OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9119, kappa: 0.7808, kb_relative_information_score: 20932.5378, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9126, predictive_accuracy: 0.9135, prior_entropy: 0.863, recall: 0.9135, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5715, scimark_benchmark: 1231.019, usercpu_time_millis: 1631.591, usercpu_time_millis_testing: 38.221, usercpu_time_millis_training: 1593.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9399, kappa: 0.8514, kb_relative_information_score: 25706.0641, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4692, scimark_benchmark: 1272.2006, usercpu_time_millis: 1157.173, usercpu_time_millis_testing: 33.688, usercpu_time_millis_training: 1123.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9598, kappa: 0.901, kb_relative_information_score: 27753.7541, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3995, scimark_benchmark: 1267.5712, usercpu_time_millis: 3097.583, usercpu_time_millis_testing: 98.695, usercpu_time_millis_training: 2998.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28350.5956, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935, scimark_benchmark: 1243.6287, usercpu_time_millis: 3835.829, usercpu_time_millis_testing: 101.028, usercpu_time_millis_training: 3734.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9606, kappa: 0.9031, kb_relative_information_score: 28005.2049, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1264.5035, usercpu_time_millis: 605.68, usercpu_time_millis_testing: 32.632, usercpu_time_millis_training: 573.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 28436.1639, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3911, scimark_benchmark: 1271.4161, usercpu_time_millis: 7357.627, usercpu_time_millis_testing: 113.556, usercpu_time_millis_training: 7244.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.938, kappa: 0.8467, kb_relative_information_score: 25257.1331, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4758, scimark_benchmark: 1259.3706, usercpu_time_millis: 7286.918, usercpu_time_millis_testing: 18.051, usercpu_time_millis_training: 7268.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9559, kappa: 0.8915, kb_relative_information_score: 27471.2168, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4154, scimark_benchmark: 1235.6415, usercpu_time_millis: 425.459, usercpu_time_millis_testing: 17.731, usercpu_time_millis_training: 407.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.958, kappa: 0.8969, kb_relative_information_score: 28021.3412, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4025, scimark_benchmark: 1233.0527, usercpu_time_millis: 1114.968, usercpu_time_millis_testing: 19.462, usercpu_time_millis_training: 1095.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9378, kappa: 0.847, kb_relative_information_score: 25520.751, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.479, scimark_benchmark: 1272.3942, usercpu_time_millis: 6330.413, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 6329.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9688, kappa: 0.9235, kb_relative_information_score: 29821.5152, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3455, scimark_benchmark: 1250.5329, usercpu_time_millis: 4013.917, usercpu_time_millis_testing: 52.494, usercpu_time_millis_training: 3961.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29337.1858, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3583, scimark_benchmark: 1241.0443, usercpu_time_millis: 1579.098, usercpu_time_millis_testing: 38.039, usercpu_time_millis_training: 1541.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9655, kappa: 0.9151, kb_relative_information_score: 28695.5919, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3676, scimark_benchmark: 1258.8933, usercpu_time_millis: 473.954, usercpu_time_millis_testing: 23.641, usercpu_time_millis_training: 450.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29337.6148, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3611, scimark_benchmark: 1228.2821, usercpu_time_millis: 2754.969, usercpu_time_millis_testing: 51.299, usercpu_time_millis_training: 2703.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9492, kappa: 0.875, kb_relative_information_score: 26751.8001, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4399, scimark_benchmark: 1231.0226, usercpu_time_millis: 492.198, usercpu_time_millis_testing: 11.432, usercpu_time_millis_training: 480.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9294, kappa: 0.8244, kb_relative_information_score: 21029.741, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9305, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5505, scimark_benchmark: 1229.9363, usercpu_time_millis: 860.405, usercpu_time_millis_testing: 54.872, usercpu_time_millis_training: 805.