OpenML
Supervised Classification on OVA_Lung

Supervised Classification on OVA_Lung

Task 3964 Supervised Classification OVA_Lung 190 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.9835, kappa: 0.8875, kb_relative_information_score: 1310.1741, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9835, predictive_accuracy: 0.9838, prior_entropy: 0.4095, recall: 0.9838, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.881, kappa: 0.0145, kb_relative_information_score: -8157.939, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9256, predictive_accuracy: 0.9191, prior_entropy: 0.4095, recall: 0.9191, relative_absolute_error: 3.2841, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9638, kappa: 0.7544, kb_relative_information_score: 1036.9135, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9634, predictive_accuracy: 0.9644, prior_entropy: 0.4095, recall: 0.9644, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.9594, kappa: 0.702, kb_relative_information_score: 1027.805, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 0.4095, recall: 0.9638, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.9039, kappa: 0.4594, kb_relative_information_score: -1.4769, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9264, predictive_accuracy: 0.8906, prior_entropy: 0.4095, recall: 0.8906, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.9706, kappa: 0.7896, kb_relative_information_score: 1155.3264, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 0.4095, recall: 0.9728, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9545, kappa: 0.7178, kb_relative_information_score: 793.7797, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9603, predictive_accuracy: 0.9515, prior_entropy: 0.4095, recall: 0.9515, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.8794, kb_relative_information_score: 307.5118, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.281, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.9594, kappa: 0.739, kb_relative_information_score: 948.2235, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9617, predictive_accuracy: 0.9579, prior_entropy: 0.4095, recall: 0.9579, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8794, kb_relative_information_score: -9.6577, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9715, kappa: 0.8099, kb_relative_information_score: 1133.2515, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.4095, recall: 0.9715, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9757, kappa: 0.8393, kb_relative_information_score: 1081.675, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.976, predictive_accuracy: 0.9754, prior_entropy: 0.4095, recall: 0.9754, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.9181, kappa: 0.4516, kb_relative_information_score: 390.1967, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9179, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8794, kb_relative_information_score: -9.6577, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.956, kappa: 0.7247, kb_relative_information_score: 871.936, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9609, predictive_accuracy: 0.9534, prior_entropy: 0.4095, recall: 0.9534, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9774, kappa: 0.8453, kb_relative_information_score: 1142.2125, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9773, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.144, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9611, kappa: 0.7485, kb_relative_information_score: 973.1527, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9629, predictive_accuracy: 0.9599, prior_entropy: 0.4095, recall: 0.9599, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.97, kappa: 0.7944, kb_relative_information_score: 1128.0004, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9698, predictive_accuracy: 0.9709, prior_entropy: 0.4095, recall: 0.9709, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9592, kappa: 0.7411, kb_relative_information_score: 936.7179, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9573, prior_entropy: 0.4095, recall: 0.9573, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9822, kappa: 0.8785, kb_relative_information_score: 1207.1872, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9821, predictive_accuracy: 0.9825, prior_entropy: 0.4095, recall: 0.9825, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9611, kappa: 0.7485, kb_relative_information_score: 973.1527, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9629, predictive_accuracy: 0.9599, prior_entropy: 0.4095, recall: 0.9599, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.97, kappa: 0.7944, kb_relative_information_score: 1128.0004, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9698, predictive_accuracy: 0.9709, prior_entropy: 0.4095, recall: 0.9709, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9822, kappa: 0.8785, kb_relative_information_score: 1207.1872, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9821, predictive_accuracy: 0.9825, prior_entropy: 0.4095, recall: 0.9825, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9592, kappa: 0.7411, kb_relative_information_score: 936.7179, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9573, prior_entropy: 0.4095, recall: 0.9573, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9801, kappa: 0.8645, kb_relative_information_score: 1255.0794, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9801, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4862, scimark_benchmark: 1500.8083, usercpu_time_millis: 861740, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 860450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9796, kappa: 0.8569, kb_relative_information_score: 1095.4862, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4695, scimark_benchmark: 930.1844, usercpu_time_millis: 205060, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 