OpenML
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 3658 Supervised Classification fri_c3_250_10 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8961, kappa: 0.7909, kb_relative_information_score: 165.4687, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8962, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5846, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8993, kappa: 0.797, kb_relative_information_score: 151.706, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9036, predictive_accuracy: 0.9, prior_entropy: 0.9955, recall: 0.9, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.5957, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8838, kappa: 0.7658, kb_relative_information_score: 83.6838, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7577, scimark_benchmark: 947.9494, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.727, kappa: 0.4517, kb_relative_information_score: 44.9521, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7374, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8978, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 941.8057, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.9277, kappa: 0.8543, kb_relative_information_score: 212.9541, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9294, predictive_accuracy: 0.928, prior_entropy: 0.9955, recall: 0.928, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5405, scimark_benchmark: 945.3151, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.9238, kappa: 0.8465, kb_relative_information_score: 211.634, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9244, predictive_accuracy: 0.924, prior_entropy: 0.9955, recall: 0.924, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5531, scimark_benchmark: 929.566, usercpu_time_millis: 910, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9078, kappa: 0.8142, kb_relative_information_score: 199.9353, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.583, scimark_benchmark: 943.2817, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.5875, kappa: 0.1828, kb_relative_information_score: 37.6741, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5971, predictive_accuracy: 0.588, prior_entropy: 0.9955, recall: 0.588, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9631, scimark_benchmark: 902.4773, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 192.8359, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9955, recall: 0.892, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6464, scimark_benchmark: 935.8986, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8753, kappa: 0.7486, kb_relative_information_score: 166.0998, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8781, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5982, scimark_benchmark: 923.9763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 928.3108, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.6325, kappa: 0.2659, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, scimark_benchmark: 947.4269, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, build_cpu_time: 0.0862, build_memory: 1565941694.4, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 46.3304, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9648, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, build_cpu_time: 0.0768, build_memory: 931122647.2, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 46.3304, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9648, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, build_cpu_time: 0.0722, build_memory: 956245873.6, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 44.8808, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9667, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, build_cpu_time: 0.0534, build_memory: 1134617034.4, f_measure: 0.6231, kappa: 0.2402, kb_relative_information_score: 44.9045, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6228, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9646, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, build_cpu_time: 0.0409, build_memory: 812378524, f_measure: 0.908, kappa: 0.8147, kb_relative_information_score: 196.0088, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5832, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, build_cpu_time: 0.0442, build_memory: 865703094.4, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 198.3133, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5873, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.0804, build_memory: 105360640, f_measure: 0.9119, kappa: 0.8224, kb_relative_information_score: 203.0869, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5774, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, build_cpu_time: 0.1089, build_memory: 93842591.2, f_measure: 0.9119, kappa: 0.8224, kb_relative_information_score: 202.4249, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5926, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.1426, build_memory: 644875331.2, f_measure: 0.9119, kappa: 0.8224, kb_relative_information_score: 202.4126, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5929, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 0.0063, build_memory: 1341316744.8, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 0.0038, build_memory: 29220358.4, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 0.0031, build_memory: 1418558524.8, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 0.0025, build_memory: 2204849708.8, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 0.0024, build_memory: 317407424, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 171.2682, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7925, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, build_cpu_time: 0.0883, build_memory: 708672184, f_measure: 0.9119, kappa: 0.8226, kb_relative_information_score: 157.0086, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5562, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, build_cpu_time: 0.0607, build_memory: 948404049.6, f_measure: 0.9119, kappa: 0.8226, kb_relative_information_score: 157.0086, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5562, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, build_cpu_time: 0.0937, build_memory: 572894429.6, f_measure: 0.9119, kappa: 0.8226, kb_relative_information_score: 157.0086, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5562, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, build_cpu_time: 0.0963, build_memory: 770159141.6, f_measure: 0.9119, kappa: 0.8226, kb_relative_information_score: 157.0086, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5562, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, build_cpu_time: 0.0898, build_memory: 989183743.2, f_measure: 0.9119, kappa: 0.8226, kb_relative_information_score: 157.0086, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5562, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, build_cpu_time: 0.1599, build_memory: 291902941.6, f_measure: 0.852, kappa: 0.7019, kb_relative_information_score: 173.7436, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9955, recall: 0.852, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7696, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, build_memory: 635519520, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 63.8762, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2118, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0196, build_memory: 910866408.8, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, build_cpu_time: 0.0078, build_memory: 481303748, f_measure: 0.6237, kappa: 0.2422, kb_relative_information_score: 60.2619, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6235, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2303, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, build_cpu_time: 0.0204, build_memory: 960637408, f_measure: 0.6325, kappa: 0.2659, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, build_cpu_time: 0.0042, build_memory: 46495984, f_measure: 0.6482, kappa: 0.2924, kb_relative_information_score: 44.019, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9459, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.0158, build_memory: 655018867.2, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.0104, build_memory: 531225636.8, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 940.7816,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, build_cpu_time: 0.0012, build_memory: 400238619.2, f_measure: 0.8192, kappa: 0.6356, kb_relative_information_score: 159.1584, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8513, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, build_cpu_time: 0.0041, build_memory: 235932059.2, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, build_cpu_time: 0.0024, build_memory: 882136152, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, build_cpu_time: 0.0038, build_memory: 640374240, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, build_cpu_time: 0.0038, build_memory: 1127046512, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.0009, build_memory: 303173380, f_measure: 0.6555, kappa: 0.3058, kb_relative_information_score: 39.6345, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6553, predictive_accuracy: 0.656, prior_entropy: 0.9955, recall: 0.656, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9653, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 0.0008, build_memory: 362903262.4, f_measure: 0.6555, kappa: 0.3058, kb_relative_information_score: 39.6345, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6553, predictive_accuracy: 0.656, prior_entropy: 0.9955, recall: 0.656, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9653, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, build_cpu_time: 0.0334, build_memory: 2154625791.2, f_measure: 0.6146, kappa: 0.2407, kb_relative_information_score: 56.2253, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.629, predictive_accuracy: 0.616, prior_entropy: 0.9955, recall: 0.616, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2433, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, build_cpu_time: 0.0245, build_memory: 384140824, f_measure: 0.6146, kappa: 0.2407, kb_relative_information_score: 56.2253, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.629, predictive_accuracy: 0.616, prior_entropy: 0.9955, recall: 0.616, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2433, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, build_cpu_time: 0.0224, build_memory: 705935289.6, f_measure: 0.6146, kappa: 0.2407, kb_relative_information_score: 56.2253, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.629, predictive_accuracy: 0.616, prior_entropy: 0.9955, recall: 0.616, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2433, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, build_cpu_time: 0.181, build_memory: 212108544, f_measure: 0.6349, kappa: 0.264, kb_relative_information_score: 53.6092, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6348, predictive_accuracy: 0.636, prior_entropy: 0.9955, recall: 0.636, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0473, scimark_benchmark: 895.5844,

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