Task
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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1271 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9579, kappa: 0.9388, kb_relative_information_score: 12058.6028, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9579, predictive_accuracy: 0.9583, prior_entropy: 1.7176, recall: 0.9583, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9694, kb_relative_information_score: 12264.4759, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9787, predictive_accuracy: 0.9792, prior_entropy: 1.7176, recall: 0.9792, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9401, kappa: 0.9166, kb_relative_information_score: 11539.8721, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9444, predictive_accuracy: 0.9434, prior_entropy: 1.7176, recall: 0.9434, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9419, kappa: 0.9177, kb_relative_information_score: 11565.5472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 1.7176, recall: 0.9441, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9861, kappa: 0.979, kb_relative_information_score: 12636.3136, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9867, predictive_accuracy: 0.9856, prior_entropy: 1.7176, recall: 0.9856, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9943, kappa: 0.9917, kb_relative_information_score: 12839.1346, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 1.7176, recall: 0.9944, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9197, kappa: 0.8822, kb_relative_information_score: 11068.9011, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 1.7176, recall: 0.9196, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 5943.4064, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7226.2093, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9568, kappa: 0.9532, kb_relative_information_score: 8524.9884, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9699, predictive_accuracy: 0.9684, prior_entropy: 1.7176, recall: 0.9684, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 9053.5488, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.5918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9756, kappa: 0.9675, kb_relative_information_score: 10138.0596, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9781, predictive_accuracy: 0.9779, prior_entropy: 1.7176, recall: 0.9779, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9311, kappa: 0.8993, kb_relative_information_score: 2780.2884, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.931, predictive_accuracy: 0.9314, prior_entropy: 1.7176, recall: 0.9314, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9736, kappa: 0.9621, kb_relative_information_score: 12271.0668, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9735, predictive_accuracy: 0.9742, prior_entropy: 1.7176, recall: 0.9742, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8934, kappa: 0.8585, kb_relative_information_score: 6690.0163, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8828, predictive_accuracy: 0.9045, prior_entropy: 1.7176, recall: 0.9045, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.24, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 9182.3019, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7232.7241, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9303, kappa: 0.8981, kb_relative_information_score: 11371.1123, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9302, predictive_accuracy: 0.9306, prior_entropy: 1.7176, recall: 0.9306, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9303, kappa: 0.8982, kb_relative_information_score: 2784.959, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9302, predictive_accuracy: 0.9306, prior_entropy: 1.7176, recall: 0.9306, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8151, kappa: 0.7406, kb_relative_information_score: 2442.9927, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8126, predictive_accuracy: 0.8252, prior_entropy: 1.7176, recall: 0.8252, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.328, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 2061.917, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8928, kappa: 0.8547, kb_relative_information_score: 10149.4206, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9043, predictive_accuracy: 0.9019, prior_entropy: 1.7176, recall: 0.9019, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9419, kappa: 0.9177, kb_relative_information_score: 11565.5472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 1.7176, recall: 0.9441, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3417, scimark_benchmark: 1807.0392, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1666.3118, usercpu_time_millis: 6130, usercpu_time_millis_testing: 6130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 1820.7646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1753.7366, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9805, kappa: 0.9716, kb_relative_information_score: 11930.0816, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9804, predictive_accuracy: 0.9806, prior_entropy: 1.7176, recall: 0.9806, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2595, scimark_benchmark: 1826.4627, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10149.3711, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.3963, scimark_benchmark: 1746.0653, usercpu_time_millis: 18200, usercpu_time_millis_testing: 18200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9884, kappa: 0.9832, kb_relative_information_score: 12730.0104, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 1.7176, recall: 0.9885, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1768, scimark_benchmark: 1457.4511, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9986, kb_relative_information_score: 12908.0139, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.999, predictive_accuracy: 0.9991, prior_entropy: 1.7176, recall: 0.9991, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0533, scimark_benchmark: 1568.6616, usercpu_time_millis: 22520, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 22060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9997, kb_relative_information_score: 2964.6627, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9996, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.856, scimark_benchmark: 1815.7462, usercpu_time_millis: 369460, usercpu_time_millis_testing: 81950, usercpu_time_millis_training: 287510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 12904.9833, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0082, root_relative_squared_error: 0.0223, scimark_benchmark: 1535.4824, usercpu_time_millis: 184140, usercpu_time_millis_testing: 36720, usercpu_time_millis_training: 147420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9988, kappa: 0.9984, kb_relative_information_score: 12917.0526, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9988, predictive_accuracy: 0.9989, prior_entropy: 1.7176, recall: 0.9989, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0563, scimark_benchmark: 1667.2899, usercpu_time_millis: 192080, usercpu_time_millis_testing: 42590, usercpu_time_millis_training: 149490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9644, kappa: 0.948, kb_relative_information_score: 12186.5622, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9642, predictive_accuracy: 0.9645, prior_entropy: 