OpenML
Supervised Classification on disclosure_x_noise

Supervised Classification on disclosure_x_noise

Task 3692 Supervised Classification disclosure_x_noise 541 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

541 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, build_cpu_time: 0.0065, build_memory: 747971516.5196, f_measure: 0.493, kappa: -0.0082, kb_relative_information_score: 5.3292, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4958, predictive_accuracy: 0.4955, prior_entropy: 1, recall: 0.4955, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.1014, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 0.011, build_memory: 125985454.3444, f_measure: 0.4946, kappa: -0.0085, kb_relative_information_score: -3.1963, mean_absolute_error: 0.5017, 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: 1.0034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0907, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 0.0109, build_memory: 450427058.5015, f_measure: 0.4946, kappa: -0.0085, kb_relative_information_score: -3.1963, mean_absolute_error: 0.5017, 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: 1.0034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0907, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 0.0103, build_memory: 623760431.7704, f_measure: 0.4946, kappa: -0.0085, kb_relative_information_score: -3.1963, mean_absolute_error: 0.5017, 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: 1.0034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0907, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 0.0189, build_memory: 331549539.2387, f_measure: 0.4946, kappa: -0.0085, kb_relative_information_score: -3.1963, mean_absolute_error: 0.5017, 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: 1.0034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0907, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, build_cpu_time: 0.0318, build_memory: 501288577.0393, f_measure: 0.4889, kappa: -0.0207, kb_relative_information_score: -3.4584, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4896, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.535, root_relative_squared_error: 1.0701, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, build_cpu_time: 0.0774, build_memory: 553658747.9758, f_measure: 0.499, kappa: 0.0517, kb_relative_information_score: 0.3851, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5332, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, build_cpu_time: 0.0823, build_memory: 376501792.7009, f_measure: 0.499, kappa: 0.0517, kb_relative_information_score: 0.3851, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5332, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, build_cpu_time: 0.0384, build_memory: 1086521133.0514, f_measure: 0.4625, kappa: 0.0236, kb_relative_information_score: 0.3156, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5189, predictive_accuracy: 0.5136, prior_entropy: 1, recall: 0.5136, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, build_cpu_time: 0.1273, build_memory: 332953828.7613, f_measure: 0.4985, kappa: -0.0029, kb_relative_information_score: 0.7179, mean_absolute_error: 0.4993, 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: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0569, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, build_cpu_time: 0.0203, build_memory: 126513627.2266, f_measure: 0.4361, kappa: -0.0071, kb_relative_information_score: -0.9853, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4937, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.002, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, build_cpu_time: 0.0706, build_memory: 1172464046.284, f_measure: 0.4978, kappa: 0.0105, kb_relative_information_score: 10.4182, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5056, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, build_cpu_time: 0.1052, build_memory: 1275787616.1329, f_measure: 0.4978, kappa: 0.0105, kb_relative_information_score: 10.4182, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5056, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, build_cpu_time: 0.1094, build_memory: 1328980809.5227, f_measure: 0.4978, kappa: 0.0105, kb_relative_information_score: 10.4182, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5056, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, build_cpu_time: 21.0726, build_memory: 138697724.1934, f_measure: 0.5002, kappa: 0.0311, kb_relative_information_score: 7.444, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5178, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0013, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, build_cpu_time: 51.8662, build_memory: 2669689078.8036, f_measure: 0.5053, kappa: 0.0432, kb_relative_information_score: 7.7217, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.525, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 933.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, build_cpu_time: 0.0336, build_memory: 825340275.7583, f_measure: 0.511, kappa: 0.0291, kb_relative_information_score: 5.7672, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5151, predictive_accuracy: 0.5151, prior_entropy: 1, recall: 0.5151, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, build_cpu_time: 0.0186, build_memory: 1501812790.2719, f_measure: 0.5123, kappa: 0.0321, kb_relative_information_score: 4.9155, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5166, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, build_cpu_time: 0.0121, build_memory: 1365294818.5619, f_measure: 0.4916, kappa: -0.0016, kb_relative_information_score: 3.4992, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4992, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, build_cpu_time: 0.187, build_memory: 95721518.6707, f_measure: 0.5128, kappa: 0.0437, kb_relative_information_score: 6.1729, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5237, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0135, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, build_cpu_time: 0.0037, build_memory: 1379689894.5861, f_measure: 0.4978, kappa: 0.0105, kb_relative_information_score: 5.2653, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5056, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, build_cpu_time: 0.0018, build_memory: 1206465336.8218, f_measure: 0.5118, kappa: 0.0321, kb_relative_information_score: 6.9896, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5167, predictive_accuracy: 0.5166, prior_entropy: 1, recall: 0.5166, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, build_cpu_time: 