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: 0.7979, f_measure: 0.7321, kappa: 0.4605, kb_relative_information_score: 1653.3697, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9382, scimark_benchmark: 1724.0704, usercpu_time_millis: 430.831, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 430.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7584, kappa: 0.5128, kb_relative_information_score: 995.8276, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8437, scimark_benchmark: 1840.2451, usercpu_time_millis: 493.376, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 492.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7589, kappa: 0.5136, kb_relative_information_score: 1234.2127, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8294, scimark_benchmark: 1759.5099, usercpu_time_millis: 1248.556, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 1248.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7616, kappa: 0.519, kb_relative_information_score: 1126.7119, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8274, scimark_benchmark: 1804.432, usercpu_time_millis: 1266.577, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1266.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 1588.8899, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8188, scimark_benchmark: 1809.3302, usercpu_time_millis: 750.913, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 750.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.4749, kappa: 0.1, kb_relative_information_score: 7.3076, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7223, predictive_accuracy: 0.5841, prior_entropy: 0.9948, recall: 0.5841, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9952, scimark_benchmark: 1843.2649, usercpu_time_millis: 329.884, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 329.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.007, 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: 1744.849, usercpu_time_millis: 1534.022, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 1533.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 811.6968, mean_absolute_error: 0.4082, 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: 0.8222, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8845, scimark_benchmark: 1832.6275, usercpu_time_millis: 1044.008, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1043.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7675, kappa: 0.5309, kb_relative_information_score: 1118.4022, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8254, scimark_benchmark: 1785.2728, usercpu_time_millis: 383.866, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 383.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7428, kappa: 0.4816, kb_relative_information_score: 1638.0484, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7427, predictive_accuracy: 0.743, prior_entropy: 0.9948, recall: 0.743, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9111, scimark_benchmark: 1841.8649, usercpu_time_millis: 553.041, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 552.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7817, kappa: 0.5597, kb_relative_information_score: 1390.9549, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7893, scimark_benchmark: 1784.456, usercpu_time_millis: 1025.633, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 1023.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7459, kappa: 0.4875, kb_relative_information_score: 637.5606, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7458, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8912, scimark_benchmark: 1846.8212, usercpu_time_millis: 280.471, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 279.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7544, kappa: 0.5047, kb_relative_information_score: 1559.965, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8378, scimark_benchmark: 1843.2259, usercpu_time_millis: 478.894, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 478.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7688, kappa: 0.5336, kb_relative_information_score: 1256.0369, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8168, scimark_benchmark: 1804.3708, usercpu_time_millis: 1312.58, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1312.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0072, 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: 1834.0484, usercpu_time_millis: 1213.258, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1212.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8013, kappa: 0.5992, kb_relative_information_score: 1752.8552, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7523, scimark_benchmark: 1814.7578, usercpu_time_millis: 541.358, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 540.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7463, kappa: 0.4886, kb_relative_information_score: 1647.8638, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7462, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8963, scimark_benchmark: 1840.6373, usercpu_time_millis: 515.09, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 514.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7917, kappa: 0.5799, kb_relative_information_score: 1616.0782, mean_absolute_error: 0.2984, 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: 0.6011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1836.7415, usercpu_time_millis: 344.211, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 342.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 703.7501, mean_absolute_error: 0.4215, 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: 0.8491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8896, scimark_benchmark: 1832.6275, usercpu_time_millis: 769.788, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 769.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: -37.2499, mean_absolute_error: 0.4997, 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: 1.0066, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.003, scimark_benchmark: 1840.3077, usercpu_time_millis: 418.173, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 417.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7653, kappa: 0.5266, kb_relative_information_score: 1545.9196, mean_absolute_error: 0.3043, 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: 0.613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8168, scimark_benchmark: 1836.2249, usercpu_time_millis: 1476.013, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1475.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.757, kappa: 0.5097, kb_relative_information_score: 1223.5826, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8314, scimark_benchmark: 1807.8829, usercpu_time_millis: 1430.993, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1430.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7567, kappa: 0.5091, kb_relative_information_score: 1075.2257, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8341, scimark_benchmark: 1805.0857, usercpu_time_millis: 530.944, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 529.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 536.272, mean_absolute_error: 0.4413, 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: 0.8889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9129, scimark_benchmark: 1830.5698, usercpu_time_millis: 1037.453, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1037.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7958, kappa: 0.5881, kb_relative_information_score: 1882.076, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7958, predictive_accuracy: 0.7961, prior_entropy: 0.9948, recall: 0.7961, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.78, scimark_benchmark: 1892.2649, usercpu_time_millis: 1730.782, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 1729.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7691, kappa: 0.5342, kb_relative_information_score: 1251.0762, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7697, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8108, scimark_benchmark: 1881.5723, usercpu_time_millis: 1506.805, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 1505.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.765, kappa: 0.5258, kb_relative_information_score: 1497.6855, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 2103.7962, usercpu_time_millis: 1972.392, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1972.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1838.2579, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7409, scimark_benchmark: 1719.5862, usercpu_time_millis: 1335.465, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 1333.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7575, kappa: 0.511, kb_relative_information_score: 1069.2814, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8345, scimark_benchmark: 2124.3195, usercpu_time_millis: 493.247, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 492.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7967, kappa: 0.59, kb_relative_information_score: 1742.8273, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1845.5325, usercpu_time_millis: 3806.945, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 3805.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7673, kappa: 0.5306, kb_relative_information_score: 1603.5039, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7674, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8149, scimark_benchmark: 1841.7343, usercpu_time_millis: 457.051, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 456.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7589, kappa: 0.5135, kb_relative_information_score: 1240.6843, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1739.709, usercpu_time_millis: 2411.125, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2410.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2875, kb_relative_information_score: -40.5676, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.2095, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0036, scimark_benchmark: 1829.6744, usercpu_time_millis: 799.334, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 798.851,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.765, kappa: 0.5262, kb_relative_information_score: 1294.1084, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8157, scimark_benchmark: 1785.189, usercpu_time_millis: 945.061, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 944.202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7653, kappa: 0.5265, kb_relative_information_score: 1516.3079, mean_absolute_error: 0.3088, 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: 0.6221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8174, scimark_benchmark: 1835.0844, usercpu_time_millis: 1219.648, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1219.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7721, kappa: 0.5403, kb_relative_information_score: 1533.4955, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1787.0367, usercpu_time_millis: 2155.092, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 2154.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8067, kappa: 0.6103, kb_relative_information_score: 1756.7429, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1886.5735, usercpu_time_millis: 1849.226, usercpu_time_millis_testing: 1.588, usercpu_time_millis_training: 1847.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1493.916, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8168, scimark_benchmark: 1841.1522, usercpu_time_millis: 1391.6, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1391.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7518, kappa: 0.4995, kb_relative_information_score: 1601.3206, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1700.3998, usercpu_time_millis: 1513.483, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 1512.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8099, kappa: 0.6167, kb_relative_information_score: 1980.4927, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7438, scimark_benchmark: 1817.8981, usercpu_time_millis: 2966.413, usercpu_time_millis_testing: 4.758, usercpu_time_millis_training: 2961.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1778.9703, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1725.8551, usercpu_time_millis: 1618.512, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 1617.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7686, kappa: 0.5331, kb_relative_information_score: 1416.3244, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7692, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8159, scimark_benchmark: 1718.7337, usercpu_time_millis: 2763.922, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2763.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7624, kappa: 0.5206, kb_relative_information_score: 1524.9634, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1840.2451, usercpu_time_millis: 2522.724, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 2522.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 753.7568, mean_absolute_error: 0.4156, 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: 0.8371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8828, scimark_benchmark: 1836.6789, usercpu_time_millis: 1986.714, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 1986.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 589.5298, mean_absolute_error: 0.4352, 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: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9064, scimark_benchmark: 1692.2551, usercpu_time_millis: 1588.686, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 1588.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8068, kappa: 0.6105, kb_relative_information_score: 2097.1669, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7617, scimark_benchmark: 1843.7028, usercpu_time_millis: 1937.616, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 1935.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7449, kappa: 0.4852, kb_relative_information_score: 821.8607, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7461, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 1781.4956, usercpu_time_millis: 2166.356, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 2165.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1642.0215, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.763, scimark_benchmark: 1841.6904, usercpu_time_millis: 5438.664, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 5436.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7987, kappa: 0.5942, kb_relative_information_score: 2041.0675, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1841.7813, usercpu_time_millis: 1922.78, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 1922.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7588, kappa: 0.5134, kb_relative_information_score: 1146.1421, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8334, scimark_benchmark: 1824.1279, usercpu_time_millis: 3102.59, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 3101.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7824, kappa: 0.5611, kb_relative_information_score: 1350.86, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7828, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7997, scimark_benchmark: 1845.8506, usercpu_time_millis: 4368.107, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 4366.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7997, kappa: 0.5959, kb_relative_information_score: 1814.7438, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1726.3086, usercpu_time_millis: 3675.038, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 3674.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7806, kappa: 0.5573, kb_relative_information_score: 1337.1881, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8021, scimark_benchmark: 1834.1659, usercpu_time_millis: 4386.421, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 4385.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1936.2044, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7459, scimark_benchmark: 1719.1889, usercpu_time_millis: 5616.194, usercpu_time_millis_testing: 1.474, usercpu_time_millis_training: 5614.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7934, kappa: 0.5831, kb_relative_information_score: 1449.3224, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1745.0121, usercpu_time_millis: 3579.662, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 3578.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8032, kappa: 0.6032, kb_relative_information_score: 2113.9514, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1840.7617, usercpu_time_millis: 4855.561, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 4853.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.804, kappa: 0.6047, kb_relative_information_score: 2079.8424, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1810.3569, usercpu_time_millis: 3887.205, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 3885.794,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7793, kappa: 0.5548, kb_relative_information_score: 1320.7332, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1713.6083, usercpu_time_millis: 3132.581, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 3131.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8061, kappa: 0.609, kb_relative_information_score: 2147.6695, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7763, scimark_benchmark: 1853.9383, usercpu_time_millis: 8088.004, usercpu_time_millis_testing: 2.628, usercpu_time_millis_training: 8085.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 1943.4671, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7447, scimark_benchmark: 1736.0929, usercpu_time_millis: 6965.745, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 6963.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1812.8825, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.745, scimark_benchmark: 1826.9332, usercpu_time_millis: 6838.272, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 6836.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7831, kappa: 0.5624, kb_relative_information_score: 1308.7332, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 1847.4809, usercpu_time_millis: 5666.386, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 5664.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8035, kappa: 0.6037, kb_relative_information_score: 2014.6692, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1829.0949, usercpu_time_millis: 8294.052, usercpu_time_millis_testing: 2.117, usercpu_time_millis_training: 8291.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1949.5648, usercpu_time_millis: 73.635, usercpu_time_millis_testing: 73.096, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1857.5664, usercpu_time_millis: 79.51, usercpu_time_millis_testing: 78.95, usercpu_time_millis_training: 0.56,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs