Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 246 Supervised Classification mfeat-karhunen 315 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, build_cpu_time: 27.924, build_memory: 622191152, f_measure: 0.9326, kappa: 0.9242, kb_relative_information_score: 615.6296, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9366, predictive_accuracy: 0.9318, prior_entropy: 3.3219, recall: 0.9318, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3758, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, build_cpu_time: 0.048, build_memory: 523271832, f_measure: 0.2886, kappa: 0.2062, kb_relative_information_score: 167.4482, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3051, predictive_accuracy: 0.2864, prior_entropy: 3.3219, recall: 0.2864, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.2593, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 54.96, build_memory: 841641880, f_measure: 0.936, kappa: 0.9276, kb_relative_information_score: 615.0217, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9411, predictive_accuracy: 0.9348, prior_entropy: 3.3219, recall: 0.9348, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3802, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 6.892, build_memory: 1028879328, f_measure: 0.9456, kappa: 0.9394, kb_relative_information_score: 623.1125, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9483, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.336, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, build_cpu_time: 0.032, build_memory: 728568776, f_measure: 0.2886, kappa: 0.2062, kb_relative_information_score: 167.4482, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3051, predictive_accuracy: 0.2864, prior_entropy: 3.3219, recall: 0.2864, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.2593, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 14.138, build_memory: 1648800992, f_measure: 0.9432, kappa: 0.936, kb_relative_information_score: 621.3274, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9462, predictive_accuracy: 0.9424, prior_entropy: 3.3219, recall: 0.9424, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3493, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 1796.503, build_memory: 15841992, f_measure: 0.8903, kappa: 0.8771, kb_relative_information_score: 544.4956, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8966, predictive_accuracy: 0.8894, prior_entropy: 3.3219, recall: 0.8894, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4405, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, build_cpu_time: 1768.598, build_memory: 87874680, f_measure: 0.8903, kappa: 0.8771, kb_relative_information_score: 544.4956, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8966, predictive_accuracy: 0.8894, prior_entropy: 3.3219, recall: 0.8894, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4405, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 5.897, build_memory: 82139600, f_measure: 0.912, kappa: 0.9023, kb_relative_information_score: 541.8293, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9133, predictive_accuracy: 0.9121, prior_entropy: 3.3219, recall: 0.9121, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, build_cpu_time: 0.058, build_memory: 638840584, f_measure: 0.2928, kappa: 0.217, kb_relative_information_score: 172.677, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3146, predictive_accuracy: 0.2939, prior_entropy: 3.3219, recall: 0.2939, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.2526, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, build_cpu_time: 0.049, build_memory: 112942848, f_measure: 0.2928, kappa: 0.217, kb_relative_information_score: 172.677, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3146, predictive_accuracy: 0.2939, prior_entropy: 3.3219, recall: 0.2939, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.2526, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, build_cpu_time: 0.058, build_memory: 837420000, f_measure: 0.2928, kappa: 0.217, kb_relative_information_score: 172.677, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3146, predictive_accuracy: 0.2939, prior_entropy: 3.3219, recall: 0.2939, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.2526, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, build_cpu_time: 0.055, build_memory: 174967888, f_measure: 0.2928, kappa: 0.217, kb_relative_information_score: 172.677, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3146, predictive_accuracy: 0.2939, prior_entropy: 3.3219, recall: 0.2939, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.2526, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 7.866, build_memory: 274732976, f_measure: 0.9379, kappa: 0.9309, kb_relative_information_score: 617.6826, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9392, predictive_accuracy: 0.9379, prior_entropy: 3.3219, recall: 0.9379, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3643, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 0.038, build_memory: 741622368, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 0.055, build_memory: 158761744, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 542434856, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 713552176, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 0.03, build_memory: 431731888, f_measure: 0.9456, kappa: 0.9393, kb_relative_information_score: 627.1569, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9465, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3052, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 0.563, build_memory: 989416104, f_measure: 0.9711, kappa: 0.968, kb_relative_information_score: 638.2745, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9727, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2521, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 0.047, build_memory: 63210672, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 0.81, build_memory: 142305664, f_measure: 0.9711, kappa: 0.968, kb_relative_information_score: 638.2745, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9727, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2521, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 39.421, build_memory: 2945757984, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 633.7826, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9625, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.281, scimark_benchmark: 940.