203070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9592, kappa: 0.7411, kb_relative_information_score: 936.7179, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9573, prior_entropy: 0.4095, recall: 0.9573, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7552, scimark_benchmark: 1779.6753, usercpu_time_millis: 13390, usercpu_time_millis_testing: 8220, usercpu_time_millis_training: 5170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9699, kappa: 0.7885, kb_relative_information_score: 1049.5954, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9705, predictive_accuracy: 0.9715, prior_entropy: 0.4095, recall: 0.9715, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.6088, scimark_benchmark: 915.4133, usercpu_time_millis: 38270, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 36880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9769, kappa: 0.8391, kb_relative_information_score: 1164.111, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9775, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.4767, usercpu_time_millis: 2797.445, usercpu_time_millis_testing: 120.298, usercpu_time_millis_training: 2677.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9803, kappa: 0.8623, kb_relative_information_score: 873.7652, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.4095, recall: 0.9812, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.489, usercpu_time_millis: 231.866, usercpu_time_millis_testing: 8.281, usercpu_time_millis_training: 223.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9437, kappa: 0.6617, kb_relative_information_score: 672.5665, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.9385, prior_entropy: 0.4095, recall: 0.9385, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.248, root_relative_squared_error: 0.906, usercpu_time_millis: 1016.235, usercpu_time_millis_testing: 716.067, usercpu_time_millis_training: 300.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9706, kappa: 0.7941, kb_relative_information_score: 1030.9539, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9712, predictive_accuracy: 0.9722, prior_entropy: 0.4095, recall: 0.9722, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5556, usercpu_time_millis: 56.547, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 54.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.8794, kb_relative_information_score: -582.499, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9971, usercpu_time_millis: 52.076, usercpu_time_millis_testing: 3.266, usercpu_time_millis_training: 48.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9658, kappa: 0.7596, kb_relative_information_score: 894.675, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9661, predictive_accuracy: 0.9676, prior_entropy: 0.4095, recall: 0.9676, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5974, usercpu_time_millis: 539.725, usercpu_time_millis_testing: 536.164, usercpu_time_millis_training: 3.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.9684, kappa: 0.782, kb_relative_information_score: 1060.5189, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9683, predictive_accuracy: 0.9696, prior_entropy: 0.4095, recall: 0.9696, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5926, usercpu_time_millis: 296.663, usercpu_time_millis_testing: 87.804, usercpu_time_millis_training: 208.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9771, kappa: 0.846, kb_relative_information_score: 1219.0873, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5499, scimark_benchmark: 908.1012, usercpu_time_millis: 41230, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 40730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.8794, kb_relative_information_score: 28.9821, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.0002, scimark_benchmark: 1138.4585, usercpu_time_millis: 1285910, usercpu_time_millis_testing: 283460, usercpu_time_millis_training: 1002450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.9471, kappa: 0.6861, kb_relative_information_score: 718.1094, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9587, predictive_accuracy: 0.9417, prior_entropy: 0.4095, recall: 0.9417, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8819, scimark_benchmark: 1462.1496, usercpu_time_millis: 14980, usercpu_time_millis_testing: 6920, usercpu_time_millis_training: 8060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.8794, kb_relative_information_score: 29.0747, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.8435, predictive_accuracy: 0.9184, prior_entropy: 0.4095, recall: 0.9184, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2737, root_relative_squared_error: 1.0002, scimark_benchmark: 1378.3981, usercpu_time_millis: 999180, usercpu_time_millis_testing: 225820, usercpu_time_millis_training: 773360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.9803, kappa: 0.8665, kb_relative_information_score: 1264.6307, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9802, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.5092, scimark_benchmark: 1296.8399, usercpu_time_millis: 13770, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 13220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9771, kappa: 0.846, kb_relative_information_score: 1219.0873, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5499, scimark_benchmark: 1330.0396, usercpu_time_millis: 29720, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 29300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9846, kappa: 0.8933, kb_relative_information_score: 1163.7588, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.4095, recall: 0.9851, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.119, root_relative_squared_error: 0.4347, scimark_benchmark: 913.1146, usercpu_time_millis: 83710, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 83620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.956, kappa: 0.7247, kb_relative_information_score: 