Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 282 Supervised Classification heart-statlog 1419 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 0.335, build_memory: 226090416, f_measure: 0.7955, kappa: 0.5926, kb_relative_information_score: 53.2409, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8066, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8958, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.232, build_memory: 126329880, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 46.2321, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7351, scimark_benchmark: 944.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.241, build_memory: 144086232, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 46.2321, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7351, scimark_benchmark: 945.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, build_cpu_time: 0.011, build_memory: 526732368, f_measure: 0.7451, kappa: 0.4997, kb_relative_information_score: 39.5444, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7783, predictive_accuracy: 0.7528, prior_entropy: 0.9912, recall: 0.7528, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9426, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, build_cpu_time: 0.02, build_memory: 1090712576, f_measure: 0.7593, kappa: 0.5236, kb_relative_information_score: 45.1961, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7794, predictive_accuracy: 0.764, prior_entropy: 0.9912, recall: 0.764, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9163, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 0.13, build_memory: 95732312, f_measure: 0.7619, kappa: 0.525, kb_relative_information_score: 46.5784, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7695, predictive_accuracy: 0.764, prior_entropy: 0.9912, recall: 0.764, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9393, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 0.044, build_memory: 882756696, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 43.6336, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7315, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, build_cpu_time: 0.029, build_memory: 1341430856, f_measure: 0.747, kappa: 0.5005, kb_relative_information_score: 47.5917, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7706, predictive_accuracy: 0.7528, prior_entropy: 0.9912, recall: 0.7528, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8346, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.005, build_memory: 841897480, f_measure: 0.7944, kappa: 0.592, kb_relative_information_score: 45.7972, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8206, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, build_cpu_time: 0.036, build_memory: 432028896, f_measure: 0.747, kappa: 0.5005, kb_relative_information_score: 47.5917, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7706, predictive_accuracy: 0.7528, prior_entropy: 0.9912, recall: 0.7528, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8346, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, build_cpu_time: 0.026, build_memory: 327098032, f_measure: 0.747, kappa: 0.5005, kb_relative_information_score: 47.5917, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7706, predictive_accuracy: 0.7528, prior_entropy: 0.9912, recall: 0.7528, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8346, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, build_cpu_time: 0.026, build_memory: 855138288, f_measure: 0.747, kappa: 0.5005, kb_relative_information_score: 47.5917, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7706, predictive_accuracy: 0.7528, prior_entropy: 0.9912, recall: 0.7528, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8346, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, build_cpu_time: 0.063, build_memory: 254652568, f_measure: 0.7727, kappa: 0.5473, kb_relative_information_score: 47.4903, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7832, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9166, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 0.052, build_memory: 1494770952, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 43.6336, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7315, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, build_cpu_time: 0.042, build_memory: 523296912, f_measure: 0.808, kappa: 0.6161, kb_relative_information_score: 47.3482, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7827, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, build_cpu_time: 0.216, build_memory: 252266864, f_measure: 0.7823, kappa: 0.569, kb_relative_information_score: 51.1703, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8036, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9143, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 1, build_memory: 596191176, f_measure: 0.8052, kappa: 0.6143, kb_relative_information_score: 55.1771, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8278, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8719, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 1.641, build_memory: 1772388768, f_measure: 0.8052, kappa: 0.6143, kb_relative_information_score: 55.4128, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8278, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8721, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, build_cpu_time: 5.635, build_memory: 1153106584, f_measure: 0.7955, kappa: 0.5926, kb_relative_information_score: 48.9479, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8066, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7178, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, build_cpu_time: 3.154, build_memory: 2803877432, f_measure: 0.7955, kappa: 0.5926, kb_relative_information_score: 49.5484, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8066, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.709, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, build_cpu_time: 2.168, build_memory: 43000720, f_measure: 0.8306, kappa: 0.6613, kb_relative_information_score: 48.954, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8351, predictive_accuracy: 0.8315, prior_entropy: 0.9912, recall: 0.8315, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7196, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 0.073, build_memory: 257758712, f_measure: 0.819, kappa: 0.6384, kb_relative_information_score: 46.343, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8254, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7248, scimark_benchmark: 902.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, build_cpu_time: 0.003, build_memory: 1757017808, f_measure: 0.7737, kappa: 0.548, kb_relative_information_score: 48.7169, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7794, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8912, scimark_benchmark: 939.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, build_cpu_time: 0.002, build_memory: 1389773392, f_measure: 0.7737, kappa: 0.548, kb_relative_information_score: 48.7169, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7794, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8912, scimark_benchmark: 943.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, build_cpu_time: 0.003, build_memory: 1623878048, f_measure: 0.7737, kappa: 0.548, kb_relative_information_score: 48.7169, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7794, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8912, scimark_benchmark: 949.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 0.049, build_memory: 202150336, f_measure: 0.797, kappa: 0.5938, kb_relative_information_score: 45.0406, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7996, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7527, scimark_benchmark: 877.