Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 231 Supervised Classification anneal 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9853, kappa: 0.9687, kb_relative_information_score: 288.3837, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9867, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9558, kappa: 0.9113, kb_relative_information_score: 287.7226, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3758, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9887, kappa: 0.9766, kb_relative_information_score: 299.5491, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2334, scimark_benchmark: 851.2074, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7827, kappa: 0.4617, kb_relative_information_score: 152.1037, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8448, predictive_accuracy: 0.8243, prior_entropy: 1.2149, recall: 0.8243, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8932, scimark_benchmark: 941.6675, usercpu_time_millis: 530, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 938.191, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 287.1257, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3402, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7827, kappa: 0.4617, kb_relative_information_score: 152.1037, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8448, predictive_accuracy: 0.8243, prior_entropy: 1.2149, recall: 0.8243, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8932, scimark_benchmark: 937.5117, usercpu_time_millis: 720, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9602, kappa: 0.9149, kb_relative_information_score: 280.5981, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3954, scimark_benchmark: 974.2014, 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: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9598, kappa: 0.9229, kb_relative_information_score: 281.7069, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9542, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3938, scimark_benchmark: 938.5498, usercpu_time_millis: 2180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 943.1009, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9558, kappa: 0.9113, kb_relative_information_score: 287.7226, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3758, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9887, kappa: 0.9766, kb_relative_information_score: 299.5491, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2334, scimark_benchmark: 936.2574, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7827, kappa: 0.4617, kb_relative_information_score: 152.1037, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8448, predictive_accuracy: 0.8243, prior_entropy: 1.2149, recall: 0.8243, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8932, scimark_benchmark: 859.5223, usercpu_time_millis: 510, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 287.1257, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3402, scimark_benchmark: 941.4991, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9598, kappa: 0.9229, kb_relative_information_score: 281.7069, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9542, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3938, scimark_benchmark: 936.3213, usercpu_time_millis: 2170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 936.9595, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9764, kappa: 0.9605, kb_relative_information_score: 299.4388, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.97, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.2247, scimark_benchmark: 1171.0303, usercpu_time_millis: 29760, usercpu_time_millis_testing: 14900, usercpu_time_millis_training: 14860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.973, kappa: 0.9528, kb_relative_information_score: 299.2161, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9666, predictive_accuracy: 0.9797, prior_entropy: 1.2149, recall: 0.9797, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2324, scimark_benchmark: 859.5223, usercpu_time_millis: 9770, usercpu_time_millis_testing: 4340, usercpu_time_millis_training: 5430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9896, kappa: 0.9768, kb_relative_information_score: 300.4371, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 1.2149, recall: 0.9899, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.2229, scimark_benchmark: 944.235, usercpu_time_millis: 3810, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9801, kappa: 0.9611, kb_relative_information_score: 299.2754, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2435, scimark_benchmark: 939.7883, usercpu_time_millis: 2020, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.969, kb_relative_information_score: 296.2516, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9869, predictive_accuracy: 0.9865, prior_entropy: 1.2149, recall: 0.9865, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.071, root_relative_squared_error: 0.262, scimark_benchmark: 889.4922, usercpu_time_millis: 890, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 670,
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: 10, usercpu_time_millis_training: 10,
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: 10, usercpu_time_millis_training: 10,
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: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.652, kappa: 0.1644, kb_relative_information_score: 127.9926, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.587, predictive_accuracy: 0.7331, prior_entropy: 1.2149, recall: 0.7331, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.8927, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 0.9892, f_measure: 0.9764, kappa: 0.9605, kb_relative_information_score: 291.237, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.97, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.2619, scimark_benchmark: 926.5859, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9764, kappa: 0.9607, kb_relative_information_score: 302.1079, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9699, predictive_accuracy: 0.9831, prior_entropy: 1.2149, recall: 0.9831, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.2394, scimark_benchmark: 933.0918, usercpu_time_millis: 2600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2580,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1350.7721, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9598, kappa: 0.9229, kb_relative_information_score: 281.7069, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9542, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3938, scimark_benchmark: 1313.5633, usercpu_time_millis: 3240, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7951, kappa: 0.5238, kb_relative_information_score: 154.5768, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.7912, predictive_accuracy: 0.8277, prior_entropy: 1.2149, recall: 0.8277, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.8846, scimark_benchmark: 1331.0047, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 315.7006, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2149, recall: 1, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0696, scimark_benchmark: 1325.1654, usercpu_time_millis: 4830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1333.9912, 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: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1337.7902, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1343.7262, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9598, kappa: 0.9229, kb_relative_information_score: 281.7069, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9542, predictive_accuracy: 0.9662, prior_entropy: 1.2149, recall: 0.9662, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3938, scimark_benchmark: 1325.3966, usercpu_time_millis: 3130, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 1350.1007, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9558, kappa: 0.9113, kb_relative_information_score: 287.7226, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3758, scimark_benchmark: 1344.0499, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9602, kappa: 0.9149, kb_relative_information_score: 280.5981, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3954, scimark_benchmark: 1341.3551, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1319.688, 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: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1316.6799, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 929.0363, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 295.8791, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.3119, scimark_benchmark: 1344.0499, usercpu_time_millis: 2260, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9558, kappa: 0.9113, kb_relative_information_score: 287.7226, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9502, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3758, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7827, kappa: 0.4617, kb_relative_information_score: 152.1037, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.8448, predictive_accuracy: 0.8243, prior_entropy: 1.2149, recall: 0.8243, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8932, scimark_benchmark: 1317.5857, usercpu_time_millis: 860, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9602, kappa: 0.9149, kb_relative_information_score: 280.5981, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3954, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9846, kb_relative_information_score: 300.2423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 1.2149, recall: 0.9932, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2116, scimark_benchmark: 1322.7257, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9602, kappa: 0.9149, kb_relative_information_score: 280.5981, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 1.2149, recall: 0.9628, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3954, scimark_benchmark: 932.5646, 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: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1335.5424, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1347.917, 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: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1354.3488, 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: 0.97, kappa: 0.9372, kb_relative_information_score: 296.6584, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 1.2149, recall: 0.973, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3061, scimark_benchmark: 1312.0581, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9632, kappa: 0.9302, kb_relative_information_score: 257.6403, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.141, number_of_instances: 296, precision: 0.9576, predictive_accuracy: 0.9696, prior_entropy: 1.2149, recall: 0.9696, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4159, scimark_benchmark: 1342.2985, usercpu_time_millis: 710, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 630,

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