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: 0.7894, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -214.5904, mean_absolute_error: 0.1453, 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: 0.9249, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9464, scimark_benchmark: 1367.7032, usercpu_time_millis: 3.452, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 3.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.8818, kappa: 0.072, kb_relative_information_score: -210.2952, mean_absolute_error: 0.1441, 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: 0.9171, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.9512, scimark_benchmark: 1373.1492, usercpu_time_millis: 6.307, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -212.4752, mean_absolute_error: 0.1475, 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: 0.9387, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9443, scimark_benchmark: 1375.4718, usercpu_time_millis: 6.073, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 5.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.8766, kappa: 0.0307, kb_relative_information_score: -228.3018, mean_absolute_error: 0.1495, 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: 0.9514, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9544, scimark_benchmark: 1376.5618, usercpu_time_millis: 6.73, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 6.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8741, kb_relative_information_score: -213.6657, mean_absolute_error: 0.1423, 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: 0.9054, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.9419, scimark_benchmark: 1376.5318, usercpu_time_millis: 4.852, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 4.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -212.4507, mean_absolute_error: 0.1432, 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: 0.9115, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.948, scimark_benchmark: 1376.3517, usercpu_time_millis: 12.32, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 11.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8741, kb_relative_information_score: -214.0208, mean_absolute_error: 0.1437, 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: 0.9144, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.9431, scimark_benchmark: 1374.7883, usercpu_time_millis: 5.251, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 4.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.8741, kb_relative_information_score: -264.2679, mean_absolute_error: 0.1452, 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: 0.9243, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9623, scimark_benchmark: 1372.721, usercpu_time_millis: 6.692, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 6.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.7406, 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: 1380.2786, usercpu_time_millis: 1.117, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -197.616, mean_absolute_error: 0.1429, 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: 0.9094, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.9346, scimark_benchmark: 1380.3516, usercpu_time_millis: 9.03, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 8.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.8741, kb_relative_information_score: -151.7856, 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: 0.9437, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.9624, scimark_benchmark: 1373.8735, usercpu_time_millis: 1.723, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8741, kb_relative_information_score: -235.2022, mean_absolute_error: 0.1541, 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: 0.9809, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.268, root_relative_squared_error: 0.9599, scimark_benchmark: 1374.7536, usercpu_time_millis: 1.189, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -213.7733, mean_absolute_error: 0.1442, 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: 0.9177, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.9379, scimark_benchmark: 1379.0765, usercpu_time_millis: 3.554, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 3.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.8741, kb_relative_information_score: -222.0859, 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: 0.2701, root_relative_squared_error: 0.9676, scimark_benchmark: 1377.7347, usercpu_time_millis: 4.646, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 4.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8741, kb_relative_information_score: -144.5836, mean_absolute_error: 0.1524, 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: 0.9702, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.9646, scimark_benchmark: 1380.0533, usercpu_time_millis: 2.388, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8741, kb_relative_information_score: -235.6316, mean_absolute_error: 0.1442, 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: 0.9179, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.951, scimark_benchmark: 1382.0448, usercpu_time_millis: 2.733, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 2.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.8741, kb_relative_information_score: -192.2315, 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: 0.9541, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.9505, scimark_benchmark: 1379.4511, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.8723, kappa: -0.0072, kb_relative_information_score: -218.9013, mean_absolute_error: 0.1482, 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: 0.9435, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.9495, scimark_benchmark: 1381.2243, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8848, kappa: 0.1027, kb_relative_information_score: -197.4097, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8924, predictive_accuracy: 0.9167, prior_entropy: 0.4254, recall: 0.9167, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9441, scimark_benchmark: 1380.0432, usercpu_time_millis: 8.346, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 8.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.8741, kb_relative_information_score: -222.2098, mean_absolute_error: 0.1563, 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: 0.995, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.9705, scimark_benchmark: 1383.283, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8914, kappa: 0.1641, kb_relative_information_score: -195.3497, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8976, predictive_accuracy: 0.9185, prior_entropy: 0.4254, recall: 0.9185, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9465, scimark_benchmark: 1380.1088, usercpu_time_millis: 6.646, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 6.