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9434, kappa: 0.8611, kb_relative_information_score: 27419.7931, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4491, scimark_benchmark: 1307.0075, usercpu_time_millis: 2822.567, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 2821.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9497, kappa: 0.8756, kb_relative_information_score: 24801.6704, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4628, scimark_benchmark: 1267.0434, usercpu_time_millis: 1952.846, usercpu_time_millis_testing: 107.499, usercpu_time_millis_training: 1845.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9684, kappa: 0.9223, kb_relative_information_score: 29778.4664, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3454, scimark_benchmark: 1239.5158, usercpu_time_millis: 1979.312, usercpu_time_millis_testing: 35.646, usercpu_time_millis_training: 1943.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28698.3988, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3795, scimark_benchmark: 1267.2971, usercpu_time_millis: 5936.666, usercpu_time_millis_testing: 95.27, usercpu_time_millis_training: 5841.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9394, kappa: 0.8494, kb_relative_information_score: 22161.4976, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5238, scimark_benchmark: 1274.6372, usercpu_time_millis: 399.935, usercpu_time_millis_testing: 23.087, usercpu_time_millis_training: 376.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28524.3155, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3904, scimark_benchmark: 1210.2508, usercpu_time_millis: 1101.374, usercpu_time_millis_testing: 15.005, usercpu_time_millis_training: 1086.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29404.2126, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3566, scimark_benchmark: 1225.783, usercpu_time_millis: 964.505, usercpu_time_millis_testing: 19.595, usercpu_time_millis_training: 944.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9499, kappa: 0.8758, kb_relative_information_score: 24129.9409, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4728, scimark_benchmark: 1271.4071, usercpu_time_millis: 355.361, usercpu_time_millis_testing: 26.952, usercpu_time_millis_training: 328.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9645, kappa: 0.913, kb_relative_information_score: 29127.8734, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3713, scimark_benchmark: 1247.8552, usercpu_time_millis: 6100.801, usercpu_time_millis_testing: 61.473, usercpu_time_millis_training: 6039.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9515, kappa: 0.8805, kb_relative_information_score: 26818.1692, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, scimark_benchmark: 1269.9477, usercpu_time_millis: 265.343, usercpu_time_millis_testing: 12.813, usercpu_time_millis_training: 252.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9193, kappa: 0.7978, kb_relative_information_score: 20635.6324, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9217, prior_entropy: 0.863, recall: 0.9217, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5654, scimark_benchmark: 1225.0691, usercpu_time_millis: 1570.833, usercpu_time_millis_testing: 64.408, usercpu_time_millis_training: 1506.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.955, kappa: 0.8892, kb_relative_information_score: 26772.5174, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239, scimark_benchmark: 1266.3472, usercpu_time_millis: 3474.853, usercpu_time_millis_testing: 107.646, usercpu_time_millis_training: 3367.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.962, kappa: 0.9068, kb_relative_information_score: 28762.5258, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3821, scimark_benchmark: 1245.6271, usercpu_time_millis: 6372.745, usercpu_time_millis_testing: 107.258, usercpu_time_millis_training: 6265.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.943, kappa: 0.8588, kb_relative_information_score: 25442.1433, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4634, scimark_benchmark: 1279.8784, usercpu_time_millis: 728.036, usercpu_time_millis_testing: 25.022, usercpu_time_millis_training: 703.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29143.6676, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3626, scimark_benchmark: 1251.8603, usercpu_time_millis: 2300.201, usercpu_time_millis_testing: 68.95, usercpu_time_millis_training: 2231.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9561, kappa: 0.8915, kb_relative_information_score: 26261.0375, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4266, scimark_benchmark: 1233.9309, usercpu_time_millis: 462.576, usercpu_time_millis_testing: 31.368, usercpu_time_millis_training: 431.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9689, kappa: 0.9236, kb_relative_information_score: 29843.0672, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3456, scimark_benchmark: 1222.7838, usercpu_time_millis: 3165.903, usercpu_time_millis_testing: 25.386, usercpu_time_millis_training: 3140.