Task
Supervised Classification on letter

Supervised Classification on letter

Task 1770 Supervised Classification letter 189 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7536, kappa: 0.7434, kb_relative_information_score: 77086.8615, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.7548, predictive_accuracy: 0.7533, prior_entropy: 4.6998, recall: 0.7533, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.6438, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.4931, kappa: 0.49, kb_relative_information_score: 50035.1076, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.5061, predictive_accuracy: 0.5096, prior_entropy: 4.6998, recall: 0.5096, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.8257, scimark_benchmark: 851.2074, usercpu_time_millis: 73150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 73030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 938.191, usercpu_time_millis: 700, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 938.191, usercpu_time_millis: 690, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8738, kappa: 0.8682, kb_relative_information_score: 85636.6336, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8756, predictive_accuracy: 0.8733, prior_entropy: 4.6998, recall: 0.8733, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4624, scimark_benchmark: 941.6675, usercpu_time_millis: 3630, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9476, kappa: 0.9454, kb_relative_information_score: 89761.9777, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9481, predictive_accuracy: 0.9475, prior_entropy: 4.6998, recall: 0.9475, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3766, scimark_benchmark: 931.771, usercpu_time_millis: 13760, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 11690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9618, kappa: 0.9602, kb_relative_information_score: 96124.0593, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 4.6998, recall: 0.9618, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.282, scimark_benchmark: 932.438, usercpu_time_millis: 110430, usercpu_time_millis_testing: 62290, usercpu_time_millis_training: 48140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 974.2014, usercpu_time_millis: 1040, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.83, kappa: 0.8228, kb_relative_information_score: 76212.1792, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8308, predictive_accuracy: 0.8296, prior_entropy: 4.6998, recall: 0.8296, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 938.5498, usercpu_time_millis: 178990, usercpu_time_millis_testing: 7420, usercpu_time_millis_training: 171570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9476, kappa: 0.9454, kb_relative_information_score: 89761.9777, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9481, predictive_accuracy: 0.9475, prior_entropy: 4.6998, recall: 0.9475, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3766, scimark_benchmark: 943.1009, usercpu_time_millis: 14810, usercpu_time_millis_testing: 1970, usercpu_time_millis_training: 12840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7536, kappa: 0.7434, kb_relative_information_score: 77086.8615, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.7548, predictive_accuracy: 0.7533, prior_entropy: 4.6998, recall: 0.7533, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.6438, scimark_benchmark: 819.5729, usercpu_time_millis: 650, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.4931, kappa: 0.49, kb_relative_information_score: 50035.1076, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.5061, predictive_accuracy: 0.5096, prior_entropy: 4.6998, recall: 0.5096, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.8257, scimark_benchmark: 936.2574, usercpu_time_millis: 55770, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 55680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9618, kappa: 0.9602, kb_relative_information_score: 96124.0593, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 4.6998, recall: 0.9618, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.282, scimark_benchmark: 935.5664, usercpu_time_millis: 109970, usercpu_time_millis_testing: 59480, usercpu_time_millis_training: 50490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 938.1282, usercpu_time_millis: 800, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 903.2737, usercpu_time_millis: 840, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 933.3455, usercpu_time_millis: 720, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8738, kappa: 0.8682, kb_relative_information_score: 85636.6336, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8756, predictive_accuracy: 0.8733, prior_entropy: 4.6998, recall: 0.8733, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4624, scimark_benchmark: 933.3455, usercpu_time_millis: 3630, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 932.438, usercpu_time_millis: 840, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9476, kappa: 0.9454, kb_relative_information_score: 89761.9777, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9481, predictive_accuracy: 0.9475, prior_entropy: 4.6998, recall: 0.9475, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3766, scimark_benchmark: 901.4991, usercpu_time_millis: 14950, usercpu_time_millis_testing: 2460, usercpu_time_millis_training: 12490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9594, kappa: 0.9577, kb_relative_information_score: 89514.9037, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9597, predictive_accuracy: 0.9593, prior_entropy: 4.6998, recall: 0.9593, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.3717, scimark_benchmark: 873.7533, usercpu_time_millis: 1590520, usercpu_time_millis_testing: 112070, usercpu_time_millis_training: 1478450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9571, kappa: 0.9554, kb_relative_information_score: 89465.8535, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9575, predictive_accuracy: 0.9571, prior_entropy: 4.6998, recall: 0.9571, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.374, scimark_benchmark: 943.2803, usercpu_time_millis: 348340, usercpu_time_millis_testing: 30650, usercpu_time_millis_training: 317690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9535, kappa: 0.9516, kb_relative_information_score: 