Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 258 Supervised Classification optdigits 301 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9774, kappa: 0.9748, kb_relative_information_score: 1813.75, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9776, predictive_accuracy: 0.9773, prior_entropy: 3.3218, recall: 0.9773, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2091, scimark_benchmark: 942.9708, usercpu_time_millis: 332430, usercpu_time_millis_testing: 332430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9029, kappa: 0.8921, kb_relative_information_score: 1651.6499, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9034, predictive_accuracy: 0.9029, prior_entropy: 3.3218, recall: 0.9029, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.448, scimark_benchmark: 1340.1351, usercpu_time_millis: 2910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8583, kappa: 0.843, kb_relative_information_score: 1576.3454, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8591, predictive_accuracy: 0.8587, prior_entropy: 3.3218, recall: 0.8587, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5408, scimark_benchmark: 1337.5749, usercpu_time_millis: 1240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9747, kappa: 0.9718, kb_relative_information_score: 1614.8984, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9748, predictive_accuracy: 0.9746, prior_entropy: 3.3218, recall: 0.9746, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.347, scimark_benchmark: 1347.5461, usercpu_time_millis: 19470, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 18560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 922.1419, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9676, kappa: 0.964, kb_relative_information_score: 1777.4011, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.968, predictive_accuracy: 0.9676, prior_entropy: 3.3218, recall: 0.9676, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.2347, scimark_benchmark: 1368.9272, usercpu_time_millis: 63910, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 63840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9736, kappa: 0.9706, kb_relative_information_score: 1616.8676, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 3.3218, recall: 0.9736, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.3469, scimark_benchmark: 1331.2332, usercpu_time_millis: 14140, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 13690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 1330.2021, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9373, kappa: 0.9305, kb_relative_information_score: 1661.452, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 3.3218, recall: 0.9374, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3507, scimark_benchmark: 1322.4968, usercpu_time_millis: 1810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9551, kappa: 0.9502, kb_relative_information_score: 1767.174, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9562, predictive_accuracy: 0.9552, prior_entropy: 3.3218, recall: 0.9552, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3154, scimark_benchmark: 1330.6247, usercpu_time_millis: 1370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.781, kappa: 0.7687, kb_relative_information_score: 149.2784, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8213, predictive_accuracy: 0.7918, prior_entropy: 3.3218, recall: 0.7918, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9771, scimark_benchmark: 937.5996, usercpu_time_millis: 390, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8602, kappa: 0.8447, kb_relative_information_score: 1583.101, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8608, predictive_accuracy: 0.8603, prior_entropy: 3.3218, recall: 0.8603, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5572, scimark_benchmark: 1316.8289, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9736, kappa: 0.9706, kb_relative_information_score: 1802.8131, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9739, predictive_accuracy: 0.9736, prior_entropy: 3.3218, recall: 0.9736, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2414, scimark_benchmark: 1305.7138, usercpu_time_millis: 9830, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 7310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 1794.1976, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3218, recall: 0.9671, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.2352, scimark_benchmark: 1311.9814, usercpu_time_millis: 35730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 35720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9633, kappa: 0.9592, kb_relative_information_score: 1775.9007, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9635, predictive_accuracy: 0.9633, prior_entropy: 3.3218, recall: 0.9633, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2541, scimark_benchmark: 1270.2428, usercpu_time_millis: 20140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8248, kappa: 0.7649, kb_relative_information_score: 1443.5675, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9309, predictive_accuracy: 0.7886, prior_entropy: 3.3218, recall: 0.7886, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6855, scimark_benchmark: 1292.1375, usercpu_time_millis: 65660, usercpu_time_millis_testing: 36490, usercpu_time_millis_training: 29170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9681, kappa: 0.9646, kb_relative_information_score: 1796.8136, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 3.3218, recall: 0.9682, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419, scimark_benchmark: 1144.961, usercpu_time_millis: 720, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8583, kappa: 0.843, kb_relative_information_score: 1576.3454, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8591, predictive_accuracy: 0.8587, prior_entropy: 3.3218, recall: 0.8587, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5408, scimark_benchmark: 1320.4802, usercpu_time_millis: 1050, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.7652, kappa: 0.7417, kb_relative_information_score: 1403.6477, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7661, predictive_accuracy: 0.7675, prior_entropy: 3.3218, recall: 0.7675, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659, scimark_benchmark: 922.1419, usercpu_time_millis: 400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9184, kappa: 0.9089, kb_relative_information_score: 1704.4114, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 3.3218, recall: 0.918, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.407, scimark_benchmark: 1297.6356, usercpu_time_millis: 1220, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.5228, kappa: 0.5419, kb_relative_information_score: 