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: 0.7991, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -204.1599, 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: 0.9411, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9449, scimark_benchmark: 1805.0856, usercpu_time_millis: 4.978, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -212.7398, 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: 0.9414, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9519, scimark_benchmark: 1750.0497, usercpu_time_millis: 3.785, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.8741, kb_relative_information_score: -183.1935, mean_absolute_error: 0.1503, 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: 0.9568, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.9514, scimark_benchmark: 1793.626, usercpu_time_millis: 2.814, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 2.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -200.3333, mean_absolute_error: 0.1407, 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: 0.8957, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9451, scimark_benchmark: 1796.9464, usercpu_time_millis: 3.057, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -224.3575, mean_absolute_error: 0.1413, 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: 0.8993, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.9453, scimark_benchmark: 1775.4256, usercpu_time_millis: 2.532, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8741, kb_relative_information_score: 2.8569, mean_absolute_error: 0.1554, 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: 0.9891, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1767.7509, usercpu_time_millis: 0.159, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8864, kappa: 0.1261, kb_relative_information_score: -192.5216, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8852, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9464, scimark_benchmark: 1988.1982, usercpu_time_millis: 10.086, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 9.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.5788, 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: 0.9918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1811.3784, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.8818, kappa: 0.072, kb_relative_information_score: -214.4653, mean_absolute_error: 0.1443, 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: 0.9186, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.9508, scimark_benchmark: 1791.3297, usercpu_time_millis: 8.902, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 8.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -200.3445, mean_absolute_error: 0.1422, 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: 0.9052, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.9498, scimark_benchmark: 1750.4915, usercpu_time_millis: 5.336, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 5.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.8741, kb_relative_information_score: -222.4641, mean_absolute_error: 0.1535, 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: 0.9769, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9677, scimark_benchmark: 1781.0003, usercpu_time_millis: 4.095, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8741, kb_relative_information_score: -144.1405, mean_absolute_error: 0.1532, 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: 0.9749, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.9645, scimark_benchmark: 1847.6423, usercpu_time_millis: 2.174, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.8741, kb_relative_information_score: -258.4371, mean_absolute_error: 0.1603, 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: 1.0205, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.97, scimark_benchmark: 1791.2576, usercpu_time_millis: 2.261, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.6114, 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: 1843.6285, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.8871, kappa: 0.2008, kb_relative_information_score: -186.3359, mean_absolute_error: 0.1368, 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: 0.8703, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9956, scimark_benchmark: 1752.8073, usercpu_time_millis: 16.9, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 16.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8741, kb_relative_information_score: -123.1573, 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: 0.9736, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9717, scimark_benchmark: 1735.8967, usercpu_time_millis: 1.787, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -218.0561, mean_absolute_error: 0.1498, 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: 0.9533, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9529, scimark_benchmark: 1736.8008, usercpu_time_millis: 2.276, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 2.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.8965, kappa: 0.2529, kb_relative_information_score: -203.8434, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.89, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9798, scimark_benchmark: 1746.226, usercpu_time_millis: 5.899, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 5.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.896, kappa: 0.239, kb_relative_information_score: -182.7645, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8902, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.9654, scimark_benchmark: 1741.2399, usercpu_time_millis: 1.915, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.8741, kb_relative_information_score: -201.9664, 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: 0.9255, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9482, scimark_benchmark: 1744.5659, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -197.5186, mean_absolute_error: 0.1415, 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: 0.9003, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.9391, scimark_benchmark: 1746.6883, usercpu_time_millis: 6.154, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 5.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.8901, kappa: 0.1584, kb_relative_information_score: -210.8734, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8915, predictive_accuracy: 0.9167, prior_entropy: 0.4254, recall: 0.9167, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.9583, scimark_benchmark: 1720.5141, usercpu_time_millis: 4.496, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 4.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8899, kappa: 0.1425, kb_relative_information_score: -195.22, mean_absolute_error: 0.1389, 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: 0.8837, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.9404, scimark_benchmark: 1737.6591, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8808, kappa: 0.0673, kb_relative_information_score: -197.044, mean_absolute_error: 0.141, 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: 0.8973, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.9388, scimark_benchmark: 1639.3741, usercpu_time_millis: 3.089, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.8663, 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: 1733.9317, usercpu_time_millis: 0.782, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8741, kb_relative_information_score: -180.8684, mean_absolute_error: 0.1519, 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: 0.9664, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.9581, scimark_benchmark: 1738.228, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.886, kappa: 0.1078, kb_relative_information_score: -211.0077, mean_absolute_error: 0.1424, 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: 0.9063, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.263, root_relative_squared_error: 0.9421, scimark_benchmark: 1749.1199, usercpu_time_millis: 7.001, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 6.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8741, kb_relative_information_score: -201.1082, mean_absolute_error: 0.1458, 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: 0.9276, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.9418, scimark_benchmark: 1741.2399, usercpu_time_millis: 3.275, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 3.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8741, kb_relative_information_score: -206.7944, mean_absolute_error: 0.1457, 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: 0.9272, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.9407, scimark_benchmark: 1747.6991, usercpu_time_millis: 2.691, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 2.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8741, kb_relative_information_score: -170.7561, mean_absolute_error: 0.154, 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: 0.9802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9636, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.959, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.5254, 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: 0.9927, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1747.403, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.8741, kb_relative_information_score: -194.1354, mean_absolute_error: 0.1461, 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: 0.9299, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.9479, scimark_benchmark: 1740.8392, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -217.0657, mean_absolute_error: 0.1468, 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: 0.9341, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.9504, scimark_benchmark: 1750.8922, usercpu_time_millis: 9.193, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 8.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.8741, kb_relative_information_score: -262.1059, mean_absolute_error: 0.1439, 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: 0.916, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.9589, scimark_benchmark: 1740.8392, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 2.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -243.2402, mean_absolute_error: 0.1544, 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: 0.9825, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.9613, scimark_benchmark: 1745.7305, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.8818, kappa: 0.072, kb_relative_information_score: -198.6267, mean_absolute_error: 0.1417, 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: 0.9019, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.9397, scimark_benchmark: 1697.8184, usercpu_time_millis: 9.962, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 9.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8741, kb_relative_information_score: -221.5065, mean_absolute_error: 0.1436, 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: 0.9138, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9456, scimark_benchmark: 1744.9079, usercpu_time_millis: 7.158, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 6.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.8837, kappa: 0.0976, kb_relative_information_score: -219.1518, mean_absolute_error: 0.1423, 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: 0.9055, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.9534, scimark_benchmark: 1775.765, usercpu_time_millis: 2.438, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 2.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -204.5388, 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: 0.2638, root_relative_squared_error: 0.9452, scimark_benchmark: 1754.1079, usercpu_time_millis: 2.477, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 2.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -196.6259, mean_absolute_error: 0.1417, 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: 0.9021, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.9343, scimark_benchmark: 1742.2915, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.8741, kb_relative_information_score: -224.6516, mean_absolute_error: 0.1476, 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: 0.9392, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9592, scimark_benchmark: 1745.3654, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.8741, kb_relative_information_score: -214.7729, 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: 0.9444, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.9607, scimark_benchmark: 1741.1835, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.8741, kb_relative_information_score: -2.8332, 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: 0.9922, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0002, scimark_benchmark: 1977.5056, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8741, kb_relative_information_score: -251.1394, mean_absolute_error: 0.1493, 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: 0.9503, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9718, scimark_benchmark: 1759.6217, usercpu_time_millis: 7.002, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 6.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.8741, kb_relative_information_score: -232.3591, mean_absolute_error: 0.1481, 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: 0.9425, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9605, scimark_benchmark: 1746.226, usercpu_time_millis: 7.269, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 6.