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.004, build_memory: 2518189048, f_measure: 0.8291, kappa: 0.6602, kb_relative_information_score: 59.5653, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8446, predictive_accuracy: 0.8315, prior_entropy: 0.9912, recall: 0.8315, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8191, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 0.287, build_memory: 4610192, f_measure: 0.8519, kappa: 0.7055, kb_relative_information_score: 57.9489, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8682, predictive_accuracy: 0.8539, prior_entropy: 0.9912, recall: 0.8539, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7805, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 0.038, build_memory: 162490528, f_measure: 0.8519, kappa: 0.7055, kb_relative_information_score: 57.9489, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8682, predictive_accuracy: 0.8539, prior_entropy: 0.9912, recall: 0.8539, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7805, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 0.066, build_memory: 2285627824, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 43.6336, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7315, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 0.062, build_memory: 899165888, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 43.6336, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7315, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.001, build_memory: 785349648, f_measure: 0.8291, kappa: 0.6602, kb_relative_information_score: 59.5653, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8446, predictive_accuracy: 0.8315, prior_entropy: 0.9912, recall: 0.8315, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8191, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.001, build_memory: 963122296, f_measure: 0.8291, kappa: 0.6602, kb_relative_information_score: 59.5653, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8446, predictive_accuracy: 0.8315, prior_entropy: 0.9912, recall: 0.8315, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8191, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.027, build_memory: 338885360, f_measure: 0.8401, kappa: 0.6826, kb_relative_information_score: 58.7418, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.86, predictive_accuracy: 0.8427, prior_entropy: 0.9912, recall: 0.8427, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7456, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, build_cpu_time: 0.02, build_memory: 663750456, f_measure: 0.7914, kappa: 0.5907, kb_relative_information_score: 50.2248, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8289, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7868, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, build_cpu_time: 0.038, build_memory: 1151131632, f_measure: 0.808, kappa: 0.6161, kb_relative_information_score: 47.3482, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7827, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, build_cpu_time: 0.029, build_memory: 584840784, f_measure: 0.808, kappa: 0.6161, kb_relative_information_score: 47.3482, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7827, scimark_benchmark: 926.638,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, build_cpu_time: 0.032, build_memory: 758930096, f_measure: 0.7944, kappa: 0.592, kb_relative_information_score: 44.0066, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7369, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, build_cpu_time: 0.031, build_memory: 114971192, f_measure: 0.7944, kappa: 0.592, kb_relative_information_score: 44.0066, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7369, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 0.015, build_memory: 3103663680, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 45.2665, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7243, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 0.014, build_memory: 246707464, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 45.2665, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7243, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.077, build_memory: 1581562112, f_measure: 0.7823, kappa: 0.569, kb_relative_information_score: 42.8841, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8036, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7388, scimark_benchmark: 928.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.081, build_memory: 910784520, f_measure: 0.7823, kappa: 0.569, kb_relative_information_score: 42.8841, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8036, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7388, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, build_cpu_time: 0.008, build_memory: 596107200, f_measure: 0.8172, kappa: 0.6373, kb_relative_information_score: 45.2197, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8361, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7345, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 0.027, build_memory: 1345932160, f_measure: 0.7836, kappa: 0.5696, kb_relative_information_score: 38.7729, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7974, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.756, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 0.09, build_memory: 1909828432, f_measure: 0.7823, kappa: 0.569, kb_relative_information_score: 39.5262, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8036, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7497, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, build_memory: 134510200, f_measure: 0.7059, kappa: 0.4124, kb_relative_information_score: 37.1742, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7104, predictive_accuracy: 0.7079, prior_entropy: 0.9912, recall: 0.7079, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0784, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.7964, kappa: 0.5932, kb_relative_information_score: 48.1363, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8024, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7387, scimark_benchmark: 1086.8793, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.775, kappa: 0.5494, kb_relative_information_score: 46.7147, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7755, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7839, scimark_benchmark: 1331.2332, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8182, kappa: 0.6378, kb_relative_information_score: 52.1362, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8299, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7389, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 42.9694, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7488, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.816, kappa: 0.6367, kb_relative_information_score: 49.6769, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8441, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8024, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 42.9694, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7488, scimark_benchmark: 825.5282, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7737, kappa: 0.548, kb_relative_information_score: 44.9523, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7794, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8481, scimark_benchmark: 1072.3689, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7727, kappa: 0.5473, kb_relative_information_score: 45.5577, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7832, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8755, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7737, kappa: 0.548, kb_relative_information_score: 48.7169, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7794, predictive_accuracy: 0.7753, prior_entropy: 0.9912, recall: 0.7753, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8912, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.83, kappa: 0.6607, kb_relative_information_score: 53.7188, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.839, predictive_accuracy: 0.8315, prior_entropy: 0.9912, recall: 0.8315, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.742, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8182, kappa: 0.6378, kb_relative_information_score: 54.2219, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8299, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7572, scimark_benchmark: 1280.6952, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8182, kappa: 0.6378, kb_relative_information_score: 53.3473, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8299, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7709, scimark_benchmark: 915.6729, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6906, kappa: 0.3875, kb_relative_information_score: 28.3838, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7069, predictive_accuracy: 0.6966, prior_entropy: 0.9912, recall: 0.6966, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9249, scimark_benchmark: 1066.7184,

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