1.7176, recall: 0.9645, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2797, scimark_benchmark: 1580.826, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8909, kappa: 0.8546, kb_relative_information_score: 6440.2805, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8804, predictive_accuracy: 0.9019, prior_entropy: 1.7176, recall: 0.9019, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.6667, scimark_benchmark: 1542.4584, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9714, kappa: 0.9583, kb_relative_information_score: 12016.9591, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9713, predictive_accuracy: 0.9715, prior_entropy: 1.7176, recall: 0.9715, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2904, scimark_benchmark: 1477.1457, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8944, kappa: 0.8597, kb_relative_information_score: 10131.1511, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8844, predictive_accuracy: 0.9053, prior_entropy: 1.7176, recall: 0.9053, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4828, scimark_benchmark: 1401.083, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1497.9585, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9854, kappa: 0.9787, kb_relative_information_score: 12399.0362, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 1.7176, recall: 0.9855, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1915, scimark_benchmark: 1450.3691, usercpu_time_millis: 340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.942, kappa: 0.9149, kb_relative_information_score: 11852.3218, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9423, predictive_accuracy: 0.9419, prior_entropy: 1.7176, recall: 0.9419, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3799, scimark_benchmark: 1457.4076, usercpu_time_millis: 39310, usercpu_time_millis_testing: 39300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9739, kappa: 0.9617, kb_relative_information_score: 12456.7408, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 1.7176, recall: 0.9738, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2272, scimark_benchmark: 1482.9061, usercpu_time_millis: 35460, usercpu_time_millis_testing: 35450, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1524.0948, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8623, kappa: 0.812, kb_relative_information_score: 7483.7142, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8681, predictive_accuracy: 0.8734, prior_entropy: 1.7176, recall: 0.8734, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.6839, scimark_benchmark: 1478.387, usercpu_time_millis: 382690, usercpu_time_millis_testing: 382660, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9771, kappa: 0.9666, kb_relative_information_score: 12434.4676, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9771, predictive_accuracy: 0.9772, prior_entropy: 1.7176, recall: 0.9772, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.2224, scimark_benchmark: 1454.8002, usercpu_time_millis: 27530, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 27440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9651, kappa: 0.9509, kb_relative_information_score: 10448.0796, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9657, predictive_accuracy: 0.9667, prior_entropy: 1.7176, recall: 0.9667, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3949, scimark_benchmark: 1425.3462, usercpu_time_millis: 83340, usercpu_time_millis_testing: 83290, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9383, kappa: 0.9098, kb_relative_information_score: 11834.9936, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9383, predictive_accuracy: 0.9384, prior_entropy: 1.7176, recall: 0.9384, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.384, scimark_benchmark: 1619.6977, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 5328.6732, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.7152, scimark_benchmark: 1438.2114, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9154, kappa: 0.8759, kb_relative_information_score: 10929.8202, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9158, predictive_accuracy: 0.9153, prior_entropy: 1.7176, recall: 0.9153, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4305, scimark_benchmark: 1428.7839, usercpu_time_millis: 320, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9804, kappa: 0.9714, kb_relative_information_score: 12556.7583, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9804, predictive_accuracy: 0.9805, prior_entropy: 1.7176, recall: 0.9805, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2281, scimark_benchmark: 1458.5225, usercpu_time_millis: 27160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 27080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9682, kappa: 0.9552, kb_relative_information_score: 10615.2011, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9688, predictive_accuracy: 0.9695, prior_entropy: 1.7176, recall: 0.9695, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4001, scimark_benchmark: 1457.4224, usercpu_time_millis: 190240, usercpu_time_millis_testing: 62230, usercpu_time_millis_training: 128010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8934, kappa: 0.8553, kb_relative_information_score: 10148.4071, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9047, predictive_accuracy: 0.9023, prior_entropy: 1.7176, recall: 0.9023, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.4795, scimark_benchmark: 1503.1131, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9474, kappa: 0.9377, kb_relative_information_score: 8619.7671, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 1.7176, recall: 0.9579, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.5145, scimark_benchmark: 1552.0629, usercpu_time_millis: 28070, usercpu_time_millis_testing: 28060, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8919, kappa: 0.8533, kb_relative_information_score: 10136.3476, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9034, predictive_accuracy: 0.901, prior_entropy: 1.7176, recall: 0.901, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.4805, scimark_benchmark: 1643.8943, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9656, kappa: 0.9501, kb_relative_information_score: 11864.5678, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9655, predictive_accuracy: 0.966, prior_entropy: 1.7176, recall: 0.966, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2962, scimark_benchmark: 1423.2704, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.0223, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1507.9732, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9526, kb_relative_information_score: 12048.1629, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9669, predictive_accuracy: 0.9677, prior_entropy: 1.7176, recall: 0.9677, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.264, scimark_benchmark: 1532.9056, usercpu_time_millis: 430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9643, kappa: 0.9484, kb_relative_information_score: 12138.959, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.964, predictive_accuracy: 0.9648, prior_entropy: 1.7176, recall: 0.9648, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.099, root_relative_squared_error: 0.268, scimark_benchmark: 1738.9943, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,

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