830.7817, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.5646, predictive_accuracy: 0.5874, prior_entropy: 3.3218, recall: 0.5874, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.8062, scimark_benchmark: 1334.9657, usercpu_time_millis: 800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9407, kappa: 0.9341, kb_relative_information_score: 1738.7657, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9412, predictive_accuracy: 0.9407, prior_entropy: 3.3218, recall: 0.9407, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.3614, scimark_benchmark: 1333.5799, usercpu_time_millis: 75260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 75190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 1822.9043, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.183, scimark_benchmark: 1348.8402, usercpu_time_millis: 8340, usercpu_time_millis_testing: 8340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 1824.7911, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1832, scimark_benchmark: 1367.8403, usercpu_time_millis: 50790, usercpu_time_millis_testing: 50790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9568, kappa: 0.952, kb_relative_information_score: 1770.4596, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 3.3218, recall: 0.9569, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3097, scimark_benchmark: 1334.8272, usercpu_time_millis: 54720, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 54480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.5929, kappa: 0.5569, kb_relative_information_score: 763.3706, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.6108, predictive_accuracy: 0.6009, prior_entropy: 3.3218, recall: 0.6009, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.8095, scimark_benchmark: 1348.8402, usercpu_time_millis: 8290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.879, kappa: 0.8645, kb_relative_information_score: 1594.3652, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.883, predictive_accuracy: 0.8781, prior_entropy: 3.3218, recall: 0.8781, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4967, scimark_benchmark: 1331.482, usercpu_time_millis: 7280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7951, kappa: 0.774, kb_relative_information_score: 1379.511, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.7977, predictive_accuracy: 0.7967, prior_entropy: 3.3218, recall: 0.7967, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5745, scimark_benchmark: 1351.3295, usercpu_time_millis: 12450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9601, kappa: 0.9556, kb_relative_information_score: 1751.5578, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 3.3218, recall: 0.9601, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2931, scimark_benchmark: 1338.9143, usercpu_time_millis: 41340, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 41200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9601, kappa: 0.9556, kb_relative_information_score: 1751.5578, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 3.3218, recall: 0.9601, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2931, scimark_benchmark: 1366.0221, usercpu_time_millis: 40640, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 40480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9508, kappa: 0.9455, kb_relative_information_score: 1739.3875, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 3.3218, recall: 0.9509, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2906, scimark_benchmark: 1276.5165, usercpu_time_millis: 9290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9482, kappa: 0.9425, kb_relative_information_score: 1661.4839, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9484, predictive_accuracy: 0.9482, prior_entropy: 3.3218, recall: 0.9482, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.3387, scimark_benchmark: 1341.8761, usercpu_time_millis: 23600, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 23310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9465, kappa: 0.9407, kb_relative_information_score: 1660.846, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9469, predictive_accuracy: 0.9466, prior_entropy: 3.3218, recall: 0.9466, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.3402, scimark_benchmark: 1276.5165, usercpu_time_millis: 15580, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 15450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.946, kappa: 0.9401, kb_relative_information_score: 1662.3779, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9464, predictive_accuracy: 0.9461, prior_entropy: 3.3218, recall: 0.9461, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3396, scimark_benchmark: 1326.6647, usercpu_time_millis: 7140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9184, kappa: 0.9089, kb_relative_information_score: 1704.444, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 3.3218, recall: 0.918, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.407, scimark_benchmark: 1332.4146, usercpu_time_millis: 1150, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0174, kb_relative_information_score: 5.2182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.0095, predictive_accuracy: 0.0976, prior_entropy: 3.3218, recall: 0.0976, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 75.878, build_memory: 182619488, f_measure: 0.9768, kappa: 0.9742, kb_relative_information_score: 1809.0711, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 3.3218, recall: 0.9768, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2267, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 67.06, build_memory: 1318259224, f_measure: 0.9768, kappa: 0.9742, kb_relative_information_score: 1809.0711, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 3.3218, recall: 0.9768, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2267, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 42.628, build_memory: 324835000, f_measure: 0.9773, kappa: 0.9748, kb_relative_information_score: 1810.0365, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 3.3218, recall: 0.9773, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2241, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, build_cpu_time: 16.398, build_memory: 656973312, f_measure: 0.9779, kappa: 0.9754, kb_relative_information_score: 1810.9542, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 3.3218, recall: 0.9779, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.2214, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 7.915, build_memory: 1654776208, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1816.3277, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3218, recall: 0.98, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.2064, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 1.934, build_memory: 48328072, f_measure: 0.9629, kappa: 