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -198.7373, mean_absolute_error: 0.1458, 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: 0.9278, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.263, root_relative_squared_error: 0.9421, scimark_benchmark: 1377.7885, usercpu_time_millis: 2.987, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 2.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.8741, kb_relative_information_score: -155.7128, mean_absolute_error: 0.1516, 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: 0.9647, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.9576, scimark_benchmark: 1373.3029, usercpu_time_millis: 2.095, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.8741, kb_relative_information_score: -181.2136, 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: 0.2647, root_relative_squared_error: 0.9483, scimark_benchmark: 1372.6079, usercpu_time_millis: 2.327, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8741, kb_relative_information_score: -199.4218, mean_absolute_error: 0.1455, 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: 0.9259, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.9437, scimark_benchmark: 1372.0088, usercpu_time_millis: 1.261, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8741, kb_relative_information_score: -193.932, mean_absolute_error: 0.1522, 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: 0.9684, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9489, scimark_benchmark: 1380.5553, usercpu_time_millis: 2.432, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.8871, kappa: 0.2008, kb_relative_information_score: -190.2345, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8785, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9841, scimark_benchmark: 1386.3484, usercpu_time_millis: 12.852, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 12.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -194.0266, mean_absolute_error: 0.1399, 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: 0.8904, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.9336, scimark_benchmark: 1380.0981, usercpu_time_millis: 6.117, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 5.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.8723, kappa: -0.0072, kb_relative_information_score: -280.1655, mean_absolute_error: 0.1564, 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: 0.9952, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9863, scimark_benchmark: 1381.2076, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.4131, 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: 0.991, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1390.0451, usercpu_time_millis: 1.194, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8741, kb_relative_information_score: -184.0846, mean_absolute_error: 0.1477, 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: 0.94, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9527, scimark_benchmark: 1376.4437, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, f_measure: 0.8741, kb_relative_information_score: 2.7875, 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: 1381.1257, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.8741, kb_relative_information_score: -240.4121, mean_absolute_error: 0.1593, 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: 1.0139, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9757, scimark_benchmark: 1373.791, usercpu_time_millis: 2.759, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8741, kb_relative_information_score: -173.4983, mean_absolute_error: 0.15, 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: 0.9546, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.9468, scimark_benchmark: 1372.7579, usercpu_time_millis: 2.984, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 2.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -191.3846, 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: 0.9369, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.9416, scimark_benchmark: 1382.7834, usercpu_time_millis: 1.141, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.048,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -185.0547, mean_absolute_error: 0.145, 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: 0.9226, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9352, scimark_benchmark: 1373.0304, usercpu_time_millis: 4.088, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 3.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8741, kb_relative_information_score: -185.5458, mean_absolute_error: 0.1489, 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: 0.9473, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.263, root_relative_squared_error: 0.9421, scimark_benchmark: 1371.8718, usercpu_time_millis: 4.761, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 4.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -194.7651, mean_absolute_error: 0.1483, 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: 0.944, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.263, root_relative_squared_error: 0.942, scimark_benchmark: 1372.4696, usercpu_time_millis: 2.256, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 2.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.8741, kb_relative_information_score: -138.3374, mean_absolute_error: 0.1518, 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: 0.9659, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.965, scimark_benchmark: 1373.546, usercpu_time_millis: 2.327, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.8741, kb_relative_information_score: -213.8503, mean_absolute_error: 0.1459, 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: 0.9286, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9482, scimark_benchmark: 1372.2881, usercpu_time_millis: 0.631, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.8741, kb_relative_information_score: -169.9109, mean_absolute_error: 0.1487, 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: 0.9462, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.9597, scimark_benchmark: 1371.8524, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -206.5868, mean_absolute_error: 0.1454, 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: 0.9254, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9456, scimark_benchmark: 1373.937, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8837, kappa: 0.0976, kb_relative_information_score: -210.8871, mean_absolute_error: 0.1422, 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: 0.9049, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.951, scimark_benchmark: 2040.2967, usercpu_time_millis: 3.583, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 3.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.8934, kappa: 0.2016, kb_relative_information_score: -197.7795, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8896, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.9653, scimark_benchmark: 1748.2551, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -186.8228, mean_absolute_error: 0.145, 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: 0.9231, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.9377, scimark_benchmark: 1762.5615, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8875, kappa: 0.215, kb_relative_information_score: -204.2924, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8797, predictive_accuracy: 0.8981, prior_entropy: 0.4254, recall: 0.8981, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2819, root_relative_squared_error: 1.0097, scimark_benchmark: 1767.4385, usercpu_time_millis: 7.055, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 6.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -199.1836, mean_absolute_error: 0.143, 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: 0.9099, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9352, scimark_benchmark: 2024.0086, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8713, kappa: -0.0105, kb_relative_information_score: -225.5081, mean_absolute_error: 0.1422, 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: 0.9049, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.266, root_relative_squared_error: 0.953, scimark_benchmark: 2030.1624, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -204.1708, mean_absolute_error: 0.143, 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: 0.9103, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.9388, scimark_benchmark: 1916.1094, usercpu_time_millis: 7.66, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 7.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.672, 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: 0.9911, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1741.0443, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -216.68, 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: 0.9243, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.9413, scimark_benchmark: 1855.6522, usercpu_time_millis: 2.026, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.8741, kb_relative_information_score: -256.5611, mean_absolute_error: 0.159, 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: 1.012, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.975, scimark_benchmark: 2006.8586, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5614, 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: 0.9919, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1748.148, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.4425, 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: 0.9917, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1751.1809, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8741, kb_relative_information_score: -164.5379, mean_absolute_error: 0.1516, 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: 0.9646, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.9566, scimark_benchmark: 1750.1349, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.8741, kb_relative_information_score: -217.4465, mean_absolute_error: 0.1509, 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: 0.9603, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9692, scimark_benchmark: 1777.8459, usercpu_time_millis: 3.422, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 3.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.8741, kb_relative_information_score: -179.4289, mean_absolute_error: 0.1465, 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: 0.9325, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.9417, scimark_benchmark: 1821.5585, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.0243, 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: 0.9926, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1795.4046, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8756, kappa: 0.0267, kb_relative_information_score: -216.2154, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8593, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.9534, scimark_benchmark: 1753.7527, usercpu_time_millis: 9.068, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 8.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8741, kb_relative_information_score: -147.4347, mean_absolute_error: 0.152, 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: 0.9675, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.9666, scimark_benchmark: 1797.0312, usercpu_time_millis: 3.016, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 2.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8741, kb_relative_information_score: -230.5566, mean_absolute_error: 0.1402, 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: 0.8923, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9488, scimark_benchmark: 1791.5864, usercpu_time_millis: 2.502, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.8741, kb_relative_information_score: 0.5297, 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: 1.0002, scimark_benchmark: 1801.7764, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: -286.9977, mean_absolute_error: 0.1436, 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: 0.9142, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.9667, scimark_benchmark: 1786.8203, usercpu_time_millis: 6.822, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.886, kappa: 0.1078, kb_relative_information_score: -206.8699, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9053, predictive_accuracy: 0.9185, prior_entropy: 0.4254, recall: 0.9185, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.944, scimark_benchmark: 1785.456, usercpu_time_millis: 2.824, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.8741, kb_relative_information_score: -263.0982, mean_absolute_error: 0.1445, 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: 0.9195, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9603, scimark_benchmark: 1745.4265, usercpu_time_millis: 2.949, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 2.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5991, 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: 0.9917, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1791.8942, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.4888, 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: 1829.3621, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.8871, kappa: 0.2008, kb_relative_information_score: -184.859, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8785, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2793, root_relative_squared_error: 1.0004, scimark_benchmark: 1785.1433, usercpu_time_millis: 13.09, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 12.719,

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