Task
Supervised Classification on hiva_agnostic

Supervised Classification on hiva_agnostic

Task 4597 Supervised Classification hiva_agnostic 117 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.95, kappa: 0.071, kb_relative_information_score: -252724.8152, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9484, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 2.0471, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2041, root_relative_squared_error: 1.1072, scimark_benchmark: 972.587, usercpu_time_millis: 51900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 51890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.9567, kappa: 0.2505, kb_relative_information_score: -20185.598, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9543, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9454, scimark_benchmark: 934.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.9596, kappa: 0.2963, kb_relative_information_score: -7574.1356, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9593, predictive_accuracy: 0.9676, prior_entropy: 0.221, recall: 0.9676, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.168, root_relative_squared_error: 0.9115, scimark_benchmark: 897.2862, usercpu_time_millis: 1852140, usercpu_time_millis_testing: 453800, usercpu_time_millis_training: 1398340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 942.2392, usercpu_time_millis: 13860, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 13710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.9595, kappa: 0.2924, kb_relative_information_score: -4783.7973, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9593, predictive_accuracy: 0.9676, prior_entropy: 0.221, recall: 0.9676, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.9064, scimark_benchmark: 833.4972, usercpu_time_millis: 16869860, usercpu_time_millis_testing: 4243480, usercpu_time_millis_training: 12626380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.95, kappa: 0.071, kb_relative_information_score: -252724.8152, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9484, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 2.0471, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2041, root_relative_squared_error: 1.1072, scimark_benchmark: 906.5979, usercpu_time_millis: 79980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 79960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.9567, kappa: 0.2505, kb_relative_information_score: -20185.598, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9543, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9454, scimark_benchmark: 936.2574, usercpu_time_millis: 113600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 113580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.9599, kappa: 0.3006, kb_relative_information_score: -5242.7813, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9597, predictive_accuracy: 0.9678, prior_entropy: 0.221, recall: 0.9678, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.9078, scimark_benchmark: 939.8002, usercpu_time_millis: 7740760, usercpu_time_millis_testing: 1826810, usercpu_time_millis_training: 5913950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.9598, kappa: 0.2972, kb_relative_information_score: -6423.0746, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9597, predictive_accuracy: 0.9678, prior_entropy: 0.221, recall: 0.9678, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.9101, scimark_benchmark: 919.2625, usercpu_time_millis: 3986300, usercpu_time_millis_testing: 977470, usercpu_time_millis_training: 3008830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.9596, kappa: 0.2976, kb_relative_information_score: -6233.3617, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9591, predictive_accuracy: 0.9675, prior_entropy: 0.221, recall: 0.9675, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.9204, scimark_benchmark: 921.466, usercpu_time_millis: 1003810, usercpu_time_millis_testing: 240180, usercpu_time_millis_training: 763630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.959, kappa: 0.3011, kb_relative_information_score: 684.2791, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.957, predictive_accuracy: 0.9659, prior_entropy: 0.221, recall: 0.9659, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.957, scimark_benchmark: 931.7994, usercpu_time_millis: 5120810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5120790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.9554, kappa: 0.2234, kb_relative_information_score: -23081.0369, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9524, predictive_accuracy: 0.9641, prior_entropy: 0.221, recall: 0.9641, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.9613, scimark_benchmark: 930.0565, usercpu_time_millis: 75980, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 75940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.9554, kappa: 0.2234, kb_relative_information_score: -23093.1732, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9524, predictive_accuracy: 0.9641, prior_entropy: 0.221, recall: 0.9641, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.9613, scimark_benchmark: 930.0565, usercpu_time_millis: 75930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 75900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.9548, kappa: 0.2087, kb_relative_information_score: -24441.3238, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9518, predictive_accuracy: 0.964, prior_entropy: 0.221, recall: 0.964, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.177, root_relative_squared_error: 0.9603, scimark_benchmark: 941.9549, usercpu_time_millis: 58360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 58320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.9532, kappa: 0.1612, kb_relative_information_score: -28254.2388, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9506, predictive_accuracy: 0.9643, prior_entropy: 0.221, recall: 0.9643, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.9583, scimark_benchmark: 936.1714, usercpu_time_millis: 27430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 