OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7095, kappa: 0.4152, kb_relative_information_score: 583.6594, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.7142, prior_entropy: 0.9948, recall: 0.7142, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9235, scimark_benchmark: 1853.454, usercpu_time_millis: 1633.371, usercpu_time_millis_testing: 13.758, usercpu_time_millis_training: 1619.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6918, kappa: 0.3806, kb_relative_information_score: 515.9716, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9398, scimark_benchmark: 1842.1882, usercpu_time_millis: 2309.126, usercpu_time_millis_testing: 14.009, usercpu_time_millis_training: 2295.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6931, kappa: 0.3826, kb_relative_information_score: 534.9626, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9399, scimark_benchmark: 1820.7684, usercpu_time_millis: 2463.552, usercpu_time_millis_testing: 14.798, usercpu_time_millis_training: 2448.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.702, kappa: 0.4001, kb_relative_information_score: 551.9713, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7092, predictive_accuracy: 0.7067, prior_entropy: 0.9948, recall: 0.7067, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9321, scimark_benchmark: 1820.748, usercpu_time_millis: 2078.312, usercpu_time_millis_testing: 14.889, usercpu_time_millis_training: 2063.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6956, kappa: 0.3878, kb_relative_information_score: 537.86, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7041, predictive_accuracy: 0.7011, prior_entropy: 0.9948, recall: 0.7011, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9347, scimark_benchmark: 1834.6363, usercpu_time_millis: 2211.41, usercpu_time_millis_testing: 14.809, usercpu_time_millis_training: 2196.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7028, kappa: 0.4019, kb_relative_information_score: 555.6971, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7107, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1721.0636, usercpu_time_millis: 2214.362, usercpu_time_millis_testing: 16.997, usercpu_time_millis_training: 2197.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.7062, kappa: 0.4087, kb_relative_information_score: 575.2321, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7138, predictive_accuracy: 0.711, prior_entropy: 0.9948, recall: 0.711, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9262, scimark_benchmark: 1826.5486, usercpu_time_millis: 1867.102, usercpu_time_millis_testing: 15.198, usercpu_time_millis_training: 1851.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6857, kappa: 0.3669, kb_relative_information_score: 549.499, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6913, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9455, scimark_benchmark: 1831.6625, usercpu_time_millis: 2919.913, usercpu_time_millis_testing: 15.096, usercpu_time_millis_training: 2904.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6786, kappa: 0.3525, kb_relative_information_score: 608.318, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6835, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9503, scimark_benchmark: 1856.6531, usercpu_time_millis: 3752.114, usercpu_time_millis_testing: 13.271, usercpu_time_millis_training: 3738.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.687, kappa: 0.3696, kb_relative_information_score: 545.1389, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6927, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9452, scimark_benchmark: 1853.454, usercpu_time_millis: 2887.672, usercpu_time_millis_testing: 14.784, usercpu_time_millis_training: 2872.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6943, kappa: 0.3852, kb_relative_information_score: 517.8778, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7026, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9384, scimark_benchmark: 1849.3014, usercpu_time_millis: 2242.524, usercpu_time_millis_testing: 14.161, usercpu_time_millis_training: 2228.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6958, kappa: 0.3878, kb_relative_information_score: 524.4324, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7032, predictive_accuracy: 0.7009, prior_entropy: 0.9948, recall: 0.7009, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9413, scimark_benchmark: 1851.8567, usercpu_time_millis: 2458.156, usercpu_time_millis_testing: 14.191, usercpu_time_millis_training: 2443.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7083, kappa: 0.4129, kb_relative_information_score: 590.6304, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9238, scimark_benchmark: 1735.1968, usercpu_time_millis: 1907.214, usercpu_time_millis_testing: 16.368, usercpu_time_millis_training: 1890.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6973, kappa: 0.3911, kb_relative_information_score: 538.0665, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7058, predictive_accuracy: 0.7027, prior_entropy: 0.9948, recall: 0.7027, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9346, scimark_benchmark: 1788.4224, usercpu_time_millis: 2267.046, usercpu_time_millis_testing: 15.009, usercpu_time_millis_training: 2252.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7147, kappa: 0.4253, kb_relative_information_score: 608.5614, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.721, predictive_accuracy: 0.7187, prior_entropy: 0.9948, recall: 0.7187, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9209, scimark_benchmark: 1851.827, usercpu_time_millis: 1566.826, usercpu_time_millis_testing: 13.513, usercpu_time_millis_training: 1553.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7538, kappa: 0.5034, kb_relative_information_score: 1581.9656, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9681, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.678, kappa: 0.3511, kb_relative_information_score: 607.2801, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9487, scimark_benchmark: 1767.5423, usercpu_time_millis: 4031.289, usercpu_time_millis_testing: 15.57, usercpu_time_millis_training: 4015.