OpenML
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 4553 Supervised Classification squash-unstored 191 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7387, kappa: 0.4751, kb_relative_information_score: 245.8346, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7393, predictive_accuracy: 0.7385, prior_entropy: 0.996, recall: 0.7385, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9916, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7388, kappa: 0.4757, kb_relative_information_score: 237.7918, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7399, predictive_accuracy: 0.7385, prior_entropy: 0.996, recall: 0.7385, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9666, scimark_benchmark: 1337.446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6957, kappa: 0.3872, kb_relative_information_score: 181.2173, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6956, predictive_accuracy: 0.6962, prior_entropy: 0.996, recall: 0.6962, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9607, scimark_benchmark: 1337.446, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.5761, kappa: 0.1469, kb_relative_information_score: 85.8437, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.5776, predictive_accuracy: 0.5808, prior_entropy: 0.996, recall: 0.5808, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6058, root_relative_squared_error: 1.2152, scimark_benchmark: 1343.5291, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.9611, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7783, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7738, kappa: 0.5442, kb_relative_information_score: 277.7405, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7756, predictive_accuracy: 0.775, prior_entropy: 0.996, recall: 0.775, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9353, scimark_benchmark: 889.3151, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7138, kappa: 0.4279, kb_relative_information_score: 66.1648, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7306, predictive_accuracy: 0.7212, prior_entropy: 0.996, recall: 0.7212, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9241, scimark_benchmark: 1342.2985, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7185, kappa: 0.4365, kb_relative_information_score: 67.6747, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7332, predictive_accuracy: 0.725, prior_entropy: 0.996, recall: 0.725, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9205, scimark_benchmark: 932.5646, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7534, kappa: 0.5033, kb_relative_information_score: 117.201, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7535, predictive_accuracy: 0.7538, prior_entropy: 0.996, recall: 0.7538, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8634, scimark_benchmark: 922.1419, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 854.5188, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.8109, kappa: 0.619, kb_relative_information_score: 302.6707, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8118, predictive_accuracy: 0.8115, prior_entropy: 0.996, recall: 0.8115, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8394, scimark_benchmark: 1350.4702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.764, kappa: 0.5246, kb_relative_information_score: 273.3907, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.766, predictive_accuracy: 0.7654, prior_entropy: 0.996, recall: 0.7654, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9254, scimark_benchmark: 1324.5988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.9611, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7783, scimark_benchmark: 1334.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6881, kappa: 0.3717, kb_relative_information_score: 166.8891, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6901, predictive_accuracy: 0.6904, prior_entropy: 0.996, recall: 0.6904, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0278, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6978, kappa: 0.3941, kb_relative_information_score: 65.4539, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7088, predictive_accuracy: 0.7038, prior_entropy: 0.996, recall: 0.7038, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9269, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.7033, kappa: 0.4024, kb_relative_information_score: 156.4002, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7033, predictive_accuracy: 0.7038, prior_entropy: 0.996, recall: 0.7038, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9605, scimark_benchmark: 943.1756, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6781, kappa: 0.3547, kb_relative_information_score: 64.228, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6883, predictive_accuracy: 0.6846, prior_entropy: 0.996, recall: 0.6846, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.933, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7194, kappa: 0.4361, kb_relative_information_score: 168.862, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7198, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9753, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6217, kappa: 0.2416, kb_relative_information_score: 122.7037, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6236, predictive_accuracy: 0.6212, prior_entropy: 0.996, recall: 0.6212, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.2347, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6754, kappa: 0.3487, kb_relative_information_score: 173.6826, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6767, predictive_accuracy: 0.675, prior_entropy: 0.996, recall: 0.675, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1206, scimark_benchmark: 854.6529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6754, kappa: 0.3487, kb_relative_information_score: 179.1496, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6767, predictive_accuracy: 0.675, prior_entropy: 0.996, recall: 0.675, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.1436, scimark_benchmark: 1319.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.6571, kappa: 0.3104, kb_relative_information_score: 120.6856, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6615, predictive_accuracy: 0.6615, prior_entropy: 0.996, recall: 0.6615, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9846, scimark_benchmark: 1176.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.688, kappa: 0.3717, kb_relative_information_score: 124.5747, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6879, predictive_accuracy: 0.6885, prior_entropy: 0.996, recall: 0.6885, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.963, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7796, kappa: 0.556, kb_relative_information_score: 252.2132, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7814, predictive_accuracy: 0.7808, prior_entropy: 0.996, recall: 0.7808, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8525, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.9611, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7783, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.6632, kappa: 0.3241, kb_relative_information_score: 195.189, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6711, predictive_accuracy: 0.6692, prior_entropy: 0.996, recall: 0.6692, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0258, scimark_benchmark: 1318.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7739, kappa: 0.5445, kb_relative_information_score: 269.776, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7754, predictive_accuracy: 0.775, prior_entropy: 0.996, recall: 0.775, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8968, scimark_benchmark: 1264.0609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.6023, kappa: 0.1987, kb_relative_information_score: 98.8478, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6022, predictive_accuracy: 0.6038, prior_entropy: 0.996, recall: 0.6038, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.2327, scimark_benchmark: 1217.7855, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.6023, kappa: 0.1987, kb_relative_information_score: 98.8478, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6022, predictive_accuracy: 0.6038, prior_entropy: 0.996, recall: 0.6038, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.2327, scimark_benchmark: 1313.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7194, kappa: 0.4361, kb_relative_information_score: 168.862, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7198, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9753, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.661, kappa: 0.3199, kb_relative_information_score: 193.2513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6692, predictive_accuracy: 0.6673, prior_entropy: 0.996, recall: 0.6673, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0304, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.6696, kappa: 0.3365, kb_relative_information_score: 196.7007, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6766, predictive_accuracy: 0.675, prior_entropy: 0.996, recall: 0.675, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0236, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6315, f_measure: 0.6353, kappa: 0.2656, kb_relative_information_score: 140.847, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6371, predictive_accuracy: 0.6385, prior_entropy: 0.996, recall: 0.6385, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.2061, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.6545, kappa: 0.3039, kb_relative_information_score: 69.1548, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6547, predictive_accuracy: 0.6558, prior_entropy: 0.996, recall: 0.6558, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1028, scimark_benchmark: 1419.2433,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.0091, build_memory: 1334431878.4, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.0059, build_memory: 2487731516.4, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.0067, build_memory: 1108910949.3692, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.0062, build_memory: 1518180126.0923, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.0055, build_memory: 2217892722.9231, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, build_cpu_time: 0.2013, build_memory: 211259086.5077, f_measure: 0.8054, kappa: 0.6079, kb_relative_information_score: 212.8593, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8057, predictive_accuracy: 0.8058, prior_entropy: 0.996, recall: 0.8058, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7746, scimark_benchmark: 938.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, build_cpu_time: 0.0744, build_memory: 1164149310.6, f_measure: 0.8014, kappa: 0.5999, kb_relative_information_score: 198.8881, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8019, predictive_accuracy: 0.8019, prior_entropy: 0.996, recall: 0.8019, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7801, scimark_benchmark: 944.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, build_cpu_time: 0.1632, build_memory: 865056479.1385, f_measure: 0.7935, kappa: 0.5839, kb_relative_information_score: 197.6855, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7945, predictive_accuracy: 0.7942, prior_entropy: 0.996, recall: 0.7942, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7829, scimark_benchmark: 932.1673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0201, build_memory: 284899369.1385, f_measure: 0.7798, kappa: 0.5563, kb_relative_information_score: 194.9453, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7811, predictive_accuracy: 0.7808, prior_entropy: 0.996, recall: 0.7808, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7915, scimark_benchmark: 931.1445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7935, kappa: 0.5839, kb_relative_information_score: 199.3919, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7945, predictive_accuracy: 0.7942, prior_entropy: 0.996, recall: 0.7942, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7955,

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