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 89.762, build_memory: 54403776, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 641.787, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2414, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 11.007, build_memory: 956257856, f_measure: 0.9137, kappa: 0.904, kb_relative_information_score: 607.3786, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9146, predictive_accuracy: 0.9136, prior_entropy: 3.3219, recall: 0.9136, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3762, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 0.031, build_memory: 220444744, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 41.339, build_memory: 173002424, f_measure: 0.9743, kappa: 0.9714, kb_relative_information_score: 642.7702, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9746, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2324, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 4.936, build_memory: 992941784, f_measure: 0.9485, kappa: 0.9427, kb_relative_information_score: 625.7492, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2949, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 20.996, build_memory: 51079176, f_measure: 0.9668, kappa: 0.9629, kb_relative_information_score: 638.8608, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 3.3219, recall: 0.9667, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2511, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 5.637, build_memory: 784489264, f_measure: 0.9606, kappa: 0.9562, kb_relative_information_score: 633.696, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9613, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 2.293, build_memory: 515697664, f_measure: 0.9304, kappa: 0.9225, kb_relative_information_score: 609.0471, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9312, predictive_accuracy: 0.9303, prior_entropy: 3.3219, recall: 0.9303, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3356, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.044, build_memory: 1945110848, f_measure: 0.6902, kappa: 0.6564, kb_relative_information_score: 446.6655, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6916, predictive_accuracy: 0.6909, prior_entropy: 3.3219, recall: 0.6909, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8288, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.027, build_memory: 892374464, f_measure: 0.6902, kappa: 0.6564, kb_relative_information_score: 446.6655, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6916, predictive_accuracy: 0.6909, prior_entropy: 3.3219, recall: 0.6909, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8288, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 7.97, build_memory: 860612880, f_measure: 0.9605, kappa: 0.9562, kb_relative_information_score: 631.9193, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9611, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2986, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9711, kappa: 0.968, kb_relative_information_score: 638.2745, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9727, predictive_accuracy: 0.9712, prior_entropy: 3.3219, recall: 0.9712, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2521, scimark_benchmark: 1331.5882, usercpu_time_millis: 1500, usercpu_time_millis_testing: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9607, kappa: 0.9562, kb_relative_information_score: 631.7906, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9614, predictive_accuracy: 0.9606, prior_entropy: 3.3219, recall: 0.9606, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.2671, scimark_benchmark: 1333.5799, usercpu_time_millis: 56650, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 56590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.4627, kappa: 0.4846, kb_relative_information_score: 242.1456, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.5018, predictive_accuracy: 0.5364, prior_entropy: 3.3219, recall: 0.5364, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.8523, scimark_benchmark: 1333.5799, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9379, kappa: 0.9309, kb_relative_information_score: 617.6826, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9392, predictive_accuracy: 0.9379, prior_entropy: 3.3219, recall: 0.9379, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3643, scimark_benchmark: 938.0414, usercpu_time_millis: 7540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 41.99, build_memory: 2480519576, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 515.5047, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9775, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4661, scimark_benchmark: 939.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 5089.488, build_memory: 793970240, f_measure: 0.9682, kappa: 0.9646, kb_relative_information_score: 632.771, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9687, predictive_accuracy: 0.9682, prior_entropy: 3.3219, recall: 0.9682, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.2304, scimark_benchmark: 788.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 0.029, build_memory: 1360078728, f_measure: 0.6546, kappa: 0.6636, kb_relative_information_score: 241.4705, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7987, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.875, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, build_cpu_time: 0.016, build_memory: 833277736, f_measure: 0.6659, kappa: 0.6755, kb_relative_information_score: 242.0166, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8018, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8744, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, build_cpu_time: 0.043, build_memory: 41017480, f_measure: 0.6556, kappa: 0.6653, kb_relative_information_score: 241.1499, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.795, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.8752, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 9210.078, build_memory: 176947160, f_measure: 0.9698, kappa: 0.9663, kb_relative_information_score: 632.871, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9704, predictive_accuracy: 0.9697, prior_entropy: 3.3219, recall: 0.9697, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, build_cpu_time: 1.5, build_memory: 350748008, f_measure: 0.2931, kappa: 0.222, kb_relative_information_score: 225.6169, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3059, predictive_accuracy: 0.2985, prior_entropy: 3.3219, recall: 0.2985, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.996, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 26.466, build_memory: 341733472, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 550.6764, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9777, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3963, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, build_cpu_time: 0.299, build_memory: 1069230936, f_measure: 0.8411, kappa: 0.8231, kb_relative_information_score: 549.2765, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8448, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5703, scimark_benchmark: 945.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, build_cpu_time: 0.302, build_memory: 1351803464, f_measure: 0.8411, kappa: 0.8231, kb_relative_information_score: 549.2765, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8448, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5703, scimark_benchmark: 946.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, build_cpu_time: 0.302, build_memory: 1157421472, f_measure: 0.8411, kappa: 0.8231, kb_relative_information_score: 549.2765, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8448, predictive_accuracy: 0.8409, prior_entropy: 3.3219, recall: 0.8409, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5703, scimark_benchmark: 947.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 3.906, build_memory: 1235318840, f_measure: 0.9333, kappa: 0.9259, kb_relative_information_score: 570.3886, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.397, scimark_benchmark: 898.0393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8446, kappa: 0.8265, kb_relative_information_score: 550.9995, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.849, predictive_accuracy: 0.8439, prior_entropy: 3.3219, recall: 0.8439, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5645, scimark_benchmark: 1310.3951, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9001, kappa: 0.8888, kb_relative_information_score: 535.9598, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9024, predictive_accuracy: 0.9, prior_entropy: 3.3219, recall: 0.9, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.464, scimark_benchmark: 942.9518, usercpu_time_millis: 2970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9427, kappa: 0.936, kb_relative_information_score: 499.8702, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9438, predictive_accuracy: 0.9424, prior_entropy: 3.3219, recall: 0.9424, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.5, scimark_benchmark: 1326.6565, usercpu_time_millis: 4920, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 4780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8828, kappa: 0.8703, kb_relative_information_score: 573.2288, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8854, predictive_accuracy: 0.8833, prior_entropy: 3.3219, recall: 0.8833, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583, scimark_benchmark: 899.5042, usercpu_time_millis: 12280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9456, kappa: 0.9393, kb_relative_information_score: 627.1208, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9465, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3053, scimark_benchmark: 912.7324, usercpu_time_millis: 570, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9619, kappa: 0.9579, kb_relative_information_score: 632.7223, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.963, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2457, scimark_benchmark: 930.5999, usercpu_time_millis: 3250, usercpu_time_millis_testing: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 933.3136, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 1321.7236, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8404, kappa: 0.8183, kb_relative_information_score: 533.2705, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8591, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5675, scimark_benchmark: 1334.9446, usercpu_time_millis: 3830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.6144, kappa: 0.5704, kb_relative_information_score: 299.547, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6207, predictive_accuracy: 0.6136, prior_entropy: 3.3219, recall: 0.6136, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.797, scimark_benchmark: 1334.8272, usercpu_time_millis: 1780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9456, kappa: 0.9393, kb_relative_information_score: 627.1067, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9465, predictive_accuracy: 0.9455, prior_entropy: 3.3219, recall: 0.9455, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3054, scimark_benchmark: 1343.4572, usercpu_time_millis: 370, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1334.8495, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,

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