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OpenML
Task
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 5 Supervised Classification arrhythmia 3391 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.4806, kappa: 0.1871, kb_relative_information_score: 140.8636, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.497, predictive_accuracy: 0.5885, prior_entropy: 2.5222, recall: 0.5885, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.9778, scimark_benchmark: 924.3698, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.4852, kappa: 0.1981, kb_relative_information_score: 133.5925, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4907, predictive_accuracy: 0.5841, prior_entropy: 2.5222, recall: 0.5841, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2083, root_relative_squared_error: 1.0137, scimark_benchmark: 889.3151, usercpu_time_millis: 460, usercpu_time_millis_testing: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.3811, kb_relative_information_score: -20.4105, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2929, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2318, root_relative_squared_error: 1.128, scimark_benchmark: 1297.6599, usercpu_time_millis: 2070, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.6704, kappa: 0.5192, kb_relative_information_score: -2.0095, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6796, predictive_accuracy: 0.7124, prior_entropy: 2.5222, recall: 0.7124, relative_absolute_error: 1.2834, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.23, root_relative_squared_error: 1.1193, scimark_benchmark: 894.7222, usercpu_time_millis: 580, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.708, kappa: 0.577, kb_relative_information_score: 243.4496, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6914, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.777, scimark_benchmark: 944.4621, usercpu_time_millis: 4280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.592, kappa: 0.3971, kb_relative_information_score: 165.2889, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5961, predictive_accuracy: 0.5929, prior_entropy: 2.5222, recall: 0.5929, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2256, root_relative_squared_error: 1.0977, scimark_benchmark: 1250.8301, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 81.8152, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1325.942, usercpu_time_millis: 1600, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.6788, kappa: 0.5474, kb_relative_information_score: 243.4771, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6632, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.864, scimark_benchmark: 1325.942, usercpu_time_millis: 160, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6031, kappa: 0.4172, kb_relative_information_score: 191.8473, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5872, predictive_accuracy: 0.6372, prior_entropy: 2.5222, recall: 0.6372, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2057, root_relative_squared_error: 1.0009, scimark_benchmark: 1250.8301, usercpu_time_millis: 821160, usercpu_time_millis_testing: 3800, usercpu_time_millis_training: 817360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.5969, kappa: 0.4066, kb_relative_information_score: 175.0002, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5963, predictive_accuracy: 0.6704, prior_entropy: 2.5222, recall: 0.6704, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.82, scimark_benchmark: 1325.942, usercpu_time_millis: 570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.5172, kappa: 0.283, kb_relative_information_score: 127.1049, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5178, predictive_accuracy: 0.5177, prior_entropy: 2.5222, recall: 0.5177, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2455, root_relative_squared_error: 1.1946, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.6481, kappa: 0.5014, kb_relative_information_score: 176.6854, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6249, predictive_accuracy: 0.6814, prior_entropy: 2.5222, recall: 0.6814, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.177, root_relative_squared_error: 0.8615, scimark_benchmark: 1280.6952, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.6732, kappa: 0.5336, kb_relative_information_score: 197.6689, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6571, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.8513, scimark_benchmark: 1361.1055, usercpu_time_millis: 1440, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.5976, kappa: 0.418, kb_relative_information_score: 183.7669, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6026, predictive_accuracy: 0.6615, prior_entropy: 2.5222, recall: 0.6615, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2057, root_relative_squared_error: 1.001, scimark_benchmark: 1353.6735, usercpu_time_millis: 700, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3811, kb_relative_information_score: 81.8152, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.1643, scimark_benchmark: 1384.4418, usercpu_time_millis: 570, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.6544, kappa: 0.4879, kb_relative_information_score: 205.7412, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6519, predictive_accuracy: 0.6593, prior_entropy: 2.5222, recall: 0.6593, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.9727, scimark_benchmark: 1466.6185, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.4732, kappa: 0.2074, kb_relative_information_score: 126.1875, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4426, predictive_accuracy: 0.5929, prior_entropy: 2.5222, recall: 0.5929, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2256, root_relative_squared_error: 1.0977, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.6546, kappa: 0.4954, kb_relative_information_score: 218.2916, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6399, predictive_accuracy: 0.677, prior_entropy: 2.5222, recall: 0.677, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.8994, scimark_benchmark: 889.9795, usercpu_time_millis: 486030, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 485790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6274, kappa: 0.4594, kb_relative_information_score: 203.2238, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6125, predictive_accuracy: 0.6527, prior_entropy: 2.5222, recall: 0.6527, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2084, root_relative_squared_error: 1.014, scimark_benchmark: 1054.3694, usercpu_time_millis: 10780, usercpu_time_millis_training: 10780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6165, kappa: 0.4395, kb_relative_information_score: 180.8273, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6003, predictive_accuracy: 0.635, prior_entropy: 2.5222, recall: 0.635, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9902, scimark_benchmark: 977.6382, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.6231, kappa: 0.4486, kb_relative_information_score: 196.7783, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6209, predictive_accuracy: 0.6305, prior_entropy: 2.5222, recall: 0.6305, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.9942, scimark_benchmark: 945.6434, usercpu_time_millis: 10640, usercpu_time_millis_testing: 4120, usercpu_time_millis_training: 6520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.638, kappa: 0.4746, kb_relative_information_score: 156.0112, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6363, predictive_accuracy: 0.646, prior_entropy: 2.5222, recall: 0.646, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.9523, scimark_benchmark: 942.6953, usercpu_time_millis: 18600, usercpu_time_millis_testing: 6680, usercpu_time_millis_training: 11920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.6505, kappa: 0.4914, kb_relative_information_score: 125.6406, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6507, predictive_accuracy: 0.6549, prior_entropy: 2.5222, recall: 0.6549, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.9228, scimark_benchmark: 945.6434, usercpu_time_millis: 8390, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 5610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 940.2922, usercpu_time_millis: 8500, usercpu_time_millis_testing: 2820, usercpu_time_millis_training: 5680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 926.6717, usercpu_time_millis: 8410, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 5600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 942.1229, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 938.4278, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 876.8277, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 939.7623, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 4.4376, build_memory: 902603139.8584, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 123.9187, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9124, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, build_cpu_time: 78.5902, build_memory: 33404993.6106, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 923.9118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, build_cpu_time: 71.967, build_memory: 46538298.7788, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 7435.5173, build_memory: 262341680.1593, f_measure: 0.699, kappa: 0.5586, kb_relative_information_score: 237.0464, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6913, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.919, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, build_cpu_time: 3749.0168, build_memory: 420775527.4513, f_measure: 0.7023, kappa: 0.5641, kb_relative_information_score: 240.5499, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6948, predictive_accuracy: 0.7168, prior_entropy: 2.5222, recall: 0.7168, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.9127, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, build_cpu_time: 1840.4552, build_memory: 1766959209.0797, f_measure: 0.6966, kappa: 0.5527, kb_relative_information_score: 237.2935, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6887, predictive_accuracy: 0.7102, prior_entropy: 2.5222, recall: 0.7102, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.9181, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 942.938, build_memory: 132168491.6814, f_measure: 0.7017, kappa: 0.5629, kb_relative_information_score: 243.2116, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6927, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.8968, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, build_cpu_time: 449.6695, build_memory: 142441055.3628, f_measure: 0.7007, kappa: 0.5602, kb_relative_information_score: 242.381, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6933, predictive_accuracy: 0.7124, prior_entropy: 2.5222, recall: 0.7124, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.8874, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, build_cpu_time: 85.7931, build_memory: 1018431224.7965, f_measure: 0.6989, kappa: 0.5702, kb_relative_information_score: 173.1716, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6889, predictive_accuracy: 0.7323, prior_entropy: 2.5222, recall: 0.7323, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.167, root_relative_squared_error: 0.8126, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, build_cpu_time: 90.5864, build_memory: 259849397.646, f_measure: 0.6972, kappa: 0.5644, kb_relative_information_score: 176.2654, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6868, predictive_accuracy: 0.7301, prior_entropy: 2.5222, recall: 0.7301, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.8109, scimark_benchmark: 924.2473,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, build_cpu_time: 119.3474, build_memory: 884013801.1327, f_measure: 0.7061, kappa: 0.5766, kb_relative_information_score: 246.9418, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.693, predictive_accuracy: 0.7412, prior_entropy: 2.5222, recall: 0.7412, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.8719, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, build_cpu_time: 60.6023, build_memory: 801544744.2301, f_measure: 0.7204, kappa: 0.5987, kb_relative_information_score: 252.4436, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7169, predictive_accuracy: 0.7522, prior_entropy: 2.5222, recall: 0.7522, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.8559, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, build_cpu_time: 38.095, build_memory: 1352401686.5133, f_measure: 0.7123, kappa: 0.5909, kb_relative_information_score: 251.9509, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6933, predictive_accuracy: 0.7456, prior_entropy: 2.5222, recall: 0.7456, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.175, root_relative_squared_error: 0.8517, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 16.4306, build_memory: 929169951.2212, f_measure: 0.7035, kappa: 0.5736, kb_relative_information_score: 248.5969, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6847, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.8586, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, build_cpu_time: 7.844, build_memory: 1111726609.823, f_measure: 0.7034, kappa: 0.5762, kb_relative_information_score: 245.7474, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6854, predictive_accuracy: 0.7367, prior_entropy: 2.5222, recall: 0.7367, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.8403, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, build_cpu_time: 3.7054, build_memory: 441571937.7168, f_measure: 0.6877, kappa: 0.5473, kb_relative_information_score: 238.2753, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6738, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.8836, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, build_cpu_time: 7.8404, build_memory: 1640558195.469, f_measure: 0.7044, kappa: 0.5706, kb_relative_information_score: 249.4661, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6961, predictive_accuracy: 0.7279, prior_entropy: 2.5222, recall: 0.7279, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.8647, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 15.8144, build_memory: 642139117.8407, f_measure: 0.7033, kappa: 0.5728, kb_relative_information_score: 245.2202, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6962, predictive_accuracy: 0.7257, prior_entropy: 2.5222, recall: 0.7257, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.8845, scimark_benchmark: 890.3066,

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