871.936, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9609, predictive_accuracy: 0.9534, prior_entropy: 0.4095, recall: 0.9534, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7893, scimark_benchmark: 1071.7602, usercpu_time_millis: 74540, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 74440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.9676, kappa: 0.7747, kb_relative_information_score: 1097.0078, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9675, predictive_accuracy: 0.9689, prior_entropy: 0.4095, recall: 0.9689, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.6436, scimark_benchmark: 1360.2311, usercpu_time_millis: 62320, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 61520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9642, kappa: 0.7435, kb_relative_information_score: 767.4562, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.966, predictive_accuracy: 0.967, prior_entropy: 0.4095, recall: 0.967, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.6366, scimark_benchmark: 1370.3468, usercpu_time_millis: 257810, usercpu_time_millis_testing: 257800, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9647, kappa: 0.7498, kb_relative_information_score: 774.0745, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9655, predictive_accuracy: 0.967, prior_entropy: 0.4095, recall: 0.967, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.6296, scimark_benchmark: 949.3222, usercpu_time_millis: 261670, usercpu_time_millis_testing: 261670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.9803, kappa: 0.8665, kb_relative_information_score: 1264.6307, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9802, predictive_accuracy: 0.9806, prior_entropy: 0.4095, recall: 0.9806, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.5092, scimark_benchmark: 898.5324, usercpu_time_millis: 8670, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.9392, kappa: 0.6225, kb_relative_information_score: 569.7015, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9456, predictive_accuracy: 0.9353, prior_entropy: 0.4095, recall: 0.9353, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9159, scimark_benchmark: 1363.5146, usercpu_time_millis: 657630, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 657360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.9716, kappa: 0.8065, kb_relative_information_score: 1110.6772, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9713, predictive_accuracy: 0.9722, prior_entropy: 0.4095, recall: 0.9722, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5999, scimark_benchmark: 1233.8983, usercpu_time_millis: 67730, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 67670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9771, kappa: 0.846, kb_relative_information_score: 1219.0873, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.4095, recall: 0.9773, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5499, scimark_benchmark: 1014.5219, usercpu_time_millis: 25140, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 24820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.9723, kappa: 0.8162, kb_relative_information_score: 1145.8157, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9725, predictive_accuracy: 0.9722, prior_entropy: 0.4095, recall: 0.9722, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5696, scimark_benchmark: 776.4411, usercpu_time_millis: 61310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 61250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9592, kappa: 0.7411, kb_relative_information_score: 936.7179, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9573, prior_entropy: 0.4095, recall: 0.9573, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7552, scimark_benchmark: 988.5996, usercpu_time_millis: 14380, usercpu_time_millis_testing: 10480, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9611, kappa: 0.7485, kb_relative_information_score: 973.1527, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9629, predictive_accuracy: 0.9599, prior_entropy: 0.4095, recall: 0.9599, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.732, scimark_benchmark: 1346.8676, usercpu_time_millis: 38420, usercpu_time_millis_testing: 10070, usercpu_time_millis_training: 28350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9514, kappa: 0.6363, kb_relative_information_score: 639.4294, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.959, predictive_accuracy: 0.9579, prior_entropy: 0.4095, recall: 0.9579, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.6545, scimark_benchmark: 1069.7868, usercpu_time_millis: 4460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9774, kappa: 0.8453, kb_relative_information_score: 1142.2125, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9773, predictive_accuracy: 0.978, prior_entropy: 0.4095, recall: 0.978, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.144, root_relative_squared_error: 0.5263, scimark_benchmark: 915.6201, usercpu_time_millis: 10470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9638, kappa: 0.7544, kb_relative_information_score: 1033.2824, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9634, predictive_accuracy: 0.9644, prior_entropy: 0.4095, recall: 0.9644, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6889, scimark_benchmark: 1079.3189, usercpu_time_millis: 151720, usercpu_time_millis_testing: 151720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.975, kappa: 0.8309, kb_relative_information_score: 1180.9804, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1503, number_of_instances: 1545, precision: 0.9748, predictive_accuracy: 0.9754, prior_entropy: 0.4095, recall: 0.9754, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.2737, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5692, scimark_benchmark: 1132.6056, usercpu_time_millis: 20010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 19980,

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