Task
Supervised Classification on datatrieve

Supervised Classification on datatrieve

Task 4628 Supervised Classification datatrieve 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4569, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -59.2313, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.048, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.8788, kappa: 0.1471, kb_relative_information_score: -279.0959, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8694, predictive_accuracy: 0.8908, prior_entropy: 0.4395, recall: 0.8908, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0344, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8651, kappa: 0.1274, kb_relative_information_score: -352.7774, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8648, predictive_accuracy: 0.8654, prior_entropy: 0.4395, recall: 0.8654, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.1911, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -266.6219, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0249, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2953, root_relative_squared_error: 1.0608, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.8728, kappa: 0.0012, kb_relative_information_score: -333.7721, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8457, predictive_accuracy: 0.9085, prior_entropy: 0.4395, recall: 0.9085, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9969, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8833, kappa: 0.1126, kb_relative_information_score: -289.8568, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8725, predictive_accuracy: 0.9085, prior_entropy: 0.4395, recall: 0.9085, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9933, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.8679, kappa: 0.003, kb_relative_information_score: -357.7764, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8458, predictive_accuracy: 0.8946, prior_entropy: 0.4395, recall: 0.8946, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.073, scimark_benchmark: 944.1067, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8762, kappa: 0.0857, kb_relative_information_score: -515.2097, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8617, predictive_accuracy: 0.8969, prior_entropy: 0.4395, recall: 0.8969, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.289, root_relative_squared_error: 1.0382, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4569, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -59.2313, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.048, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.8788, kappa: 0.1471, kb_relative_information_score: -279.0959, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8694, predictive_accuracy: 0.8908, prior_entropy: 0.4395, recall: 0.8908, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0344, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8651, kappa: 0.1274, kb_relative_information_score: -352.7774, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8648, predictive_accuracy: 0.8654, prior_entropy: 0.4395, recall: 0.8654, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.1911, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.8728, kappa: 0.0012, kb_relative_information_score: -333.7721, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8457, predictive_accuracy: 0.9085, prior_entropy: 0.4395, recall: 0.9085, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9969, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8833, kappa: 0.1126, kb_relative_information_score: -289.8568, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8725, predictive_accuracy: 0.9085, prior_entropy: 0.4395, recall: 0.9085, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9933, scimark_benchmark: 941.4991, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.8679, kappa: 0.003, kb_relative_information_score: -357.7764, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8458, predictive_accuracy: 0.8946, prior_entropy: 0.4395, recall: 0.8946, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.073, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8762, kappa: 0.0857, kb_relative_information_score: -515.2097, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8617, predictive_accuracy: 0.8969, prior_entropy: 0.4395, recall: 0.8969, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.289, root_relative_squared_error: 1.0382, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.8688, kappa: -0.022, kb_relative_information_score: -265.0888, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.837, predictive_accuracy: 0.9031, prior_entropy: 0.4395, recall: 0.9031, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0063, scimark_benchmark: 870.2101, usercpu_time_millis: 880, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.8684, kappa: -0.0232, kb_relative_information_score: -258.7357, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8369, predictive_accuracy: 0.9023, prior_entropy: 0.4395, recall: 0.9023, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2803, root_relative_squared_error: 1.0071, scimark_benchmark: 848.0926, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.8695, kappa: -0.0195, kb_relative_information_score: -259.5417, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9046, prior_entropy: 0.4395, recall: 0.9046, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.28, root_relative_squared_error: 1.0058, scimark_benchmark: 936.2727, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.8688, kappa: -0.022, kb_relative_information_score: -258.7753, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.837, predictive_accuracy: 0.9031, prior_entropy: 0.4395, recall: 0.9031, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2829, root_relative_squared_error: 1.0163, scimark_benchmark: 910.2405, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.8738, kappa: 0.0134, kb_relative_information_score: -268.6881, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8506, predictive_accuracy: 0.9077, prior_entropy: 0.4395, recall: 0.9077, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2808, root_relative_squared_error: 1.0085, scimark_benchmark: 935.