OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.754, kappa: 0.5036, kb_relative_information_score: 940.2595, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485, scimark_benchmark: 1700.3723, usercpu_time_millis: 426.517, usercpu_time_millis_testing: 2.784, usercpu_time_millis_training: 423.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7726, kappa: 0.5413, kb_relative_information_score: 1521.2664, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7732, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1719.9254, usercpu_time_millis: 882.227, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 881.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1282, 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: 1718.6781, usercpu_time_millis: 9.151, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 7.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 982.2833, mean_absolute_error: 0.3857, 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: 0.777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1721.8563, usercpu_time_millis: 69.812, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 68.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1441.4872, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7773, scimark_benchmark: 1726.5225, usercpu_time_millis: 73.266, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 72.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8034, kappa: 0.6033, kb_relative_information_score: 1526.3548, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7687, scimark_benchmark: 1716.0319, usercpu_time_millis: 100.055, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 99.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7562, kappa: 0.5082, kb_relative_information_score: 910.9654, mean_absolute_error: 0.3945, 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: 0.7948, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1720.9479, usercpu_time_millis: 152.242, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 150.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.2182, 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: 1727.1069, usercpu_time_millis: 5.595, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 4.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7384, kappa: 0.4723, kb_relative_information_score: 637.786, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8931, scimark_benchmark: 1734.7321, usercpu_time_millis: 13.143, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 12.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0515, 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: 7.959, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 6.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.101, 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: 1733.0105, usercpu_time_millis: 8.183, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 7.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.6986, kappa: 0.3928, kb_relative_information_score: 508.1246, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7041, predictive_accuracy: 0.7027, prior_entropy: 0.9948, recall: 0.7027, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9106, scimark_benchmark: 1744.7906, usercpu_time_millis: 30.199, usercpu_time_millis_testing: 2.109, usercpu_time_millis_training: 28.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0538, 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: 8.263, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 6.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0741, 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: 1722.7088, usercpu_time_millis: 9.249, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 7.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1369, 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: 1723.8599, usercpu_time_millis: 7.332, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 6.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7817, kappa: 0.5595, kb_relative_information_score: 1456.8409, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.789, scimark_benchmark: 1731.9625, usercpu_time_millis: 388.728, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 387.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 903.7256, mean_absolute_error: 0.3962, 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: 0.7981, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.873, scimark_benchmark: 1720.9479, usercpu_time_millis: 267.703, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 266.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8042, kappa: 0.6052, kb_relative_information_score: 1569.5955, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761, scimark_benchmark: 1693.1698, usercpu_time_millis: 4748.485, usercpu_time_millis_testing: 6.946, usercpu_time_millis_training: 4741.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8014, kappa: 0.5993, kb_relative_information_score: 1430.1687, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1718.6781, usercpu_time_millis: 1604.447, usercpu_time_millis_testing: 5.31, usercpu_time_millis_training: 1599.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 1414.0875, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7944, scimark_benchmark: 1732.4985, usercpu_time_millis: 2950.828, usercpu_time_millis_testing: 2.535, usercpu_time_millis_training: 2948.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 1597.0407, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1729.728, usercpu_time_millis: 3345.87, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 3342.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7716, kappa: 0.5393, kb_relative_information_score: 1109.5899, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7717, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8206, scimark_benchmark: 1726.5817, usercpu_time_millis: 11.959, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 10.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0828, 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: 1765.9334, usercpu_time_millis: 10.253, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 8.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.729, kappa: 0.4536, kb_relative_information_score: 651.3831, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7289, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8905, scimark_benchmark: 1766.7277, usercpu_time_millis: 18.517, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 17.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.794, kappa: 0.5845, kb_relative_information_score: 1518.3307, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7768, scimark_benchmark: 1725.6207, usercpu_time_millis: 3039.275, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 3037.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1579.6922, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1751.4006, usercpu_time_millis: 3186.286, usercpu_time_millis_testing: 2.557, usercpu_time_millis_training: 3183.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1011, 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: 1733.1402, usercpu_time_millis: 12.258, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 10.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0383, 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: 1069.2054, usercpu_time_millis: 16.917, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 14.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7478, kappa: 0.4911, kb_relative_information_score: 849.935, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7496, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8611, scimark_benchmark: 1727.1069, usercpu_time_millis: 164.453, usercpu_time_millis_testing: 2.042, usercpu_time_millis_training: 162.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0765, 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: 1070.0947, usercpu_time_millis: 12.653, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 10.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7491, kappa: 0.4937, kb_relative_information_score: 944.9634, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7505, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8521, scimark_benchmark: 1717.8888, usercpu_time_millis: 47.557, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 46.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8062, kappa: 0.6093, kb_relative_information_score: 1449.8963, mean_absolute_error: 0.3236, 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: 0.6519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1077.0841, usercpu_time_millis: 92.122, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 89.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8007, kappa: 0.5981, kb_relative_information_score: 1528.2906, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7686, scimark_benchmark: 1726.2345, usercpu_time_millis: 1462.404, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 1460.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7695, kappa: 0.5348, kb_relative_information_score: 1279.721, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7711, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8138, scimark_benchmark: 1833.7106, usercpu_time_millis: 1268.665, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 1266.