OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7083, kappa: 0.4131, kb_relative_information_score: 577.8605, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7169, predictive_accuracy: 0.7134, prior_entropy: 0.9948, recall: 0.7134, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9246, scimark_benchmark: 1845.3024, usercpu_time_millis: 1981.659, usercpu_time_millis_testing: 17.76, usercpu_time_millis_training: 1963.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7038, kappa: 0.404, kb_relative_information_score: 574.1388, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7089, prior_entropy: 0.9948, recall: 0.7089, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9274, scimark_benchmark: 1923.4487, usercpu_time_millis: 2075.616, usercpu_time_millis_testing: 16.974, usercpu_time_millis_training: 2058.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6773, kappa: 0.3498, kb_relative_information_score: 601.149, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6822, predictive_accuracy: 0.6817, prior_entropy: 0.9948, recall: 0.6817, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1852.9259, usercpu_time_millis: 3526.151, usercpu_time_millis_testing: 11.704, usercpu_time_millis_training: 3514.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6924, kappa: 0.3812, kb_relative_information_score: 525.6655, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7008, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.94, scimark_benchmark: 1792.3293, usercpu_time_millis: 3037.765, usercpu_time_millis_testing: 21.483, usercpu_time_millis_training: 3016.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6926, kappa: 0.3818, kb_relative_information_score: 527.0081, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9386, scimark_benchmark: 1853.5818, usercpu_time_millis: 3331.416, usercpu_time_millis_testing: 26.24, usercpu_time_millis_training: 3305.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7064, kappa: 0.409, kb_relative_information_score: 575.503, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7143, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9264, scimark_benchmark: 1895.5741, usercpu_time_millis: 2269.06, usercpu_time_millis_testing: 20.992, usercpu_time_millis_training: 2248.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.7005, kappa: 0.3974, kb_relative_information_score: 543.2593, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7086, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9314, scimark_benchmark: 1847.8604, usercpu_time_millis: 1816.593, usercpu_time_millis_testing: 12.185, usercpu_time_millis_training: 1804.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6755, kappa: 0.3465, kb_relative_information_score: 603.5398, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6811, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9497, scimark_benchmark: 2006.6592, usercpu_time_millis: 3913.615, usercpu_time_millis_testing: 16.188, usercpu_time_millis_training: 3897.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.7154, kappa: 0.4268, kb_relative_information_score: 659.5726, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.722, predictive_accuracy: 0.7195, prior_entropy: 0.9948, recall: 0.7195, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9127, scimark_benchmark: 1917.2723, usercpu_time_millis: 1849.383, usercpu_time_millis_testing: 20.283, usercpu_time_millis_training: 1829.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.679, kappa: 0.3531, kb_relative_information_score: 603.9314, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9497, scimark_benchmark: 1848.0543, usercpu_time_millis: 3604.645, usercpu_time_millis_testing: 11.278, usercpu_time_millis_training: 3593.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7615, kappa: 0.5187, kb_relative_information_score: 1162.0037, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8442, scimark_benchmark: 1784.4532, usercpu_time_millis: 1961.069, usercpu_time_millis_testing: 29.233, usercpu_time_millis_training: 1931.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6841, kappa: 0.3638, kb_relative_information_score: 550.0664, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6901, predictive_accuracy: 0.6889, prior_entropy: 0.9948, recall: 0.6889, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9466, scimark_benchmark: 1873.3194, usercpu_time_millis: 4017.733, usercpu_time_millis_testing: 24.534, usercpu_time_millis_training: 3993.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7038, kappa: 0.404, kb_relative_information_score: 574.2535, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7089, prior_entropy: 0.9948, recall: 0.7089, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9274, scimark_benchmark: 1776.2482, usercpu_time_millis: 2777.992, usercpu_time_millis_testing: 25.333, usercpu_time_millis_training: 2752.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6917, kappa: 0.3805, kb_relative_information_score: 516.1443, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7016, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9391, scimark_benchmark: 1847.1323, usercpu_time_millis: 5254.663, usercpu_time_millis_testing: 46.924, usercpu_time_millis_training: 5207.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6966, kappa: 0.3896, kb_relative_information_score: 537.9839, mean_absolute_error: 0.4365, 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: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9353, scimark_benchmark: 1813.227, usercpu_time_millis: 3091.884, usercpu_time_millis_testing: 23.507, usercpu_time_millis_training: 3068.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7032, kappa: 0.4026, kb_relative_information_score: 556.6728, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7108, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9298, scimark_benchmark: 1784.5775, usercpu_time_millis: 2710.57, usercpu_time_millis_testing: 23.151, usercpu_time_millis_training: 2687.