89381.9589, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.954, predictive_accuracy: 0.9535, prior_entropy: 4.6998, recall: 0.9535, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3779, scimark_benchmark: 928.7131, usercpu_time_millis: 175280, usercpu_time_millis_testing: 10900, usercpu_time_millis_training: 164380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9452, kappa: 0.9429, kb_relative_information_score: 89149.9745, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9456, predictive_accuracy: 0.9451, prior_entropy: 4.6998, recall: 0.9451, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3871, scimark_benchmark: 932.4744, usercpu_time_millis: 62240, usercpu_time_millis_testing: 5350, usercpu_time_millis_training: 56890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9294, kappa: 0.9265, kb_relative_information_score: 88788.3741, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9299, predictive_accuracy: 0.9294, prior_entropy: 4.6998, recall: 0.9294, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.4029, scimark_benchmark: 894.7131, usercpu_time_millis: 37020, usercpu_time_millis_testing: 3430, usercpu_time_millis_training: 33590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.6738, kappa: 0.6607, kb_relative_information_score: 68202.5249, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.6756, predictive_accuracy: 0.6738, prior_entropy: 4.6998, recall: 0.6738, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.6848, scimark_benchmark: 941.9549, usercpu_time_millis: 16080, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 15110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.017, kappa: 0.0326, kb_relative_information_score: 12223.5815, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.0118, predictive_accuracy: 0.0706, prior_entropy: 4.6998, recall: 0.0706, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.017, kappa: 0.0326, kb_relative_information_score: 12223.5815, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.0118, predictive_accuracy: 0.0706, prior_entropy: 4.6998, recall: 0.0706, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 936.1714, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.017, kappa: 0.0326, kb_relative_information_score: 12223.5815, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.0118, predictive_accuracy: 0.0706, prior_entropy: 4.6998, recall: 0.0706, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 940.0055, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.017, kappa: 0.0326, kb_relative_information_score: 12223.5815, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.0118, predictive_accuracy: 0.0706, prior_entropy: 4.6998, recall: 0.0706, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.017, kappa: 0.0326, kb_relative_information_score: 12223.5815, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.0118, predictive_accuracy: 0.0706, prior_entropy: 4.6998, recall: 0.0706, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0032, kb_relative_information_score: 2843.3106, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.4126, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9249, kappa: 0.9217, kb_relative_information_score: 89110.793, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9256, predictive_accuracy: 0.9247, prior_entropy: 4.6998, recall: 0.9247, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.075, root_relative_squared_error: 0.3899, scimark_benchmark: 926.5859, usercpu_time_millis: 67450, usercpu_time_millis_testing: 11120, usercpu_time_millis_training: 56330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9082, kappa: 0.9043, kb_relative_information_score: 88362.1669, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9086, predictive_accuracy: 0.908, prior_entropy: 4.6998, recall: 0.908, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.079, root_relative_squared_error: 0.411, scimark_benchmark: 936.7184, usercpu_time_millis: 857410, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 855720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7536, kappa: 0.7434, kb_relative_information_score: 77086.8615, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.7548, predictive_accuracy: 0.7533, prior_entropy: 4.6998, recall: 0.7533, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.6438, scimark_benchmark: 935.6052, usercpu_time_millis: 430, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 320,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1317.5857, usercpu_time_millis: 660, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1350.7721, usercpu_time_millis: 530, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1327.3335, usercpu_time_millis: 640, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1317.5348, usercpu_time_millis: 560, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.83, kappa: 0.8228, kb_relative_information_score: 76212.1792, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8308, predictive_accuracy: 0.8296, prior_entropy: 4.6998, recall: 0.8296, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 1313.11, usercpu_time_millis: 301020, usercpu_time_millis_testing: 25030, usercpu_time_millis_training: 275990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7536, kappa: 0.7434, kb_relative_information_score: 77086.8615, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.7548, predictive_accuracy: 0.7533, prior_entropy: 4.6998, recall: 0.7533, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.6438, scimark_benchmark: 1310.3168, usercpu_time_millis: 540, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8742, kappa: 0.8693, kb_relative_information_score: 88173.1063, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8743, predictive_accuracy: 0.8743, prior_entropy: 4.6998, recall: 0.8743, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4821, scimark_benchmark: 1306.5596, usercpu_time_millis: 93030, usercpu_time_millis_testing: 25340, usercpu_time_millis_training: 67690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.4931, kappa: 0.49, kb_relative_information_score: 50035.1076, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.5061, predictive_accuracy: 0.5096, prior_entropy: 4.6998, recall: 0.5096, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.8257, scimark_benchmark: 1318.6467, usercpu_time_millis: 88280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 88180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9618, kappa: 0.9602, kb_relative_information_score: 96124.0593, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 4.6998, recall: 0.9618, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.282, scimark_benchmark: 1322.5413, usercpu_time_millis: 202730, usercpu_time_millis_testing: 157390, usercpu_time_millis_training: 45340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9618, kappa: 0.9602, kb_relative_information_score: 96124.0593, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 4.6998, recall: 0.9618, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.282, scimark_benchmark: 1308.6872, usercpu_time_millis: 149100, usercpu_time_millis_testing: 104290, usercpu_time_millis_training: 44810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1311.7317, usercpu_time_millis: 770, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1335.2363, usercpu_time_millis: 600, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1367.3264, usercpu_time_millis: 700, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.83, kappa: 0.8228, kb_relative_information_score: 76212.1792, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8308, predictive_accuracy: 0.8296, prior_entropy: 4.6998, recall: 0.8296, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 1356.4396, usercpu_time_millis: 300750, usercpu_time_millis_testing: 25100, usercpu_time_millis_training: 275650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9233, kappa: 0.9201, kb_relative_information_score: 93318.0176, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9241, predictive_accuracy: 0.9232, prior_entropy: 4.6998, recall: 0.9232, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3392, scimark_benchmark: 1278.9821, usercpu_time_millis: 9240, usercpu_time_millis_testing: 8400, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9618, kappa: 0.9602, kb_relative_information_score: 96124.0593, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9621, predictive_accuracy: 0.9618, prior_entropy: 4.6998, recall: 0.9618, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.282, scimark_benchmark: 1375.1578, usercpu_time_millis: 159850, usercpu_time_millis_testing: 82410, usercpu_time_millis_training: 77440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1354.3488, usercpu_time_millis: 670, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.83, kappa: 0.8228, kb_relative_information_score: 76212.1792, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8308, predictive_accuracy: 0.8296, prior_entropy: 4.6998, recall: 0.8296, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 1322.7257, usercpu_time_millis: 303480, usercpu_time_millis_testing: 25730, usercpu_time_millis_training: 277750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1297.2338, usercpu_time_millis: 610, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9476, kappa: 0.9454, kb_relative_information_score: 89761.9777, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.9481, predictive_accuracy: 0.9475, prior_entropy: 4.6998, recall: 0.9475, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3766, scimark_benchmark: 1322.7257, usercpu_time_millis: 12800, usercpu_time_millis_testing: 3140, usercpu_time_millis_training: 9660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1314.7093, usercpu_time_millis: 700, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 1288.1375, usercpu_time_millis: 720, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 918.0213, usercpu_time_millis: 740, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8738, kappa: 0.8682, kb_relative_information_score: 85636.6336, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8756, predictive_accuracy: 0.8733, prior_entropy: 4.6998, recall: 0.8733, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4624, scimark_benchmark: 918.0213, usercpu_time_millis: 3920, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.83, kappa: 0.8228, kb_relative_information_score: 76212.1792, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8308, predictive_accuracy: 0.8296, prior_entropy: 4.6998, recall: 0.8296, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 1328.1857, usercpu_time_millis: 294400, usercpu_time_millis_testing: 24910, usercpu_time_millis_training: 269490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7536, kappa: 0.7434, kb_relative_information_score: 77086.8615, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.7548, predictive_accuracy: 0.7533, prior_entropy: 4.6998, recall: 0.7533, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.6438, scimark_benchmark: 1261.7298, usercpu_time_millis: 430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.5612, kappa: 0.5437, kb_relative_information_score: 55533.6884, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.622, predictive_accuracy: 0.5613, prior_entropy: 4.6998, recall: 0.5613, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.9553, scimark_benchmark: 1371.9645, usercpu_time_millis: 96640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 96580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7536, kappa: 0.7434, kb_relative_information_score: 77086.8615, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.7548, predictive_accuracy: 0.7533, prior_entropy: 4.6998, recall: 0.7533, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.6438, scimark_benchmark: 933.1165, usercpu_time_millis: 720, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.3864, kappa: 0.3948, kb_relative_information_score: 19057.7105, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.5798, predictive_accuracy: 0.4183, prior_entropy: 4.6998, recall: 0.4183, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.187, root_relative_squared_error: 0.9723, scimark_benchmark: 1334.6745, usercpu_time_millis: 1055560, usercpu_time_millis_testing: 1055560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8933, kappa: 0.8887, kb_relative_information_score: 90724.9884, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 100000, precision: 0.8949, predictive_accuracy: 0.893, prior_entropy: 4.6998, recall: 0.893, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.398, scimark_benchmark: 933.1165, usercpu_time_millis: 720, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 210,

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