Task
Supervised Classification on delta_elevators

Supervised Classification on delta_elevators

Task 3684 Supervised Classification delta_elevators 553 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8772, kappa: 0.7543, kb_relative_information_score: 6210.3882, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8772, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8724, kappa: 0.7449, kb_relative_information_score: 5986.2985, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 1, recall: 0.8724, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8745, kappa: 0.7491, kb_relative_information_score: 5998.7332, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8746, predictive_accuracy: 0.8745, prior_entropy: 1, recall: 0.8745, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.31, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8583, kappa: 0.7166, kb_relative_information_score: 5941.4368, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8592, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3402, f_measure: 0.5202, kappa: 0.1592, kb_relative_information_score: 1226.5786, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.6605, predictive_accuracy: 0.5813, prior_entropy: 1, recall: 0.5813, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.2601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3364, kb_relative_information_score: -0.0011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.2528, predictive_accuracy: 0.5028, prior_entropy: 1, recall: 0.5028, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 6053.6768, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8658, predictive_accuracy: 0.8656, prior_entropy: 1, recall: 0.8656, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 6810.0195, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8547, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8747, kappa: 0.7495, kb_relative_information_score: 6487.8115, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8754, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8786, kappa: 0.7573, kb_relative_information_score: 6215.1192, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8789, predictive_accuracy: 0.8786, prior_entropy: 1, recall: 0.8786, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8757, kappa: 0.7514, kb_relative_information_score: 6263.7431, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8758, predictive_accuracy: 0.8757, prior_entropy: 1, recall: 0.8757, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8771, kappa: 0.7544, kb_relative_information_score: 6358.4054, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8779, predictive_accuracy: 0.8772, prior_entropy: 1, recall: 0.8772, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8693, kappa: 0.7386, kb_relative_information_score: 6310.9932, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8694, predictive_accuracy: 0.8693, prior_entropy: 1, recall: 0.8693, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8697, kappa: 0.7395, kb_relative_information_score: 6174.8162, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8705, predictive_accuracy: 0.8697, prior_entropy: 1, recall: 0.8697, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.881, kappa: 0.7622, kb_relative_information_score: 7252.1045, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8821, predictive_accuracy: 0.8811, prior_entropy: 1, recall: 0.8811, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8747, kappa: 0.7495, kb_relative_information_score: 6446.3826, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8748, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8705, kappa: 0.7411, kb_relative_information_score: 4406.8605, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8706, predictive_accuracy: 0.8705, prior_entropy: 1, recall: 0.8705, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 6281.2943, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8658, predictive_accuracy: 0.8656, prior_entropy: 1, recall: 0.8656, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8603, kappa: 0.7208, kb_relative_information_score: 6012.4521, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8608, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8729, kappa: 0.7457, kb_relative_information_score: 6371.5012, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.873, predictive_accuracy: 0.8729, prior_entropy: 1, recall: 0.8729, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8711, kappa: 0.7421, kb_relative_information_score: 6303.3648, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8711, predictive_accuracy: 0.8711, prior_entropy: 1, recall: 0.8711, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.875, kappa: 0.7502, kb_relative_information_score: 6317.1618, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8757, predictive_accuracy: 0.8751, prior_entropy: 1, recall: 0.8751, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8808, kappa: 0.7617, kb_relative_information_score: 6378.8595, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8818, predictive_accuracy: 0.8808, prior_entropy: 1, recall: 0.8808, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8747, kappa: 0.7495, kb_relative_information_score: 6316.7752, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8754, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8808, kappa: 0.7617, kb_relative_information_score: 7248.8985, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8818, predictive_accuracy: 0.8808, prior_entropy: 1, recall: 0.8808, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8794, kappa: 0.7588, kb_relative_information_score: 6374.5348, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8795, predictive_accuracy: 0.8794, prior_entropy: 1, recall: 0.8794, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8788, kappa: 0.7578, kb_relative_information_score: 7210.8968, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8797, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8709, kappa: 0.742, kb_relative_information_score: 