Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32333 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9377, kappa: 0.8461, kb_relative_information_score: 26113.6321, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4747, scimark_benchmark: 1738.0359, usercpu_time_millis: 2983.605, usercpu_time_millis_testing: 14.082, usercpu_time_millis_training: 2969.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29447.2263, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3625, scimark_benchmark: 1726.6494, usercpu_time_millis: 2719.576, usercpu_time_millis_testing: 10.932, usercpu_time_millis_training: 2708.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9422, kappa: 0.8575, kb_relative_information_score: 26266.3904, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4665, scimark_benchmark: 1725.7822, usercpu_time_millis: 1948.947, usercpu_time_millis_testing: 9.614, usercpu_time_millis_training: 1939.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9534, kappa: 0.8857, kb_relative_information_score: 27673.3604, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4235, scimark_benchmark: 1728.3554, usercpu_time_millis: 988.395, usercpu_time_millis_testing: 5.429, usercpu_time_millis_training: 982.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9179, kappa: 0.7936, kb_relative_information_score: 24398.5274, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5181, scimark_benchmark: 1737.5469, usercpu_time_millis: 874.635, usercpu_time_millis_testing: 10.848, usercpu_time_millis_training: 863.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9324, kappa: 0.8319, kb_relative_information_score: 25208.4067, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4998, scimark_benchmark: 1740.8253, usercpu_time_millis: 751.971, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 747.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9117, kappa: 0.7802, kb_relative_information_score: 21217.8807, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9123, predictive_accuracy: 0.9133, prior_entropy: 0.863, recall: 0.9133, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5663, scimark_benchmark: 1718.2275, usercpu_time_millis: 645.385, usercpu_time_millis_testing: 11.077, usercpu_time_millis_training: 634.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29610.5261, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3573, scimark_benchmark: 1738.9185, usercpu_time_millis: 226.032, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 224.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.956, kappa: 0.8921, kb_relative_information_score: 27856.5796, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4106, scimark_benchmark: 1880.265, usercpu_time_millis: 204.167, usercpu_time_millis_testing: 2.807, usercpu_time_millis_training: 201.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8583, kappa: 0.6549, kb_relative_information_score: 15619.6033, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8594, predictive_accuracy: 0.8576, prior_entropy: 0.863, recall: 0.8576, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7407, scimark_benchmark: 1736.534, usercpu_time_millis: 120.833, usercpu_time_millis_testing: 3.734, usercpu_time_millis_training: 117.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9559, kappa: 0.8916, kb_relative_information_score: 28037.2125, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.409, scimark_benchmark: 1734.693, usercpu_time_millis: 119.879, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 118.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8802, kappa: 0.704, kb_relative_information_score: 14928.173, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8797, predictive_accuracy: 0.8813, prior_entropy: 0.863, recall: 0.8813, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.688, scimark_benchmark: 1727.5668, usercpu_time_millis: 118.48, usercpu_time_millis_testing: 6.407, usercpu_time_millis_training: 112.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.3457, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1739.8589, usercpu_time_millis: 76.894, usercpu_time_millis_testing: 6.904, usercpu_time_millis_training: 69.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8654, kappa: 0.6713, kb_relative_information_score: 16965.4777, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8659, predictive_accuracy: 0.8649, prior_entropy: 0.863, recall: 0.8649, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6891, scimark_benchmark: 1743.0845, usercpu_time_millis: 35.515, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 34.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9536, kappa: 0.8862, kb_relative_information_score: 27759.5583, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4212, scimark_benchmark: 1724.8307, usercpu_time_millis: 3220.942, usercpu_time_millis_testing: 12.08, usercpu_time_millis_training: 3208.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9534, kappa: 0.8856, kb_relative_information_score: 27751.6984, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.422, scimark_benchmark: 1732.5611, usercpu_time_millis: 2707.891, usercpu_time_millis_testing: 9.823, usercpu_time_millis_training: 2698.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28696.2134, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3941, scimark_benchmark: 1727.044, usercpu_time_millis: 1988.607, usercpu_time_millis_testing: 6.483, usercpu_time_millis_training: 1982.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29777.8719, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1723.4592, usercpu_time_millis: 1822.179, usercpu_time_millis_testing: 7.844, usercpu_time_millis_training: 1814.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9349, kappa: 0.8385, kb_relative_information_score: 25350.9669, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4916, scimark_benchmark: 1716.0319, usercpu_time_millis: 1778.231, usercpu_time_millis_testing: 12.336, usercpu_time_millis_training: 1765.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29410.7936, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.366, scimark_benchmark: 1733.3606, usercpu_time_millis: 1757.442, usercpu_time_millis_testing: 6.758, usercpu_time_millis_training: 1750.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.935, kappa: 0.8387, kb_relative_information_score: 25343.0146, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4912, scimark_benchmark: 1729.728, usercpu_time_millis: 1189.436, usercpu_time_millis_testing: 10.26, usercpu_time_millis_training: 1179.