OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 232 Supervised Classification anneal 315 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9698, kappa: 0.9455, kb_relative_information_score: 265.1882, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9638, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3579, scimark_benchmark: 851.2074, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 941.6675, usercpu_time_millis: 430, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.898, kappa: 0.7731, kb_relative_information_score: 230.8031, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8922, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5582, scimark_benchmark: 941.6675, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 931.771, usercpu_time_millis: 1210, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 937.5117, usercpu_time_millis: 540, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9044, kappa: 0.7884, kb_relative_information_score: 240.5445, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.911, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5781, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9664, kappa: 0.9371, kb_relative_information_score: 271.1422, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.96, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3772, scimark_benchmark: 938.5498, usercpu_time_millis: 1730, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 943.1009, usercpu_time_millis: 980, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9698, kappa: 0.9455, kb_relative_information_score: 265.1882, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9638, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3579, scimark_benchmark: 936.2574, usercpu_time_millis: 580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 859.5223, usercpu_time_millis: 380, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.898, kappa: 0.7731, kb_relative_information_score: 230.8031, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8922, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5582, scimark_benchmark: 941.4991, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9664, kappa: 0.9371, kb_relative_information_score: 271.1422, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.96, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3772, scimark_benchmark: 936.3213, usercpu_time_millis: 1760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 936.9595, usercpu_time_millis: 1040, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9495, kappa: 0.8973, kb_relative_information_score: 270.6035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9433, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.3682, scimark_benchmark: 873.7533, usercpu_time_millis: 16140, usercpu_time_millis_testing: 7740, usercpu_time_millis_training: 8400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9495, kappa: 0.8973, kb_relative_information_score: 267.7657, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9433, predictive_accuracy: 0.9561, prior_entropy: 1.2149, recall: 0.9561, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.3819, scimark_benchmark: 934.695, usercpu_time_millis: 4350, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9601, kappa: 0.914, kb_relative_information_score: 265.0209, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9636, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3954, scimark_benchmark: 944.235, usercpu_time_millis: 2770, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9519, kappa: 0.8917, kb_relative_information_score: 256.0223, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9536, predictive_accuracy: 0.9527, prior_entropy: 1.2149, recall: 0.9527, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.4398, scimark_benchmark: 939.7883, usercpu_time_millis: 1200, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9731, kappa: 0.953, kb_relative_information_score: 279.4726, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9668, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.3313, scimark_benchmark: 889.4922, usercpu_time_millis: 510, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6202, kb_relative_information_score: 3.7519, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.5374, predictive_accuracy: 0.7331, prior_entropy: 1.2149, recall: 0.7331, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2712, root_relative_squared_error: 1.0012, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 92.2941, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8218, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7098, kappa: 0.4202, kb_relative_information_score: 125.4963, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6966, predictive_accuracy: 0.7466, prior_entropy: 1.2149, recall: 0.7466, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.8963, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6202, kb_relative_information_score: 63.5865, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.5374, predictive_accuracy: 0.7331, prior_entropy: 1.2149, recall: 0.7331, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2983, root_relative_squared_error: 1.101, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9086, kappa: 0.8005, kb_relative_information_score: 238.6008, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9025, predictive_accuracy: 0.9155, prior_entropy: 1.2149, recall: 0.9155, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.5303, scimark_benchmark: 926.5859, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.7364, kappa: 0.4329, kb_relative_information_score: 122.0831, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.6715, predictive_accuracy: 0.8176, prior_entropy: 1.2149, recall: 0.8176, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.8164, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9698, kappa: 0.9455, kb_relative_information_score: 265.1882, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9638, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3579, scimark_benchmark: 903.4813, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1326.2019, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1350.7721, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9664, kappa: 0.9371, kb_relative_information_score: 271.1422, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.96, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3772, scimark_benchmark: 1306.9281, usercpu_time_millis: 2130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9698, kappa: 0.9455, kb_relative_information_score: 265.1882, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9638, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3579, scimark_benchmark: 1318.6467, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 1349.1517, usercpu_time_millis: 720, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1354.7111, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1332.3382, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1367.3264, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.898, kappa: 0.7731, kb_relative_information_score: 230.8031, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8922, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5582, scimark_benchmark: 1335.2363, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8591, kappa: 0.725, kb_relative_information_score: 185.0858, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.829, predictive_accuracy: 0.8919, prior_entropy: 1.2149, recall: 0.8919, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6731, scimark_benchmark: 1335.3438, usercpu_time_millis: 1670, usercpu_time_millis_testing: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1341.3551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 1267.7714, usercpu_time_millis: 910, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9727, kappa: 0.9379, kb_relative_information_score: 287.7661, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9728, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3199, scimark_benchmark: 1278.6629, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1334.1324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 1327.3335, usercpu_time_millis: 750, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7768, kappa: 0.4476, kb_relative_information_score: 148.9384, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8426, predictive_accuracy: 0.8209, prior_entropy: 1.2149, recall: 0.8209, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9018, scimark_benchmark: 1354.3488, usercpu_time_millis: 710, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9044, kappa: 0.7884, kb_relative_information_score: 240.5445, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.911, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5781, scimark_benchmark: 1354.3488, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9592, kappa: 0.9069, kb_relative_information_score: 255.1962, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 1.2149, recall: 0.9595, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4423, scimark_benchmark: 1322.7257, usercpu_time_millis: 820, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8449, kappa: 0.6432, kb_relative_information_score: 224.9639, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8498, predictive_accuracy: 0.8649, prior_entropy: 1.2149, recall: 0.8649, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6086, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9044, kappa: 0.7884, kb_relative_information_score: 240.5445, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.911, predictive_accuracy: 0.9054, prior_entropy: 1.2149, recall: 0.9054, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5781, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.976, kappa: 0.9454, kb_relative_information_score: 286.8489, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9764, predictive_accuracy: 0.9764, prior_entropy: 1.2149, recall: 0.9764, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3236, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,

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