Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5644, kappa: 0.1287, kb_relative_information_score: 56.8162, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1247.7424, usercpu_time_millis: 197.93, usercpu_time_millis_testing: 3.803, usercpu_time_millis_training: 194.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.5494, kappa: 0.099, kb_relative_information_score: 50.3035, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1261.4581, usercpu_time_millis: 342.099, usercpu_time_millis_testing: 5.231, usercpu_time_millis_training: 336.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.5225, kappa: 0.0495, kb_relative_information_score: 24.2961, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5252, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1252.2956, usercpu_time_millis: 99.473, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 97.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5237, kappa: 0.0479, kb_relative_information_score: 4.2014, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1250.7619, usercpu_time_millis: 37.635, usercpu_time_millis_testing: 1.903, usercpu_time_millis_training: 35.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5626, kappa: 0.1254, kb_relative_information_score: 55.2821, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5628, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1280.3953, usercpu_time_millis: 43.876, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 42.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 51.45, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1251.3331, usercpu_time_millis: 139.585, usercpu_time_millis_testing: 5.683, usercpu_time_millis_training: 133.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.534, kappa: 0.0693, kb_relative_information_score: 32.9141, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5348, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1264.8948, usercpu_time_millis: 65.754, usercpu_time_millis_testing: 3.216, usercpu_time_millis_training: 62.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.009, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1263.7528, usercpu_time_millis: 6.264, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 5.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5223, kappa: 0.0479, kb_relative_information_score: 26.2253, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5243, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1249.4493, usercpu_time_millis: 23.549, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 22.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.518, kappa: 0.038, kb_relative_information_score: 21.8064, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1260.6712, usercpu_time_millis: 69.242, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 66.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.5161, kappa: 0.038, kb_relative_information_score: 10.6435, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5194, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1248.7412, usercpu_time_millis: 70.874, usercpu_time_millis_testing: 2.166, usercpu_time_millis_training: 68.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5359, f_measure: 0.5256, kappa: 0.0561, kb_relative_information_score: 13.0967, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5287, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1280.5177, usercpu_time_millis: 102.03, usercpu_time_millis_testing: 1.923, usercpu_time_millis_training: 100.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.561, kappa: 0.1221, kb_relative_information_score: 64.9482, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1238.1446, usercpu_time_millis: 66.657, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 65.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0144, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1249.9267, usercpu_time_millis: 2.445, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5209, kappa: 0.0429, kb_relative_information_score: 29.8329, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5216, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1281.5984, usercpu_time_millis: 35.03, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 32.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5062, kappa: 0.0182, kb_relative_information_score: 6.2128, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5093, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 1257.9038, usercpu_time_millis: 28.047, usercpu_time_millis_testing: 2.065, usercpu_time_millis_training: 25.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5229, kappa: 0.0495, kb_relative_information_score: 24.2044, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1277.3004, usercpu_time_millis: 198.144, usercpu_time_millis_testing: 3.839, usercpu_time_millis_training: 194.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5059, kappa: 0.0182, kb_relative_information_score: 7.3763, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5093, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037, scimark_benchmark: 1246.7153, usercpu_time_millis: 31.306, usercpu_time_millis_testing: 2.312, usercpu_time_millis_training: 28.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.5487, kappa: 0.0974, kb_relative_information_score: 48.4881, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1247.1255, usercpu_time_millis: 143.285, usercpu_time_millis_testing: 5.692, usercpu_time_millis_training: 137.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4992, kappa: -0.0017, kb_relative_information_score: -0.0192, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4992, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1272.9374, usercpu_time_millis: 1.224, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0246, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1271.0267, usercpu_time_millis: 6.197, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 5.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.5305, kappa: 0.0611, kb_relative_information_score: 4.0268, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5305, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1248.6867, usercpu_time_millis: 16.289, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 15.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.5905, kappa: 0.1815, kb_relative_information_score: 103.7757, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.591, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9889, scimark_benchmark: 1238.1888, usercpu_time_millis: 482.623, usercpu_time_millis_testing: 5.662, usercpu_time_millis_training: 476.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5255, kappa: 0.0512, kb_relative_information_score: 4.4763, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5256, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1279.9927, usercpu_time_millis: 21.547, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 19.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5291, kappa: 0.0594, kb_relative_information_score: 29.4604, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5299, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1276.0979, usercpu_time_millis: 93.687, usercpu_time_millis_testing: 3.874, usercpu_time_millis_training: 89.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.504, kappa: 0.0132, kb_relative_information_score: 16.2953, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5067, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005, scimark_benchmark: 1249.5283, usercpu_time_millis: 27.965, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 26.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4799, kappa: 0.0017, kb_relative_information_score: -0.0099, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.501, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1247.6175, usercpu_time_millis: 5.68, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 4.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0247, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1240.0898, usercpu_time_millis: 6.134, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 5.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5199, kappa: 0.0413, kb_relative_information_score: 28.3128, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5208, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1277.9534, usercpu_time_millis: 144.409, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 141.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.5536, kappa: 0.1073, kb_relative_information_score: 51.515, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5537, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1246.9106, usercpu_time_millis: 175.453, usercpu_time_millis_testing: 4.902, usercpu_time_millis_training: 170.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.515, kappa: 0.033, kb_relative_information_score: 23.9985, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5167, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1249.5343, usercpu_time_millis: 47.457, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 44.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5347, kappa: 0.071, kb_relative_information_score: 30.3601, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5357, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1280.9169, usercpu_time_millis: 99.562, usercpu_time_millis_testing: 3.279, usercpu_time_millis_training: 96.