OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7534, kappa: 0.5025, kb_relative_information_score: 909.6877, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1852.9259, usercpu_time_millis: 188.891, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 187.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7383, kappa: 0.4733, kb_relative_information_score: 812.4431, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1849.7595, usercpu_time_millis: 89.202, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 87.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7478, kappa: 0.4911, kb_relative_information_score: 762.2668, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8753, scimark_benchmark: 1853.9121, usercpu_time_millis: 46.677, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 45.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7594, kappa: 0.5148, kb_relative_information_score: 945.9612, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8453, scimark_benchmark: 1841.1522, usercpu_time_millis: 27.61, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 26.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7702, kappa: 0.5366, kb_relative_information_score: 1407.6462, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7701, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1851.4874, usercpu_time_millis: 24.006, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 23.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.0064, 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: 1841.2811, usercpu_time_millis: 6.64, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 5.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0298, 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: 1841.6688, usercpu_time_millis: 7.908, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 6.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7371, kappa: 0.4712, kb_relative_information_score: 844.7134, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1758.0509, usercpu_time_millis: 219.279, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 217.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7497, kappa: 0.4951, kb_relative_information_score: 855.0172, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7497, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8636, scimark_benchmark: 1850.9652, usercpu_time_millis: 132.991, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 131.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.6789, kappa: 0.3546, kb_relative_information_score: 413.4627, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6876, predictive_accuracy: 0.6852, prior_entropy: 0.9948, recall: 0.6852, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9274, scimark_benchmark: 1847.8629, usercpu_time_millis: 13.506, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 12.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.2868, 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: 1730.674, usercpu_time_millis: 4.614, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7961, kappa: 0.5888, kb_relative_information_score: 1525.4787, mean_absolute_error: 0.3118, 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: 0.628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1842.2554, usercpu_time_millis: 102.453, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 101.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7539, kappa: 0.5035, kb_relative_information_score: 1033.34, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8409, scimark_benchmark: 1768.6952, usercpu_time_millis: 43.479, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 42.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7546, kappa: 0.5049, kb_relative_information_score: 961.9729, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7569, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8458, scimark_benchmark: 1735.1328, usercpu_time_millis: 75.224, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 74.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.1238, 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: 1732.8391, usercpu_time_millis: 10.079, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 8.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.775, mean_absolute_error: 0.3874, 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: 0.7804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1733.3606, usercpu_time_millis: 26.239, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 25.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7674, kappa: 0.5307, kb_relative_information_score: 1283.0761, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7687, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8141, scimark_benchmark: 1772.3615, usercpu_time_millis: 280.867, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 279.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7537, kappa: 0.5031, kb_relative_information_score: 1264.5651, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.41, root_relative_squared_error: 0.823, scimark_benchmark: 1780.2989, usercpu_time_millis: 267.627, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 266.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 900.7585, mean_absolute_error: 0.3966, 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: 0.7989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.871, scimark_benchmark: 1774.7606, usercpu_time_millis: 281.559, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 280.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 886.1211, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8702, scimark_benchmark: 1848.321, usercpu_time_millis: 275.852, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 274.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.4391, mean_absolute_error: 0.3881, 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: 0.7817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8662, scimark_benchmark: 1701.6947, usercpu_time_millis: 194.201, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 192.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 797.908, mean_absolute_error: 0.4095, 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: 0.8249, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1709.4907, usercpu_time_millis: 197.071, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 195.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 849.4943, mean_absolute_error: 0.4031, 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: 0.8121, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8744, scimark_benchmark: 1721.8563, usercpu_time_millis: 221.105, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 219.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 904.6192, mean_absolute_error: 0.396, 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: 0.7978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1859.1356, usercpu_time_millis: 183.104, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 181.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 855.6983, mean_absolute_error: 0.4023, 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: 0.8104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1847.9815, usercpu_time_millis: 214.592, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 213.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7378, kappa: 0.4736, kb_relative_information_score: 1126.0504, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7394, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8508, scimark_benchmark: 1844.8837, usercpu_time_millis: 204.41, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 203.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7509, kappa: 0.4973, kb_relative_information_score: 1023.3534, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8442, scimark_benchmark: 1841.1577, usercpu_time_millis: 177.83, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 176.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.748, kappa: 0.4919, kb_relative_information_score: 1193.6049, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8401, scimark_benchmark: 1859.1356, usercpu_time_millis: 184.917, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 183.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7491, kappa: 0.4937, kb_relative_information_score: 860.9245, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.751, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8602, scimark_benchmark: 1753.9833, usercpu_time_millis: 165.576, usercpu_time_millis_testing: 2.148, usercpu_time_millis_training: 163.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 947.0576, mean_absolute_error: 0.3905, 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: 0.7866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1764.9283, usercpu_time_millis: 138.833, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 137.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7469, kappa: 0.4893, kb_relative_information_score: 800.0123, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7484, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8679, scimark_benchmark: 1724.8648, usercpu_time_millis: 124.704, usercpu_time_millis_testing: 2.069, usercpu_time_millis_training: 122.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7395, kappa: 0.4753, kb_relative_information_score: 780.4307, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7395, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8746, scimark_benchmark: 1716.623, usercpu_time_millis: 142.804, usercpu_time_millis_testing: 2.146, usercpu_time_millis_training: 140.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7527, kappa: 0.5011, kb_relative_information_score: 931.1418, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8484, scimark_benchmark: 1857.5664, usercpu_time_millis: 110.011, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 107.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.772, kappa: 0.5401, kb_relative_information_score: 1136.4487, mean_absolute_error: 0.3649, 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: 0.735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8186, scimark_benchmark: 1760.2961, usercpu_time_millis: 128.479, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 126.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7422, kappa: 0.48, kb_relative_information_score: 651.1859, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7422, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8913, scimark_benchmark: 1726.065, usercpu_time_millis: 111.027, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 109.679,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7843, kappa: 0.5649, kb_relative_information_score: 1135.024, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.812, scimark_benchmark: 1856.5802, usercpu_time_millis: 25.24, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 23.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0593, 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: 1771.4761, usercpu_time_millis: 6.958, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 5.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.0549, 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: 1720.4927, usercpu_time_millis: 7.494, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 6.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7542, kappa: 0.504, kb_relative_information_score: 961.0084, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7556, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8459, scimark_benchmark: 1835.7111, usercpu_time_millis: 19.075, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 18.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7936, kappa: 0.5841, kb_relative_information_score: 1190.6884, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 1731.3365, usercpu_time_millis: 32.466, usercpu_time_millis_testing: 2.806, usercpu_time_millis_training: 29.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1355, 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: 1895.426, usercpu_time_millis: 7.965, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 6.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0227, 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: 1719.131, usercpu_time_millis: 9.867, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 8.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.112, 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: 1841.1577, usercpu_time_millis: 7.404, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 6.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0568, 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: 1839.1303, usercpu_time_millis: 7.524, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 6.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1762, 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: 1836.0792, usercpu_time_millis: 5.166, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 4.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 947.2057, mean_absolute_error: 0.3905, 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: 0.7866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8768, scimark_benchmark: 1846.3057, usercpu_time_millis: 16.841, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 16.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6894, kappa: 0.374, kb_relative_information_score: 407.8714, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6936, predictive_accuracy: 0.6931, prior_entropy: 0.9948, recall: 0.6931, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9288, scimark_benchmark: 1729.9318, usercpu_time_millis: 13.217, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 12.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0492, 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: 1826.8288, usercpu_time_millis: 7.036, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 5.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0467, 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: 785.5044, usercpu_time_millis: 20.053, usercpu_time_millis_testing: 2.58, usercpu_time_millis_training: 17.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0968, 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: 1855.0232, usercpu_time_millis: 9.844, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 8.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.6973, kappa: 0.3897, kb_relative_information_score: 508.474, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.701, predictive_accuracy: 0.7006, prior_entropy: 0.9948, recall: 0.7006, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9121, scimark_benchmark: 1834.2449, usercpu_time_millis: 8.454, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 7.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0523, 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: 1825.2596, usercpu_time_millis: 6.423, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 5.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.6737, kappa: 0.3437, kb_relative_information_score: 350.7697, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6796, prior_entropy: 0.9948, recall: 0.6796, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9382, scimark_benchmark: 785.5981, usercpu_time_millis: 17.023, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 15.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7117, kappa: 0.4182, kb_relative_information_score: 523.4335, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7122, predictive_accuracy: 0.7129, prior_entropy: 0.9948, recall: 0.7129, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9103, scimark_benchmark: 1839.7911, usercpu_time_millis: 14.558, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 13.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7815, kappa: 0.5592, kb_relative_information_score: 1330.4744, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7996, scimark_benchmark: 1730.2568, usercpu_time_millis: 19.117, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 18.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0871, 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: 1749.3271, usercpu_time_millis: 5.796, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 4.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.5076, 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: 1829.7478, usercpu_time_millis: 5.492, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 4.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.021, 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: 1839.3442, usercpu_time_millis: 8.975, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 7.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.7004, kappa: 0.3955, kb_relative_information_score: 490.0312, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7024, predictive_accuracy: 0.7027, prior_entropy: 0.9948, recall: 0.7027, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9156, scimark_benchmark: 1847.8629, usercpu_time_millis: 12.128, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 11.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.2163, 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: 1695.6407, usercpu_time_millis: 4.852, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 4.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.4693, 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: 1712.1622, usercpu_time_millis: 6.142, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 5.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.5816, 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: 1758.5617, usercpu_time_millis: 4.881, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 4.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1937, 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: 1848.9541, usercpu_time_millis: 5.254, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 4.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0183, 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: 1719.3282, usercpu_time_millis: 6.27, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 5.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0983, 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: 1847.5276, usercpu_time_millis: 7.638, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 6.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7513, kappa: 0.498, kb_relative_information_score: 1048.728, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8426, scimark_benchmark: 1700.4277, usercpu_time_millis: 455.876, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 453.98,

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