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: 0.818, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1046.6174, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.841, scimark_benchmark: 1842.3843, usercpu_time_millis: 296.388, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 294.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 931.6865, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8417, scimark_benchmark: 1854.4951, usercpu_time_millis: 8.133, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 7.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 1098.2364, mean_absolute_error: 0.3706, 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: 0.7464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8169, scimark_benchmark: 2049.3862, usercpu_time_millis: 36.709, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 34.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1694, 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: 2047.2305, usercpu_time_millis: 7.064, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 5.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 927.1438, mean_absolute_error: 0.3931, 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: 0.7919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1855.6669, usercpu_time_millis: 198.319, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 196.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0848, 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: 1842.8383, usercpu_time_millis: 8.598, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 7.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 977.0977, mean_absolute_error: 0.3864, 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: 0.7784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1841.1522, usercpu_time_millis: 302.145, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 300.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0762, 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: 1839.2774, usercpu_time_millis: 8.265, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 7.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1959, 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: 1902.2758, usercpu_time_millis: 3.995, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 3.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1111, 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: 1837.7222, usercpu_time_millis: 7.301, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 6.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 927.0404, mean_absolute_error: 0.3931, 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: 0.7919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1837.0722, usercpu_time_millis: 15.589, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 14.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.736, kappa: 0.4688, kb_relative_information_score: 663.4916, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8921, scimark_benchmark: 1853.3841, usercpu_time_millis: 24.137, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 23.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7479, kappa: 0.4915, kb_relative_information_score: 837.5725, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8611, scimark_benchmark: 1848.7762, usercpu_time_millis: 80.256, usercpu_time_millis_testing: 2.387, usercpu_time_millis_training: 77.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1177, 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: 1850.9652, usercpu_time_millis: 9.677, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 8.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7579, kappa: 0.5115, kb_relative_information_score: 1241.4008, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8257, scimark_benchmark: 1838.622, usercpu_time_millis: 15.032, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 14.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1248, 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: 1840.3875, usercpu_time_millis: 5.11, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 4.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7573, kappa: 0.5106, kb_relative_information_score: 930.7086, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8473, scimark_benchmark: 1833.1413, usercpu_time_millis: 68.099, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 66.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0816, 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: 1844.2676, usercpu_time_millis: 8.241, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 6.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.716, kappa: 0.4269, kb_relative_information_score: 604.7354, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7178, predictive_accuracy: 0.7179, prior_entropy: 0.9948, recall: 0.7179, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8948, scimark_benchmark: 1835.2001, usercpu_time_millis: 21.801, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 19.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7561, kappa: 0.5083, kb_relative_information_score: 1200.3743, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1835.6541, usercpu_time_millis: 386.011, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 384.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7662, kappa: 0.5281, kb_relative_information_score: 1171.7621, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.821, scimark_benchmark: 1846.6923, usercpu_time_millis: 97.298, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 96.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 896.4237, mean_absolute_error: 0.3971, 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: 0.8, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8705, scimark_benchmark: 1845.3146, usercpu_time_millis: 191.353, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 190.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7694, kappa: 0.5346, kb_relative_information_score: 1130.9277, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8217, scimark_benchmark: 1857.1082, usercpu_time_millis: 39.728, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 38.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.751, kappa: 0.4974, kb_relative_information_score: 884.8512, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.856, scimark_benchmark: 1826.2385, usercpu_time_millis: 152.621, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 150.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 914.2494, mean_absolute_error: 0.3948, 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: 0.7954, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, scimark_benchmark: 1844.9447, usercpu_time_millis: 238.428, usercpu_time_millis_testing: 1.54, usercpu_time_millis_training: 236.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7859, kappa: 0.568, kb_relative_information_score: 1417.5618, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7863, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898, scimark_benchmark: 1835.2001, usercpu_time_millis: 68.663, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 67.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0203, 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: 1838.2468, usercpu_time_millis: 7.48, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 6.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 963.1721, 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: 0.4388, root_relative_squared_error: 0.8807, scimark_benchmark: 2032.8771, usercpu_time_millis: 196.79, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 195.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7907, kappa: 0.5779, kb_relative_information_score: 1526.3184, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1896.9574, usercpu_time_millis: 2341.791, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 2340.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0982, 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: 1898.6685, usercpu_time_millis: 6.021, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 5.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1712.65, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471, scimark_benchmark: 1735.1328, usercpu_time_millis: 755.62, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 753.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7614, kappa: 0.5186, kb_relative_information_score: 1206.2482, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8235, scimark_benchmark: 1738.7921, usercpu_time_millis: 837.605, usercpu_time_millis_testing: 2.12, usercpu_time_millis_training: 835.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1607.916, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7608, scimark_benchmark: 1732.0988, usercpu_time_millis: 1277.761, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 1276.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8048, kappa: 0.6062, kb_relative_information_score: 1566.6824, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621, scimark_benchmark: 1733.9326, usercpu_time_millis: 1326.91, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 1325.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7956, kappa: 0.5877, kb_relative_information_score: 1501.0244, mean_absolute_error: 0.3149, 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: 0.6344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7779, scimark_benchmark: 1850.2875, usercpu_time_millis: 2685.038, usercpu_time_millis_testing: 2.754, usercpu_time_millis_training: 2682.284,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7291, kappa: 0.4534, kb_relative_information_score: 697.504, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7294, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8833, scimark_benchmark: 1729.3908, usercpu_time_millis: 31.302, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 30.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 765.9958, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8833, scimark_benchmark: 1735.7557, usercpu_time_millis: 53.35, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 52.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.783, kappa: 0.5623, kb_relative_information_score: 1127.5876, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8134, scimark_benchmark: 1733.4704, usercpu_time_millis: 84.94, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 82.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7836, kappa: 0.5634, kb_relative_information_score: 1270.2373, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8034, scimark_benchmark: 1732.8983, usercpu_time_millis: 107.597, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 106.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7976, kappa: 0.5918, kb_relative_information_score: 1286.1172, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7891, scimark_benchmark: 1733.7613, usercpu_time_millis: 117.299, usercpu_time_millis_testing: 2.053, usercpu_time_millis_training: 115.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7569, kappa: 0.5094, kb_relative_information_score: 1190.1486, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8271, scimark_benchmark: 1849.4321, usercpu_time_millis: 136.013, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 135.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1467.7122, mean_absolute_error: 0.3205, 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: 0.6455, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 1738.3274, usercpu_time_millis: 201.151, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 199.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 970.7809, mean_absolute_error: 0.3873, 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: 0.7802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 1848.321, usercpu_time_millis: 329.437, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 328.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1387.4765, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7754, scimark_benchmark: 1853.454, usercpu_time_millis: 396.029, usercpu_time_millis_testing: 3.379, usercpu_time_millis_training: 392.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.016, 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: 1833.1288, usercpu_time_millis: 7.285, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 6.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0306, 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: 1825.1897, usercpu_time_millis: 7.104, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 6.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1158, 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: 1830.7134, usercpu_time_millis: 9.154, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 7.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7369, kappa: 0.4691, kb_relative_information_score: 731.3073, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8748, scimark_benchmark: 1829.1442, usercpu_time_millis: 30.043, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 28.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7372, kappa: 0.4717, kb_relative_information_score: 848.5769, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8722, scimark_benchmark: 1735.1328, usercpu_time_millis: 65.142, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 64.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 817.2816, mean_absolute_error: 0.4072, 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: 0.8203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8799, scimark_benchmark: 1742.8159, usercpu_time_millis: 224.644, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 223.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8072, kappa: 0.6111, kb_relative_information_score: 1441.9549, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7699, scimark_benchmark: 1855.0232, usercpu_time_millis: 448.168, usercpu_time_millis_testing: 3.52, usercpu_time_millis_training: 444.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7495, kappa: 0.4948, kb_relative_information_score: 1209.3983, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8414, scimark_benchmark: 1825.1897, usercpu_time_millis: 504.887, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 503.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7582, kappa: 0.5122, kb_relative_information_score: 1280.8657, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1847.2233, usercpu_time_millis: 624.604, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 623.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1587.0121, mean_absolute_error: 0.3034, 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: 0.6111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1846.89, usercpu_time_millis: 2030.433, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 2028.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1600.1122, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7576, scimark_benchmark: 1850.8706, usercpu_time_millis: 3535.684, usercpu_time_millis_testing: 4.282, usercpu_time_millis_training: 3531.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7867, kappa: 0.5696, kb_relative_information_score: 1488.9272, mean_absolute_error: 0.3158, 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: 0.6362, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1739.1321, usercpu_time_millis: 5090.975, usercpu_time_millis_testing: 2.226, usercpu_time_millis_training: 5088.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3813, kb_relative_information_score: -0.694, mean_absolute_error: 0.4965, 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: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1741.9506, usercpu_time_millis: 5.087, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 971.1455, mean_absolute_error: 0.3872, 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: 0.7801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1738.7314, usercpu_time_millis: 24.466, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 23.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7598, kappa: 0.5158, kb_relative_information_score: 930.8944, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475, scimark_benchmark: 1847.8034, usercpu_time_millis: 34.122, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 32.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7964, kappa: 0.5892, kb_relative_information_score: 1307.6297, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7967, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 1855.4813, usercpu_time_millis: 205.12, usercpu_time_millis_testing: 2.791, usercpu_time_millis_training: 202.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7895, kappa: 0.5755, kb_relative_information_score: 1171.3933, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1857.5664, usercpu_time_millis: 423.733, usercpu_time_millis_testing: 4.019, usercpu_time_millis_training: 419.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7804, kappa: 0.5571, kb_relative_information_score: 1338.3149, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8017, scimark_benchmark: 1737.3598, usercpu_time_millis: 575.377, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 573.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7904, kappa: 0.5775, kb_relative_information_score: 1792.3508, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7834, scimark_benchmark: 1828.2308, usercpu_time_millis: 779.751, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 778.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7915, kappa: 0.5795, kb_relative_information_score: 1414.0392, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7919, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1830.7134, usercpu_time_millis: 876.24, usercpu_time_millis_testing: 3.073, usercpu_time_millis_training: 873.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1622.3786, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7568, scimark_benchmark: 1826.2487, usercpu_time_millis: 1253.578, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 1251.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 1576.4652, mean_absolute_error: 0.3052, 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: 0.6148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7633, scimark_benchmark: 1856.5802, usercpu_time_millis: 1474.155, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 1472.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7996, kappa: 0.5959, kb_relative_information_score: 1645.8928, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7634, scimark_benchmark: 1736.1313, usercpu_time_millis: 1604.918, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 1603.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8055, kappa: 0.6077, kb_relative_information_score: 1633.9079, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7536, scimark_benchmark: 1830.2552, usercpu_time_millis: 2262.424, usercpu_time_millis_testing: 2.842, usercpu_time_millis_training: 2259.582,

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