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: 0.7427, f_measure: 0.7024, kappa: 0.4009, kb_relative_information_score: 552.1992, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.71, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9314, scimark_benchmark: 1827.4341, usercpu_time_millis: 1987.856, usercpu_time_millis_testing: 13.579, usercpu_time_millis_training: 1974.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7539, kappa: 0.5034, kb_relative_information_score: 1037.6529, mean_absolute_error: 0.3758, 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: 0.757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8624, scimark_benchmark: 1803.8238, usercpu_time_millis: 1944.555, usercpu_time_millis_testing: 28.886, usercpu_time_millis_training: 1915.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.765, kappa: 0.526, kb_relative_information_score: 1396.4834, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8128, scimark_benchmark: 1729.9663, usercpu_time_millis: 1531.99, usercpu_time_millis_testing: 24.203, usercpu_time_millis_training: 1507.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7591, kappa: 0.5139, kb_relative_information_score: 1123.4566, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8502, scimark_benchmark: 1734.0404, usercpu_time_millis: 1469.818, usercpu_time_millis_testing: 21.286, usercpu_time_millis_training: 1448.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6785, kappa: 0.3522, kb_relative_information_score: 609.5649, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6831, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1825.7906, usercpu_time_millis: 4581.833, usercpu_time_millis_testing: 21.78, usercpu_time_millis_training: 4560.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6789, kappa: 0.353, kb_relative_information_score: 606.4357, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493, scimark_benchmark: 1828.258, usercpu_time_millis: 4539.615, usercpu_time_millis_testing: 20.663, usercpu_time_millis_training: 4518.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6939, kappa: 0.3843, kb_relative_information_score: 527.1053, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7026, predictive_accuracy: 0.6995, prior_entropy: 0.9948, recall: 0.6995, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9376, scimark_benchmark: 1761.1166, usercpu_time_millis: 3784.828, usercpu_time_millis_testing: 31.115, usercpu_time_millis_training: 3753.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6871, kappa: 0.3692, kb_relative_information_score: 606.1392, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.691, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9467, scimark_benchmark: 1819.9868, usercpu_time_millis: 4119.968, usercpu_time_millis_testing: 21.434, usercpu_time_millis_training: 4098.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6939, kappa: 0.384, kb_relative_information_score: 524.2436, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9411, scimark_benchmark: 1791.5053, usercpu_time_millis: 3989.01, usercpu_time_millis_testing: 29.84, usercpu_time_millis_training: 3959.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6938, kappa: 0.3841, kb_relative_information_score: 524.5415, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7021, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9386, scimark_benchmark: 1712.59, usercpu_time_millis: 3044.797, usercpu_time_millis_testing: 20.532, usercpu_time_millis_training: 3024.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6979, kappa: 0.3922, kb_relative_information_score: 539.1923, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7063, predictive_accuracy: 0.7033, prior_entropy: 0.9948, recall: 0.7033, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.934, scimark_benchmark: 1831.9368, usercpu_time_millis: 2964.151, usercpu_time_millis_testing: 23.796, usercpu_time_millis_training: 2940.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6944, kappa: 0.3857, kb_relative_information_score: 526.9255, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.7003, prior_entropy: 0.9948, recall: 0.7003, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9356, scimark_benchmark: 1828.7746, usercpu_time_millis: 2781.981, usercpu_time_millis_testing: 20.375, usercpu_time_millis_training: 2761.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.694, kappa: 0.3847, kb_relative_information_score: 523.847, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7032, predictive_accuracy: 0.6998, prior_entropy: 0.9948, recall: 0.6998, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9388, scimark_benchmark: 1765.8191, usercpu_time_millis: 2754.316, usercpu_time_millis_testing: 18.571, usercpu_time_millis_training: 2735.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7021, kappa: 0.4005, kb_relative_information_score: 563.6375, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1818.9456, usercpu_time_millis: 2625.039, usercpu_time_millis_testing: 21.129, usercpu_time_millis_training: 2603.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7841, kappa: 0.565, kb_relative_information_score: 1467.4741, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7957, scimark_benchmark: 1820.0566, usercpu_time_millis: 2573.054, usercpu_time_millis_testing: 36.828, usercpu_time_millis_training: 2536.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7021, kappa: 0.4005, kb_relative_information_score: 539.4384, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9322, scimark_benchmark: 1708.6258, usercpu_time_millis: 2520.628, usercpu_time_millis_testing: 19.098, usercpu_time_millis_training: 2501.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7668, kappa: 0.53, kb_relative_information_score: 1266.1661, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8257, scimark_benchmark: 1748.9625, usercpu_time_millis: 2466.022, usercpu_time_millis_testing: 33.042, usercpu_time_millis_training: 2432.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.668, kappa: 0.3306, kb_relative_information_score: 777.1568, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6714, predictive_accuracy: 0.6718, prior_entropy: 0.9948, recall: 0.6718, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9038, scimark_benchmark: 1765.3372, usercpu_time_millis: 2399.906, usercpu_time_millis_testing: 37.906, usercpu_time_millis_training: 2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7276, kappa: 0.4509, kb_relative_information_score: 734.2131, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7323, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9028, scimark_benchmark: 1829.1442, usercpu_time_millis: 2340.783, usercpu_time_millis_testing: 29.075, usercpu_time_millis_training: 2311.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7358, kappa: 0.467, kb_relative_information_score: 798.9271, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8941, scimark_benchmark: 1825.2653, usercpu_time_millis: 2202.075, usercpu_time_millis_testing: 28.247, usercpu_time_millis_training: 2173.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7424, kappa: 0.4802, kb_relative_information_score: 898.1754, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8817, scimark_benchmark: 1823.9603, usercpu_time_millis: 1934.151, usercpu_time_millis_testing: 27.273, usercpu_time_millis_training: 1906.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7637, kappa: 0.5231, kb_relative_information_score: 1210.777, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7644, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1750.255, usercpu_time_millis: 1903.295, usercpu_time_millis_testing: 29.027, usercpu_time_millis_training: 1874.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7249, kappa: 0.4455, kb_relative_information_score: 700.5912, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7303, predictive_accuracy: 0.7283, prior_entropy: 0.9948, recall: 0.7283, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1774.704, usercpu_time_millis: 1795.826, usercpu_time_millis_testing: 19.373, usercpu_time_millis_training: 1776.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.7202, kappa: 0.4364, kb_relative_information_score: 671.6646, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7263, predictive_accuracy: 0.7241, prior_entropy: 0.9948, recall: 0.7241, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9112, scimark_benchmark: 1739.9247, usercpu_time_millis: 1661.504, usercpu_time_millis_testing: 17.717, usercpu_time_millis_training: 1643.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, 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: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1999.3454, usercpu_time_millis: 528.19, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 523.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, 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: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1979.3332, usercpu_time_millis: 528.79, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, 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: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1972.2221, usercpu_time_millis: 529.72, usercpu_time_millis_testing: 4.71, usercpu_time_millis_training: 525.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1456.8955, mean_absolute_error: 0.3229, 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: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1965.7854, usercpu_time_millis: 527.63, usercpu_time_millis_testing: 4.7, usercpu_time_millis_training: 522.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1970.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1994.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1963.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1973.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1967.4589, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1962.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, 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: 1972.908,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1837.0722, usercpu_time_millis: 84.817, usercpu_time_millis_testing: 84.266, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1846.6356, usercpu_time_millis: 85.691, usercpu_time_millis_testing: 85.14, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1835.2001, usercpu_time_millis: 85.898, usercpu_time_millis_testing: 85.344, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1832.0698, usercpu_time_millis: 86.533, usercpu_time_millis_testing: 85.966, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1845.7908, usercpu_time_millis: 84.505, usercpu_time_millis_testing: 83.935, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1812.4341, usercpu_time_millis: 141.886, usercpu_time_millis_testing: 141.047, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1835.5499, usercpu_time_millis: 82.743, usercpu_time_millis_testing: 82.198, usercpu_time_millis_training: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1797.1483, usercpu_time_millis: 140.509, usercpu_time_millis_testing: 139.699, usercpu_time_millis_training: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1843.8644, usercpu_time_millis: 83.087, usercpu_time_millis_testing: 82.562, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1839.1431, usercpu_time_millis: 80.468, usercpu_time_millis_testing: 79.912, usercpu_time_millis_training: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1851.8567, usercpu_time_millis: 80.269, usercpu_time_millis_testing: 79.705, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1853.3841, usercpu_time_millis: 76.242, usercpu_time_millis_testing: 75.672, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1082.9929, usercpu_time_millis: 246.628, usercpu_time_millis_testing: 245.207, usercpu_time_millis_training: 1.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1844.266, usercpu_time_millis: 73.366, usercpu_time_millis_testing: 72.838, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1843.2259, usercpu_time_millis: 72.999, usercpu_time_millis_testing: 72.453, usercpu_time_millis_training: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1814.73, usercpu_time_millis: 122.819, usercpu_time_millis_testing: 122.1, usercpu_time_millis_training: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1091.6826, usercpu_time_millis: 226.355, usercpu_time_millis_testing: 225.037, usercpu_time_millis_training: 1.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1836.1651, usercpu_time_millis: 117.731, usercpu_time_millis_testing: 117.136, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1721.4054, usercpu_time_millis: 107.537, usercpu_time_millis_testing: 106.922, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1088.892, usercpu_time_millis: 219.672, usercpu_time_millis_testing: 218.359, usercpu_time_millis_training: 1.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1726.5225, usercpu_time_millis: 105.987, usercpu_time_millis_testing: 105.381, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1844.1393, usercpu_time_millis: 106.433, usercpu_time_millis_testing: 105.864, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1728.8693, usercpu_time_millis: 103.458, usercpu_time_millis_testing: 102.846, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1842.6537, usercpu_time_millis: 105.09, usercpu_time_millis_testing: 104.512, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1725.8581, usercpu_time_millis: 103.165, usercpu_time_millis_testing: 102.594, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1836.6789, usercpu_time_millis: 106.373, usercpu_time_millis_testing: 105.756, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1846.7627, usercpu_time_millis: 105.515, usercpu_time_millis_testing: 104.937, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1853.454, usercpu_time_millis: 105.253, usercpu_time_millis_testing: 104.681, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1841.8022, usercpu_time_millis: 103.499, usercpu_time_millis_testing: 102.928, usercpu_time_millis_training: 0.571,

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