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1640.9684, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1725.7816, usercpu_time_millis: 12413.181, usercpu_time_millis_testing: 4.729, usercpu_time_millis_training: 12408.452,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0289, 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: 1981.4721, usercpu_time_millis: 4.849, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 3.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1143, 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: 1990.2875, usercpu_time_millis: 6.358, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 5.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1192, 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: 1767.2777, usercpu_time_millis: 9.676, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 8.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7958, kappa: 0.588, kb_relative_information_score: 1475.4483, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7962, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7803, scimark_benchmark: 1701.7752, usercpu_time_millis: 419.993, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 417.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6493, kappa: 0.3116, kb_relative_information_score: 247.4487, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6913, predictive_accuracy: 0.67, prior_entropy: 0.9948, recall: 0.67, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9551, scimark_benchmark: 1912.2875, usercpu_time_millis: 24.924, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 22.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0962, 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: 1827.5274, usercpu_time_millis: 5.12, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 4.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6465, kappa: 0.2993, kb_relative_information_score: 255.2311, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6733, predictive_accuracy: 0.6622, prior_entropy: 0.9948, recall: 0.6622, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9542, scimark_benchmark: 1894.4866, usercpu_time_millis: 16.762, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 14.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1589.4676, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7524, scimark_benchmark: 1732.4995, usercpu_time_millis: 828.603, usercpu_time_millis_testing: 3.911, usercpu_time_millis_training: 824.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.778, kappa: 0.5522, kb_relative_information_score: 1300.5283, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.805, scimark_benchmark: 1706.9188, usercpu_time_millis: 794.985, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 791.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1493.7196, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7637, scimark_benchmark: 1708.661, usercpu_time_millis: 839.648, usercpu_time_millis_testing: 5.395, usercpu_time_millis_training: 834.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.4359, kappa: 0.0578, kb_relative_information_score: 108.4599, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.5665, prior_entropy: 0.9948, recall: 0.5665, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.98, scimark_benchmark: 1986.2582, usercpu_time_millis: 9.305, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 7.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1626.889, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1733.3606, usercpu_time_millis: 1739.419, usercpu_time_millis_testing: 2.893, usercpu_time_millis_training: 1736.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7894, kappa: 0.5751, kb_relative_information_score: 1500.0362, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827, scimark_benchmark: 790.2522, usercpu_time_millis: 3949.388, usercpu_time_millis_testing: 2.827, usercpu_time_millis_training: 3946.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1576.3118, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 1857.1082, usercpu_time_millis: 6771.568, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 6767.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7846, kappa: 0.5654, kb_relative_information_score: 1363.9352, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7939, scimark_benchmark: 1739.2591, usercpu_time_millis: 643.425, usercpu_time_millis_testing: 2.659, usercpu_time_millis_training: 640.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8099, kappa: 0.6165, kb_relative_information_score: 1634.3112, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7504, scimark_benchmark: 1722.1998, usercpu_time_millis: 666.95, usercpu_time_millis_testing: 2.439, usercpu_time_millis_training: 664.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.803, kappa: 0.6025, kb_relative_information_score: 1646.8509, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8035, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1732.4995, usercpu_time_millis: 7649.146, usercpu_time_millis_testing: 3.813, usercpu_time_millis_training: 7645.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7806, kappa: 0.5576, kb_relative_information_score: 1368.509, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1795.6915, usercpu_time_millis: 1052.691, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 1050.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7778, kappa: 0.5516, kb_relative_information_score: 1249.6773, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7788, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8087, scimark_benchmark: 1682.5078, usercpu_time_millis: 866.387, usercpu_time_millis_testing: 2.266, usercpu_time_millis_training: 864.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7587, kappa: 0.5132, kb_relative_information_score: 1049.057, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8375, scimark_benchmark: 1723.6152, usercpu_time_millis: 479.844, usercpu_time_millis_testing: 2.052, usercpu_time_millis_training: 477.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1650.7747, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 2118.4075, usercpu_time_millis: 3190.301, usercpu_time_millis_testing: 2.12, usercpu_time_millis_training: 3188.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7357, kappa: 0.4669, kb_relative_information_score: 793.7632, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8677, scimark_benchmark: 1844.7928, usercpu_time_millis: 11.364, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 10.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6222, kappa: 0.2707, kb_relative_information_score: 200.578, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6849, predictive_accuracy: 0.6529, prior_entropy: 0.9948, recall: 0.6529, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9636, scimark_benchmark: 1848.388, usercpu_time_millis: 15.747, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 13.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7797, kappa: 0.5556, kb_relative_information_score: 1047.1642, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1746.3705, usercpu_time_millis: 22.137, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 20.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7144, kappa: 0.4236, kb_relative_information_score: 580.8755, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7149, predictive_accuracy: 0.7155, prior_entropy: 0.9948, recall: 0.7155, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1847.8629, usercpu_time_millis: 23.571, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 22.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.6321, kappa: 0.2755, kb_relative_information_score: 227.7234, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6664, predictive_accuracy: 0.6521, prior_entropy: 0.9948, recall: 0.6521, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.959, scimark_benchmark: 1760.119, usercpu_time_millis: 20.971, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 18.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7297, kappa: 0.4546, kb_relative_information_score: 678.9605, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7299, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8863, scimark_benchmark: 1798.2926, usercpu_time_millis: 35.567, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 34.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 1119.82, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.812, scimark_benchmark: 1743.2153, usercpu_time_millis: 59.364, usercpu_time_millis_testing: 3.793, usercpu_time_millis_training: 55.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.769, kappa: 0.534, kb_relative_information_score: 984.5909, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1759.2439, usercpu_time_millis: 65.898, usercpu_time_millis_testing: 4.074, usercpu_time_millis_training: 61.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7932, kappa: 0.5828, kb_relative_information_score: 1436.4406, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7811, scimark_benchmark: 2131.5205, usercpu_time_millis: 534.973, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 533.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1412.9741, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7751, scimark_benchmark: 2126.8695, usercpu_time_millis: 604.948, usercpu_time_millis_testing: 3.551, usercpu_time_millis_training: 601.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7678, kappa: 0.5314, kb_relative_information_score: 1220.932, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.816, scimark_benchmark: 1796.8051, usercpu_time_millis: 754.9, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 753.169,

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