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 60.039, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1272.8855, usercpu_time_millis: 225.326, usercpu_time_millis_testing: 5.819, usercpu_time_millis_training: 219.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5252, kappa: 0.0512, kb_relative_information_score: 32.9078, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1270.4922, usercpu_time_millis: 71.931, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 70.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4992, kappa: -0.0017, kb_relative_information_score: -0.0153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4992, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1271.6608, usercpu_time_millis: 5.47, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 4.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0089, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1271.4493, usercpu_time_millis: 9.62, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 8.359,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5163, kappa: 0.0363, kb_relative_information_score: 21.4153, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5184, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1273.162, usercpu_time_millis: 9.994, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 9.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5226, kappa: 0.0462, kb_relative_information_score: 4.3065, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5232, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1273.3802, usercpu_time_millis: 57.595, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 55.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 91.4819, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1266.5163, usercpu_time_millis: 372.726, usercpu_time_millis_testing: 4.286, usercpu_time_millis_training: 368.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5214, kappa: 0.0446, kb_relative_information_score: 6.241, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5224, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1240.3784, usercpu_time_millis: 86.702, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 84.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5677, kappa: 0.1353, kb_relative_information_score: 69.4481, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1242.1171, usercpu_time_millis: 236.517, usercpu_time_millis_testing: 3.473, usercpu_time_millis_training: 233.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.5449, kappa: 0.0908, kb_relative_information_score: 41.4866, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5456, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1275.4052, usercpu_time_millis: 254.231, usercpu_time_millis_testing: 4.805, usercpu_time_millis_training: 249.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0097, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1269.1272, usercpu_time_millis: 5.513, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 4.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.509, kappa: 0.0248, kb_relative_information_score: 15.2289, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5127, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1249.0415, usercpu_time_millis: 9.097, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 8.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.5055, kappa: 0.0182, kb_relative_information_score: 14.1366, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5093, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019, scimark_benchmark: 1242.1803, usercpu_time_millis: 54.792, usercpu_time_millis_testing: 3.382, usercpu_time_millis_training: 51.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 82.9327, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9921, scimark_benchmark: 1237.3872, usercpu_time_millis: 91.214, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 89.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0227, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1273.4794, usercpu_time_millis: 7.692, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 6.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.5299, kappa: 0.0611, kb_relative_information_score: 33.8416, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5307, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1261.1599, usercpu_time_millis: 137.949, usercpu_time_millis_testing: 4.868, usercpu_time_millis_training: 133.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4799, kappa: 0.0017, kb_relative_information_score: -0.0024, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.501, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1255.423, usercpu_time_millis: 9.666, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 8.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 81.6741, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1261.0819, usercpu_time_millis: 391.743, usercpu_time_millis_testing: 6.873, usercpu_time_millis_training: 384.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4938, kappa: -0.0017, kb_relative_information_score: 7.9888, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0035, scimark_benchmark: 1278.6051, usercpu_time_millis: 33.924, usercpu_time_millis_testing: 2.951, usercpu_time_millis_training: 30.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 59.019, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1247.0829, usercpu_time_millis: 128.871, usercpu_time_millis_testing: 2.632, usercpu_time_millis_training: 126.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.5221, kappa: 0.0446, kb_relative_information_score: 3.9, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5223, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1250.8696, usercpu_time_millis: 20.615, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 18.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5229, kappa: 0.0479, kb_relative_information_score: 24.2397, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5241, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1257.0256, usercpu_time_millis: 97.457, usercpu_time_millis_testing: 3.61, usercpu_time_millis_training: 93.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 72.2671, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1275.6257, usercpu_time_millis: 225.584, usercpu_time_millis_testing: 6.561, usercpu_time_millis_training: 219.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5234, kappa: 0.0512, kb_relative_information_score: 8.8703, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.526, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1250.5066, usercpu_time_millis: 34.235, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 33.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 50.1354, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1273.3234, usercpu_time_millis: 65.584, usercpu_time_millis_testing: 2.972, usercpu_time_millis_training: 62.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0142, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1278.7189, usercpu_time_millis: 2.34, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0171, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1231.4166, usercpu_time_millis: 5.119, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 4.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 81.2758, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1248.6875, usercpu_time_millis: 138.7, usercpu_time_millis_testing: 4.124, usercpu_time_millis_training: 134.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, f_measure: 0.5683, kappa: 0.137, kb_relative_information_score: 96.2069, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5686, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1243.5884, usercpu_time_millis: 177.074, usercpu_time_millis_testing: 2.45, usercpu_time_millis_training: 174.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.5156, kappa: 0.0363, kb_relative_information_score: 12.7585, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 1272.011, usercpu_time_millis: 109.169, usercpu_time_millis_testing: 2.656, usercpu_time_millis_training: 106.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5078, kappa: 0.0215, kb_relative_information_score: 8.516, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.511, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1249.0964, usercpu_time_millis: 9.616, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 9.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5157, kappa: 0.0363, kb_relative_information_score: 19.2099, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1234.4071, usercpu_time_millis: 48.166, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 46.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.53, kappa: 0.0611, kb_relative_information_score: 37.1942, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5307, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1265.1407, usercpu_time_millis: 111.613, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 108.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.552, kappa: 0.104, kb_relative_information_score: 52.2212, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1247.9774, usercpu_time_millis: 133.052, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 129.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 86.6914, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5759, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1242.422, usercpu_time_millis: 340.167, usercpu_time_millis_testing: 11.42, usercpu_time_millis_training: 328.747,

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