Task
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: 0.4988, 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: 4.028, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 3.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.737, kappa: 0.4713, kb_relative_information_score: 813.4682, mean_absolute_error: 0.4078, 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: 0.8215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1737.8652, usercpu_time_millis: 4.126, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 3.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7371, kappa: 0.4713, kb_relative_information_score: 410.0767, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9282, scimark_benchmark: 1686.3529, usercpu_time_millis: 4.11, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 3.304,
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: 1734.2699, usercpu_time_millis: 2.814, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 2.335,
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: 1730.5828, usercpu_time_millis: 2.762, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 2.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7581, kappa: 0.5123, kb_relative_information_score: 1646.4751, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.854, scimark_benchmark: 1732.0988, usercpu_time_millis: 113.123, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 112.608,
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: 1686.8051, usercpu_time_millis: 3.07, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 2.508,
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: 1725.723, usercpu_time_millis: 4.409, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 3.562,
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: 1728.4118, usercpu_time_millis: 4.487, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 3.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 538.158, mean_absolute_error: 0.4411, 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: 0.8885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9126, scimark_benchmark: 1715.638, usercpu_time_millis: 2.868, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 2.364,
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: 1735.5762, usercpu_time_millis: 2.882, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 2.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7564, kappa: 0.5088, kb_relative_information_score: 933.906, mean_absolute_error: 0.3919, 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: 0.7895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8495, scimark_benchmark: 1736.9477, usercpu_time_millis: 3.282, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 2.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7648, kappa: 0.5257, kb_relative_information_score: 1616.8485, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1706.0737, usercpu_time_millis: 71.832, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 71.122,
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: 1737.2897, usercpu_time_millis: 3.828, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 3.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7375, kappa: 0.4722, kb_relative_information_score: 715.376, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8843, scimark_benchmark: 1732.9537, usercpu_time_millis: 2.856, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 2.371,
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: 1695.553, usercpu_time_millis: 4.049, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 3.231,
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: 1817.4057, usercpu_time_millis: 5.657, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 4.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7464, kappa: 0.4889, kb_relative_information_score: 1047.8057, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7463, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.421, root_relative_squared_error: 0.845, scimark_benchmark: 1726.1942, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 2.587,
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: 1734.3333, usercpu_time_millis: 2.737, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 2.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7611, kappa: 0.5183, kb_relative_information_score: 1060.1561, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1718.1398, usercpu_time_millis: 3.485, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7609, kappa: 0.5178, kb_relative_information_score: 1624.6109, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8354, scimark_benchmark: 1726.2558, usercpu_time_millis: 74.333, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 73.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7767, kappa: 0.5495, kb_relative_information_score: 1358.2581, mean_absolute_error: 0.3345, 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: 0.6739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8062, scimark_benchmark: 1706.8663, usercpu_time_millis: 9.499, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 8.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7765, kappa: 0.5492, kb_relative_information_score: 1290.5419, mean_absolute_error: 0.3439, 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: 0.6928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8055, scimark_benchmark: 1740.0593, usercpu_time_millis: 10.379, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 9.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7572, kappa: 0.5104, kb_relative_information_score: 904.3956, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8527, scimark_benchmark: 1746.6199, usercpu_time_millis: 4.785, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 3.966,
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: 1709.9114, usercpu_time_millis: 2.86, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.772, kappa: 0.54, kb_relative_information_score: 1309.1941, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8108, scimark_benchmark: 1707.2552, usercpu_time_millis: 4.96, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 4.469,
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: 1697.7429, usercpu_time_millis: 2.831, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 2.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7765, kappa: 0.5491, kb_relative_information_score: 1490.6565, mean_absolute_error: 0.3147, 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: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1717.382, usercpu_time_millis: 16.504, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 15.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7371, kappa: 0.4712, kb_relative_information_score: 913.0117, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8613, scimark_benchmark: 1755.7839, usercpu_time_millis: 3.881, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 3.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7749, kappa: 0.5458, kb_relative_information_score: 1541.2778, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.804, scimark_benchmark: 1728.4686, usercpu_time_millis: 24.606, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 24.095,
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: 1731.5618, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.27,
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: 1763.9483, usercpu_time_millis: 6.191, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 4.818,
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: 1837.1955, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.216,
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: 1722.2536, usercpu_time_millis: 2.945, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 2.449,
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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: 1694.6628, usercpu_time_millis: 2.83, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 2.345,
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: 1734.2699, usercpu_time_millis: 2.664, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 2.23,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7757, kappa: 0.5475, kb_relative_information_score: 1531.82, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7761, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.803, scimark_benchmark: 1701.6785, usercpu_time_millis: 25.745, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 25.223,
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: 1801.8277, usercpu_time_millis: 5.728, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 4.492,
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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: 1734.2107, usercpu_time_millis: 3.89, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 3.141,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7372, kappa: 0.4715, kb_relative_information_score: 922.1141, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8616, scimark_benchmark: 1720.3806, usercpu_time_millis: 3.059, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 2.548,
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: 1689.8808, usercpu_time_millis: 2.828, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7377, kappa: 0.4728, kb_relative_information_score: 685.3773, mean_absolute_error: 0.4235, 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: 0.8531, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.888, scimark_benchmark: 1719.5729, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 3.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7759, kappa: 0.548, kb_relative_information_score: 1326.7528, mean_absolute_error: 0.3391, 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: 0.6831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8053, scimark_benchmark: 1734.6706, usercpu_time_millis: 6.706, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 6.122,
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: 1733.4112, usercpu_time_millis: 2.725, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 2.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7756, kappa: 0.5473, kb_relative_information_score: 1541.3896, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7761, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1816.3145, usercpu_time_millis: 45, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 43.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7765, kappa: 0.5491, kb_relative_information_score: 1504.146, mean_absolute_error: 0.3126, 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: 0.6296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8001, scimark_benchmark: 1257.4577, usercpu_time_millis: 28.621, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 27.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7443, kappa: 0.4849, kb_relative_information_score: 1060.2646, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8454, scimark_benchmark: 1719.131, usercpu_time_millis: 3.264, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 2.751,
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: 1724.4964, usercpu_time_millis: 2.745, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 2.293,
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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: 1796.9227, usercpu_time_millis: 3.6, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 2.916,
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: 1732.9537, usercpu_time_millis: 2.818, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 2.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 861.6044, mean_absolute_error: 0.4015, 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: 0.8088, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8709, scimark_benchmark: 1730.591, usercpu_time_millis: 4.076, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 3.31,
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: 1717.041, usercpu_time_millis: 2.819, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.341,
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: 1737.8652, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 3.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7438, kappa: 0.4829, kb_relative_information_score: 516.1008, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9098, scimark_benchmark: 1738.3274, usercpu_time_millis: 4.265, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 3.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7378, kappa: 0.4729, kb_relative_information_score: 836.9455, mean_absolute_error: 0.4047, 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: 0.8151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8713, scimark_benchmark: 1697.0204, usercpu_time_millis: 3.159, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 2.593,

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