0.937, build_memory: 1018308820.9547, f_measure: 0.4999, kappa: 0.0136, kb_relative_information_score: 5.1257, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5073, predictive_accuracy: 0.5076, prior_entropy: 1, recall: 0.5076, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0027, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, build_cpu_time: 1.6967, build_memory: 2480348597.3293, f_measure: 0.5137, kappa: 0.0437, kb_relative_information_score: 6.036, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5236, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, build_cpu_time: 4.3198, build_memory: 138857820.4834, f_measure: 0.5119, kappa: 0.0407, kb_relative_information_score: 5.8503, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.522, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, build_cpu_time: 8.3232, build_memory: 1641470547.9275, f_measure: 0.5281, kappa: 0.0653, kb_relative_information_score: 6.1892, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5341, predictive_accuracy: 0.5332, prior_entropy: 1, recall: 0.5332, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, build_cpu_time: 16.1385, build_memory: 545338587.3233, f_measure: 0.5264, kappa: 0.0622, kb_relative_information_score: 6.0164, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5325, predictive_accuracy: 0.5317, prior_entropy: 1, recall: 0.5317, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 940.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, build_cpu_time: 2.0205, build_memory: 216023541.6556, f_measure: 0.4758, kappa: -0.0485, kb_relative_information_score: -32.5646, mean_absolute_error: 0.5245, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4758, predictive_accuracy: 0.4758, prior_entropy: 1, recall: 0.4758, relative_absolute_error: 1.049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3303, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4623, build_cpu_time: 1.1562, build_memory: 913109651.7341, f_measure: 0.4669, kappa: -0.0641, kb_relative_information_score: -38.1765, mean_absolute_error: 0.5272, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4677, predictive_accuracy: 0.4683, prior_entropy: 1, recall: 0.4683, relative_absolute_error: 1.0544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.649, root_relative_squared_error: 1.298, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4692, build_cpu_time: 0.5183, build_memory: 1051179170.3686, f_measure: 0.4849, kappa: -0.0303, kb_relative_information_score: -24.0755, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4849, predictive_accuracy: 0.4849, prior_entropy: 1, recall: 0.4849, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6272, root_relative_squared_error: 1.2544, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, build_cpu_time: 0.2685, build_memory: 148058177.994, f_measure: 0.486, kappa: -0.0222, kb_relative_information_score: -14.5638, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4887, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6073, root_relative_squared_error: 1.2147, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, build_cpu_time: 0.2835, build_memory: 96892205.2326, f_measure: 0.486, kappa: -0.0222, kb_relative_information_score: -14.5638, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4887, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6073, root_relative_squared_error: 1.2147, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, build_cpu_time: 0.2159, build_memory: 49352653.1118, f_measure: 0.486, kappa: -0.0222, kb_relative_information_score: -14.5638, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4887, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6073, root_relative_squared_error: 1.2147, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, build_cpu_time: 0.1641, build_memory: 502980430.0181, f_measure: 0.4635, kappa: -0.0728, kb_relative_information_score: -30.8102, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4636, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6028, root_relative_squared_error: 1.2057, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, build_cpu_time: 0.1112, build_memory: 428993323.1903, f_measure: 0.4635, kappa: -0.0728, kb_relative_information_score: -30.8102, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4636, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6028, root_relative_squared_error: 1.2057, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, build_cpu_time: 1.729, build_memory: 303859394.1631, f_measure: 0.4838, kappa: -0.0308, kb_relative_information_score: -3.3514, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4845, predictive_accuracy: 0.4849, prior_entropy: 1, recall: 0.4849, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0127, scimark_benchmark: 943.2465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, build_cpu_time: 3.5684, build_memory: 1130200032.0846, f_measure: 0.4892, kappa: -0.0189, kb_relative_information_score: -3.5593, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4905, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0137, scimark_benchmark: 942.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, build_cpu_time: 0.1972, build_memory: 128419627.4199, f_measure: 0.4941, kappa: 0.0132, kb_relative_information_score: 4.5477, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5074, predictive_accuracy: 0.5076, prior_entropy: 1, recall: 0.5076, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 931.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, build_cpu_time: 0.1376, build_memory: 594193064.6767, f_measure: 0.4925, kappa: 0.0072, kb_relative_information_score: 4.6974, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.504, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 941.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, build_cpu_time: 0.0633, build_memory: 1603292985.6435, f_measure: 0.4781, kappa: 0.0005, kb_relative_information_score: 4.5879, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5003, predictive_accuracy: 0.5015, prior_entropy: 1, recall: 0.5015, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 923.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, build_cpu_time: 0.0241, build_memory: 1781693563.1903, f_measure: 0.4858, kappa: 0.0127, kb_relative_information_score: 4.8425, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5076, predictive_accuracy: 0.5076, prior_entropy: 1, recall: 0.5076, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 861.3446,

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