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6769, kappa: 0.3493, kb_relative_information_score: 605.1182, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6824, predictive_accuracy: 0.6817, prior_entropy: 0.9948, recall: 0.6817, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1853.454, usercpu_time_millis: 3532.263, usercpu_time_millis_testing: 11.314, usercpu_time_millis_training: 3520.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6788, kappa: 0.3527, kb_relative_information_score: 608.4647, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6834, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9497, scimark_benchmark: 1853.9121, usercpu_time_millis: 3441.529, usercpu_time_millis_testing: 11.735, usercpu_time_millis_training: 3429.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6845, kappa: 0.3642, kb_relative_information_score: 602.2187, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6892, predictive_accuracy: 0.6886, prior_entropy: 0.9948, recall: 0.6886, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9474, scimark_benchmark: 1793.896, usercpu_time_millis: 3923.868, usercpu_time_millis_testing: 19.266, usercpu_time_millis_training: 3904.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6811, kappa: 0.3575, kb_relative_information_score: 614.6138, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.686, predictive_accuracy: 0.6854, prior_entropy: 0.9948, recall: 0.6854, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9488, scimark_benchmark: 1802.2181, usercpu_time_millis: 4090.933, usercpu_time_millis_testing: 19.004, usercpu_time_millis_training: 4071.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6876, kappa: 0.3703, kb_relative_information_score: 577.1076, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6916, predictive_accuracy: 0.6913, prior_entropy: 0.9948, recall: 0.6913, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.946, scimark_benchmark: 1799.2977, usercpu_time_millis: 3707.175, usercpu_time_millis_testing: 21.147, usercpu_time_millis_training: 3686.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6925, kappa: 0.3814, kb_relative_information_score: 527.0009, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7006, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.941, scimark_benchmark: 1804.269, usercpu_time_millis: 2617.455, usercpu_time_millis_testing: 15.922, usercpu_time_millis_training: 2601.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6767, kappa: 0.3489, kb_relative_information_score: 603.6725, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.6814, prior_entropy: 0.9948, recall: 0.6814, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1853.3841, usercpu_time_millis: 3395.86, usercpu_time_millis_testing: 11.345, usercpu_time_millis_training: 3384.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6886, kappa: 0.373, kb_relative_information_score: 536.9964, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.695, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9431, scimark_benchmark: 1807.2072, usercpu_time_millis: 2629.494, usercpu_time_millis_testing: 13.564, usercpu_time_millis_training: 2615.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7083, kappa: 0.4129, kb_relative_information_score: 590.6364, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.7131, prior_entropy: 0.9948, recall: 0.7131, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9238, scimark_benchmark: 1798.6594, usercpu_time_millis: 2636.689, usercpu_time_millis_testing: 24.824, usercpu_time_millis_training: 2611.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.6798, kappa: 0.3547, kb_relative_information_score: 625.9166, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.684, predictive_accuracy: 0.6838, prior_entropy: 0.9948, recall: 0.6838, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9482, scimark_benchmark: 1853.9121, usercpu_time_millis: 3366.463, usercpu_time_millis_testing: 11.365, usercpu_time_millis_training: 3355.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6966, kappa: 0.3896, kb_relative_information_score: 534.8188, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7048, predictive_accuracy: 0.7019, prior_entropy: 0.9948, recall: 0.7019, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9359, scimark_benchmark: 1811.534, usercpu_time_millis: 2867.429, usercpu_time_millis_testing: 20.708, usercpu_time_millis_training: 2846.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6773, kappa: 0.3498, kb_relative_information_score: 608.2286, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 0.9948, recall: 0.6817, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1785.5337, usercpu_time_millis: 4363.617, usercpu_time_millis_testing: 19.411, usercpu_time_millis_training: 4344.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6944, kappa: 0.3849, kb_relative_information_score: 520.9457, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9411, scimark_benchmark: 1821.7542, usercpu_time_millis: 2759.203, usercpu_time_millis_testing: 16.748, usercpu_time_millis_training: 2742.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.676, kappa: 0.3472, kb_relative_information_score: 607.5113, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6807, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1797.1329, usercpu_time_millis: 5479.415, usercpu_time_millis_testing: 29.703, usercpu_time_millis_training: 5449.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.687, kappa: 0.3693, kb_relative_information_score: 597.1274, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6916, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9458, scimark_benchmark: 1854.4951, usercpu_time_millis: 2913.509, usercpu_time_millis_testing: 11.299, usercpu_time_millis_training: 2902.