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: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.1086, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.2361, usercpu_time_millis: 4.329, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 3.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0968, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1805.2569, usercpu_time_millis: 9.825, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 8.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7479, kappa: 0.4916, kb_relative_information_score: 435.7612, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9234, scimark_benchmark: 1799.2518, usercpu_time_millis: 50.513, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 48.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1774, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1802.471, usercpu_time_millis: 5.924, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 5.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0377, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1856.5802, usercpu_time_millis: 7.069, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 5.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7154, kappa: 0.4262, kb_relative_information_score: 516.7486, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7194, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9076, scimark_benchmark: 1853.454, usercpu_time_millis: 28.715, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 25.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1133, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1802.471, usercpu_time_millis: 9.102, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 7.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7354, kappa: 0.4668, kb_relative_information_score: 519.0079, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7353, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9121, scimark_benchmark: 1805.2569, usercpu_time_millis: 11.161, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 10.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7469, kappa: 0.4896, kb_relative_information_score: 1145.3417, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.842, scimark_benchmark: 1855.0232, usercpu_time_millis: 99.471, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 98.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7456, kappa: 0.4873, kb_relative_information_score: 1192.8473, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1837.9312, usercpu_time_millis: 337.193, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 336.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7516, kappa: 0.4989, kb_relative_information_score: 1155.3498, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8421, scimark_benchmark: 1853.9849, usercpu_time_millis: 366.657, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 365.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 973.006, mean_absolute_error: 0.387, 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: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1853.9121, usercpu_time_millis: 473.033, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 471.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 926.5007, mean_absolute_error: 0.3932, 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: 0.7921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8736, scimark_benchmark: 1839.0605, usercpu_time_millis: 215.079, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 213.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0421, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.991, usercpu_time_millis: 8.352, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 6.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 951.8331, mean_absolute_error: 0.3898, 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: 0.7853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1852.5406, usercpu_time_millis: 6.682, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 6.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7186, kappa: 0.4322, kb_relative_information_score: 491.9553, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.915, scimark_benchmark: 1850.4154, usercpu_time_millis: 10.812, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 10.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7478, kappa: 0.491, kb_relative_information_score: 706.8275, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7486, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8836, scimark_benchmark: 1856.1949, usercpu_time_millis: 136.088, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 134.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7455, kappa: 0.487, kb_relative_information_score: 1163.047, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7512, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8431, scimark_benchmark: 1855.0232, usercpu_time_millis: 141.895, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 141.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7555, kappa: 0.5065, kb_relative_information_score: 957.0094, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8461, scimark_benchmark: 1853.3841, usercpu_time_millis: 152.87, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 150.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.0519, mean_absolute_error: 0.3924, 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: 0.7904, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8746, scimark_benchmark: 1853.9121, usercpu_time_millis: 192.133, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 190.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7548, kappa: 0.5053, kb_relative_information_score: 946.5119, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8503, scimark_benchmark: 1849.3014, usercpu_time_millis: 231.691, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 230.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1672, 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: 1859.6666, usercpu_time_millis: 8.685, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 7.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0442, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.6392, usercpu_time_millis: 7.493, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 6.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1543, 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: 1849.8294, usercpu_time_millis: 8.109, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 6.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7411, kappa: 0.4776, kb_relative_information_score: 727.3987, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7415, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8785, scimark_benchmark: 1855.5999, usercpu_time_millis: 12.057, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 11.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 800.7691, mean_absolute_error: 0.4093, 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: 0.8245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1858.6775, usercpu_time_millis: 106.268, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 104.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.1095, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1382, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 6.208, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 5.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 1175.883, mean_absolute_error: 0.3593, 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: 0.7238, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8132, scimark_benchmark: 1848.916, usercpu_time_millis: 14.94, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 14.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1617, 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: 1838.0622, usercpu_time_millis: 8.59, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 7.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2523, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 5.253, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 4.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0774, 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: 1831.9885, usercpu_time_millis: 8.634, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 7.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.732, kappa: 0.46, kb_relative_information_score: 396.4587, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.93, scimark_benchmark: 1855.0232, usercpu_time_millis: 39.047, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 37.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7433, kappa: 0.4823, kb_relative_information_score: 838.003, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8613, scimark_benchmark: 1855.4813, usercpu_time_millis: 66.634, usercpu_time_millis_testing: 2.542, usercpu_time_millis_training: 64.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7348, kappa: 0.4653, kb_relative_information_score: 611.7892, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7348, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8969, scimark_benchmark: 1854.9533, usercpu_time_millis: 99.933, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 97.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0445, 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: 1854.9533, usercpu_time_millis: 7.761, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.72, kappa: 0.435, kb_relative_information_score: 477.3597, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7213, predictive_accuracy: 0.7217, prior_entropy: 0.9948, recall: 0.7217, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9171, scimark_benchmark: 1828.6642, usercpu_time_millis: 31.333, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 30.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.6965, kappa: 0.3878, kb_relative_information_score: 428.3778, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9254, scimark_benchmark: 1835.6541, usercpu_time_millis: 32.403, usercpu_time_millis_testing: 1.878, usercpu_time_millis_training: 30.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 938.4583, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8752, scimark_benchmark: 1835.778, usercpu_time_millis: 70.455, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 69.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1384.3591, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7968, scimark_benchmark: 1955.117, usercpu_time_millis: 9.985, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 9.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.206, 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: 1850.9039, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 880.2088, mean_absolute_error: 0.3992, 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: 0.8041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1833.1413, usercpu_time_millis: 200.98, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 199.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.137, 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: 1828.6072, usercpu_time_millis: 7.782, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 6.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.8345, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1856.7433, usercpu_time_millis: 4.329, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 3.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.5082, kb_relative_information_score: 958.7568, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8443, scimark_benchmark: 1837.7149, usercpu_time_millis: 52.378, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 51.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7607, kappa: 0.517, kb_relative_information_score: 1471.01, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1832.1735, usercpu_time_millis: 91.853, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 91.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1371.1524, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1839.2774, usercpu_time_millis: 173.931, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 173.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0421, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 7.841, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 6.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 948.8613, mean_absolute_error: 0.3903, 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: 0.7861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1836.6789, usercpu_time_millis: 290.658, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 289.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7523, kappa: 0.5004, kb_relative_information_score: 1029.5446, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1832.6275, usercpu_time_millis: 43.673, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 42.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 968.6542, mean_absolute_error: 0.3876, 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: 0.7808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8782, scimark_benchmark: 1818.852, usercpu_time_millis: 156.283, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 155.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7558, kappa: 0.5073, kb_relative_information_score: 1132.8079, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8319, scimark_benchmark: 1871.5201, usercpu_time_millis: 156.62, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 155.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7406, kappa: 0.4768, kb_relative_information_score: 715.5469, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1835.2001, usercpu_time_millis: 29.34, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 28.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0164, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 8.246, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 7.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7407, kappa: 0.4771, kb_relative_information_score: 816.5963, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8638, scimark_benchmark: 1833.1413, usercpu_time_millis: 16.88, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 15.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.8309, usercpu_time_millis: 5.903, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 4.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7815, kappa: 0.5594, kb_relative_information_score: 1081.2335, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8193, scimark_benchmark: 1846.3057, usercpu_time_millis: 64.076, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 61.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7702, kappa: 0.5368, kb_relative_information_score: 1417.2451, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7702, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1840.6556, usercpu_time_millis: 28.484, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 27.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7374, kappa: 0.4718, kb_relative_information_score: 704.9888, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8886, scimark_benchmark: 1834.6918, usercpu_time_millis: 53.339, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 52.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7711, kappa: 0.5382, kb_relative_information_score: 978.1934, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8346, scimark_benchmark: 1834.6918, usercpu_time_millis: 42.097, usercpu_time_millis_testing: 2.765, usercpu_time_millis_training: 39.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7377, kappa: 0.4728, kb_relative_information_score: 880.4682, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.87, scimark_benchmark: 1842.3073, usercpu_time_millis: 62.4, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 61.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7498, kappa: 0.4951, kb_relative_information_score: 1025.4478, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8467, scimark_benchmark: 1843.2259, usercpu_time_millis: 79.364, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 78.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7514, kappa: 0.4984, kb_relative_information_score: 1065.566, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.841, scimark_benchmark: 1844.2336, usercpu_time_millis: 151.19, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 150.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7369, kappa: 0.4709, kb_relative_information_score: 661.7379, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8921, scimark_benchmark: 1914.3394, usercpu_time_millis: 60.879, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 59.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.761, kappa: 0.5178, kb_relative_information_score: 1052.9757, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8351, scimark_benchmark: 1951.8131, usercpu_time_millis: 111.646, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 110.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 892.3798, mean_absolute_error: 0.3977, 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: 0.8011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1841.2811, usercpu_time_millis: 133.972, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 132.725,

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