0.9586, kb_relative_information_score: 1785.0078, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9633, predictive_accuracy: 0.9628, prior_entropy: 3.3218, recall: 0.9628, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2566, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 3.86, build_memory: 353759704, f_measure: 0.9774, kappa: 0.9748, kb_relative_information_score: 1811.7547, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9776, predictive_accuracy: 0.9773, prior_entropy: 3.3218, recall: 0.9773, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.2071, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 7.268, build_memory: 1346565864, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 1819.9075, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9819, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1903, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 13.92, build_memory: 130892424, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 1825.0507, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9851, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1778, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, build_cpu_time: 29.82, build_memory: 78283600, f_measure: 0.987, kappa: 0.9856, kb_relative_information_score: 1829.8644, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 3.3218, recall: 0.9871, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1657, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.042, build_memory: 88214408, f_measure: 0.8484, kappa: 0.831, kb_relative_information_score: 1559.1689, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8501, predictive_accuracy: 0.8479, prior_entropy: 3.3218, recall: 0.8479, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.078, build_memory: 2843529984, f_measure: 0.8484, kappa: 0.831, kb_relative_information_score: 1559.1689, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8501, predictive_accuracy: 0.8479, prior_entropy: 3.3218, recall: 0.8479, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.052, build_memory: 2943601888, f_measure: 0.8484, kappa: 0.831, kb_relative_information_score: 1559.1689, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8501, predictive_accuracy: 0.8479, prior_entropy: 3.3218, recall: 0.8479, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.07, build_memory: 1286153152, f_measure: 0.8484, kappa: 0.831, kb_relative_information_score: 1559.1689, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8501, predictive_accuracy: 0.8479, prior_entropy: 3.3218, recall: 0.8479, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.065, build_memory: 441348664, f_measure: 0.8484, kappa: 0.831, kb_relative_information_score: 1559.1689, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.8501, predictive_accuracy: 0.8479, prior_entropy: 3.3218, recall: 0.8479, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 2.781, build_memory: 1410347616, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1665.475, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3061, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 2.913, build_memory: 1484899984, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1665.475, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3061, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 2.866, build_memory: 630374488, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1665.475, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3061, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 2.678, build_memory: 324196000, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1665.475, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3061, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 2.981, build_memory: 1464642168, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 1665.475, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3061, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, build_cpu_time: 0.073, build_memory: 784630528, f_measure: 0.1847, kappa: 0.1469, kb_relative_information_score: 363.8093, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.1888, predictive_accuracy: 0.2314, prior_entropy: 3.3218, recall: 0.2314, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.3069, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, build_cpu_time: 0.072, build_memory: 1167408744, f_measure: 0.1847, kappa: 0.1469, kb_relative_information_score: 363.8093, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.1888, predictive_accuracy: 0.2314, prior_entropy: 3.3218, recall: 0.2314, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.3069, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, build_cpu_time: 0.046, build_memory: 1401855152, f_measure: 0.1847, kappa: 0.1469, kb_relative_information_score: 363.8093, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.1888, predictive_accuracy: 0.2314, prior_entropy: 3.3218, recall: 0.2314, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.3069, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, build_cpu_time: 0.046, build_memory: 638861752, f_measure: 0.1847, kappa: 0.1469, kb_relative_information_score: 363.8093, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.1888, predictive_accuracy: 0.2314, prior_entropy: 3.3218, recall: 0.2314, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.3069, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, build_cpu_time: 0.044, build_memory: 1257629136, f_measure: 0.1847, kappa: 0.1469, kb_relative_information_score: 363.8093, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.1888, predictive_accuracy: 0.2314, prior_entropy: 3.3218, recall: 0.2314, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.3069, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 4.903, build_memory: 1147769800, f_measure: 0.9184, kappa: 0.9089, kb_relative_information_score: 1611.0686, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 3.3218, recall: 0.918, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 5.099, build_memory: 1418979112, f_measure: 0.9184, kappa: 0.9089, kb_relative_information_score: 1611.0686, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 3.3218, recall: 0.918, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 5.43, build_memory: 312894096, f_measure: 0.9184, kappa: 0.9089, kb_relative_information_score: 1611.0686, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 3.3218, recall: 0.918, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 5.482, build_memory: 1179316552, f_measure: 0.9184, kappa: 0.9089, kb_relative_information_score: 1611.0686, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 1854, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 3.3218, recall: 0.918, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809, scimark_benchmark: 943.5504,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs