Task
Supervised Classification on vertebra-column

Supervised Classification on vertebra-column

Task 9939 Supervised Classification vertebra-column 122 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8035, kappa: 0.6858, kb_relative_information_score: 211.8089, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.805, predictive_accuracy: 0.8032, prior_entropy: 1.4937, recall: 0.8032, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, kappa: 0.6242, kb_relative_information_score: 186.8905, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4165, number_of_instances: 310, predictive_accuracy: 0.7742, prior_entropy: 1.4937, recall: 0.7742, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.861, kappa: 0.7775, kb_relative_information_score: 221.5692, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8618, predictive_accuracy: 0.8613, prior_entropy: 1.4937, recall: 0.8613, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8636, kappa: 0.7822, kb_relative_information_score: 242.3047, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8646, predictive_accuracy: 0.8645, prior_entropy: 1.4937, recall: 0.8645, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8617, kappa: 0.7781, kb_relative_information_score: 230.0303, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8623, predictive_accuracy: 0.8613, prior_entropy: 1.4937, recall: 0.8613, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8557, kappa: 0.7682, kb_relative_information_score: 218.298, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8566, predictive_accuracy: 0.8548, prior_entropy: 1.4937, recall: 0.8548, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8228, kappa: 0.7187, kb_relative_information_score: 213.4089, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8214, predictive_accuracy: 0.8258, prior_entropy: 1.4937, recall: 0.8258, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8267, kappa: 0.7262, kb_relative_information_score: 178.1817, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8312, predictive_accuracy: 0.829, prior_entropy: 1.4937, recall: 0.829, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8492, kappa: 0.7603, kb_relative_information_score: 215.5039, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8526, predictive_accuracy: 0.8516, prior_entropy: 1.4937, recall: 0.8516, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.7838, kappa: 0.6538, kb_relative_information_score: 185.9183, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7846, predictive_accuracy: 0.7839, prior_entropy: 1.4937, recall: 0.7839, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8267, kappa: 0.7262, kb_relative_information_score: 219.1325, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8312, predictive_accuracy: 0.829, prior_entropy: 1.4937, recall: 0.829, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7628, kappa: 0.619, kb_relative_information_score: 149.2764, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7649, predictive_accuracy: 0.7613, prior_entropy: 1.4937, recall: 0.7613, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8323, kappa: 0.7341, kb_relative_information_score: 223.3102, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8326, predictive_accuracy: 0.8355, prior_entropy: 1.4937, recall: 0.8355, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8197, kappa: 0.715, kb_relative_information_score: 175.0585, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.822, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8003, kappa: 0.6782, kb_relative_information_score: 203.7047, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8116, predictive_accuracy: 0.7968, prior_entropy: 1.4937, recall: 0.7968, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.333, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.7533, kappa: 0.6064, kb_relative_information_score: 187.8312, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7564, predictive_accuracy: 0.7548, prior_entropy: 1.4937, recall: 0.7548, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.7772, kappa: 0.6427, kb_relative_information_score: 181.8164, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7783, predictive_accuracy: 0.7774, prior_entropy: 1.4937, recall: 0.7774, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7873, kappa: 0.6763, kb_relative_information_score: 199.2714, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7913, predictive_accuracy: 0.8032, prior_entropy: 1.4937, recall: 0.8032, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.759, kappa: 0.6191, kb_relative_information_score: 136.4999, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7695, predictive_accuracy: 0.7677, prior_entropy: 1.4937, recall: 0.7677, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8197, kappa: 0.715, kb_relative_information_score: 217.5259, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.822, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8071, kappa: 0.6931, kb_relative_information_score: 213.348, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8074, predictive_accuracy: 0.8097, prior_entropy: 1.4937, recall: 0.8097, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7746, kappa: 0.6427, kb_relative_information_score: 163.0298, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7735, predictive_accuracy: 0.7806, prior_entropy: 1.4937, recall: 0.7806, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3156, kb_relative_information_score: 0.0028, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.2341, predictive_accuracy: 0.4839, prior_entropy: 1.4937, recall: 0.4839, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.4562, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7628, kappa: 0.619, kb_relative_information_score: 175.8846, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7649, predictive_accuracy: 0.7613, prior_entropy: 1.4937, recall: 0.7613, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7628, kappa: 0.619, kb_relative_information_score: 175.8846, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7649, predictive_accuracy: 0.7613, prior_entropy: 1.4937, recall: 0.7613, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7022, kappa: 0.5281, kb_relative_information_score: 171.2228, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7032, predictive_accuracy: 0.7065, prior_entropy: 1.4937, recall: 0.7065, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8095, kappa: 0.6955, kb_relative_information_score: 210.7784, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8101, predictive_accuracy: 0.8097, prior_entropy: 1.4937, recall: 0.8097, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8197, kappa: 0.715, kb_relative_information_score: 217.4203, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.822, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7762, kappa: 0.6463, kb_relative_information_score: 168.8765, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7944, predictive_accuracy: 0.7839, prior_entropy: 1.4937, recall: 0.7839, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.7061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7518, kappa: 0.6126, kb_relative_information_score: 133.6333, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7751, predictive_accuracy: 0.7645, prior_entropy: 1.4937, recall: 0.7645, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8197, kappa: 0.715, kb_relative_information_score: 217.5259, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.822, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8262, kappa: 0.7212, kb_relative_information_score: 213.8808, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8266, predictive_accuracy: 0.8258, prior_entropy: 1.4937, recall: 0.8258, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.277, root_relative_squared_error: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8095, kappa: 0.6955, kb_relative_information_score: 210.7784, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8101, predictive_accuracy: 0.8097, prior_entropy: 1.4937, recall: 0.8097, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.66, kappa: 0.5298, kb_relative_information_score: 115.5473, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.6977, predictive_accuracy: 0.7194, prior_entropy: 1.4937, recall: 0.7194, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.7463, kappa: 0.5921, kb_relative_information_score: 180.6393, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7484, predictive_accuracy: 0.7452, prior_entropy: 1.4937, recall: 0.7452, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7385, kappa: 0.5959, kb_relative_information_score: 131.6249, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7653, predictive_accuracy: 0.7548, prior_entropy: 1.4937, recall: 0.7548, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8197, kappa: 0.7141, kb_relative_information_score: 215.2938, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8193, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3877, f_measure: 0.3226, kappa: 0.0073, kb_relative_information_score: 0.5214, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.5575, predictive_accuracy: 0.4871, prior_entropy: 1.4937, recall: 0.4871, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8405, kappa: 0.746, kb_relative_information_score: 209.5754, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8395, predictive_accuracy: 0.8419, prior_entropy: 1.4937, recall: 0.8419, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.786, kappa: 0.6579, kb_relative_information_score: 204.5588, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7861, predictive_accuracy: 0.7871, prior_entropy: 1.4937, recall: 0.7871, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8301, kappa: 0.7267, kb_relative_information_score: 225.7651, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8317, predictive_accuracy: 0.829, prior_entropy: 1.4937, recall: 0.829, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8381, kappa: 0.7411, kb_relative_information_score: 230.1057, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8375, predictive_accuracy: 0.8387, prior_entropy: 1.4937, recall: 0.8387, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7188, usercpu_time_millis: 313.03, usercpu_time_millis_testing: 3.612, usercpu_time_millis_training: 309.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7906, kappa: 0.6699, kb_relative_information_score: 207.6818, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7872, predictive_accuracy: 0.7968, prior_entropy: 1.4937, recall: 0.7968, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8068, usercpu_time_millis: 28.216, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 27.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8223, kappa: 0.7155, kb_relative_information_score: 223.4048, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8221, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7539, usercpu_time_millis: 17.69, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 17.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8423, kappa: 0.7498, kb_relative_information_score: 232.1458, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8407, predictive_accuracy: 0.8452, prior_entropy: 1.4937, recall: 0.8452, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.7043, usercpu_time_millis: 13.372, usercpu_time_millis_testing: 2.303, usercpu_time_millis_training: 11.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.3261, kappa: 0.1185, kb_relative_information_score: 40.1309, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.5987, predictive_accuracy: 0.4161, prior_entropy: 1.4937, recall: 0.4161, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.6239, root_relative_squared_error: 1.3676, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.806, kappa: 0.6894, kb_relative_information_score: 213.7574, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8138, predictive_accuracy: 0.8065, prior_entropy: 1.4937, recall: 0.8065, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7874, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8489, kappa: 0.7576, kb_relative_information_score: 235.8582, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8496, predictive_accuracy: 0.8484, prior_entropy: 1.4937, recall: 0.8484, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6969, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8245, kappa: 0.7171, kb_relative_information_score: 224.1766, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.831, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7539, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8282, kappa: 0.7281, kb_relative_information_score: 225.6305, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8262, predictive_accuracy: 0.8323, prior_entropy: 1.4937, recall: 0.8323, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.733, usercpu_time_millis: 2.328, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8404, kappa: 0.7432, kb_relative_information_score: 231.3232, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8426, predictive_accuracy: 0.8387, prior_entropy: 1.4937, recall: 0.8387, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7188, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3156, kb_relative_information_score: 55.412, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.2341, predictive_accuracy: 0.4839, prior_entropy: 1.4937, recall: 0.4839, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2858, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8471, kappa: 0.7561, kb_relative_information_score: 234.3834, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8462, predictive_accuracy: 0.8484, prior_entropy: 1.4937, recall: 0.8484, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6969, usercpu_time_millis: 3.057, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 2.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7981, kappa: 0.6764, kb_relative_information_score: 210.8199, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8015, predictive_accuracy: 0.7968, prior_entropy: 1.4937, recall: 0.7968, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8068, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3538, kb_relative_information_score: 49.9974, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.3382, predictive_accuracy: 0.4677, prior_entropy: 1.4937, recall: 0.4677, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.3058, usercpu_time_millis: 7.853, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 7.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7478, kappa: 0.624, kb_relative_information_score: 191.0673, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7521, predictive_accuracy: 0.771, prior_entropy: 1.4937, recall: 0.771, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8565, usercpu_time_millis: 1.174, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.4396, kappa: 0.1528, kb_relative_information_score: 85.1079, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.5683, predictive_accuracy: 0.5484, prior_entropy: 1.4937, recall: 0.5484, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.2028, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8139, kappa: 0.7052, kb_relative_information_score: 221.2331, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8156, predictive_accuracy: 0.8161, prior_entropy: 1.4937, recall: 0.8161, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7675, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.3756, kappa: 0.0068, kb_relative_information_score: 46.0516, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.3426, predictive_accuracy: 0.4548, prior_entropy: 1.4937, recall: 0.4548, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.6029, root_relative_squared_error: 1.3215, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8636, kappa: 0.7823, kb_relative_information_score: 241.9846, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8648, predictive_accuracy: 0.8645, prior_entropy: 1.4937, recall: 0.8645, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6588, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8109, kappa: 0.6955, kb_relative_information_score: 218.3014, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8147, predictive_accuracy: 0.8097, prior_entropy: 1.4937, recall: 0.8097, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7808, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8108, kappa: 0.7025, kb_relative_information_score: 216.4317, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8122, predictive_accuracy: 0.8161, prior_entropy: 1.4937, recall: 0.8161, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7675, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8163, kappa: 0.7123, kb_relative_information_score: 219.2407, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8187, predictive_accuracy: 0.8226, prior_entropy: 1.4937, recall: 0.8226, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7539, usercpu_time_millis: 0.134, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7927, kappa: 0.6662, kb_relative_information_score: 209.1057, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.7973, predictive_accuracy: 0.7903, prior_entropy: 1.4937, recall: 0.7903, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.8196, usercpu_time_millis: 0.126, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8034, kappa: 0.6875, kb_relative_information_score: 213.7545, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8016, predictive_accuracy: 0.8065, prior_entropy: 1.4937, recall: 0.8065, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7874, usercpu_time_millis: 1.374, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8482, kappa: 0.757, kb_relative_information_score: 235.4095, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8481, predictive_accuracy: 0.8484, prior_entropy: 1.4937, recall: 0.8484, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6969, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8492, kappa: 0.7604, kb_relative_information_score: 235.4035, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8481, predictive_accuracy: 0.8516, prior_entropy: 1.4937, recall: 0.8516, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6894, usercpu_time_millis: 14.211, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 12.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8604, kappa: 0.7772, kb_relative_information_score: 240.1957, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.8625, predictive_accuracy: 0.8613, prior_entropy: 1.4937, recall: 0.8613, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6666, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7626, kappa: 0.6193, kb_relative_information_score: 195.8267, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4165, number_of_instances: 310, precision: 0.768, predictive_accuracy: 0.7613, prior_entropy: 1.4937, recall: 0.7613, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4562, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8744, usercpu_time_millis: 1.535, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 0.969,

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