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: 1785.7086, usercpu_time_millis: 6.16, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 4.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7579, kappa: 0.512, kb_relative_information_score: 1105.0217, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8345, scimark_benchmark: 1729.3292, usercpu_time_millis: 3.9, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 3.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7036, kappa: 0.4095, kb_relative_information_score: 215.5013, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7292, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9609, scimark_benchmark: 1695.6259, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 2.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7703, kappa: 0.5366, kb_relative_information_score: 1290.5533, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7707, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8145, scimark_benchmark: 1724.9287, usercpu_time_millis: 7.715, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 6.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 430.7051, mean_absolute_error: 0.4531, 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: 0.9127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9272, scimark_benchmark: 1726.6452, usercpu_time_millis: 3.186, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 2.664,
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: 1734.798, usercpu_time_millis: 3.181, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 2.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 837.5076, mean_absolute_error: 0.4046, 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: 0.8151, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8735, scimark_benchmark: 1711.6491, usercpu_time_millis: 2.948, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 2.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 3.209, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 2.68,
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: 1728.4814, usercpu_time_millis: 3.358, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 2.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 3.379, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 2.73,
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: 3.375, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 2.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.776, kappa: 0.548, kb_relative_information_score: 1507.4382, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8005, scimark_benchmark: 1738.3274, usercpu_time_millis: 19.662, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 19.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7771, kappa: 0.5504, kb_relative_information_score: 1297.3944, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.805, scimark_benchmark: 1728.0111, usercpu_time_millis: 11.572, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 10.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7765, kappa: 0.549, kb_relative_information_score: 1490.0584, mean_absolute_error: 0.3149, 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: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7992, scimark_benchmark: 1712.1014, usercpu_time_millis: 15.494, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 14.927,
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: 1765.5914, usercpu_time_millis: 4.147, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 3.364,
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: 1768.1914, usercpu_time_millis: 4.149, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 3.366,
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: 1769.1552, usercpu_time_millis: 4.153, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7567, kappa: 0.5095, kb_relative_information_score: 1048.8065, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8403, scimark_benchmark: 1880.62, usercpu_time_millis: 3.596, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 3.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7582, kappa: 0.5126, kb_relative_information_score: 1149.5734, mean_absolute_error: 0.3632, 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: 0.7316, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8315, scimark_benchmark: 1712.59, usercpu_time_millis: 3.458, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.999,
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: 1713.4936, usercpu_time_millis: 2.914, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 2.409,
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: 1725.4218, usercpu_time_millis: 2.925, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 254.889, mean_absolute_error: 0.4717, 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: 0.9501, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9547, scimark_benchmark: 2130.6145, usercpu_time_millis: 2.453, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 2.038,
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: 2125.519, usercpu_time_millis: 2.449, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 2.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7487, kappa: 0.4937, kb_relative_information_score: 1080.2383, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8409, scimark_benchmark: 1716.5439, usercpu_time_millis: 3.4, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 2.887,
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: 1717.9445, usercpu_time_millis: 3.199, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 2.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7086, kappa: 0.4168, kb_relative_information_score: 356.9789, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7264, predictive_accuracy: 0.7169, prior_entropy: 0.9948, recall: 0.7169, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.936, scimark_benchmark: 1718.2275, usercpu_time_millis: 3.316, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 740.2114, usercpu_time_millis: 4.653, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 4.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 740.294, usercpu_time_millis: 4.66, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 4.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7756, kappa: 0.5473, kb_relative_information_score: 1501.2408, mean_absolute_error: 0.3132, 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: 0.6309, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7996, scimark_benchmark: 1821.1586, usercpu_time_millis: 22.221, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 21.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7762, kappa: 0.5485, kb_relative_information_score: 1527.4825, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8016, scimark_benchmark: 1694.9288, usercpu_time_millis: 28.599, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 27.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.3813, kb_relative_information_score: 113.1546, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9793, scimark_benchmark: 1736.9559, usercpu_time_millis: 3.219, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 2.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7753, kappa: 0.5467, kb_relative_information_score: 1483.3762, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7978, scimark_benchmark: 1712.59, usercpu_time_millis: 20.236, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 19.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0074, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.591, usercpu_time_millis: 4.139, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 3.336,
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: 1732.9618, usercpu_time_millis: 4.139, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 3.338,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7762, kappa: 0.5485, kb_relative_information_score: 1325.7852, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8066, scimark_benchmark: 1731.1814, usercpu_time_millis: 6.078, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 5.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7699, kappa: 0.5359, kb_relative_information_score: 1577.2606, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7701, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8112, scimark_benchmark: 1704.255, usercpu_time_millis: 37.724, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 37.179,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7569, kappa: 0.5098, kb_relative_information_score: 1151.4621, mean_absolute_error: 0.3629, 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: 0.7311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.832, scimark_benchmark: 1804.8961, usercpu_time_millis: 5.129, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 4.293,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7675, kappa: 0.5311, kb_relative_information_score: 1609.6356, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8175, scimark_benchmark: 1733.7613, usercpu_time_millis: 49.107, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 48.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1588.2531, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8132, scimark_benchmark: 1734.6706, usercpu_time_millis: 59.994, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 59.182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7663, kappa: 0.5285, kb_relative_information_score: 1601.4903, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1905.3547, usercpu_time_millis: 47.492, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 46.958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 256.6061, mean_absolute_error: 0.4715, 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: 0.9498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9544, scimark_benchmark: 1732.8972, usercpu_time_millis: 2.952, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 2.446,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7456, kappa: 0.4874, kb_relative_information_score: 1079.8857, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8435, scimark_benchmark: 1723.8042, usercpu_time_millis: 4.524, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 3.737,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7676, kappa: 0.5313, kb_relative_information_score: 1605.806, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8177, scimark_benchmark: 1827.0891, usercpu_time_millis: 62.668, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 61.937,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 211.7645, mean_absolute_error: 0.476, 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: 0.9589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.962, scimark_benchmark: 1727.0501, usercpu_time_millis: 3.001, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 2.469,
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: 1734.3333, usercpu_time_millis: 2.888, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.387,
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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