Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1765 Supervised Classification anneal 298 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, build_cpu_time: 0.0003, build_memory: 1059521060, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, build_memory: 1045537898.4, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, build_cpu_time: 0.0004, build_memory: 911431418.4, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.0013, build_memory: 177463428.8, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 2075.5389, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.0395, build_memory: 165974284, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4027.4061, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3482, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.0114, build_memory: 69034052.8, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.0608, build_memory: 137498417.6, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4027.4061, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3482, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 2.5043, build_memory: 1002280185.6, f_measure: 0.9892, kappa: 0.9733, kb_relative_information_score: 4254.8208, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.2149, recall: 0.9893, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.2283, scimark_benchmark: 939.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 5.5324, build_memory: 1671418868, f_measure: 0.9905, kappa: 0.9766, kb_relative_information_score: 4265.4437, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 1.2149, recall: 0.9906, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.2118, scimark_benchmark: 940.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.156, build_memory: 591962320, f_measure: 0.9888, kappa: 0.9727, kb_relative_information_score: 4231.9, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 1.2149, recall: 0.9891, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2326, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 9.8346, build_memory: 837590192, f_measure: 0.9918, kappa: 0.9799, kb_relative_information_score: 4281.8905, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 1.2149, recall: 0.992, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1985, scimark_benchmark: 930.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, build_cpu_time: 1.3229, build_memory: 1168111459.2, f_measure: 0.9889, kappa: 0.9728, kb_relative_information_score: 4242.6171, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 1.2149, recall: 0.9891, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.2316, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.0128, build_memory: 108096474.4, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5532, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, build_cpu_time: 0.3241, build_memory: 131525885.6, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 4299.3914, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.181, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.0968, build_memory: 129601517.6, f_measure: 0.9928, kappa: 0.9822, kb_relative_information_score: 4294.6793, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.2149, recall: 0.9929, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1852, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 0.8352, build_memory: 776986834.4, f_measure: 0.9844, kappa: 0.9611, kb_relative_information_score: 4204.8513, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9846, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.2734, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.0065, build_memory: 796860056.8, f_measure: 0.9662, kappa: 0.9157, kb_relative_information_score: 3967.8318, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9662, predictive_accuracy: 0.9664, prior_entropy: 1.2149, recall: 0.9664, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.4082, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 0.0445, build_memory: 80135666.4, f_measure: 0.9919, kappa: 0.9799, kb_relative_information_score: 4283.117, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 1.2149, recall: 0.992, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1958, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.0049, build_memory: 1670621504, f_measure: 0.9662, kappa: 0.9157, kb_relative_information_score: 3967.8318, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9662, predictive_accuracy: 0.9664, prior_entropy: 1.2149, recall: 0.9664, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.4082, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.283, build_memory: 1210750569.6, f_measure: 0.9932, kappa: 0.9833, kb_relative_information_score: 4299.3914, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.181, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 1.8839, build_memory: 1165261727.2, f_measure: 0.9841, kappa: 0.9605, kb_relative_information_score: 4195.1088, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 1.2149, recall: 0.9842, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.2799, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9719, kappa: 0.9309, kb_relative_information_score: 3982.258, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 1.2149, recall: 0.9722, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.3577, scimark_benchmark: 1349.9741, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: -3387.6019, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9711, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 1.9325, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3556, root_relative_squared_error: 1.377, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.978, kappa: 0.9455, kb_relative_information_score: 4018.427, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.978, predictive_accuracy: 0.9782, prior_entropy: 1.2149, recall: 0.9782, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3122, scimark_benchmark: 1301.9176, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4027.4061, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3482, scimark_benchmark: 1307.3269, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.979, kappa: 0.9472, kb_relative_information_score: 4139.7126, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9797, predictive_accuracy: 0.9786, prior_entropy: 1.2149, recall: 0.9786, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.3164, scimark_benchmark: 1419.2433, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9716, kappa: 0.9301, kb_relative_information_score: 3964.9135, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9715, predictive_accuracy: 0.9722, prior_entropy: 1.2149, recall: 0.9722, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3225, scimark_benchmark: 1327.9121, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9425, kappa: 0.8571, kb_relative_information_score: 3646.4919, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9424, predictive_accuracy: 0.9441, prior_entropy: 1.2149, recall: 0.9441, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5151, scimark_benchmark: 1386.5717, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9709, kappa: 0.9281, kb_relative_information_score: 3958.8911, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9708, predictive_accuracy: 0.9715, prior_entropy: 1.2149, recall: 0.9715, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.3269, scimark_benchmark: 1313.6093, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9741, kappa: 0.9368, kb_relative_information_score: 3959.5503, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.974, predictive_accuracy: 0.9748, prior_entropy: 1.2149, recall: 0.9748, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.323, scimark_benchmark: 1307.3764, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9719, kappa: 0.9306, kb_relative_information_score: 3949.944, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9717, predictive_accuracy: 0.9724, prior_entropy: 1.2149, recall: 0.9724, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3343, scimark_benchmark: 1276.5165, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9743, kappa: 0.9377, kb_relative_information_score: 3956.7263, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9741, predictive_accuracy: 0.9753, prior_entropy: 1.2149, recall: 0.9753, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.3243, scimark_benchmark: 1323.976, usercpu_time_millis: 740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9753, kappa: 0.9384, kb_relative_information_score: 4084.1148, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9753, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.35, scimark_benchmark: 854.5188, usercpu_time_millis: 920, usercpu_time_millis_testing: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9686, kappa: 0.922, kb_relative_information_score: 3945.0952, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9701, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.3877, scimark_benchmark: 1249.4068, usercpu_time_millis: 9760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6587, kb_relative_information_score: -48.1056, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.4669, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1205.8291, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 1056.5355, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 933.3136, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8912, kappa: 0.7416, kb_relative_information_score: 3095.8272, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9322, predictive_accuracy: 0.8762, prior_entropy: 1.2149, recall: 0.8762, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.7587, scimark_benchmark: 1301.9176, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.853, kappa: 0.6545, kb_relative_information_score: 1677.5175, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8375, predictive_accuracy: 0.8849, prior_entropy: 1.2149, recall: 0.8849, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.7198, scimark_benchmark: 932.0242, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9801, kappa: 0.9509, kb_relative_information_score: 4119.9271, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9801, predictive_accuracy: 0.9804, prior_entropy: 1.2149, recall: 0.9804, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.2995, scimark_benchmark: 1334.8495, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7703, kappa: 0.4383, kb_relative_information_score: 1460.5717, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.7889, predictive_accuracy: 0.7882, prior_entropy: 1.2149, recall: 0.7882, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.8528, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9619, kappa: 0.8894, kb_relative_information_score: 1825.5973, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9721, predictive_accuracy: 0.9546, prior_entropy: 1.2149, recall: 0.9546, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.6462, scimark_benchmark: 1335.693, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8028, kappa: 0.5608, kb_relative_information_score: 2180.1736, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8269, predictive_accuracy: 0.843, prior_entropy: 1.2149, recall: 0.843, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.7621, scimark_benchmark: 1264.6103, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8881, kappa: 0.7359, kb_relative_information_score: 3070.1115, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9307, predictive_accuracy: 0.8728, prior_entropy: 1.2149, recall: 0.8728, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.7609, scimark_benchmark: 1341.994, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 1339.944, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9884, kappa: 0.9721, kb_relative_information_score: 4233.2652, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.2262, scimark_benchmark: 1386.5717, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9531, kappa: 0.8845, kb_relative_information_score: 3444.7636, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9565, predictive_accuracy: 0.9566, prior_entropy: 1.2149, recall: 0.9566, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.4433, scimark_benchmark: 942.6843, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9587, kappa: 0.9003, kb_relative_information_score: 3458.6097, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 1.2149, recall: 0.9621, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4313, scimark_benchmark: 938.9967, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9425, kappa: 0.8571, kb_relative_information_score: 3646.4919, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9424, predictive_accuracy: 0.9441, prior_entropy: 1.2149, recall: 0.9441, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5151, scimark_benchmark: 1315.3709, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9909, kappa: 0.9776, kb_relative_information_score: 4014.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2561, scimark_benchmark: 1326.8946, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 1309.2287, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7491, kappa: 0.5263, kb_relative_information_score: -478.2915, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.8744, predictive_accuracy: 0.7223, prior_entropy: 1.2149, recall: 0.7223, relative_absolute_error: 1.2251, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2819, root_relative_squared_error: 1.0917, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.978, kappa: 0.9455, kb_relative_information_score: 4018.427, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.978, predictive_accuracy: 0.9782, prior_entropy: 1.2149, recall: 0.9782, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3122, scimark_benchmark: 1371.5241, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9832, kappa: 0.9582, kb_relative_information_score: 4135.9461, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 1.2149, recall: 0.9833, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.072, root_relative_squared_error: 0.2787, scimark_benchmark: 1464.9318, usercpu_time_millis: 1040, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9754, kappa: 0.941, kb_relative_information_score: 4025.5811, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 1.2149, recall: 0.9768, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3291, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9777, kappa: 0.9445, kb_relative_information_score: 4066.2495, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1343, number_of_instances: 4490, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3079, scimark_benchmark: 905.2959,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs