Task
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1318 runs submitted
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  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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1318 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.392, kappa: 0.2968, kb_relative_information_score: 542.2867, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.476, predictive_accuracy: 0.4077, prior_entropy: 2.5035, recall: 0.4077, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.575, kappa: 0.4556, kb_relative_information_score: 677.892, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5829, prior_entropy: 2.5035, recall: 0.5829, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.4002, kappa: 0.3084, kb_relative_information_score: 557.6169, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4981, predictive_accuracy: 0.4272, prior_entropy: 2.5035, recall: 0.4272, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.5562, kappa: 0.4295, kb_relative_information_score: 599.3186, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5637, predictive_accuracy: 0.5647, prior_entropy: 2.5035, recall: 0.5647, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.392, kappa: 0.2968, kb_relative_information_score: 542.2867, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.476, predictive_accuracy: 0.4077, prior_entropy: 2.5035, recall: 0.4077, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.5668, kappa: 0.4418, kb_relative_information_score: 165.634, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5701, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 1.07, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2797, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5798, kappa: 0.4619, kb_relative_information_score: 769.5681, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.5427, kappa: 0.4097, kb_relative_information_score: 662.5031, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5476, predictive_accuracy: 0.5492, prior_entropy: 2.5035, recall: 0.5492, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.5669, kappa: 0.4505, kb_relative_information_score: 678.2352, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5868, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.5416, kappa: 0.4038, kb_relative_information_score: 665.5196, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5463, predictive_accuracy: 0.5451, prior_entropy: 2.5035, recall: 0.5451, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.25, root_relative_squared_error: 0.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.5561, kappa: 0.4397, kb_relative_information_score: 642.2198, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5718, predictive_accuracy: 0.5687, prior_entropy: 2.5035, recall: 0.5687, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.5701, kappa: 0.4484, kb_relative_information_score: 706.4058, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5674, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.5429, kappa: 0.4263, kb_relative_information_score: 169.9974, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5896, predictive_accuracy: 0.566, prior_entropy: 2.5035, recall: 0.566, relative_absolute_error: 1.0515, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.6005, kappa: 0.4916, kb_relative_information_score: 729.7336, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5987, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.233, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.5678, kappa: 0.4534, kb_relative_information_score: 498.6541, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5778, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.5668, kappa: 0.4418, kb_relative_information_score: 717.9897, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5701, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.5548, kappa: 0.43, kb_relative_information_score: 673.925, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.551, predictive_accuracy: 0.566, prior_entropy: 2.5035, recall: 0.566, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.564, kappa: 0.4388, kb_relative_information_score: 707.5815, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5649, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 673.9349, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.5692, kappa: 0.4537, kb_relative_information_score: 672.0088, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.583, predictive_accuracy: 0.5782, prior_entropy: 2.5035, recall: 0.5782, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.5633, kappa: 0.4472, kb_relative_information_score: 675.6929, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5812, predictive_accuracy: 0.5728, prior_entropy: 2.5035, recall: 0.5728, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.5443, kappa: 0.426, kb_relative_information_score: 171.8728, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5934, predictive_accuracy: 0.5667, prior_entropy: 2.5035, recall: 0.5667, relative_absolute_error: 1.0509, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 63.5008, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.1241, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.5256, kappa: 0.3947, kb_relative_information_score: 599.8486, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5264, predictive_accuracy: 0.5344, prior_entropy: 2.5035, recall: 0.5344, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.5314, kappa: 0.4166, kb_relative_information_score: 169.4909, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5786, predictive_accuracy: 0.5593, prior_entropy: 2.5035, recall: 0.5593, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.517, kappa: 0.4002, kb_relative_information_score: 151.363, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5609, predictive_accuracy: 0.5485, prior_entropy: 2.5035, recall: 0.5485, relative_absolute_error: 1.0535, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2791, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.5899, kappa: 0.4779, kb_relative_information_score: 707.84, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.59, predictive_accuracy: 0.5991, prior_entropy: 2.5035, recall: 0.5991, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.8355, scimark_benchmark: 1748.0479, usercpu_time_millis: 820, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 1838.965, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 656.4455, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.1043, scimark_benchmark: 1633.0114, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.392, kappa: 0.2968, kb_relative_information_score: 542.2867, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.476, predictive_accuracy: 0.4077, prior_entropy: 2.5035, recall: 0.4077, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0051, scimark_benchmark: 798.3765, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.5749, kappa: 0.4572, kb_relative_information_score: 710.4469, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5808, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8486, scimark_benchmark: 1763.3172, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.5971, kappa: 0.4829, kb_relative_information_score: 729.2393, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5952, predictive_accuracy: 0.6038, prior_entropy: 2.5035, recall: 0.6038, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.233, root_relative_squared_error: 0.836, scimark_benchmark: 1831.2802, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.6084, kappa: 0.5017, kb_relative_information_score: 806.2412, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6141, predictive_accuracy: 0.6179, prior_entropy: 2.5035, recall: 0.6179, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.9918, scimark_benchmark: 1363.4627, usercpu_time_millis: 370, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.5906, kappa: 0.4762, kb_relative_information_score: 700.3178, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.596, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.8242, scimark_benchmark: 