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: 0.8778, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1425.6044, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1833.6579, usercpu_time_millis: 164.727, usercpu_time_millis_testing: 3.598, usercpu_time_millis_training: 161.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7439, kappa: 0.4835, kb_relative_information_score: 719.6093, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7439, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.882, scimark_benchmark: 1792.363, usercpu_time_millis: 120.966, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 119.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7564, kappa: 0.5087, kb_relative_information_score: 903.1407, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8514, scimark_benchmark: 1796.3155, usercpu_time_millis: 85.473, usercpu_time_millis_testing: 1.757, usercpu_time_millis_training: 83.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1651.8321, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7544, scimark_benchmark: 1844.6071, usercpu_time_millis: 4588.608, usercpu_time_millis_testing: 3.564, usercpu_time_millis_training: 4585.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1712.8966, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.75, scimark_benchmark: 1853.9121, usercpu_time_millis: 4494.428, usercpu_time_millis_testing: 3.872, usercpu_time_millis_training: 4490.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8091, kappa: 0.6152, kb_relative_information_score: 1727.8815, mean_absolute_error: 0.283, 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: 0.5702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7497, scimark_benchmark: 1736.5552, usercpu_time_millis: 4121.114, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 4118.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.791, kappa: 0.5784, kb_relative_information_score: 1482.9668, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7823, scimark_benchmark: 1856.0551, usercpu_time_millis: 3789.624, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 3785.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1701.3949, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1877.8658, usercpu_time_millis: 3643.429, usercpu_time_millis_testing: 3.037, usercpu_time_millis_training: 3640.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7811, kappa: 0.5584, kb_relative_information_score: 1479.6563, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7896, scimark_benchmark: 1849.408, usercpu_time_millis: 3402.099, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 3400.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1581.8484, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.76, scimark_benchmark: 2019.3731, usercpu_time_millis: 3231.338, usercpu_time_millis_testing: 3.745, usercpu_time_millis_training: 3227.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8019, kappa: 0.6006, kb_relative_information_score: 1771.896, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1808.525, usercpu_time_millis: 2688.569, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 2686.308,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7817, kappa: 0.5597, kb_relative_information_score: 1383.2522, mean_absolute_error: 0.3309, 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: 0.6665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7983, scimark_benchmark: 1816.1505, usercpu_time_millis: 1837.8, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 1834.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7961, kappa: 0.5886, kb_relative_information_score: 1563.068, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.768, scimark_benchmark: 1840.2451, usercpu_time_millis: 1741.36, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 1739.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7981, kappa: 0.5929, kb_relative_information_score: 1403.1884, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7815, scimark_benchmark: 1853.9144, usercpu_time_millis: 1614.118, usercpu_time_millis_testing: 3.942, usercpu_time_millis_training: 1610.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7979, kappa: 0.5925, kb_relative_information_score: 1420.1975, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7979, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7812, scimark_benchmark: 1804.3858, usercpu_time_millis: 1339.764, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 1335.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1405.2389, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 2017.7887, usercpu_time_millis: 908.314, usercpu_time_millis_testing: 3.15, usercpu_time_millis_training: 905.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7867, kappa: 0.5697, kb_relative_information_score: 1495.8982, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7871, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1733.299, usercpu_time_millis: 878.104, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 877.058,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8031, kappa: 0.6028, kb_relative_information_score: 1478.8347, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7679, scimark_benchmark: 1808.8479, usercpu_time_millis: 715.298, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 712.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8061, kappa: 0.609, kb_relative_information_score: 1515.6054, mean_absolute_error: 0.3141, 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: 0.6327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1806.3762, usercpu_time_millis: 581.398, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 579.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1490.5916, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7746, scimark_benchmark: 1832.643, usercpu_time_millis: 619.84, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 618.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7882, kappa: 0.5727, kb_relative_information_score: 1355.3262, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7901, scimark_benchmark: 1852.9259, usercpu_time_millis: 318.528, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 316.