27400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.9515, kappa: 0.1119, kb_relative_information_score: -29816.3972, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9497, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.9645, scimark_benchmark: 929.0296, usercpu_time_millis: 14850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.9511, kappa: 0.0984, kb_relative_information_score: -166697.7707, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9498, predictive_accuracy: 0.9646, prior_entropy: 0.221, recall: 0.9646, relative_absolute_error: 1.5619, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1914, root_relative_squared_error: 1.0379, scimark_benchmark: 941.9549, usercpu_time_millis: 4300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.9485, kappa: 0.0249, kb_relative_information_score: 9493.4382, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9539, predictive_accuracy: 0.965, prior_entropy: 0.221, recall: 0.965, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1864, root_relative_squared_error: 1.0109, scimark_benchmark: 926.5859, usercpu_time_millis: 222450, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 222410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.9483, kappa: 0.02, kb_relative_information_score: 9486.9455, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9537, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1866, root_relative_squared_error: 1.0119, scimark_benchmark: 938.3115, usercpu_time_millis: 115830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 115800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.948, kappa: 0.0126, kb_relative_information_score: 9391.5315, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9545, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1869, root_relative_squared_error: 1.0139, scimark_benchmark: 935.6052, usercpu_time_millis: 56150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 56130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.9477, kappa: 0.0063, kb_relative_information_score: 9317.8906, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9529, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1873, root_relative_squared_error: 1.0159, scimark_benchmark: 935.6052, usercpu_time_millis: 28660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 28640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.9475, kappa: 0.0023, kb_relative_information_score: 9201.6219, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9409, predictive_accuracy: 0.9647, prior_entropy: 0.221, recall: 0.9647, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 935.6052, usercpu_time_millis: 14690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9475, kb_relative_information_score: 9261.2846, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 941.9549, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.9565, kappa: 0.2557, kb_relative_information_score: 159.8704, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9535, predictive_accuracy: 0.9641, prior_entropy: 0.221, recall: 0.9641, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1845, root_relative_squared_error: 1.0005, scimark_benchmark: 938.3115, usercpu_time_millis: 61880, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 61820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.9556, kappa: 0.2758, kb_relative_information_score: -8369.0348, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9523, predictive_accuracy: 0.9607, prior_entropy: 0.221, recall: 0.9607, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1924, root_relative_squared_error: 1.0436, scimark_benchmark: 896.741, usercpu_time_millis: 17678600, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 17677270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.9475, kb_relative_information_score: -18380.6829, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.9701, scimark_benchmark: 931.7994, usercpu_time_millis: 1120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 907.1091, usercpu_time_millis: 15000, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 14810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.95, kappa: 0.071, kb_relative_information_score: -252724.8152, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9484, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 2.0471, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2041, root_relative_squared_error: 1.1072, scimark_benchmark: 926.4745, usercpu_time_millis: 75080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 75060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.9497, kappa: 0.268, kb_relative_information_score: -11444.7787, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9502, predictive_accuracy: 0.9492, prior_entropy: 0.221, recall: 0.9492, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.1923, scimark_benchmark: 933.0918, usercpu_time_millis: 150430, usercpu_time_millis_testing: 74590, usercpu_time_millis_training: 75840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.9567, kappa: 0.2505, kb_relative_information_score: -20185.598, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9543, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9454, scimark_benchmark: 930.0565, usercpu_time_millis: 117810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 117790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 901.8743, usercpu_time_millis: 14870, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 14710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 1353.0836, usercpu_time_millis: 8860, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 8740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 1315.9287, usercpu_time_millis: 8440, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 8280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.9567, kappa: 0.2505, kb_relative_information_score: -20185.598, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9543, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9454, scimark_benchmark: 1317.7919, usercpu_time_millis: 79360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 79340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9475, kb_relative_information_score: 9261.2846, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0181, scimark_benchmark: 1322.7383, usercpu_time_millis: 47810, usercpu_time_millis_testing: 22270, usercpu_time_millis_training: 25540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9551, kappa: 0.196, kb_relative_information_score: 1328.9445, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9544, predictive_accuracy: 0.9657, prior_entropy: 0.221, recall: 0.9657, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.973, scimark_benchmark: 986.8456, usercpu_time_millis: 8570, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 8430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.8889, kappa: 0.1424, kb_relative_information_score: -104671.9583, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9496, predictive_accuracy: 0.8451, prior_entropy: 0.221, recall: 0.8451, relative_absolute_error: 2.2713, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.3905, root_relative_squared_error: 2.118, scimark_benchmark: 889.3151, usercpu_time_millis: 6110, usercpu_time_millis_testing: 4340, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.8889, kappa: 0.1424, kb_relative_information_score: -104671.8889, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9496, predictive_accuracy: 0.8451, prior_entropy: 0.221, recall: 0.8451, relative_absolute_error: 2.2713, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.3905, root_relative_squared_error: 2.118, scimark_benchmark: 922.1419, usercpu_time_millis: 5630, usercpu_time_millis_testing: 4300, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.9468, kappa: 0.2608, kb_relative_information_score: -10105.2627, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.95, predictive_accuracy: 0.944, prior_entropy: 0.221, recall: 0.944, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2367, root_relative_squared_error: 1.2837, scimark_benchmark: 1326.014, usercpu_time_millis: 12940, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 12830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.9154, kappa: 0.1465, kb_relative_information_score: -61878.8481, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9453, predictive_accuracy: 0.8915, prior_entropy: 0.221, recall: 0.8915, relative_absolute_error: 1.5875, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.324, root_relative_squared_error: 1.7573, scimark_benchmark: 1315.395, usercpu_time_millis: 29750, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 29660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.9475, kb_relative_information_score: -182.2773, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9308, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1844, root_relative_squared_error: 1, scimark_benchmark: 1419.2433, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.9488, kappa: 0.0387, kb_relative_information_score: -10440.6149, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9464, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.9299, scimark_benchmark: 1321.76, usercpu_time_millis: 228020, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 227160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.9533, kappa: 0.1433, kb_relative_information_score: -17815.8646, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9551, predictive_accuracy: 0.9659, prior_entropy: 0.221, recall: 0.9659, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.9089, scimark_benchmark: 1337.8431, usercpu_time_millis: 346890, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 346800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.9592, kappa: 0.2796, kb_relative_information_score: 7861.4169, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9603, predictive_accuracy: 0.968, prior_entropy: 0.221, recall: 0.968, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.9505, scimark_benchmark: 1373.2982, usercpu_time_millis: 85490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 85450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.95, kappa: 0.071, kb_relative_information_score: -252724.8152, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9484, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 2.0471, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2041, root_relative_squared_error: 1.1072, scimark_benchmark: 1341.7207, usercpu_time_millis: 31300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 31280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.9587, kappa: 0.2788, kb_relative_information_score: -21856.8384, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.958, predictive_accuracy: 0.967, prior_entropy: 0.221, recall: 0.967, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.9263, scimark_benchmark: 1338.01, usercpu_time_millis: 35120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 35110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.9543, kappa: 0.1686, kb_relative_information_score: -22149.5523, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9558, predictive_accuracy: 0.9661, prior_entropy: 0.221, recall: 0.9661, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.9234, scimark_benchmark: 1314.5178, usercpu_time_millis: 60680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.9475, kappa: 0.0011, kb_relative_information_score: -678965.6946, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9378, predictive_accuracy: 0.9647, prior_entropy: 0.221, recall: 0.9647, relative_absolute_error: 7.332, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.4999, root_relative_squared_error: 2.7117, scimark_benchmark: 916.6405, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.9474, kappa: 0.0019, kb_relative_information_score: -5992.1422, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.935, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.9946, scimark_benchmark: 825.5282, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.9499, kappa: 0.0635, kb_relative_information_score: -11019.9892, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9504, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.9307, scimark_benchmark: 