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 27560.239, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4237, scimark_benchmark: 1733.3606, usercpu_time_millis: 748.9, usercpu_time_millis_testing: 6.08, usercpu_time_millis_training: 742.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8686, kappa: 0.6798, kb_relative_information_score: 17400.8554, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8695, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.675, scimark_benchmark: 1727.044, usercpu_time_millis: 704.461, usercpu_time_millis_testing: 7.385, usercpu_time_millis_training: 697.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9171, kappa: 0.7914, kb_relative_information_score: 24182.9832, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.92, prior_entropy: 0.863, recall: 0.92, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5193, scimark_benchmark: 1709.9032, usercpu_time_millis: 560.999, usercpu_time_millis_testing: 3.465, usercpu_time_millis_training: 557.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9589, kappa: 0.8993, kb_relative_information_score: 28522.5872, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3977, scimark_benchmark: 1730.591, usercpu_time_millis: 500.029, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 498.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8683, kappa: 0.679, kb_relative_information_score: 17555.9549, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6745, scimark_benchmark: 1714.3459, usercpu_time_millis: 440.205, usercpu_time_millis_testing: 10.752, usercpu_time_millis_training: 429.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9331, kappa: 0.834, kb_relative_information_score: 25158.5749, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4942, scimark_benchmark: 1731.5618, usercpu_time_millis: 377.967, usercpu_time_millis_testing: 2.499, usercpu_time_millis_training: 375.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.92, kappa: 0.7992, kb_relative_information_score: 23331.7159, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5208, scimark_benchmark: 1733.7613, usercpu_time_millis: 304.622, usercpu_time_millis_testing: 5.496, usercpu_time_millis_training: 299.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 29612.7478, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3533, scimark_benchmark: 1725.3475, usercpu_time_millis: 303.321, usercpu_time_millis_testing: 2.692, usercpu_time_millis_training: 300.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.92, kappa: 0.7992, kb_relative_information_score: 24608.0485, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5142, scimark_benchmark: 1720.3601, usercpu_time_millis: 266.448, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 265.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9379, kappa: 0.8463, kb_relative_information_score: 25823.7997, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4744, scimark_benchmark: 1734.7321, usercpu_time_millis: 226.666, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 224.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9619, kappa: 0.9066, kb_relative_information_score: 28888.8393, mean_absolute_error: 0.0697, 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: 0.1708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1730.591, usercpu_time_millis: 109.704, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 108.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8801, kappa: 0.6975, kb_relative_information_score: 12787.5287, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8855, predictive_accuracy: 0.8851, prior_entropy: 0.863, recall: 0.8851, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7278, scimark_benchmark: 1729.3908, usercpu_time_millis: 57.284, usercpu_time_millis_testing: 3.823, usercpu_time_millis_training: 53.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.1629, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 53.471, usercpu_time_millis_testing: 7.011, usercpu_time_millis_training: 46.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9338, kappa: 0.8359, kb_relative_information_score: 25625.1059, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4898, scimark_benchmark: 1719.1007, usercpu_time_millis: 5231.418, usercpu_time_millis_testing: 14.704, usercpu_time_millis_training: 5216.714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 2.7708, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1799.4875, usercpu_time_millis: 20.706, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 19.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29181.0371, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3715, scimark_benchmark: 1748.9362, usercpu_time_millis: 2090.999, usercpu_time_millis_testing: 10.289, usercpu_time_millis_training: 2080.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9276, kappa: 0.8193, kb_relative_information_score: 25007.3811, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9293, prior_entropy: 0.863, recall: 0.9293, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5071, scimark_benchmark: 1836.0792, usercpu_time_millis: 1426.811, usercpu_time_millis_testing: 7.576, usercpu_time_millis_training: 1419.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29245.1488, mean_absolute_error: 0.0659, 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: 0.1616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1817.5042, usercpu_time_millis: 1070.806, usercpu_time_millis_testing: 8.539, usercpu_time_millis_training: 1062.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9366, kappa: 0.8431, kb_relative_information_score: 25929.9245, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4751, scimark_benchmark: 1830.7862, usercpu_time_millis: 1066.755, usercpu_time_millis_testing: 6.895, usercpu_time_millis_training: 1059.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 28948.1932, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1817.8924, usercpu_time_millis: 784.933, usercpu_time_millis_testing: 9.389, usercpu_time_millis_training: 775.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 29016.9395, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.374, scimark_benchmark: 1754.8869, usercpu_time_millis: 667.903, usercpu_time_millis_testing: 7.399, usercpu_time_millis_training: 660.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9335, kappa: 0.8346, kb_relative_information_score: 24309.3108, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4967, scimark_benchmark: 1726.5817, usercpu_time_millis: 551.146, usercpu_time_millis_testing: 13.323, usercpu_time_millis_training: 537.