Task
Supervised Classification on climate-model-simulation-crashes

Supervised Classification on climate-model-simulation-crashes

Task 145839 Supervised Classification climate-model-simulation-crashes 60811 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.8865, kappa: 0.1422, kb_relative_information_score: -100.8585, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8793, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8854, kappa: 0.1807, kb_relative_information_score: -144.6712, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8758, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8741, kb_relative_information_score: -114.3915, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.9102, kappa: 0.4182, kb_relative_information_score: 58.9862, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9094, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: -9.3508, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8682, kappa: 0.0215, kb_relative_information_score: -387.6486, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8486, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.8805, kappa: 0.1622, kb_relative_information_score: 27.0572, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8713, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3157, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8727, kappa: 0.1627, kb_relative_information_score: -99.4564, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8696, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3284, root_relative_squared_error: 1.1762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.8873, kappa: 0.2913, kb_relative_information_score: -55.7617, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8896, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8984, kappa: 0.2947, kb_relative_information_score: -5.6151, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8925, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.8787, kappa: 0.0584, kb_relative_information_score: 96.7877, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8678, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.8716, kappa: 0.0121, kb_relative_information_score: -250.0095, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8481, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8936, kappa: 0.3898, kb_relative_information_score: -263.4707, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9081, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2842, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: -9.3508, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8795, kappa: 0.1138, kb_relative_information_score: -188.1295, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8666, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.8741, kb_relative_information_score: -50.6529, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: -9.3508, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.8734, kappa: 0.0386, kb_relative_information_score: -175.6224, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8542, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5007, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.9051, kappa: 0.3447, kb_relative_information_score: -93.8155, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9003, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8879, kappa: 0.2404, kb_relative_information_score: -80.5869, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8824, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.9036, kappa: 0.347, kb_relative_information_score: 45.1645, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8994, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2946, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8914, kappa: 0.3589, kb_relative_information_score: -217.8289, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9018, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8741, kb_relative_information_score: 137.8129, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8876, kappa: 0.3613, kb_relative_information_score: -236.3101, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9038, predictive_accuracy: 0.8759, prior_entropy: 0.4254, recall: 0.8759, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2847, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8766, kappa: 0.0307, kb_relative_information_score: -151.3572, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8665, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8741, kb_relative_information_score: 137.8129, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.9036, kappa: 0.347, kb_relative_information_score: 45.1645, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8994, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2946, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.8625, kappa: 0.0597, kb_relative_information_score: -171.1888, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8537, predictive_accuracy: 0.8722, prior_entropy: 0.4254, recall: 0.8722, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3093, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8938, kappa: 0.3511, kb_relative_information_score: -185.2712, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8995, predictive_accuracy: 0.8889, prior_entropy: 0.4254, recall: 0.8889, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8741, kb_relative_information_score: 137.8129, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8766, kappa: 0.0307, kb_relative_information_score: -189.7035, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8665, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9356, scimark_benchmark: 1779.4209, usercpu_time_millis: 5.786, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 5.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -201.9031, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.9416, scimark_benchmark: 1719.947, usercpu_time_millis: 4.534, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 4.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: -314.6825, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8363, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9822, scimark_benchmark: 1805.9246, usercpu_time_millis: 4.491, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -187.4051, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.9412, scimark_benchmark: 1808.2292, usercpu_time_millis: 3.342, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 3.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.8741, kb_relative_information_score: -168.9041, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.9545, scimark_benchmark: 2145.3581, usercpu_time_millis: 2.654, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: -313.6028, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8363, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9862, scimark_benchmark: 1709.9252, usercpu_time_millis: 5.482, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 5.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.8818, kappa: 0.072, kb_relative_information_score: -197.638, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8966, predictive_accuracy: 0.9167, prior_entropy: 0.4254, recall: 0.9167, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9353, scimark_benchmark: 1720.4557, usercpu_time_millis: 1.791, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.8741, kb_relative_information_score: -141.2328, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9661, scimark_benchmark: 1746.2876, usercpu_time_millis: 1.981, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.8741, kb_relative_information_score: -145.5696, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9676, scimark_benchmark: 1749.9829, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.8741, kb_relative_information_score: -221.9633, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9528, scimark_benchmark: 1749.9829, usercpu_time_millis: 4.094, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 3.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8826, kappa: 0.0928, kb_relative_information_score: -223.4287, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8775, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.9545, scimark_benchmark: 1780.0255, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8797, kappa: 0.0628, kb_relative_information_score: -201.4423, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8737, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9475, scimark_benchmark: 1821.4849, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.328,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -195.2136, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9356, scimark_benchmark: 1761.3338, usercpu_time_millis: 4.804, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 4.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.8913, kappa: 0.2304, kb_relative_information_score: -201.8878, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8835, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.9975, scimark_benchmark: 1769.533, usercpu_time_millis: 5.769, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 5.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8837, kappa: 0.0976, kb_relative_information_score: -200.8873, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8837, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.9401, scimark_benchmark: 1754.34, usercpu_time_millis: 4.175, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 4.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.8741, kb_relative_information_score: -203.8246, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.268, root_relative_squared_error: 0.96, scimark_benchmark: 1766.126, usercpu_time_millis: 3.843, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.8741, kb_relative_information_score: -232.6297, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.9561, scimark_benchmark: 1740.384, usercpu_time_millis: 6.45, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 6.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.8818, kappa: 0.072, kb_relative_information_score: -192.549, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8966, predictive_accuracy: 0.9167, prior_entropy: 0.4254, recall: 0.9167, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.9317, scimark_benchmark: 1769.8685, usercpu_time_millis: 1.732, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8741, kb_relative_information_score: -185.506, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9517, scimark_benchmark: 1777.3892, usercpu_time_millis: 2.601, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.0763, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1750.0927, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -200.4233, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.9453, scimark_benchmark: 1771.231, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.719, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1770.5634, usercpu_time_millis: 0.72, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.8727, kappa: 0.0552, kb_relative_information_score: -256.1416, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8557, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.277, root_relative_squared_error: 0.9921, scimark_benchmark: 1768.6081, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.8741, kb_relative_information_score: -153.393, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.9668, scimark_benchmark: 1777.3892, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.168, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1741.1835, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.0662, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1739.0223, usercpu_time_millis: 0.495, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8741, kb_relative_information_score: -220.9845, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.265, root_relative_squared_error: 0.9492, scimark_benchmark: 1751.2522, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -229.4763, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.9573, scimark_benchmark: 1743.4191, usercpu_time_millis: 8.579, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 8.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.8741, kb_relative_information_score: -226.7529, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.9502, scimark_benchmark: 1711.5575, usercpu_time_millis: 5.912, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 5.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8922, kappa: 0.2218, kb_relative_information_score: -199.1202, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8843, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9748, scimark_benchmark: 1749.5206, usercpu_time_millis: 10.219, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 9.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8741, kb_relative_information_score: -205.4958, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.9429, scimark_benchmark: 1715.7029, usercpu_time_millis: 4.685, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 4.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8741, kb_relative_information_score: -188.0924, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9602, scimark_benchmark: 1748.7827, usercpu_time_millis: 4.654, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 4.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.8741, kb_relative_information_score: -220.7226, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9441, scimark_benchmark: 1723.5226, usercpu_time_millis: 5.128, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 4.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.8741, kb_relative_information_score: -213.3699, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9519, scimark_benchmark: 1738.5126, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 3.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.8741, kb_relative_information_score: -209.0693, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9523, scimark_benchmark: 1747.6591, usercpu_time_millis: 4.225, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 3.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -184.7182, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.9332, scimark_benchmark: 1725.4692, usercpu_time_millis: 6.089, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 5.596,

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