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.8741, kb_relative_information_score: -149.1308, 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: 0.2712, root_relative_squared_error: 0.9715, scimark_benchmark: 1751.5229, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.8741, kb_relative_information_score: -271.3361, 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: 0.9143, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.9572, scimark_benchmark: 2166.4054, usercpu_time_millis: 4.598, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 4.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -204.7613, mean_absolute_error: 0.1449, 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: 0.9224, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.943, scimark_benchmark: 1752.4403, usercpu_time_millis: 7.378, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 6.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8853, kappa: 0.1209, kb_relative_information_score: -199.0311, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8803, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9487, scimark_benchmark: 1723.9526, usercpu_time_millis: 9.472, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 9.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.8741, kb_relative_information_score: -5.4385, 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: 0.9899, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0003, scimark_benchmark: 1727.6667, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.8741, kb_relative_information_score: -136.9932, mean_absolute_error: 0.1543, 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: 0.9822, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.9619, scimark_benchmark: 1744.9682, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8787, kappa: 0.0584, kb_relative_information_score: -203.9963, mean_absolute_error: 0.1428, 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: 0.909, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.9509, scimark_benchmark: 2110.3071, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.8741, kb_relative_information_score: -258.8333, 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: 0.2687, root_relative_squared_error: 0.9624, scimark_benchmark: 2162.8938, usercpu_time_millis: 3.93, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 3.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.8741, kb_relative_information_score: -185.2892, mean_absolute_error: 0.1476, 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: 0.9396, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.9412, scimark_benchmark: 1725.4476, usercpu_time_millis: 4.106, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 3.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8741, kb_relative_information_score: -172.982, mean_absolute_error: 0.1493, 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: 0.9505, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.9454, scimark_benchmark: 1753.5076, usercpu_time_millis: 2.125, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5622, 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: 1742.3998, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -197.2689, mean_absolute_error: 0.1428, 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: 0.9089, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.261, root_relative_squared_error: 0.935, scimark_benchmark: 2053.6737, usercpu_time_millis: 5.688, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 5.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.8741, kb_relative_information_score: -243.946, mean_absolute_error: 0.1595, 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: 1.0148, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9736, scimark_benchmark: 1742.1875, usercpu_time_millis: 0.947, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 0.1339, 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: 1.0002, scimark_benchmark: 1756.6497, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -211.1418, mean_absolute_error: 0.1451, 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: 0.9236, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9463, scimark_benchmark: 1800.0839, usercpu_time_millis: 1.498, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.8741, kb_relative_information_score: -224.8961, mean_absolute_error: 0.1472, 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: 0.9368, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.9585, scimark_benchmark: 1788.3095, usercpu_time_millis: 2.635, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.8797, kappa: 0.0628, kb_relative_information_score: -214.1691, mean_absolute_error: 0.1428, 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: 0.9085, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.948, scimark_benchmark: 1741.8386, usercpu_time_millis: 4.894, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 4.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8837, kappa: 0.0976, kb_relative_information_score: -215.0623, mean_absolute_error: 0.1418, 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: 0.9026, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.9532, scimark_benchmark: 1753.6457, usercpu_time_millis: 9.219, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 8.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -193.0377, mean_absolute_error: 0.1414, 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: 0.9, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9328, scimark_benchmark: 1712.5122, usercpu_time_millis: 6.257, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 5.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8876, kappa: 0.1314, kb_relative_information_score: -207.7975, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8914, predictive_accuracy: 0.9167, prior_entropy: 0.4254, recall: 0.9167, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9527, scimark_benchmark: 1970.634, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8723, kappa: -0.0072, kb_relative_information_score: -224.721, mean_absolute_error: 0.1396, 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: 0.8886, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9488, scimark_benchmark: 1729.4255, usercpu_time_millis: 7.991, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 7.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8741, kb_relative_information_score: -231.1733, mean_absolute_error: 0.1433, 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: 0.9119, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.9447, scimark_benchmark: 1727.5667, usercpu_time_millis: 4.1, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 3.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8741, kb_relative_information_score: -192.4654, 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: 0.2673, root_relative_squared_error: 0.9576, scimark_benchmark: 2164.8972, usercpu_time_millis: 6.624, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 6.011,

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