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.956, kappa: 0.892, kb_relative_information_score: 28002.6812, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105, scimark_benchmark: 1769.5256, usercpu_time_millis: 429.085, usercpu_time_millis_testing: 3.686, usercpu_time_millis_training: 425.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9554, kappa: 0.8902, kb_relative_information_score: 27083.493, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179, scimark_benchmark: 1728.767, usercpu_time_millis: 392.443, usercpu_time_millis_testing: 13.137, usercpu_time_millis_training: 379.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29485.2813, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3509, scimark_benchmark: 1822.3762, usercpu_time_millis: 264.544, usercpu_time_millis_testing: 5.178, usercpu_time_millis_training: 259.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9332, kappa: 0.8347, kb_relative_information_score: 25877.118, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487, scimark_benchmark: 1817.2412, usercpu_time_millis: 249.199, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 248.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9167, kappa: 0.7904, kb_relative_information_score: 24368.6251, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5235, scimark_benchmark: 1821.7903, usercpu_time_millis: 62.751, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 62.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.2928, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1818.9456, usercpu_time_millis: 40.636, usercpu_time_millis_testing: 3.344, usercpu_time_millis_training: 37.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8587, kappa: 0.6528, kb_relative_information_score: 15383.3318, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.8591, prior_entropy: 0.863, recall: 0.8591, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7342, scimark_benchmark: 1816.7102, usercpu_time_millis: 39.285, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 38.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.1648, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1828.686, usercpu_time_millis: 16.587, usercpu_time_millis_testing: 2.267, usercpu_time_millis_training: 14.32,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9466, kappa: 0.8688, kb_relative_information_score: 27042.3396, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4471, scimark_benchmark: 1734.2699, usercpu_time_millis: 4600.891, usercpu_time_millis_testing: 13.415, usercpu_time_millis_training: 4587.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 27909.1307, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4134, scimark_benchmark: 1773.3826, usercpu_time_millis: 1976.237, usercpu_time_millis_testing: 15.229, usercpu_time_millis_training: 1961.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28851.2968, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1730.1287, usercpu_time_millis: 1689.267, usercpu_time_millis_testing: 7.191, usercpu_time_millis_training: 1682.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.95, kappa: 0.8774, kb_relative_information_score: 27249.1977, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4361, scimark_benchmark: 1779.9334, usercpu_time_millis: 1127.766, usercpu_time_millis_testing: 6.774, usercpu_time_millis_training: 1120.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29718.9491, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3556, scimark_benchmark: 1015.6886, usercpu_time_millis: 958.696, usercpu_time_millis_testing: 4.428, usercpu_time_millis_training: 954.268,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28638.2432, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3937, scimark_benchmark: 1736.9418, usercpu_time_millis: 584.509, usercpu_time_millis_testing: 2.595, usercpu_time_millis_training: 581.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9343, kappa: 0.8365, kb_relative_information_score: 21386.4732, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5412, scimark_benchmark: 1737.8438, usercpu_time_millis: 164.081, usercpu_time_millis_testing: 8.51, usercpu_time_millis_training: 155.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8673, kappa: 0.6779, kb_relative_information_score: 17537.9856, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.8661, prior_entropy: 0.863, recall: 0.8661, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6826, scimark_benchmark: 1769.1515, usercpu_time_millis: 161.672, usercpu_time_millis_testing: 2.149, usercpu_time_millis_training: 159.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.907, kappa: 0.7657, kb_relative_information_score: 14830.2406, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9124, predictive_accuracy: 0.9105, prior_entropy: 0.863, recall: 0.9105, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6795, scimark_benchmark: 1012.8939, usercpu_time_millis: 123.514, usercpu_time_millis_testing: 8.318, usercpu_time_millis_training: 115.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9004, kappa: 0.7482, kb_relative_information_score: 14955.1487, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9082, predictive_accuracy: 0.9048, prior_entropy: 0.863, recall: 0.9048, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6778, scimark_benchmark: 1774.2479, usercpu_time_millis: 96.248, usercpu_time_millis_testing: 9.407, usercpu_time_millis_training: 86.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.7134, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1724.795, usercpu_time_millis: 58.11, usercpu_time_millis_testing: 5.796, usercpu_time_millis_training: 52.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.2017, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1726.1469, usercpu_time_millis: 27.413, usercpu_time_millis_testing: 3.212, usercpu_time_millis_training: 24.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.4645, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1095.3658, usercpu_time_millis: 7.525, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 6.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.858, kappa: 0.6509, kb_relative_information_score: 14809.5611, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7252, scimark_benchmark: 1782.2017, usercpu_time_millis: 4.512, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 4.182,

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