1330.0694, usercpu_time_millis: 52960, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 52550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.9534, kappa: 0.1485, kb_relative_information_score: -19607.6573, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9547, predictive_accuracy: 0.9658, prior_entropy: 0.221, recall: 0.9658, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.168, root_relative_squared_error: 0.911, scimark_benchmark: 1384.4418, usercpu_time_millis: 235280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 235220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.9559, kappa: 0.2122, kb_relative_information_score: -22919.9037, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9555, predictive_accuracy: 0.966, prior_entropy: 0.221, recall: 0.966, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9364, scimark_benchmark: 1369.9744, usercpu_time_millis: 19280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 19260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.9543, kappa: 0.165, kb_relative_information_score: -21707.7294, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9565, predictive_accuracy: 0.9663, prior_entropy: 0.221, recall: 0.9663, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.9157, scimark_benchmark: 889.3151, usercpu_time_millis: 225480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 225440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.9545, kappa: 0.1899, kb_relative_information_score: -1785.9452, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9524, predictive_accuracy: 0.9647, prior_entropy: 0.221, recall: 0.9647, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.9809, scimark_benchmark: 939.5205, usercpu_time_millis: 32900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 32880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.951, kappa: 0.0878, kb_relative_information_score: -17790.303, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9534, predictive_accuracy: 0.9653, prior_entropy: 0.221, recall: 0.9653, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9351, scimark_benchmark: 918.0213, usercpu_time_millis: 229260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 229210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9495, kappa: 0.0526, kb_relative_information_score: -20874.8079, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9509, predictive_accuracy: 0.9649, prior_entropy: 0.221, recall: 0.9649, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.174, root_relative_squared_error: 0.9438, scimark_benchmark: 930.5999, usercpu_time_millis: 114570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 114540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.9489, kappa: 0.0374, kb_relative_information_score: -23203.9944, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9496, predictive_accuracy: 0.9648, prior_entropy: 0.221, recall: 0.9648, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.9542, scimark_benchmark: 1363.454, usercpu_time_millis: 32750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 32730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.9479, kappa: 0.012, kb_relative_information_score: -26399.5544, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9445, predictive_accuracy: 0.9646, prior_entropy: 0.221, recall: 0.9646, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.178, root_relative_squared_error: 0.9653, scimark_benchmark: 915.6729, usercpu_time_millis: 31710, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 31650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.9474, kappa: 0.0019, kb_relative_information_score: -29187.3535, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.935, predictive_accuracy: 0.9645, prior_entropy: 0.221, recall: 0.9645, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.9785, scimark_benchmark: 915.9324, usercpu_time_millis: 14150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.9587, kappa: 0.2836, kb_relative_information_score: -27385.2753, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9575, predictive_accuracy: 0.9666, prior_entropy: 0.221, recall: 0.9666, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.9415, scimark_benchmark: 1324.8395, usercpu_time_millis: 296750, usercpu_time_millis_testing: 296740, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.9596, kappa: 0.3288, kb_relative_information_score: -15469.7143, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9571, predictive_accuracy: 0.9651, prior_entropy: 0.221, recall: 0.9651, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.9699, scimark_benchmark: 940.3347, usercpu_time_millis: 324800, usercpu_time_millis_testing: 324800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.9569, kappa: 0.2214, kb_relative_information_score: 11905.1818, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9602, predictive_accuracy: 0.9676, prior_entropy: 0.221, recall: 0.9676, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.18, root_relative_squared_error: 0.9762, scimark_benchmark: 1335.643, usercpu_time_millis: 228620, usercpu_time_millis_testing: 68410, usercpu_time_millis_training: 160210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.9482, kappa: 0.0578, kb_relative_information_score: 6198.7703, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.94, predictive_accuracy: 0.9615, prior_entropy: 0.221, recall: 0.9615, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1963, root_relative_squared_error: 1.0645, scimark_benchmark: 1304.9611, usercpu_time_millis: 20960, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.9462, kappa: 0.2656, kb_relative_information_score: -11515.3412, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.0682, number_of_instances: 42290, precision: 0.9504, predictive_accuracy: 0.9425, prior_entropy: 0.221, recall: 0.9425, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.301, scimark_benchmark: 889.3151, usercpu_time_millis: 51800, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 51560,

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