1791.3351, usercpu_time_millis: 1480, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.6114, kappa: 0.5064, kb_relative_information_score: 673.1271, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6174, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8212, scimark_benchmark: 1617.262, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.6202, kappa: 0.517, kb_relative_information_score: 681.3156, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6176, predictive_accuracy: 0.6294, prior_entropy: 2.5035, recall: 0.6294, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8158, scimark_benchmark: 1644.8248, usercpu_time_millis: 800, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.6118, kappa: 0.5062, kb_relative_information_score: 721.5684, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.613, predictive_accuracy: 0.6206, prior_entropy: 2.5035, recall: 0.6206, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.8165, scimark_benchmark: 1422.892, usercpu_time_millis: 11530, usercpu_time_millis_testing: 5100, usercpu_time_millis_training: 6430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.567, kappa: 0.4446, kb_relative_information_score: 696.8846, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5711, predictive_accuracy: 0.5755, prior_entropy: 2.5035, recall: 0.5755, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8685, scimark_benchmark: 1159.6716, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.5936, kappa: 0.4823, kb_relative_information_score: 692.4051, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5903, predictive_accuracy: 0.6024, prior_entropy: 2.5035, recall: 0.6024, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8324, scimark_benchmark: 1499.4216, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.5838, kappa: 0.4702, kb_relative_information_score: 644.8879, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5872, predictive_accuracy: 0.5943, prior_entropy: 2.5035, recall: 0.5943, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.8394, scimark_benchmark: 1471.6854, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4985, kappa: 0.3537, kb_relative_information_score: 596.1741, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.502, predictive_accuracy: 0.4973, prior_entropy: 2.5035, recall: 0.4973, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3168, root_relative_squared_error: 1.1368, scimark_benchmark: 1399.6659, usercpu_time_millis: 14370, usercpu_time_millis_testing: 14370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.5591, kappa: 0.4362, kb_relative_information_score: 678.8665, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5556, predictive_accuracy: 0.564, prior_entropy: 2.5035, recall: 0.564, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.9601, scimark_benchmark: 1457.7165, usercpu_time_millis: 42160, usercpu_time_millis_testing: 42160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 340.1222, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9369, scimark_benchmark: 1381.8731, usercpu_time_millis: 2380, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.3216, kappa: 0.1683, kb_relative_information_score: 403.8575, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.337, predictive_accuracy: 0.3922, prior_entropy: 2.5035, recall: 0.3922, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.0267, scimark_benchmark: 1456.2276, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.2519, kappa: 0.1894, kb_relative_information_score: 361.7987, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3923, predictive_accuracy: 0.4097, prior_entropy: 2.5035, recall: 0.4097, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.9309, scimark_benchmark: 1453.7373, usercpu_time_millis: 21780, usercpu_time_millis_testing: 21770, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.5815, kappa: 0.4656, kb_relative_information_score: 704.9082, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5787, predictive_accuracy: 0.5876, prior_entropy: 2.5035, recall: 0.5876, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.8613, scimark_benchmark: 1365.2696, usercpu_time_millis: 28140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 28120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.5263, kappa: 0.3868, kb_relative_information_score: 694.1419, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5287, predictive_accuracy: 0.5249, prior_entropy: 2.5035, recall: 0.5249, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.9587, scimark_benchmark: 1453.5822, usercpu_time_millis: 1050, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.5311, kappa: 0.3973, kb_relative_information_score: 681.5978, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5285, predictive_accuracy: 0.5344, prior_entropy: 2.5035, recall: 0.5344, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2953, root_relative_squared_error: 1.0596, scimark_benchmark: 1403.2179, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 1515.2161, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.5679, kappa: 0.4519, kb_relative_information_score: 66.2839, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5899, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1245, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.0469, scimark_benchmark: 1443.8763, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.5466, kappa: 0.4201, kb_relative_information_score: 717.4777, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5425, predictive_accuracy: 0.5526, prior_entropy: 2.5035, recall: 0.5526, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 1369.4753, usercpu_time_millis: 21010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5251, kappa: 0.3878, kb_relative_information_score: 655.9924, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.527, predictive_accuracy: 0.5243, prior_entropy: 2.5035, recall: 0.5243, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3082, root_relative_squared_error: 1.106, scimark_benchmark: 1441.1605, usercpu_time_millis: 3120, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.5628, kappa: 0.4425, kb_relative_information_score: 648.0084, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5638, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.8528, scimark_benchmark: 1460.9467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.5427, kappa: 0.4097, kb_relative_information_score: 662.5049, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5476, predictive_accuracy: 0.5492, prior_entropy: 2.5035, recall: 0.5492, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.877, scimark_benchmark: 1380.2418, usercpu_time_millis: 4100, usercpu_time_millis_testing: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.5624, kappa: 0.4433, kb_relative_information_score: 671.0861, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5839, predictive_accuracy: 0.5708, prior_entropy: 2.5035, recall: 0.5708, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.239, root_relative_squared_error: 0.8574, scimark_benchmark: 1414.3885, usercpu_time_millis: 280, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.567, kappa: 0.4446, kb_relative_information_score: 696.8846, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5711, predictive_accuracy: 0.5755, prior_entropy: 2.5035, recall: 0.5755, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8685, scimark_benchmark: 1500.973, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 283.73, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9501, scimark_benchmark: 1408.1077, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.5867, kappa: 0.4729, kb_relative_information_score: 670.4501, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5865, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8382, scimark_benchmark: 1402.17, usercpu_time_millis: 2260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.5802, kappa: 0.4652, kb_relative_information_score: 714.972, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5786, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8503, scimark_benchmark: 1532.5639, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs