 45680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 45670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.3933, kappa: -0.0041, kb_relative_information_score: 3.0364, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4937, predictive_accuracy: 0.4955, prior_entropy: 1, recall: 0.4955, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0122, scimark_benchmark: 1908.2191, usercpu_time_millis: 1328.125, usercpu_time_millis_training: 1328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.4863, kappa: 0.0391, kb_relative_information_score: 8.3605, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5262, predictive_accuracy: 0.5181, prior_entropy: 1, recall: 0.5181, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1908.2191, usercpu_time_millis: 1125, usercpu_time_millis_training: 1125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.4669, kappa: 0.0122, kb_relative_information_score: 11.5999, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5086, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0035, scimark_benchmark: 1531.4605, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.4399, kappa: -0.0575, kb_relative_information_score: -24.0074, mean_absolute_error: 0.5181, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4633, predictive_accuracy: 0.4698, prior_entropy: 1, recall: 0.4698, relative_absolute_error: 1.0362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6329, root_relative_squared_error: 1.2659, 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: 0.5073, f_measure: 0.4918, kappa: -0.008, kb_relative_information_score: 5.0651, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4959, predictive_accuracy: 0.4955, prior_entropy: 1, recall: 0.4955, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0415, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.5393, kappa: 0.0786, kb_relative_information_score: 4.9322, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5393, predictive_accuracy: 0.5393, prior_entropy: 1, recall: 0.5393, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.0864, 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: 0.4909, f_measure: 0.4894, kappa: -0.0212, kb_relative_information_score: -5.3748, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4894, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.1103, 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: 0.4725, f_measure: 0.4718, kappa: -0.0549, kb_relative_information_score: -36.0367, mean_absolute_error: 0.5272, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4724, predictive_accuracy: 0.4728, prior_entropy: 1, recall: 0.4728, relative_absolute_error: 1.0544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7261, root_relative_squared_error: 1.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.495, kappa: -0.0087, kb_relative_information_score: -6.0351, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4957, predictive_accuracy: 0.4955, prior_entropy: 1, recall: 0.4955, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7103, root_relative_squared_error: 1.4206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.5241, kappa: 0.062, kb_relative_information_score: 41.9674, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5331, predictive_accuracy: 0.5317, prior_entropy: 1, recall: 0.5317, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6843, root_relative_squared_error: 1.3686, 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: 0.5508, f_measure: 0.5473, kappa: 0.1017, kb_relative_information_score: 67.9688, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5527, predictive_accuracy: 0.5514, prior_entropy: 1, recall: 0.5514, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3396, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4666, f_measure: 0.4665, kappa: -0.0668, kb_relative_information_score: -44.0371, mean_absolute_error: 0.5332, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4666, predictive_accuracy: 0.4668, prior_entropy: 1, recall: 0.4668, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7302, root_relative_squared_error: 1.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, f_measure: 0.4462, kappa: -0.0513, kb_relative_information_score: -17.0077, mean_absolute_error: 0.5112, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4676, predictive_accuracy: 0.4758, prior_entropy: 1, recall: 0.4758, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.0578, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4989, kappa: -0.0006, kb_relative_information_score: -9.475, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4997, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.1105, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.5104, kappa: 0.0214, kb_relative_information_score: 6.805, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5107, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0138, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5288, kappa: 0.0626, kb_relative_information_score: 14.1965, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.532, predictive_accuracy: 0.5317, prior_entropy: 1, recall: 0.5317, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017, 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: 0.5, f_measure: 0.3367, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41,

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