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8763, kappa: 0.6978, kb_relative_information_score: 17466.976, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8767, predictive_accuracy: 0.876, prior_entropy: 0.863, recall: 0.876, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6456, scimark_benchmark: 1239.5008, usercpu_time_millis: 769.073, usercpu_time_millis_testing: 30.985, usercpu_time_millis_training: 738.088,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9496, kappa: 0.8764, kb_relative_information_score: 27094.175, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4376, scimark_benchmark: 1238.6006, usercpu_time_millis: 2222.976, usercpu_time_millis_testing: 27.615, usercpu_time_millis_training: 2195.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9297, kappa: 0.8251, kb_relative_information_score: 21921.8504, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9309, predictive_accuracy: 0.931, prior_entropy: 0.863, recall: 0.931, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5342, scimark_benchmark: 1238.9911, usercpu_time_millis: 93.55, usercpu_time_millis_testing: 5.861, usercpu_time_millis_training: 87.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.953, kappa: 0.8844, kb_relative_information_score: 26957.9852, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286, scimark_benchmark: 1223.572, usercpu_time_millis: 1952.681, usercpu_time_millis_testing: 49.325, usercpu_time_millis_training: 1903.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9338, kappa: 0.8359, kb_relative_information_score: 25270.5472, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4905, scimark_benchmark: 1222.6687, usercpu_time_millis: 3212.189, usercpu_time_millis_testing: 55.062, usercpu_time_millis_training: 3157.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9516, kappa: 0.8808, kb_relative_information_score: 26781.229, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4338, scimark_benchmark: 1220.8393, usercpu_time_millis: 4114.737, usercpu_time_millis_testing: 92.828, usercpu_time_millis_training: 4021.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9292, kappa: 0.8224, kb_relative_information_score: 19109.8914, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9315, prior_entropy: 0.863, recall: 0.9315, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5825, scimark_benchmark: 1270.2718, usercpu_time_millis: 842.022, usercpu_time_millis_testing: 63.579, usercpu_time_millis_training: 778.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.938, kappa: 0.8466, kb_relative_information_score: 25425.1239, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4775, scimark_benchmark: 1258.3623, usercpu_time_millis: 1815.148, usercpu_time_millis_testing: 54.072, usercpu_time_millis_training: 1761.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9578, kappa: 0.8958, kb_relative_information_score: 26664.1339, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4162, scimark_benchmark: 1269.7583, usercpu_time_millis: 519.48, usercpu_time_millis_testing: 27.43, usercpu_time_millis_training: 492.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9371, kappa: 0.844, kb_relative_information_score: 23881.0817, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4962, scimark_benchmark: 1228.254, usercpu_time_millis: 1724.151, usercpu_time_millis_testing: 62.376, usercpu_time_millis_training: 1661.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9318, kappa: 0.8306, kb_relative_information_score: 25025.2511, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4946, scimark_benchmark: 1248.6513, usercpu_time_millis: 100.509, usercpu_time_millis_testing: 3.778, usercpu_time_millis_training: 96.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 29479.0417, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1252.3343, usercpu_time_millis: 148.71, usercpu_time_millis_testing: 4.321, usercpu_time_millis_training: 144.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 27530.7434, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4225, scimark_benchmark: 1228.361, usercpu_time_millis: 6752.761, usercpu_time_millis_testing: 90.329, usercpu_time_millis_training: 6662.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 28942.7638, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3767, scimark_benchmark: 1294.8237, usercpu_time_millis: 7276.386, usercpu_time_millis_testing: 85.069, usercpu_time_millis_training: 7191.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 28837.1389, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3758, scimark_benchmark: 1269.4994, usercpu_time_millis: 2823.751, usercpu_time_millis_testing: 63.447, usercpu_time_millis_training: 2760.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29693.7409, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.346, scimark_benchmark: 1262.2604, usercpu_time_millis: 2051.557, usercpu_time_millis_testing: 51.099, usercpu_time_millis_training: 2000.