OpenML
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: 0.7826, f_measure: 0.8741, kb_relative_information_score: -198.5026, mean_absolute_error: 0.1511, 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: 0.9613, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.961, scimark_benchmark: 1375.8148, usercpu_time_millis: 4.389, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.8741, kb_relative_information_score: -235.0379, mean_absolute_error: 0.157, 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: 0.9993, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9693, scimark_benchmark: 1378.2482, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8741, kb_relative_information_score: -136.6887, mean_absolute_error: 0.1536, 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: 0.9775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.9613, scimark_benchmark: 1371.5911, usercpu_time_millis: 1.493, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8797, kappa: 0.0628, kb_relative_information_score: -203.1529, mean_absolute_error: 0.1419, 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: 0.9032, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9474, scimark_benchmark: 1376.0224, usercpu_time_millis: 10.2, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 9.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8741, kb_relative_information_score: -220.902, mean_absolute_error: 0.1479, 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: 0.9414, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9605, scimark_benchmark: 1376.2961, usercpu_time_millis: 1.482, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.0385, 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: 0.9914, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1383.4432, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.4756, 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, scimark_benchmark: 1384.3694, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.8741, kb_relative_information_score: -200.1539, mean_absolute_error: 0.1483, 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: 0.9436, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9426, scimark_benchmark: 1373.6548, usercpu_time_millis: 1.646, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -201.1001, 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: 0.9372, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.9454, scimark_benchmark: 1373.4674, usercpu_time_millis: 5.556, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 5.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8667, kappa: -0.0259, kb_relative_information_score: -219.6857, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8357, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.986, scimark_benchmark: 1382.2215, usercpu_time_millis: 9.532, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 9.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.8903, kappa: 0.2382, kb_relative_information_score: -205.3122, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8833, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2842, root_relative_squared_error: 1.0182, scimark_benchmark: 1376.8371, usercpu_time_millis: 8.343, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 8.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.8741, kb_relative_information_score: -194.6448, mean_absolute_error: 0.1502, 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: 0.9559, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9455, scimark_benchmark: 1376.2877, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -195.3253, mean_absolute_error: 0.1479, 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: 0.9412, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.943, scimark_benchmark: 1383.2186, usercpu_time_millis: 4.114, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 3.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.8826, kappa: 0.0928, kb_relative_information_score: -214.3548, mean_absolute_error: 0.1427, 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: 0.908, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.9548, scimark_benchmark: 1380.6683, usercpu_time_millis: 12.466, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 12.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8922, kappa: 0.2218, kb_relative_information_score: -201.7826, mean_absolute_error: 0.1386, 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: 0.8823, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9728, scimark_benchmark: 1380.2918, usercpu_time_millis: 9.452, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 9.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -199.7978, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.9382, scimark_benchmark: 1378.4645, usercpu_time_millis: 4.574, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 4.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.8741, kb_relative_information_score: -219.6373, 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: 0.9641, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9711, scimark_benchmark: 1366.6098, usercpu_time_millis: 5.12, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 4.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -185.9174, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.9316, scimark_benchmark: 1371.117, usercpu_time_millis: 4.194, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8741, kb_relative_information_score: -185.9802, mean_absolute_error: 0.1484, 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: 0.9443, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9527, scimark_benchmark: 1362.9781, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.8741, kb_relative_information_score: -220.021, mean_absolute_error: 0.1424, 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: 0.906, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.9467, scimark_benchmark: 1383.4277, usercpu_time_millis: 6.689, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 6.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.8741, kb_relative_information_score: -218.5472, mean_absolute_error: 0.1531, 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: 0.9743, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.9554, scimark_benchmark: 1376.0276, usercpu_time_millis: 4.552, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 4.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.8741, kb_relative_information_score: -218.449, mean_absolute_error: 0.1453, 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: 0.9247, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9522, scimark_benchmark: 1381.3035, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.8741, kb_relative_information_score: -268.4892, mean_absolute_error: 0.1598, 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: 1.0168, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9818, scimark_benchmark: 1375.8826, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: -220.2859, mean_absolute_error: 0.1389, 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: 0.8837, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.9553, scimark_benchmark: 1383.1674, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.8741, kb_relative_information_score: -207.5997, mean_absolute_error: 0.1478, 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: 0.9407, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.9538, scimark_benchmark: 1373.9866, usercpu_time_millis: 2.094, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.8826, kappa: 0.0928, kb_relative_information_score: -227.536, mean_absolute_error: 0.1438, 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: 0.9152, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.9553, scimark_benchmark: 1382.0834, usercpu_time_millis: 7.908, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 7.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -201.6808, mean_absolute_error: 0.1421, 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: 0.9042, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9357, scimark_benchmark: 1370.5954, usercpu_time_millis: 4.369, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 4.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.868, kappa: 0.1611, kb_relative_information_score: -222.6982, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0881, scimark_benchmark: 1376.7433, usercpu_time_millis: 3.206, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 3.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.8741, kb_relative_information_score: -216.6702, mean_absolute_error: 0.1434, 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: 0.9129, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9424, scimark_benchmark: 1377.5236, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.4886, 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: 0.9914, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1391.3717, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.4548, mean_absolute_error: 0.1557, 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: 0.9909, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1377.0063, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8793, kappa: 0.0791, kb_relative_information_score: -224.8687, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8662, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.9617, scimark_benchmark: 1378.5563, usercpu_time_millis: 21.287, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 20.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.8741, kb_relative_information_score: -218.0654, mean_absolute_error: 0.1565, 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: 0.9962, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.271, root_relative_squared_error: 0.9708, scimark_benchmark: 1370.7408, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -226.4092, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9483, scimark_benchmark: 1377.0053, usercpu_time_millis: 11.253, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 10.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.055, 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: 1374.7416, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.599,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.8741, kb_relative_information_score: -109.7403, mean_absolute_error: 0.1546, 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: 0.9841, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9757, scimark_benchmark: 1411.9815, usercpu_time_millis: 3.66, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 3.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8741, kb_relative_information_score: -214.5124, mean_absolute_error: 0.142, 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: 0.9037, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.9382, scimark_benchmark: 1422.0039, usercpu_time_millis: 6.115, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 5.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8741, kb_relative_information_score: -214.4091, mean_absolute_error: 0.1475, 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: 0.939, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.9579, scimark_benchmark: 1367.9775, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8741, kb_relative_information_score: -176.1241, mean_absolute_error: 0.149, 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: 0.9485, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9448, scimark_benchmark: 1379.4245, usercpu_time_millis: 2.731, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.8741, kb_relative_information_score: -217.968, mean_absolute_error: 0.1527, 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: 0.9719, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.9588, scimark_benchmark: 1377.3657, usercpu_time_millis: 3.705, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8766, kappa: 0.0307, kb_relative_information_score: -185.4754, mean_absolute_error: 0.141, 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: 0.8973, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.9338, scimark_benchmark: 1368.0062, usercpu_time_millis: 7.046, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 6.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.8826, kappa: 0.0928, kb_relative_information_score: -225.0095, mean_absolute_error: 0.1427, 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: 0.908, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.267, root_relative_squared_error: 0.9564, scimark_benchmark: 1379.3502, usercpu_time_millis: 2.086, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8741, kb_relative_information_score: -229.1687, mean_absolute_error: 0.1427, 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: 0.9079, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9462, scimark_benchmark: 1368.9152, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -188.3812, mean_absolute_error: 0.1461, 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: 0.93, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9357, scimark_benchmark: 1375.4447, usercpu_time_millis: 4.181, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 3.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.8785, kappa: 0.1687, kb_relative_information_score: -184.1344, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8713, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2905, root_relative_squared_error: 1.0407, scimark_benchmark: 1375.8661, usercpu_time_millis: 14.161, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 13.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8852, kappa: 0.2184, kb_relative_information_score: -226.5192, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8791, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0333, scimark_benchmark: 1387.3781, usercpu_time_millis: 17.482, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 17.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.8713, kappa: -0.0105, kb_relative_information_score: -241.1476, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8365, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.9562, scimark_benchmark: 1381.0694, usercpu_time_millis: 1.733, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -188.1726, 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: 0.9241, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.9367, scimark_benchmark: 1379.6649, usercpu_time_millis: 2.443, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.8741, kb_relative_information_score: -223.1805, mean_absolute_error: 0.1538, 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: 0.9788, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.9566, scimark_benchmark: 1380.75, usercpu_time_millis: 4.212, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 3.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8741, kb_relative_information_score: -219.2206, mean_absolute_error: 0.1408, 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: 0.8961, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.944, scimark_benchmark: 1377.9138, usercpu_time_millis: 4.093, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 3.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.8826, kappa: 0.0928, kb_relative_information_score: -196.2233, mean_absolute_error: 0.1397, 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: 0.8891, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.9461, scimark_benchmark: 1378.98, usercpu_time_millis: 8.416, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 8.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8899, kappa: 0.1425, kb_relative_information_score: -196.4637, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9111, predictive_accuracy: 0.9204, prior_entropy: 0.4254, recall: 0.9204, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.9429, scimark_benchmark: 1375.5014, usercpu_time_millis: 5.749, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 5.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8667, kappa: -0.0259, kb_relative_information_score: -222.2098, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8357, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9848, scimark_benchmark: 1368.7467, usercpu_time_millis: 2.604, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 2.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -215.0298, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8823, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9486, scimark_benchmark: 1369.6875, usercpu_time_millis: 12.752, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 12.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.8741, kb_relative_information_score: -196.5757, mean_absolute_error: 0.1474, 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: 0.9384, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.9513, scimark_benchmark: 1378.6127, usercpu_time_millis: 2.666, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8741, kb_relative_information_score: -204.3597, mean_absolute_error: 0.1453, 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: 0.9245, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.9459, scimark_benchmark: 1383.2964, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.8741, kb_relative_information_score: -162.2086, mean_absolute_error: 0.153, 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: 0.9739, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.9615, scimark_benchmark: 1363.2295, usercpu_time_millis: 0.654, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.8741, kb_relative_information_score: -214.6488, mean_absolute_error: 0.1447, 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: 0.9209, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9475, scimark_benchmark: 1374.7157, usercpu_time_millis: 6.179, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 5.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, f_measure: 0.8741, kb_relative_information_score: 1.9046, mean_absolute_error: 0.1556, 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: 0.9902, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1375.9122, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, f_measure: 0.8741, kb_relative_information_score: 0.005, 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: 0.9924, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1372.5851, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.8741, kb_relative_information_score: -127.5109, mean_absolute_error: 0.1521, 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: 0.9677, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.9695, scimark_benchmark: 1380.0733, usercpu_time_millis: 1.37, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -207.3722, mean_absolute_error: 0.1494, 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: 0.9507, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9463, scimark_benchmark: 1376.8408, usercpu_time_millis: 3.947, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 3.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 0.8753, 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: 0.9928, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1376.4003, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8723, kappa: -0.0072, kb_relative_information_score: -214.5099, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8366, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9476, scimark_benchmark: 1378.5317, usercpu_time_millis: 7.835, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 7.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 3.2232, mean_absolute_error: 0.1555, 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: 0.9898, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1376.4566, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.8741, kb_relative_information_score: -189.1749, mean_absolute_error: 0.1485, 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: 0.9453, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9443, scimark_benchmark: 1384.5569, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 4.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8741, kb_relative_information_score: -201.1401, mean_absolute_error: 0.1505, 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: 0.9578, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9475, scimark_benchmark: 1380.4727, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -238.8783, mean_absolute_error: 0.1448, 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: 0.9213, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.9536, scimark_benchmark: 1380.8253, usercpu_time_millis: 9.427, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 9.214,

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