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6916, kappa: 0.3797, kb_relative_information_score: 526.3789, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6998, predictive_accuracy: 0.6971, prior_entropy: 0.9948, recall: 0.6971, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9402, scimark_benchmark: 1787.7409, usercpu_time_millis: 2435.925, usercpu_time_millis_testing: 14.508, usercpu_time_millis_training: 2421.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6822, kappa: 0.3596, kb_relative_information_score: 618.0853, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9948, recall: 0.6862, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, scimark_benchmark: 1853.6609, usercpu_time_millis: 3489.206, usercpu_time_millis_testing: 11.219, usercpu_time_millis_training: 3477.987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6885, kappa: 0.3722, kb_relative_information_score: 552.471, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6929, predictive_accuracy: 0.6923, prior_entropy: 0.9948, recall: 0.6923, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9447, scimark_benchmark: 1134.1878, usercpu_time_millis: 3322.105, usercpu_time_millis_testing: 15.023, usercpu_time_millis_training: 3307.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6861, kappa: 0.368, kb_relative_information_score: 550.1491, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6925, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9464, scimark_benchmark: 1839.6694, usercpu_time_millis: 3122.011, usercpu_time_millis_testing: 16.205, usercpu_time_millis_training: 3105.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6933, kappa: 0.3835, kb_relative_information_score: 525.0764, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7027, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9366, scimark_benchmark: 1994.2619, usercpu_time_millis: 1999.33, usercpu_time_millis_testing: 12.705, usercpu_time_millis_training: 1986.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.6933, kappa: 0.383, kb_relative_information_score: 531.4861, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.6987, prior_entropy: 0.9948, recall: 0.6987, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9398, scimark_benchmark: 1852.3877, usercpu_time_millis: 2186.539, usercpu_time_millis_testing: 12.589, usercpu_time_millis_training: 2173.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6883, kappa: 0.3731, kb_relative_information_score: 520.8972, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6965, predictive_accuracy: 0.6939, prior_entropy: 0.9948, recall: 0.6939, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9433, scimark_benchmark: 1857.5664, usercpu_time_millis: 2437.662, usercpu_time_millis_testing: 12.182, usercpu_time_millis_training: 2425.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7036, kappa: 0.4033, kb_relative_information_score: 562.9512, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9291, scimark_benchmark: 1857.5664, usercpu_time_millis: 1731.004, usercpu_time_millis_testing: 12.326, usercpu_time_millis_training: 1718.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.6938, kappa: 0.3842, kb_relative_information_score: 523.9818, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7028, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9387, scimark_benchmark: 2034.2174, usercpu_time_millis: 2253.344, usercpu_time_millis_testing: 14.338, usercpu_time_millis_training: 2239.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7112, kappa: 0.4185, kb_relative_information_score: 591.6262, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.718, predictive_accuracy: 0.7155, prior_entropy: 0.9948, recall: 0.7155, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9239, scimark_benchmark: 1859.1356, usercpu_time_millis: 1998.36, usercpu_time_millis_testing: 18.668, usercpu_time_millis_training: 1979.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6762, kappa: 0.3476, kb_relative_information_score: 603.4934, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.681, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9499, scimark_benchmark: 1770.3515, usercpu_time_millis: 5413.589, usercpu_time_millis_testing: 29.599, usercpu_time_millis_training: 5383.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.679, kappa: 0.353, kb_relative_information_score: 604.0339, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6832, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9508, scimark_benchmark: 1784.8802, usercpu_time_millis: 4346.666, usercpu_time_millis_testing: 18.253, usercpu_time_millis_training: 4328.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6779, kappa: 0.351, kb_relative_information_score: 604.9256, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9495, scimark_benchmark: 1748.2852, usercpu_time_millis: 4250.388, usercpu_time_millis_testing: 17.793, usercpu_time_millis_training: 4232.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6755, kappa: 0.3464, kb_relative_information_score: 604.3769, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1744.8601, usercpu_time_millis: 4945.412, usercpu_time_millis_testing: 24.275, usercpu_time_millis_training: 4921.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6802, kappa: 0.3557, kb_relative_information_score: 599.9975, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6852, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.949, scimark_benchmark: 1752.5163, usercpu_time_millis: 4958.862, usercpu_time_millis_testing: 25.048, usercpu_time_millis_training: 4933.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6818, kappa: 0.3588, kb_relative_information_score: 607.7088, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6864, predictive_accuracy: 0.686, prior_entropy: 0.9948, recall: 0.686, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1687.9644, usercpu_time_millis: 4259.448, usercpu_time_millis_testing: 16.594, usercpu_time_millis_training: 4242.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6759, kappa: 0.3473, kb_relative_information_score: 610.1724, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1817.9059, usercpu_time_millis: 4602.374, usercpu_time_millis_testing: 21.395, usercpu_time_millis_training: 4580.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6754, kappa: 0.3463, kb_relative_information_score: 608.0558, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493, scimark_benchmark: 1806.2048, usercpu_time_millis: 4463.091, usercpu_time_millis_testing: 19.17, usercpu_time_millis_training: 4443.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6358, kappa: 0.2999, kb_relative_information_score: 717.7753, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.6673, prior_entropy: 0.9948, recall: 0.6673, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9032, scimark_benchmark: 1769.5742, usercpu_time_millis: 2910.222, usercpu_time_millis_testing: 45.866, usercpu_time_millis_training: 2864.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7106, kappa: 0.4173, kb_relative_information_score: 585.6048, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7175, predictive_accuracy: 0.715, prior_entropy: 0.9948, recall: 0.715, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9232, scimark_benchmark: 1767.1911, usercpu_time_millis: 3104.04, usercpu_time_millis_testing: 31.838, usercpu_time_millis_training: 3072.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6886, kappa: 0.3724, kb_relative_information_score: 560.2143, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6933, predictive_accuracy: 0.6926, prior_entropy: 0.9948, recall: 0.6926, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9467, scimark_benchmark: 1785.4526, usercpu_time_millis: 3710.727, usercpu_time_millis_testing: 21.293, usercpu_time_millis_training: 3689.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6876, kappa: 0.3703, kb_relative_information_score: 593.4635, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6922, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9462, scimark_benchmark: 1749.1202, usercpu_time_millis: 3644.069, usercpu_time_millis_testing: 16.395, usercpu_time_millis_training: 3627.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7623, kappa: 0.5203, kb_relative_information_score: 1150.1664, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8448, scimark_benchmark: 1718.4764, usercpu_time_millis: 1886.726, usercpu_time_millis_testing: 29.922, usercpu_time_millis_training: 1856.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7031, kappa: 0.4024, kb_relative_information_score: 556.8442, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9306, scimark_benchmark: 1722.9832, usercpu_time_millis: 2611.013, usercpu_time_millis_testing: 20.994, usercpu_time_millis_training: 2590.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7671, kappa: 0.53, kb_relative_information_score: 1051.2501, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8467, scimark_benchmark: 1755.9796, usercpu_time_millis: 2615.923, usercpu_time_millis_testing: 33.692, usercpu_time_millis_training: 2582.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7017, kappa: 0.3999, kb_relative_information_score: 545.4112, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7102, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9304, scimark_benchmark: 1723.5103, usercpu_time_millis: 2414.014, usercpu_time_millis_testing: 19.262, usercpu_time_millis_training: 2394.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7188, kappa: 0.4335, kb_relative_information_score: 650.4287, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7251, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9135, scimark_benchmark: 1788.075, usercpu_time_millis: 2294.31, usercpu_time_millis_testing: 25.323, usercpu_time_millis_training: 2268.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7683, kappa: 0.5325, kb_relative_information_score: 1294.8143, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8235, scimark_benchmark: 1795.4562, usercpu_time_millis: 2381.279, usercpu_time_millis_testing: 32.633, usercpu_time_millis_training: 2348.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7195, kappa: 0.4349, kb_relative_information_score: 644.383, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7233, prior_entropy: 0.9948, recall: 0.7233, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9147, scimark_benchmark: 1802.8911, usercpu_time_millis: 2302.725, usercpu_time_millis_testing: 24.61, usercpu_time_millis_training: 2278.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7561, kappa: 0.5078, kb_relative_information_score: 1096.1734, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.854, scimark_benchmark: 1779.8401, usercpu_time_millis: 2170.08, usercpu_time_millis_testing: 31.748, usercpu_time_millis_training: 2138.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7271, kappa: 0.4496, kb_relative_information_score: 731.656, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7311, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9033, scimark_benchmark: 1804.3835, usercpu_time_millis: 2175.134, usercpu_time_millis_testing: 26.095, usercpu_time_millis_training: 2149.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7618, kappa: 0.5194, kb_relative_information_score: 1198.579, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7625, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1769.3819, usercpu_time_millis: 2136.071, usercpu_time_millis_testing: 31.935, usercpu_time_millis_training: 2104.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1265.6502, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8305, scimark_benchmark: 1788.6014, usercpu_time_millis: 2073.742, usercpu_time_millis_testing: 33.321, usercpu_time_millis_training: 2040.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7652, kappa: 0.5264, kb_relative_information_score: 1371.1239, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1799.9402, usercpu_time_millis: 2050.269, usercpu_time_millis_testing: 31.82, usercpu_time_millis_training: 2018.449,

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

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

OpenML APIs