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9366, kappa: 0.843, kb_relative_information_score: 25539.454, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4816, scimark_benchmark: 1207.7147, usercpu_time_millis: 1444.899, usercpu_time_millis_testing: 54.438, usercpu_time_millis_training: 1390.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9357, kappa: 0.8408, kb_relative_information_score: 25469.6033, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.936, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4863, scimark_benchmark: 1231.6502, usercpu_time_millis: 9780.014, usercpu_time_millis_testing: 74.572, usercpu_time_millis_training: 9705.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9405, kappa: 0.8528, kb_relative_information_score: 25846.5171, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4668, scimark_benchmark: 1215.6542, usercpu_time_millis: 2669.381, usercpu_time_millis_testing: 47.211, usercpu_time_millis_training: 2622.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9554, kappa: 0.8905, kb_relative_information_score: 27380.1637, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.418, scimark_benchmark: 1245.8841, usercpu_time_millis: 4543.51, usercpu_time_millis_testing: 93.14, usercpu_time_millis_training: 4450.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9242, kappa: 0.8103, kb_relative_information_score: 24460.7601, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5056, scimark_benchmark: 1223.5661, usercpu_time_millis: 4131.764, usercpu_time_millis_testing: 55.654, usercpu_time_millis_training: 4076.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9608, kappa: 0.9037, kb_relative_information_score: 28156.3741, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.389, scimark_benchmark: 1279.8534, usercpu_time_millis: 228.661, usercpu_time_millis_testing: 11.455, usercpu_time_millis_training: 217.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9582, kappa: 0.8965, kb_relative_information_score: 25905.0222, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1241.3604, usercpu_time_millis: 708.228, usercpu_time_millis_testing: 38.807, usercpu_time_millis_training: 669.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9441, kappa: 0.8619, kb_relative_information_score: 23341.0618, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4834, scimark_benchmark: 1257.5017, usercpu_time_millis: 569.581, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 567.454,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9385, kappa: 0.8479, kb_relative_information_score: 25641.2536, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4743, scimark_benchmark: 1248.2714, usercpu_time_millis: 324.416, usercpu_time_millis_testing: 9.062, usercpu_time_millis_training: 315.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9624, kappa: 0.9075, kb_relative_information_score: 27905.0792, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1245.7231, usercpu_time_millis: 310.951, usercpu_time_millis_testing: 14.711, usercpu_time_millis_training: 296.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29567.7753, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553, scimark_benchmark: 1281.1272, usercpu_time_millis: 8140.082, usercpu_time_millis_testing: 63.916, usercpu_time_millis_training: 8076.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29615.658, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507, scimark_benchmark: 1308.2964, usercpu_time_millis: 3520.645, usercpu_time_millis_testing: 64.593, usercpu_time_millis_training: 3456.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28533.7933, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1309.0621, usercpu_time_millis: 5791.444, usercpu_time_millis_testing: 94.568, usercpu_time_millis_training: 5696.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9551, kappa: 0.8895, kb_relative_information_score: 27824.1631, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4075, scimark_benchmark: 1291.4647, usercpu_time_millis: 7434.527, usercpu_time_millis_testing: 53.288, usercpu_time_millis_training: 7381.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9449, kappa: 0.8639, kb_relative_information_score: 25941.6043, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.455, scimark_benchmark: 1302.5361, usercpu_time_millis: 2315.625, usercpu_time_millis_testing: 77.022, usercpu_time_millis_training: 2238.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1052.1809, usercpu_time_millis: 435.057, usercpu_time_millis_testing: 434.134, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9529, kappa: 0.884, kb_relative_information_score: 26772.2258, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, scimark_benchmark: 1253.274, usercpu_time_millis: 703.585, usercpu_time_millis_testing: 27.825, usercpu_time_millis_training: 675.76,

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