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: 0.7971, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 883.4951, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1852.4008, usercpu_time_millis: 145.205, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 143.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7599, kappa: 0.5156, kb_relative_information_score: 1175.8509, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7633, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8288, scimark_benchmark: 1852.9259, usercpu_time_millis: 113.004, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 112.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.792, kappa: 0.5804, kb_relative_information_score: 1517.1262, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7799, scimark_benchmark: 1853.3841, usercpu_time_millis: 102.035, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 101.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7611, kappa: 0.5179, kb_relative_information_score: 1254.6725, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1846.1643, usercpu_time_millis: 127.399, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 126.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7778, kappa: 0.5517, kb_relative_information_score: 1201.2855, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1852.3337, usercpu_time_millis: 94.952, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 93.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 774.3276, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8815, scimark_benchmark: 1846.6923, usercpu_time_millis: 113.142, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 111.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7499, kappa: 0.4956, kb_relative_information_score: 885.3466, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.75, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8548, scimark_benchmark: 1839.1303, usercpu_time_millis: 38.46, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 37.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7374, kappa: 0.4717, kb_relative_information_score: 753.5448, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1837.6889, usercpu_time_millis: 95.579, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 94.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7564, kappa: 0.5086, kb_relative_information_score: 1233.2292, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8248, scimark_benchmark: 1853.7124, usercpu_time_millis: 93.665, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 92.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1180.6414, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8066, scimark_benchmark: 1849.4321, usercpu_time_millis: 118.716, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 116.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.6913, kappa: 0.3778, kb_relative_information_score: 468.1925, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6955, predictive_accuracy: 0.695, prior_entropy: 0.9948, recall: 0.695, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9183, scimark_benchmark: 1818.4874, usercpu_time_millis: 30.531, usercpu_time_millis_testing: 2.41, usercpu_time_millis_training: 28.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 963.3702, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8777, scimark_benchmark: 1807.4271, usercpu_time_millis: 119.339, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 118.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7304, kappa: 0.4561, kb_relative_information_score: 712.7806, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7307, predictive_accuracy: 0.7313, prior_entropy: 0.9948, recall: 0.7313, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8779, scimark_benchmark: 1814.613, usercpu_time_millis: 15.739, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 14.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8016, kappa: 0.6, kb_relative_information_score: 1482.7828, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7727, scimark_benchmark: 1830.7862, usercpu_time_millis: 112.709, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 111.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.754, kappa: 0.5036, kb_relative_information_score: 915.7247, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8518, scimark_benchmark: 1850.2875, usercpu_time_millis: 83.42, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 81.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.003, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1812.2788, usercpu_time_millis: 7.866, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 6.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0177, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.5885, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 5.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7781, kappa: 0.5523, kb_relative_information_score: 1281.373, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1850.5112, usercpu_time_millis: 57.57, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 56.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7697, kappa: 0.5354, kb_relative_information_score: 1303.6326, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7699, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1850.0581, usercpu_time_millis: 56.727, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 55.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 513.9819, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7502, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9113, scimark_benchmark: 1853.5818, usercpu_time_millis: 54.705, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 53.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 999.0456, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8615, scimark_benchmark: 1821.8602, usercpu_time_millis: 63.661, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 62.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7369, kappa: 0.4711, kb_relative_information_score: 690.166, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892, scimark_benchmark: 1841.1577, usercpu_time_millis: 87.737, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 86.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 788.9275, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8826, scimark_benchmark: 1827.7028, usercpu_time_millis: 76.605, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 75.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7355, kappa: 0.468, kb_relative_information_score: 673.4278, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7361, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8918, scimark_benchmark: 1845.3208, usercpu_time_millis: 61.808, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 60.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.724, kappa: 0.443, kb_relative_information_score: 525.2831, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7246, predictive_accuracy: 0.7251, prior_entropy: 0.9948, recall: 0.7251, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9096, scimark_benchmark: 1844.6953, usercpu_time_millis: 30.213, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 28.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7319, kappa: 0.459, kb_relative_information_score: 581.4773, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.732, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1838.1793, usercpu_time_millis: 60.58, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 58.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7853, kappa: 0.5669, kb_relative_information_score: 1381.4496, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1741.7855, usercpu_time_millis: 39.662, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 38.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8059, kappa: 0.6087, kb_relative_information_score: 1395.3011, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7731, scimark_benchmark: 1852.3877, usercpu_time_millis: 36.27, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 34.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0091, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1812.8618, usercpu_time_millis: 11.041, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 9.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1456, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 10.208, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 8.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 961.1488, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1853.3841, usercpu_time_millis: 13.952, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 13.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6618, kappa: 0.3235, kb_relative_information_score: 313.8232, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6774, predictive_accuracy: 0.6718, prior_entropy: 0.9948, recall: 0.6718, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9443, scimark_benchmark: 1832.1735, usercpu_time_millis: 13.306, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 11.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1831, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.9572, usercpu_time_millis: 4.747, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 4.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1292, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 7.595, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 6.413,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7602, kappa: 0.5163, kb_relative_information_score: 1095.0188, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8338, scimark_benchmark: 1823.771, usercpu_time_millis: 406.202, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 404.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7514, kappa: 0.4983, kb_relative_information_score: 1055.241, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8447, scimark_benchmark: 1810.7217, usercpu_time_millis: 374.872, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 373.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 977.8721, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1812.2788, usercpu_time_millis: 360.065, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 358.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7557, kappa: 0.5073, kb_relative_information_score: 955.3338, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7593, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485, scimark_benchmark: 1740.5431, usercpu_time_millis: 327.883, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 325.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 883.851, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1838.217, usercpu_time_millis: 251.63, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 250.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.752, kappa: 0.4996, kb_relative_information_score: 1002.9774, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7529, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475, scimark_benchmark: 1841.1577, usercpu_time_millis: 296.5, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 294.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7516, kappa: 0.4987, kb_relative_information_score: 1058.54, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8433, scimark_benchmark: 1852.5406, usercpu_time_millis: 291.678, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 290.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.758, kappa: 0.5118, kb_relative_information_score: 1089.3504, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7614, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8377, scimark_benchmark: 1853.9121, usercpu_time_millis: 269.641, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 268.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1075.1335, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8334, scimark_benchmark: 1830.2552, usercpu_time_millis: 240.012, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 238.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7525, kappa: 0.5008, kb_relative_information_score: 1174.1744, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8345, scimark_benchmark: 1745.4744, usercpu_time_millis: 217.009, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 216.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7614, kappa: 0.5185, kb_relative_information_score: 1186.1812, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1852.4008, usercpu_time_millis: 260.218, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 259.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7542, kappa: 0.5039, kb_relative_information_score: 959.1691, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8483, scimark_benchmark: 1852.3877, usercpu_time_millis: 205.508, usercpu_time_millis_testing: 1.894, usercpu_time_millis_training: 203.614,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7916, kappa: 0.5796, kb_relative_information_score: 1485.4331, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7823, scimark_benchmark: 1844.0458, usercpu_time_millis: 178.159, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 177.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7729, kappa: 0.5419, kb_relative_information_score: 1049.3918, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.829, scimark_benchmark: 1855.0232, usercpu_time_millis: 190.536, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 188.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7563, kappa: 0.5083, kb_relative_information_score: 914.3588, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.853, scimark_benchmark: 1849.408, usercpu_time_millis: 175.863, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 174.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.747, kappa: 0.4895, kb_relative_information_score: 848.681, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7483, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8607, scimark_benchmark: 1811.0844, usercpu_time_millis: 118.299, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 116.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7405, kappa: 0.4772, kb_relative_information_score: 796.8346, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7405, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8728, scimark_benchmark: 1847.7335, usercpu_time_millis: 118.839, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 117.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 979.9623, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8474, scimark_benchmark: 1855.0232, usercpu_time_millis: 92.198, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 91.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7599, kappa: 0.5159, kb_relative_information_score: 915.4218, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8481, scimark_benchmark: 1826.8288, usercpu_time_millis: 129.971, usercpu_time_millis_testing: 3.326, usercpu_time_millis_training: 126.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7387, kappa: 0.4735, kb_relative_information_score: 687.8999, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8868, scimark_benchmark: 1840.1288, usercpu_time_millis: 86.978, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 85.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7614, kappa: 0.5188, kb_relative_information_score: 920.6307, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8461, scimark_benchmark: 1830.2533, usercpu_time_millis: 71.16, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 68.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7501, kappa: 0.4957, kb_relative_information_score: 801.203, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7516, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8691, scimark_benchmark: 1839.0605, usercpu_time_millis: 94.129, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 92.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7696, kappa: 0.5353, kb_relative_information_score: 1011.8087, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7696, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8337, scimark_benchmark: 1842.598, usercpu_time_millis: 101.173, usercpu_time_millis_testing: 1.901, usercpu_time_millis_training: 99.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7944, kappa: 0.5853, kb_relative_information_score: 1186.8723, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8013, scimark_benchmark: 1821.8602, usercpu_time_millis: 73.638, usercpu_time_millis_testing: 3.488, usercpu_time_millis_training: 70.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7352, kappa: 0.4671, kb_relative_information_score: 595.7193, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1840.6995, usercpu_time_millis: 86.928, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 85.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8011, kappa: 0.599, kb_relative_information_score: 1333.3435, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7796, scimark_benchmark: 1808.526, usercpu_time_millis: 53.574, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 51.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7405, kappa: 0.4768, kb_relative_information_score: 648.8688, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7405, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8917, scimark_benchmark: 1847.8629, usercpu_time_millis: 90.503, usercpu_time_millis_testing: 1.315, usercpu_time_millis_training: 89.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8074, kappa: 0.6116, kb_relative_information_score: 1519.0945, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621, scimark_benchmark: 1809.5152, usercpu_time_millis: 62.573, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 61.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7366, kappa: 0.4699, kb_relative_information_score: 905.3402, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8609, scimark_benchmark: 1810.7718, usercpu_time_millis: 65.962, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 65.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7745, kappa: 0.5453, kb_relative_information_score: 1080.3771, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8256, scimark_benchmark: 1836.028, usercpu_time_millis: 44.569, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 43.105,

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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Download this task directly in your environment and automatically upload your results

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From your own software

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

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