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: 0.8066, f_measure: 0.736, kappa: 0.4687, kb_relative_information_score: 960.5166, mean_absolute_error: 0.3888, 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: 0.7833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8564, scimark_benchmark: 1733.3606, usercpu_time_millis: 362.481, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 360.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7686, kappa: 0.5331, kb_relative_information_score: 1280.2724, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7697, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8156, scimark_benchmark: 1732.4272, usercpu_time_millis: 144.085, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 143.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7486, kappa: 0.4928, kb_relative_information_score: 705.0173, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7494, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8834, scimark_benchmark: 1820.8227, usercpu_time_millis: 117.552, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 115.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0082, 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: 1814.3767, usercpu_time_millis: 10.495, usercpu_time_millis_testing: 1.572, usercpu_time_millis_training: 8.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.3689, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1783.0684, usercpu_time_millis: 6.781, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 5.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0853, 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: 1837.1638, usercpu_time_millis: 9.798, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 8.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1925, 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: 1861.2508, usercpu_time_millis: 5.137, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 4.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7377, kappa: 0.4726, kb_relative_information_score: 1029.897, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8516, scimark_benchmark: 1851.8567, usercpu_time_millis: 330.54, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 328.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7938, kappa: 0.5841, kb_relative_information_score: 1248.3578, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7984, scimark_benchmark: 1810.0254, usercpu_time_millis: 118.264, usercpu_time_millis_testing: 1.638, usercpu_time_millis_training: 116.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7469, kappa: 0.4896, kb_relative_information_score: 1145.3417, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.842, scimark_benchmark: 1855.0232, usercpu_time_millis: 99.471, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 98.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7479, kappa: 0.4916, kb_relative_information_score: 435.7612, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9234, scimark_benchmark: 1799.2518, usercpu_time_millis: 50.513, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 48.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7154, kappa: 0.4262, kb_relative_information_score: 516.7486, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7194, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9076, scimark_benchmark: 1853.454, usercpu_time_millis: 28.715, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 25.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7354, kappa: 0.4668, kb_relative_information_score: 519.0079, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7353, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9121, scimark_benchmark: 1805.2569, usercpu_time_millis: 11.161, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 10.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, 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: 1805.2569, usercpu_time_millis: 9.825, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 8.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1133, 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: 1802.471, usercpu_time_millis: 9.102, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 7.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0377, 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: 1856.5802, usercpu_time_millis: 7.069, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 5.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1774, 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: 1802.471, usercpu_time_millis: 5.924, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 5.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.1086, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.2361, usercpu_time_millis: 4.329, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 3.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7575, kappa: 0.5107, kb_relative_information_score: 970.2604, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8432, scimark_benchmark: 1849.3014, usercpu_time_millis: 205.452, usercpu_time_millis_testing: 2.5, usercpu_time_millis_training: 202.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.4513, mean_absolute_error: 0.3878, 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: 0.7811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1855.4813, usercpu_time_millis: 201.796, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 200.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7369, kappa: 0.4707, kb_relative_information_score: 809.4414, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.874, scimark_benchmark: 1852.9259, usercpu_time_millis: 165.696, usercpu_time_millis_testing: 1.474, usercpu_time_millis_training: 164.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7536, kappa: 0.5028, kb_relative_information_score: 934.6066, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8502, scimark_benchmark: 1848.2682, usercpu_time_millis: 69.592, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 68.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 937.5794, mean_absolute_error: 0.3917, 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: 0.7891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1838.2986, usercpu_time_millis: 65.413, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 64.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7392, kappa: 0.4745, kb_relative_information_score: 671.4594, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7391, predictive_accuracy: 0.7393, prior_entropy: 0.9948, recall: 0.7393, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8895, scimark_benchmark: 1849.8294, usercpu_time_millis: 21.439, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 20.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.2513, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 5.654, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 4.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0297, 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: 1855.4813, usercpu_time_millis: 5.695, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 4.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0855, 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: 1852.0126, usercpu_time_millis: 7.435, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 6.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.084, 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: 1855.4813, usercpu_time_millis: 5.684, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 4.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3813, kb_relative_information_score: -0.0764, 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: 1851.3688, usercpu_time_millis: 4.973, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 4.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.2647, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.7313, usercpu_time_millis: 7.157, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 6.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7589, kappa: 0.5135, kb_relative_information_score: 1124.0293, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.762, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8313, scimark_benchmark: 1832.7956, usercpu_time_millis: 373.031, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 371.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.737, kappa: 0.4714, kb_relative_information_score: 1002.6092, mean_absolute_error: 0.3827, 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: 0.771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8666, scimark_benchmark: 1838.8304, usercpu_time_millis: 311.312, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 309.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7851, kappa: 0.5664, kb_relative_information_score: 1376.1669, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1841.3635, usercpu_time_millis: 27.937, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 27.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: -0.0253, 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: 1846.6923, usercpu_time_millis: 9.021, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 7.563,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0857, 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: 1844.149, usercpu_time_millis: 8.434, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 7.063,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7615, kappa: 0.5187, kb_relative_information_score: 1109.8117, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.831, scimark_benchmark: 1737.4053, usercpu_time_millis: 259.204, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 257.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7537, kappa: 0.503, kb_relative_information_score: 1134.6049, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8429, scimark_benchmark: 1843.2022, usercpu_time_millis: 256.582, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 255.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7602, kappa: 0.5162, kb_relative_information_score: 1256.7183, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.762, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1840.2451, usercpu_time_millis: 239.362, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 238.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 868.3436, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8718, scimark_benchmark: 1241.2395, usercpu_time_millis: 204.193, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 202.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.739, kappa: 0.4751, kb_relative_information_score: 1050.9472, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7397, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8477, scimark_benchmark: 1735.1328, usercpu_time_millis: 189.351, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 188.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7513, kappa: 0.4981, kb_relative_information_score: 862.6866, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7532, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8613, scimark_benchmark: 1735.5368, usercpu_time_millis: 109.576, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 108.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7317, kappa: 0.4589, kb_relative_information_score: 662.5574, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7318, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8894, scimark_benchmark: 1731.5618, usercpu_time_millis: 29.216, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 28.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0244, 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: 1145.9595, usercpu_time_millis: 12.552, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 10.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6507, kappa: 0.3049, kb_relative_information_score: 263.9747, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6726, predictive_accuracy: 0.6641, prior_entropy: 0.9948, recall: 0.6641, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9528, scimark_benchmark: 1763.4347, usercpu_time_millis: 19.663, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 17.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7813, kappa: 0.5594, kb_relative_information_score: 1450.8517, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7954, scimark_benchmark: 1735.9375, usercpu_time_millis: 11.094, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 10.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0025, 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: 1843.2259, usercpu_time_millis: 8.523, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 6.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7465, kappa: 0.4885, kb_relative_information_score: 750.1383, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8775, scimark_benchmark: 1249.874, usercpu_time_millis: 230.679, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 228.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1485.9801, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7925, scimark_benchmark: 1732.0988, usercpu_time_millis: 227.411, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 226.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7571, kappa: 0.5099, kb_relative_information_score: 1001.2753, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8402, scimark_benchmark: 1839.7911, usercpu_time_millis: 58.871, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 58.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7369, kappa: 0.4712, kb_relative_information_score: 954.2112, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8634, scimark_benchmark: 1728.0111, usercpu_time_millis: 51.526, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 50.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0361, 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: 1102.9333, usercpu_time_millis: 12.043, usercpu_time_millis_testing: 1.831, usercpu_time_millis_training: 10.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.756, 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: 1074.7305, usercpu_time_millis: 6.801, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 5.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1492, 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: 1481.8179, usercpu_time_millis: 9.127, usercpu_time_millis_testing: 1.552, usercpu_time_millis_training: 7.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1224, 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: 1846.4335, usercpu_time_millis: 8.682, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 7.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1056, 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: 1728.9285, usercpu_time_millis: 8.883, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 7.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 988.4614, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8587, scimark_benchmark: 1072.0817, usercpu_time_millis: 175.66, usercpu_time_millis_testing: 1.518, usercpu_time_millis_training: 174.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7591, kappa: 0.5139, kb_relative_information_score: 1211.9045, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1855.1417, usercpu_time_millis: 150.73, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 149.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1555.4542, mean_absolute_error: 0.3082, 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: 0.6209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1242.8529, usercpu_time_millis: 132.465, usercpu_time_millis_testing: 1.836, usercpu_time_millis_training: 130.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7221, kappa: 0.4394, kb_relative_information_score: 664.3328, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7224, predictive_accuracy: 0.723, prior_entropy: 0.9948, recall: 0.723, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8869, scimark_benchmark: 2151.9028, usercpu_time_millis: 25.329, usercpu_time_millis_testing: 1.88, usercpu_time_millis_training: 23.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7092, kappa: 0.4133, kb_relative_information_score: 408.1488, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7115, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9286, scimark_benchmark: 1094.8935, usercpu_time_millis: 18.715, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 17.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0801, 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: 1074.4417, usercpu_time_millis: 12.154, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 10.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.039, 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: 1725.3223, usercpu_time_millis: 8.956, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 7.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0534, 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: 1727.2167, usercpu_time_millis: 5.925, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 4.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7754, kappa: 0.547, kb_relative_information_score: 1066.8865, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7755, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1852.4707, usercpu_time_millis: 117.435, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 115.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7718, kappa: 0.5396, kb_relative_information_score: 1248.251, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7729, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8172, scimark_benchmark: 1852.4008, usercpu_time_millis: 99.049, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 98.197,

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