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6926, kappa: 0.3818, kb_relative_information_score: 525.706, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.94, scimark_benchmark: 1836.5803, usercpu_time_millis: 2198.682, usercpu_time_millis_testing: 13.069, usercpu_time_millis_training: 2185.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6869, kappa: 0.3691, kb_relative_information_score: 560.9624, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6917, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9458, scimark_benchmark: 1830.7616, usercpu_time_millis: 3514.379, usercpu_time_millis_testing: 21.244, usercpu_time_millis_training: 3493.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7003, kappa: 0.3972, kb_relative_information_score: 540.811, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7088, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1796.2564, usercpu_time_millis: 2891.669, usercpu_time_millis_testing: 21.578, usercpu_time_millis_training: 2870.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7575, kappa: 0.5106, kb_relative_information_score: 1112.2316, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.424, root_relative_squared_error: 0.851, scimark_benchmark: 1796.5341, usercpu_time_millis: 1837.533, usercpu_time_millis_testing: 28.621, usercpu_time_millis_training: 1808.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6803, kappa: 0.3557, kb_relative_information_score: 610.6811, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6846, predictive_accuracy: 0.6844, prior_entropy: 0.9948, recall: 0.6844, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1942.7709, usercpu_time_millis: 3661.311, usercpu_time_millis_testing: 12.316, usercpu_time_millis_training: 3648.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6763, kappa: 0.3479, kb_relative_information_score: 606.16, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6815, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1847.2753, usercpu_time_millis: 4036.688, usercpu_time_millis_testing: 15.108, usercpu_time_millis_training: 4021.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6856, kappa: 0.3664, kb_relative_information_score: 562.311, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6903, predictive_accuracy: 0.6897, prior_entropy: 0.9948, recall: 0.6897, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9461, scimark_benchmark: 1853.9121, usercpu_time_millis: 2654.241, usercpu_time_millis_testing: 12.86, usercpu_time_millis_training: 2641.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6894, kappa: 0.3739, kb_relative_information_score: 567.1938, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6936, predictive_accuracy: 0.6931, prior_entropy: 0.9948, recall: 0.6931, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9468, scimark_benchmark: 1848.6795, usercpu_time_millis: 2714.89, usercpu_time_millis_testing: 11.643, usercpu_time_millis_training: 2703.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.679, kappa: 0.3533, kb_relative_information_score: 616.1511, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6837, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1853.9121, usercpu_time_millis: 3354.275, usercpu_time_millis_testing: 11.749, usercpu_time_millis_training: 3342.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6821, kappa: 0.3594, kb_relative_information_score: 611.1334, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6866, predictive_accuracy: 0.6862, prior_entropy: 0.9948, recall: 0.6862, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9483, scimark_benchmark: 1849.3014, usercpu_time_millis: 3484.691, usercpu_time_millis_testing: 11.816, usercpu_time_millis_training: 3472.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7539, kappa: 0.5035, kb_relative_information_score: 1054.6729, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.86, scimark_benchmark: 1819.3035, usercpu_time_millis: 1993.929, usercpu_time_millis_testing: 28.373, usercpu_time_millis_training: 1965.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.6805, kappa: 0.3562, kb_relative_information_score: 608.8656, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6849, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9491, scimark_benchmark: 1830.1166, usercpu_time_millis: 4845.43, usercpu_time_millis_testing: 24.884, usercpu_time_millis_training: 4820.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6943, kappa: 0.3846, kb_relative_information_score: 531.7375, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9395, scimark_benchmark: 1810.6297, usercpu_time_millis: 3253.95, usercpu_time_millis_testing: 22.911, usercpu_time_millis_training: 3231.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6817, kappa: 0.3585, kb_relative_information_score: 611.5019, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.686, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9482, scimark_benchmark: 1820.7099, usercpu_time_millis: 4196.482, usercpu_time_millis_testing: 19.105, usercpu_time_millis_training: 4177.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6895, kappa: 0.3756, kb_relative_information_score: 517.1418, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6981, predictive_accuracy: 0.6953, prior_entropy: 0.9948, recall: 0.6953, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9431, scimark_benchmark: 1830.1486, usercpu_time_millis: 3440.705, usercpu_time_millis_testing: 22.87, usercpu_time_millis_training: 3417.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6802, kappa: 0.3555, kb_relative_information_score: 614.106, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6848, predictive_accuracy: 0.6844, prior_entropy: 0.9948, recall: 0.6844, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9488, scimark_benchmark: 1799.5931, usercpu_time_millis: 4708.182, usercpu_time_millis_testing: 23.456, usercpu_time_millis_training: 4684.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6762, kappa: 0.3476, kb_relative_information_score: 614.0425, mean_absolute_error: 0.4245, 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: 0.8552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1837.1638, usercpu_time_millis: 4411.627, usercpu_time_millis_testing: 19.727, usercpu_time_millis_training: 4391.9,
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: 0.7531, 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: 0.7208, f_measure: 0.686, kappa: 0.3677, kb_relative_information_score: 544.1085, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6921, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9446, scimark_benchmark: 1748.3212, usercpu_time_millis: 3078.069, usercpu_time_millis_testing: 16.804, usercpu_time_millis_training: 3061.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6764, kappa: 0.348, kb_relative_information_score: 604.1384, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6814, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9499, scimark_benchmark: 1827.2523, usercpu_time_millis: 3991.091, usercpu_time_millis_testing: 16.016, usercpu_time_millis_training: 3975.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7026, kappa: 0.4017, kb_relative_information_score: 550.6517, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7109, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9311, scimark_benchmark: 1850.5112, usercpu_time_millis: 2018.233, usercpu_time_millis_testing: 14.409, usercpu_time_millis_training: 2003.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7026, kappa: 0.4013, kb_relative_information_score: 564.5316, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9313, scimark_benchmark: 1834.57, usercpu_time_millis: 2168.551, usercpu_time_millis_testing: 15.046, usercpu_time_millis_training: 2153.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6766, kappa: 0.3484, kb_relative_information_score: 607.1875, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1841.8649, usercpu_time_millis: 3827.328, usercpu_time_millis_testing: 12.863, usercpu_time_millis_training: 3814.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.6972, kappa: 0.3908, kb_relative_information_score: 535.9297, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7052, predictive_accuracy: 0.7025, prior_entropy: 0.9948, recall: 0.7025, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.935, scimark_benchmark: 1844.7474, usercpu_time_millis: 2193.661, usercpu_time_millis_testing: 14.654, usercpu_time_millis_training: 2179.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6776, kappa: 0.3504, kb_relative_information_score: 605.6176, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6824, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1840.2451, usercpu_time_millis: 3907.422, usercpu_time_millis_testing: 14.301, usercpu_time_millis_training: 3893.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7144, kappa: 0.4248, kb_relative_information_score: 601.6571, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7207, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1846.3057, usercpu_time_millis: 1623.446, usercpu_time_millis_testing: 14.724, usercpu_time_millis_training: 1608.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6886, kappa: 0.3736, kb_relative_information_score: 520.8356, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6968, predictive_accuracy: 0.6942, prior_entropy: 0.9948, recall: 0.6942, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9433, scimark_benchmark: 1844.9675, usercpu_time_millis: 2684.808, usercpu_time_millis_testing: 14.915, usercpu_time_millis_training: 2669.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7559, kappa: 0.5076, kb_relative_information_score: 1123.3247, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1858.1494, usercpu_time_millis: 1144.874, usercpu_time_millis_testing: 17.658, usercpu_time_millis_training: 1127.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7035, kappa: 0.4034, kb_relative_information_score: 563.7925, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7117, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9278, scimark_benchmark: 1798.6289, usercpu_time_millis: 2007.1, usercpu_time_millis_testing: 15.893, usercpu_time_millis_training: 1991.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6849, kappa: 0.3653, kb_relative_information_score: 554.6291, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6904, predictive_accuracy: 0.6894, prior_entropy: 0.9948, recall: 0.6894, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9463, scimark_benchmark: 1813.591, usercpu_time_millis: 3198.042, usercpu_time_millis_testing: 17.552, usercpu_time_millis_training: 3180.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7064, kappa: 0.4088, kb_relative_information_score: 575.283, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7136, predictive_accuracy: 0.711, prior_entropy: 0.9948, recall: 0.711, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9261, scimark_benchmark: 1741.2908, usercpu_time_millis: 2083.588, usercpu_time_millis_testing: 18.704, usercpu_time_millis_training: 2064.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.71, kappa: 0.4161, kb_relative_information_score: 599.0688, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9219, scimark_benchmark: 1842.1399, usercpu_time_millis: 1627.021, usercpu_time_millis_testing: 14.461, usercpu_time_millis_training: 1612.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6778, kappa: 0.3507, kb_relative_information_score: 603.2597, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6822, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9499, scimark_benchmark: 1835.5637, usercpu_time_millis: 3842.289, usercpu_time_millis_testing: 14.025, usercpu_time_millis_training: 3828.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7052, kappa: 0.4065, kb_relative_information_score: 572.8694, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7126, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271, scimark_benchmark: 1857.1082, usercpu_time_millis: 1790.421, usercpu_time_millis_testing: 14.102, usercpu_time_millis_training: 1776.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6778, kappa: 0.3509, kb_relative_information_score: 597.8238, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6827, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9502, scimark_benchmark: 1807.436, usercpu_time_millis: 3822.921, usercpu_time_millis_testing: 13.617, usercpu_time_millis_training: 3809.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6908, kappa: 0.3776, kb_relative_information_score: 536.0474, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6978, predictive_accuracy: 0.6958, prior_entropy: 0.9948, recall: 0.6958, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9427, scimark_benchmark: 1701.0004, usercpu_time_millis: 3084.417, usercpu_time_millis_testing: 18.334, usercpu_time_millis_training: 3066.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6851, kappa: 0.3657, kb_relative_information_score: 543.5328, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6908, predictive_accuracy: 0.6897, prior_entropy: 0.9948, recall: 0.6897, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9457, scimark_benchmark: 1826.3575, usercpu_time_millis: 3047.947, usercpu_time_millis_testing: 15.967, usercpu_time_millis_training: 3031.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6931, kappa: 0.3827, kb_relative_information_score: 519.9411, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7018, predictive_accuracy: 0.6987, prior_entropy: 0.9948, recall: 0.6987, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9419, scimark_benchmark: 1813.4363, usercpu_time_millis: 2640.753, usercpu_time_millis_testing: 16.092, usercpu_time_millis_training: 2624.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6798, kappa: 0.3547, kb_relative_information_score: 610.6597, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6841, predictive_accuracy: 0.6838, prior_entropy: 0.9948, recall: 0.6838, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9487, scimark_benchmark: 1848.7121, usercpu_time_millis: 3798.175, usercpu_time_millis_testing: 13.703, usercpu_time_millis_training: 3784.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7022, kappa: 0.4005, kb_relative_information_score: 545.4251, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7095, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9321, scimark_benchmark: 1836.2249, usercpu_time_millis: 2175.307, usercpu_time_millis_testing: 15.487, usercpu_time_millis_training: 2159.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7007, kappa: 0.3978, kb_relative_information_score: 542.001, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.709, predictive_accuracy: 0.7059, prior_entropy: 0.9948, recall: 0.7059, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1842.1882, usercpu_time_millis: 2211.534, usercpu_time_millis_testing: 15.333, usercpu_time_millis_training: 2196.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6906, kappa: 0.3774, kb_relative_information_score: 532.25, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.698, predictive_accuracy: 0.6958, prior_entropy: 0.9948, recall: 0.6958, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9427, scimark_benchmark: 1743.0075, usercpu_time_millis: 2708.906, usercpu_time_millis_testing: 13.94, usercpu_time_millis_training: 2694.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.675, kappa: 0.3453, kb_relative_information_score: 609.3028, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.68, predictive_accuracy: 0.6796, prior_entropy: 0.9948, recall: 0.6796, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9497, scimark_benchmark: 1830.6487, usercpu_time_millis: 3866.621, usercpu_time_millis_testing: 14.331, usercpu_time_millis_training: 3852.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6916, kappa: 0.3794, kb_relative_information_score: 530.8691, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6993, predictive_accuracy: 0.6969, prior_entropy: 0.9948, recall: 0.6969, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9424, scimark_benchmark: 1955.0349, usercpu_time_millis: 2613.839, usercpu_time_millis_testing: 13.984, usercpu_time_millis_training: 2599.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6791, kappa: 0.3535, kb_relative_information_score: 599.7764, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6842, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, scimark_benchmark: 1825.6369, usercpu_time_millis: 3842.093, usercpu_time_millis_testing: 15.444, usercpu_time_millis_training: 3826.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6937, kappa: 0.3842, kb_relative_information_score: 516.378, mean_absolute_error: 0.439, 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: 0.8843, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385, scimark_benchmark: 1813.8222, usercpu_time_millis: 2332.969, usercpu_time_millis_testing: 14.918, usercpu_time_millis_training: 2318.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.6876, kappa: 0.3718, kb_relative_information_score: 525.3492, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6962, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9437, scimark_benchmark: 1822.5582, usercpu_time_millis: 2699.782, usercpu_time_millis_testing: 14.47, usercpu_time_millis_training: 2685.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6803, kappa: 0.3558, kb_relative_information_score: 606.9407, mean_absolute_error: 0.4255, 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: 0.8571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1841.8649, usercpu_time_millis: 3801.066, usercpu_time_millis_testing: 12.888, usercpu_time_millis_training: 3788.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6783, kappa: 0.3518, kb_relative_information_score: 598.3127, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9498, scimark_benchmark: 1706.0335, usercpu_time_millis: 4131.171, usercpu_time_millis_testing: 15.062, usercpu_time_millis_training: 4116.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.6959, kappa: 0.3879, kb_relative_information_score: 540.764, mean_absolute_error: 0.4361, 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: 0.8785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9356, scimark_benchmark: 1738.8789, usercpu_time_millis: 2302.301, usercpu_time_millis_testing: 14.757, usercpu_time_millis_training: 2287.544,

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