7060.8901, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 1, recall: 0.871, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8743, kappa: 0.7487, kb_relative_information_score: 6282.3404, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8745, predictive_accuracy: 0.8743, prior_entropy: 1, recall: 0.8743, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8711, kappa: 0.7421, kb_relative_information_score: 6303.3648, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8711, predictive_accuracy: 0.8711, prior_entropy: 1, recall: 0.8711, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8744, kappa: 0.7489, kb_relative_information_score: 6324.1352, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.875, predictive_accuracy: 0.8744, prior_entropy: 1, recall: 0.8744, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8747, kappa: 0.7495, kb_relative_information_score: 6316.7752, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8754, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.844, kappa: 0.6882, kb_relative_information_score: 5357.9747, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8448, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8694, kappa: 0.7391, kb_relative_information_score: 6272.9331, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8704, predictive_accuracy: 0.8695, prior_entropy: 1, recall: 0.8695, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.8255, kappa: 0.6509, kb_relative_information_score: 6194.8513, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8255, predictive_accuracy: 0.8255, prior_entropy: 1, recall: 0.8255, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8442, kappa: 0.6886, kb_relative_information_score: 6552.8673, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8454, predictive_accuracy: 0.8443, prior_entropy: 1, recall: 0.8443, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7892, scimark_benchmark: 1959.6455, usercpu_time_millis: 7984.375, usercpu_time_millis_testing: 2500, usercpu_time_millis_training: 5484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2885, f_measure: 0.2885, kappa: -0.423, kb_relative_information_score: -4025.6058, mean_absolute_error: 0.7115, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.2885, predictive_accuracy: 0.2885, prior_entropy: 1, recall: 0.2885, relative_absolute_error: 1.423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8435, root_relative_squared_error: 1.687, scimark_benchmark: 1959.6455, usercpu_time_millis: 11015.625, usercpu_time_millis_testing: 3515.625, usercpu_time_millis_training: 7500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6487, kappa: 0.3117, kb_relative_information_score: 2976.7074, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.6702, predictive_accuracy: 0.6564, prior_entropy: 1, recall: 0.6564, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.1724, scimark_benchmark: 1631.1992, usercpu_time_millis: 535468.75, usercpu_time_millis_testing: 328.125, usercpu_time_millis_training: 535140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8442, kappa: 0.6886, kb_relative_information_score: 6552.8673, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8454, predictive_accuracy: 0.8443, prior_entropy: 1, recall: 0.8443, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7892, scimark_benchmark: 1862.8608, usercpu_time_millis: 7640.625, usercpu_time_millis_testing: 2531.25, usercpu_time_millis_training: 5109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2885, f_measure: 0.2885, kappa: -0.423, kb_relative_information_score: -4025.6058, mean_absolute_error: 0.7115, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.2885, predictive_accuracy: 0.2885, prior_entropy: 1, recall: 0.2885, relative_absolute_error: 1.423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8435, root_relative_squared_error: 1.687, scimark_benchmark: 1347.36, usercpu_time_millis: 14050, usercpu_time_millis_testing: 5840, usercpu_time_millis_training: 8210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8442, kappa: 0.6886, kb_relative_information_score: 6552.8673, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8454, predictive_accuracy: 0.8443, prior_entropy: 1, recall: 0.8443, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7892, scimark_benchmark: 1670.6318, usercpu_time_millis: 13530, usercpu_time_millis_testing: 3800, usercpu_time_millis_training: 9730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6487, kappa: 0.3117, kb_relative_information_score: 2976.7074, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.6702, predictive_accuracy: 0.6564, prior_entropy: 1, recall: 0.6564, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.1724, scimark_benchmark: 1384.6362, usercpu_time_millis: 725820, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 725260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8783, kappa: 0.7566, kb_relative_information_score: 6377.7633, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 1, recall: 0.8783, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6023, scimark_benchmark: 1908.2191, usercpu_time_millis: 20515.