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.8881, kappa: 0.1769, kb_relative_information_score: 23.5466, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8788, predictive_accuracy: 0.9062, prior_entropy: 0.4395, recall: 0.9062, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2879, root_relative_squared_error: 1.0343, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.8881, kappa: 0.1769, kb_relative_information_score: 23.5466, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8788, predictive_accuracy: 0.9062, prior_entropy: 0.4395, recall: 0.9062, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2879, root_relative_squared_error: 1.0343, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.8881, kappa: 0.1769, kb_relative_information_score: 23.5466, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8788, predictive_accuracy: 0.9062, prior_entropy: 0.4395, recall: 0.9062, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2879, root_relative_squared_error: 1.0343, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.8881, kappa: 0.1769, kb_relative_information_score: 24.6879, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8788, predictive_accuracy: 0.9062, prior_entropy: 0.4395, recall: 0.9062, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2872, root_relative_squared_error: 1.0318, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.892, kappa: 0.2104, kb_relative_information_score: 18.8971, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8841, predictive_accuracy: 0.9085, prior_entropy: 0.4395, recall: 0.9085, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2838, root_relative_squared_error: 1.0193, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, f_measure: 0.8749, kb_relative_information_score: -51.9393, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2786, root_relative_squared_error: 1.0009, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.8804, kappa: 0.1148, kb_relative_information_score: 181.0466, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8676, predictive_accuracy: 0.9008, prior_entropy: 0.4395, recall: 0.9008, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.1094, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.8886, kappa: 0.1609, kb_relative_information_score: 275.0077, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8808, predictive_accuracy: 0.9108, prior_entropy: 0.4395, recall: 0.9108, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.293, root_relative_squared_error: 1.0524, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.8957, kappa: 0.1996, kb_relative_information_score: 373.6684, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.9001, predictive_accuracy: 0.92, prior_entropy: 0.4395, recall: 0.92, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2791, root_relative_squared_error: 1.0024, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.8679, kappa: 0.003, kb_relative_information_score: -357.7764, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8458, predictive_accuracy: 0.8946, prior_entropy: 0.4395, recall: 0.8946, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.073, scimark_benchmark: 1335.5309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8762, kappa: 0.0857, kb_relative_information_score: -515.2097, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8617, predictive_accuracy: 0.8969, prior_entropy: 0.4395, recall: 0.8969, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.289, root_relative_squared_error: 1.0382, scimark_benchmark: 1309.2287, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4569, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -59.2313, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.048, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.8788, kappa: 0.1471, kb_relative_information_score: -279.0959, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8694, predictive_accuracy: 0.8908, prior_entropy: 0.4395, recall: 0.8908, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0344, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.8651, kappa: 0.1274, kb_relative_information_score: -353.3008, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8648, predictive_accuracy: 0.8654, prior_entropy: 0.4395, recall: 0.8654, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3321, root_relative_squared_error: 1.193, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -3478.975, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 2.1172, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.5009, scimark_benchmark: 1253.0071, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1313.8499, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -266.6219, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0249, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2953, root_relative_squared_error: 1.0608, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1331.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 1324.7353, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 337.8949, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.8699, kappa: -0.0182, kb_relative_information_score: -267.5402, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8371, predictive_accuracy: 0.9054, prior_entropy: 0.4395, recall: 0.9054, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0615, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8762, kappa: 0.0857, kb_relative_information_score: -515.2097, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8617, predictive_accuracy: 0.8969, prior_entropy: 0.4395, recall: 0.8969, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.289, root_relative_squared_error: 1.0382, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.8679, kappa: 0.003, kb_relative_information_score: -357.7764, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1601, number_of_instances: 1300, precision: 0.8458, predictive_accuracy: 0.8946, prior_entropy: 0.4395, recall: 0.8946, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.073, scimark_benchmark: 1348.7888, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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