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 973.4293, mean_absolute_error: 0.3869, 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: 0.7795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1840.2451, usercpu_time_millis: 213.603, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 212.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7349, kappa: 0.4663, kb_relative_information_score: 607.8555, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8986, scimark_benchmark: 1839.7911, usercpu_time_millis: 133.887, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 132.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7687, kappa: 0.5336, kb_relative_information_score: 1307.8153, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1835.7111, usercpu_time_millis: 19.533, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 18.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1887, 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: 1792.387, usercpu_time_millis: 5.316, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 4.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.1166, 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: 1881.1782, usercpu_time_millis: 9.385, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 7.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1007, 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: 1837.6117, usercpu_time_millis: 4.31, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 3.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7967, kappa: 0.59, kb_relative_information_score: 1570.1776, mean_absolute_error: 0.3049, 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: 0.6141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7701, scimark_benchmark: 1844.7928, usercpu_time_millis: 7201.931, usercpu_time_millis_testing: 4.207, usercpu_time_millis_training: 7197.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.807, kappa: 0.6107, kb_relative_information_score: 1671.9087, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7558, scimark_benchmark: 1850.0015, usercpu_time_millis: 6181.914, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 6179.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7985, kappa: 0.5936, kb_relative_information_score: 1592.2236, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656, scimark_benchmark: 1852.9259, usercpu_time_millis: 4740.989, usercpu_time_millis_testing: 2.154, usercpu_time_millis_training: 4738.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.776, kappa: 0.5479, kb_relative_information_score: 1347.4277, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7775, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8069, scimark_benchmark: 1843.3864, usercpu_time_millis: 3842.504, usercpu_time_millis_testing: 2.292, usercpu_time_millis_training: 3840.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7864, kappa: 0.5691, kb_relative_information_score: 1553.9543, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1835.2001, usercpu_time_millis: 3312.628, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 3311.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8059, kappa: 0.6086, kb_relative_information_score: 1741.1465, mean_absolute_error: 0.2804, 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: 0.5648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7538, scimark_benchmark: 1839.7911, usercpu_time_millis: 2925.251, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 2923.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1429.2891, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904, scimark_benchmark: 1966.0105, usercpu_time_millis: 1905.077, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 1903.486,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1575.8562, mean_absolute_error: 0.3057, 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: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7592, scimark_benchmark: 1727.1069, usercpu_time_millis: 664.651, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 663.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7888, kappa: 0.574, kb_relative_information_score: 1477.4368, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1857.7853, usercpu_time_millis: 501.938, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 500.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7739, kappa: 0.5438, kb_relative_information_score: 1211.5537, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7751, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1845.7061, usercpu_time_millis: 254.333, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 252.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.78, kappa: 0.5561, kb_relative_information_score: 1278.0054, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8049, scimark_benchmark: 1876.2327, usercpu_time_millis: 204.674, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 203.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7541, kappa: 0.5039, kb_relative_information_score: 873.3813, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8558, scimark_benchmark: 1733.7613, usercpu_time_millis: 202.418, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 199.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1012.2839, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.418, root_relative_squared_error: 0.839, scimark_benchmark: 1732.0396, usercpu_time_millis: 7.539, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 6.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7776, kappa: 0.5513, kb_relative_information_score: 1317.182, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8, scimark_benchmark: 1850.4154, usercpu_time_millis: 140.658, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 139.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 739.6395, mean_absolute_error: 0.4167, 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: 0.8394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8853, scimark_benchmark: 1849.9051, usercpu_time_millis: 145.875, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 144.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 790.4761, mean_absolute_error: 0.4105, 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: 0.4393, root_relative_squared_error: 0.8818, scimark_benchmark: 1851.3287, usercpu_time_millis: 125.032, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 123.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 997.6888, mean_absolute_error: 0.3835, 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: 0.7726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8732, scimark_benchmark: 1849.7595, usercpu_time_millis: 96.506, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 95.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7358, kappa: 0.4685, kb_relative_information_score: 821.2446, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7363, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8729, scimark_benchmark: 1819.1565, usercpu_time_millis: 56.541, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 55.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0373, 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: 1869.766, usercpu_time_millis: 6.74, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 5.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7694, kappa: 0.5355, kb_relative_information_score: 1251.9262, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.408, root_relative_squared_error: 0.819, scimark_benchmark: 1819.2243, usercpu_time_millis: 7.349, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 6.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6294, kappa: 0.2787, kb_relative_information_score: 220.8113, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6807, predictive_accuracy: 0.6556, prior_entropy: 0.9948, recall: 0.6556, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.96, scimark_benchmark: 1858.2223, usercpu_time_millis: 6.831, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 6.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.2017, 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: 1734.2699, usercpu_time_millis: 8.098, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 6.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.01, 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: 1732.9618, usercpu_time_millis: 9.48, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 8.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8081, kappa: 0.613, kb_relative_information_score: 1683.4672, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8085, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1814.573, usercpu_time_millis: 8608.339, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 8605.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7945, kappa: 0.5855, kb_relative_information_score: 1544.7939, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 1826.2487, usercpu_time_millis: 8162.904, usercpu_time_millis_testing: 3.46, usercpu_time_millis_training: 8159.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8082, kappa: 0.6131, kb_relative_information_score: 1684.097, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1843.7091, usercpu_time_millis: 7490.164, usercpu_time_millis_testing: 2.894, usercpu_time_millis_training: 7487.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1560.3389, mean_absolute_error: 0.3059, 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: 0.6162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7743, scimark_benchmark: 1818.9456, usercpu_time_millis: 7075.541, usercpu_time_millis_testing: 3.377, usercpu_time_millis_training: 7072.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1584.3648, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627, scimark_benchmark: 1853.454, usercpu_time_millis: 2592.494, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 2590.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1553.5814, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7678, scimark_benchmark: 1815.141, usercpu_time_millis: 2548.896, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 2546.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1561.872, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1852.9259, usercpu_time_millis: 1958.741, usercpu_time_millis_testing: 2.955, usercpu_time_millis_training: 1955.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7816, kappa: 0.5593, kb_relative_information_score: 1320.6959, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 1851.0162, usercpu_time_millis: 1888.923, usercpu_time_millis_testing: 2.119, usercpu_time_millis_training: 1886.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8089, kappa: 0.6146, kb_relative_information_score: 1568.5517, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.756, scimark_benchmark: 1849.8294, usercpu_time_millis: 1622.988, usercpu_time_millis_testing: 4.872, usercpu_time_millis_training: 1618.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7676, kappa: 0.531, kb_relative_information_score: 1261.396, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.816, scimark_benchmark: 1857.5664, usercpu_time_millis: 1229.678, usercpu_time_millis_testing: 2.266, usercpu_time_millis_training: 1227.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7824, kappa: 0.561, kb_relative_information_score: 1396.5172, mean_absolute_error: 0.329, 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: 0.6628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7946, scimark_benchmark: 1811.7508, usercpu_time_millis: 1225.502, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 1223.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1466.2037, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1851.8567, usercpu_time_millis: 1166.917, usercpu_time_millis_testing: 5.118, usercpu_time_millis_training: 1161.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7952, kappa: 0.587, kb_relative_information_score: 1781.8626, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7698, scimark_benchmark: 1807.0751, usercpu_time_millis: 1137.757, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 1136.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7798, kappa: 0.5557, kb_relative_information_score: 1313.4293, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8066, scimark_benchmark: 1853.9121, usercpu_time_millis: 925.595, usercpu_time_millis_testing: 2.009, usercpu_time_millis_training: 923.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8012, kappa: 0.599, kb_relative_information_score: 1448.1673, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7735, scimark_benchmark: 1824.1606, usercpu_time_millis: 753.778, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 750.726,

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