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 20500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8281, kappa: 0.6562, kb_relative_information_score: 6243.7995, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8291, scimark_benchmark: 1744.8652, usercpu_time_millis: 3296.875, usercpu_time_millis_testing: 3265.625, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8789, kappa: 0.7579, kb_relative_information_score: 6254.8086, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8793, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6029, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8794, kappa: 0.759, kb_relative_information_score: 7222.8973, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8803, predictive_accuracy: 0.8795, prior_entropy: 1, recall: 0.8795, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6943, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8808, kappa: 0.7617, kb_relative_information_score: 7248.8985, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8818, predictive_accuracy: 0.8808, prior_entropy: 1, recall: 0.8808, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6904, scimark_benchmark: 1531.5624, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8805, kappa: 0.7611, kb_relative_information_score: 6308.3248, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.881, predictive_accuracy: 0.8805, prior_entropy: 1, recall: 0.8805, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.5989, scimark_benchmark: 997.8064, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8724, kappa: 0.7449, kb_relative_information_score: 5986.2985, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 1, recall: 0.8724, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6522, scimark_benchmark: 952.4379, usercpu_time_millis: 1590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8804, kappa: 0.7609, kb_relative_information_score: 6430.4544, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8811, predictive_accuracy: 0.8804, prior_entropy: 1, recall: 0.8804, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.305, root_relative_squared_error: 0.61, scimark_benchmark: 1447.2612, usercpu_time_millis: 4203.125, usercpu_time_millis_testing: 4187.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8373, kappa: 0.6771, kb_relative_information_score: 6255.979, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8486, predictive_accuracy: 0.8384, prior_entropy: 1, recall: 0.8384, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7159, scimark_benchmark: 1840.6094, usercpu_time_millis: 3234.375, usercpu_time_millis_testing: 3203.125, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8327, kappa: 0.6681, kb_relative_information_score: 6192.3367, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8447, predictive_accuracy: 0.8339, prior_entropy: 1, recall: 0.8339, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7222, scimark_benchmark: 1840.6094, usercpu_time_millis: 3531.25, usercpu_time_millis_testing: 3531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.874, kappa: 0.7481, kb_relative_information_score: 6274.0097, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.875, predictive_accuracy: 0.874, prior_entropy: 1, recall: 0.874, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6193, scimark_benchmark: 1873.1108, usercpu_time_millis: 5015.625, usercpu_time_millis_testing: 5015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8735, kappa: 0.747, kb_relative_information_score: 6415.032, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8735, predictive_accuracy: 0.8735, prior_entropy: 1, recall: 0.8735, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6365, scimark_benchmark: 1873.1108, usercpu_time_millis: 2859.375, usercpu_time_millis_testing: 2843.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 6281.0312, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8658, predictive_accuracy: 0.8656, prior_entropy: 1, recall: 0.8656, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6432, scimark_benchmark: 1873.1108, usercpu_time_millis: 4437.5, usercpu_time_millis_testing: 4437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8859, kappa: 0.7718, kb_relative_information_score: 7344.9028, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8859, predictive_accuracy: 0.8859, prior_entropy: 1, recall: 0.8859, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8777, kappa: 0.7557, kb_relative_information_score: 7190.8959, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8792, predictive_accuracy: 0.8778, prior_entropy: 1, recall: 0.8778, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6992, scimark_benchmark: 1779.392, usercpu_time_millis: 358.8023, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 343.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8802, kappa: 0.7607, kb_relative_information_score: 7238.898, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8822, predictive_accuracy: 0.8803, prior_entropy: 1, recall: 0.8803, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6919, scimark_benchmark: 1779.392, usercpu_time_millis: 296.4019, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8751, kappa: 0.7501, kb_relative_information_score: 7138.8936, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8751, predictive_accuracy: 0.8751, prior_entropy: 1, recall: 0.8751, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8743, kappa: 0.7487, kb_relative_information_score: 6250.0756, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8745, predictive_accuracy: 0.8743, prior_entropy: 1, recall: 0.8743, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.631, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.878, kappa: 0.756, kb_relative_information_score: 7194.8961, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 1, recall: 0.878, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8704, kappa: 0.7409, kb_relative_information_score: 6238.6842, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8705, predictive_accuracy: 0.8704, prior_entropy: 1, recall: 0.8704, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6362, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8361, kappa: 0.673, kb_relative_information_score: 5432.4263, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8402, predictive_accuracy: 0.8366, prior_entropy: 1, recall: 0.8366, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7311, scimark_benchmark: 1732.2066, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3402, f_measure: 0.5202, kappa: 0.1592, kb_relative_information_score: 1226.5786, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.6605, predictive_accuracy: 0.5813, prior_entropy: 1, recall: 0.5813, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.2601, scimark_benchmark: 1732.2066, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,

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