Task
Supervised Classification on machine_cpu

Supervised Classification on machine_cpu

Task 3599 Supervised Classification machine_cpu 652 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8819, kappa: 0.7035, kb_relative_information_score: 138.6371, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8846, predictive_accuracy: 0.8804, prior_entropy: 0.8417, recall: 0.8804, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.7809, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.0682, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4833, scimark_benchmark: 1314.0383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9066, kappa: 0.7691, kb_relative_information_score: 128.9277, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9135, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.6251, scimark_benchmark: 1307.3764, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 169.2522, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5844, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 166.469, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6049, scimark_benchmark: 1449.4352, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 153.708, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5996, scimark_benchmark: 896.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9415, kappa: 0.8485, kb_relative_information_score: 135.7915, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.519, scimark_benchmark: 1308.3432, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9466, kappa: 0.8619, kb_relative_information_score: 135.5229, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9472, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5189, scimark_benchmark: 1311.9814, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9313, kappa: 0.8211, kb_relative_information_score: 133.3985, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5306, scimark_benchmark: 1299.9482, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.922, kappa: 0.798, kb_relative_information_score: 131.3069, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9226, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5423, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 162.3229, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5827, scimark_benchmark: 898.1296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9239, kappa: 0.807, kb_relative_information_score: 165.2937, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9245, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5475, scimark_benchmark: 1321.5205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9326, kappa: 0.8273, kb_relative_information_score: 166.7924, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9324, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5197, scimark_benchmark: 1310.6407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9276, kappa: 0.8139, kb_relative_information_score: 145.4113, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5123, scimark_benchmark: 1314.7093, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 158.2583, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5904, scimark_benchmark: 1303.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 158.2583, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5904, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 155.6421, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.5458, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9383, kappa: 0.8441, kb_relative_information_score: 172.0166, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9393, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5185, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 172.6298, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4922, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 131.8029, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5399, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.1064, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 167.7287, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5815, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9066, kappa: 0.7691, kb_relative_information_score: 13.2428, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9135, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.8528, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8964, kappa: 0.7405, kb_relative_information_score: 127.5735, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8997, predictive_accuracy: 0.8947, prior_entropy: 0.8417, recall: 0.8947, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6518, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 141.2076, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5722, scimark_benchmark: 1347.3845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 158.9493, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4766, scimark_benchmark: 1330.7266, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.9066, kappa: 0.7691, kb_relative_information_score: 127.5345, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9135, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6427, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.9032, kappa: 0.7504, kb_relative_information_score: 154.1481, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9028, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6852, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 170.8878, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5284, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 164.608, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5351, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9184, kappa: 0.7915, kb_relative_information_score: 159.8174, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9182, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5441, scimark_benchmark: 1373.2982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9284, kappa: 0.8181, kb_relative_information_score: 162.265, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9287, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4687, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 155.6421, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.5458, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.885, kappa: 0.6972, kb_relative_information_score: -64.0868, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8895, predictive_accuracy: 0.89, prior_entropy: 0.8417, recall: 0.89, relative_absolute_error: 1.1448, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.0269, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 158.9493, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4766, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 158.9493, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4766, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9032, kappa: 0.7504, kb_relative_information_score: 132.3165, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9028, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5455, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 144.5457, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5194, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9288, kappa: 0.8201, kb_relative_information_score: 166.0787, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9298, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5713, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 168.2302, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5493, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9292, kappa: 0.8221, kb_relative_information_score: 164.052, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9313, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5818, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 162.3229, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5827, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9239, kappa: 0.807, kb_relative_information_score: 165.2937, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9245, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5475, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9326, kappa: 0.8273, kb_relative_information_score: 166.7924, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9324, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5197, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 166.6386, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.483, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9284, kappa: 0.8181, kb_relative_information_score: 162.265, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9287, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4687, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 154.5961, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5305, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9184, kappa: 0.7915, kb_relative_information_score: 161.0882, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9182, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4885, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9516, kappa: 0.8752, kb_relative_information_score: 170.2037, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.8417, recall: 0.9522, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4738, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9334, kappa: 0.8312, kb_relative_information_score: 164.2253, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.934, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4425, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 167.4791, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5038, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9368, kappa: 0.8368, kb_relative_information_score: 116.9976, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5687, scimark_benchmark: 943.2817, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9064, kappa: 0.7558, kb_relative_information_score: 121.5976, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9082, predictive_accuracy: 0.9091, prior_entropy: 0.8417, recall: 0.9091, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5895, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 170.6331, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5556, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 170.6331, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5556, scimark_benchmark: 942.6953, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.923, kappa: 0.8026, kb_relative_information_score: 163.3393, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9228, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6013, scimark_benchmark: 929.0255, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.6188, kb_relative_information_score: 46.4511, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.1565, scimark_benchmark: 930.32, 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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs