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: 0.4988, 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: 1733.299, usercpu_time_millis: 2.894, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 2.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7708, kappa: 0.5376, kb_relative_information_score: 1583.0171, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1727.9093, usercpu_time_millis: 54.018, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 53.163,
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: 1842.1882, usercpu_time_millis: 2.689, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 2.229,
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: 1735.1328, usercpu_time_millis: 2.86, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 2.374,
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: 1734.6706, usercpu_time_millis: 2.898, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 2.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7378, kappa: 0.473, kb_relative_information_score: 905.0732, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7388, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8656, scimark_benchmark: 1756.7075, usercpu_time_millis: 2.935, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 2.433,
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: 1720.4927, usercpu_time_millis: 2.979, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 2.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 735.7308, mean_absolute_error: 0.4175, 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: 0.8409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8838, scimark_benchmark: 1699.0855, usercpu_time_millis: 2.971, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 2.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 664.89, mean_absolute_error: 0.4263, 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: 0.8587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.447, root_relative_squared_error: 0.8973, scimark_benchmark: 1815.8771, usercpu_time_millis: 3.285, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 2.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 729.4034, mean_absolute_error: 0.4183, 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: 0.8426, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8858, scimark_benchmark: 1736.0929, usercpu_time_millis: 2.929, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 2.426,
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: 1753.0271, usercpu_time_millis: 2.833, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 2.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7608, kappa: 0.5178, kb_relative_information_score: 1140.0125, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8306, scimark_benchmark: 1759.5909, usercpu_time_millis: 3.54, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 3.05,
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: 1719.131, usercpu_time_millis: 2.948, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 2.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7768, kappa: 0.5496, kb_relative_information_score: 1520.8565, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8019, scimark_benchmark: 1734.6706, usercpu_time_millis: 22.759, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 22.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7751, kappa: 0.5464, kb_relative_information_score: 1511.5474, mean_absolute_error: 0.3111, 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: 0.6266, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1714.3468, usercpu_time_millis: 27.372, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 26.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7764, kappa: 0.5489, kb_relative_information_score: 1533.9114, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7769, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8028, scimark_benchmark: 1730.591, usercpu_time_millis: 23.247, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 22.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7742, kappa: 0.5444, kb_relative_information_score: 1490.2155, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7744, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7989, scimark_benchmark: 1709.0171, usercpu_time_millis: 35.459, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 34.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7765, kappa: 0.5491, kb_relative_information_score: 1348.1573, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7769, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8031, scimark_benchmark: 1735.1328, usercpu_time_millis: 7.035, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 6.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7616, kappa: 0.5192, kb_relative_information_score: 1198.4773, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1013.0731, usercpu_time_millis: 6.984, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 5.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7621, kappa: 0.5202, kb_relative_information_score: 1209.551, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8258, scimark_benchmark: 1013.4289, usercpu_time_millis: 6.989, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 5.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7744, kappa: 0.5448, kb_relative_information_score: 1451.5017, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1692.7102, usercpu_time_millis: 12.282, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 11.739,
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: 993.221, usercpu_time_millis: 5.196, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 4.196,
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: 998.5063, usercpu_time_millis: 5.139, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 4.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7751, kappa: 0.5462, kb_relative_information_score: 1379.488, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7756, predictive_accuracy: 0.7758, prior_entropy: 0.9948, recall: 0.7758, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1735.1328, usercpu_time_millis: 11.044, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 10.544,
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: 724.8463, usercpu_time_millis: 4.78, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 4.061,
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: 740.2114, usercpu_time_millis: 4.913, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 4.175,
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: 1735.1328, usercpu_time_millis: 3.286, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 2.696,
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: 1734.7321, usercpu_time_millis: 3.348, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 2.735,
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: 1251.7999, usercpu_time_millis: 4.668, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 3.752,
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: 1064.6069, usercpu_time_millis: 4.945, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 3.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7762, kappa: 0.5485, kb_relative_information_score: 1527.4825, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8016, scimark_benchmark: 1694.9288, usercpu_time_millis: 28.599, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 27.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.3813, kb_relative_information_score: 113.1546, mean_absolute_error: 0.4857, 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: 0.9785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9793, scimark_benchmark: 1736.9559, usercpu_time_millis: 3.219, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 2.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7753, kappa: 0.5467, kb_relative_information_score: 1483.3762, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7978, scimark_benchmark: 1712.59, usercpu_time_millis: 20.236, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 19.747,
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: 1730.591, usercpu_time_millis: 4.139, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 3.336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7759, kappa: 0.5479, kb_relative_information_score: 1477.4481, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7764, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7989, scimark_benchmark: 1738.3274, usercpu_time_millis: 18.654, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 18.078,
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: 1695.6343, usercpu_time_millis: 2.913, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 2.408,
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: 1732.0396, usercpu_time_millis: 4.884, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 3.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7377, kappa: 0.4727, kb_relative_information_score: 890.6185, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8651, scimark_benchmark: 1722.7088, usercpu_time_millis: 5.07, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 4.019,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7767, kappa: 0.5495, kb_relative_information_score: 1365.7045, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7772, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8046, scimark_benchmark: 1725.8551, usercpu_time_millis: 6.271, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 5.764,
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: 1697.9712, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 2.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7762, kappa: 0.5484, kb_relative_information_score: 1334.0668, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8072, scimark_benchmark: 1728.9285, usercpu_time_millis: 6.285, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 5.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.3813, kb_relative_information_score: 0.68, 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: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9999, scimark_benchmark: 1727.4447, usercpu_time_millis: 2.89, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 2.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7551, kappa: 0.5062, kb_relative_information_score: 1142.0663, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8342, scimark_benchmark: 1728.075, usercpu_time_millis: 3.663, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 3.129,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7689, kappa: 0.5338, kb_relative_information_score: 1234.6524, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1732.8983, usercpu_time_millis: 6.918, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 5.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7703, kappa: 0.5366, kb_relative_information_score: 1292.7831, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7707, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8144, scimark_benchmark: 1732.9618, usercpu_time_millis: 5.227, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 4.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7423, kappa: 0.481, kb_relative_information_score: 995.5514, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8511, scimark_benchmark: 1728.4686, usercpu_time_millis: 3.283, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 2.758,
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: 1817.2555, usercpu_time_millis: 5.587, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 4.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 317.9263, mean_absolute_error: 0.4652, 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: 0.937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9444, scimark_benchmark: 1845.3986, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 2.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 565.5931, mean_absolute_error: 0.4379, 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: 0.8821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9072, scimark_benchmark: 1845.7835, usercpu_time_millis: 2.708, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 2.25,
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: 1732.5611, usercpu_time_millis: 3.053, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.573,
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: 1737.4205, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.575,
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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: 1729.3292, usercpu_time_millis: 2.905, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 2.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 590.7779, mean_absolute_error: 0.435, 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: 0.8763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9063, scimark_benchmark: 1827.5308, usercpu_time_millis: 4.51, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 3.597,
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: 1827.1619, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 3.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.3813, kb_relative_information_score: 149.9291, mean_absolute_error: 0.4822, 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: 0.9712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9726, scimark_benchmark: 1738.3274, usercpu_time_millis: 2.884, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7569, kappa: 0.5098, kb_relative_information_score: 1153.1622, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8318, scimark_benchmark: 1737.8652, usercpu_time_millis: 3.799, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 3.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 315.5494, mean_absolute_error: 0.4654, 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: 0.9375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9448, scimark_benchmark: 1736.5552, usercpu_time_millis: 2.966, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 2.443,
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: 1736.2203, usercpu_time_millis: 3.016, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 2.496,
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: 1733.7613, usercpu_time_millis: 3.042, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 2.515,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs