Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 3874 Supervised Classification ecoli 605 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

605 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 918.6491, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9643, kappa: 0.9271, kb_relative_information_score: 299.5149, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 299.7955, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3735, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 300.5327, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3719, scimark_benchmark: 918.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 286.7527, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3868, scimark_benchmark: 1331.6907, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9255, kappa: 0.8474, kb_relative_information_score: 267.6872, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9255, predictive_accuracy: 0.9256, prior_entropy: 0.9842, recall: 0.9256, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5186, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9495, kappa: 0.897, kb_relative_information_score: 288.0779, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.95, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.432, scimark_benchmark: 1330.2678, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9523, kappa: 0.9024, kb_relative_information_score: 302.9013, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4414, scimark_benchmark: 1317.1452, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7937, kappa: 0.6013, kb_relative_information_score: 193.4758, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.8437, predictive_accuracy: 0.7946, prior_entropy: 0.9842, recall: 0.7946, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9165, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9584, kappa: 0.9149, kb_relative_information_score: 299.4775, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3999, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8481, kappa: 0.6893, kb_relative_information_score: 230.6392, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 0.9842, recall: 0.8482, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.788, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9375, kappa: 0.8723, kb_relative_information_score: 292.5781, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5056, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.4191, kb_relative_information_score: -0.0602, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.7534, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4866, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 306.833, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.3991, scimark_benchmark: 927.0753, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 299.7776, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.419, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 894.7455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 302.1527, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4201, scimark_benchmark: 939.7623, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 305.4833, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0922, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3999, scimark_benchmark: 876.8277, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9376, kappa: 0.8725, kb_relative_information_score: 292.891, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9378, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.472, scimark_benchmark: 934.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9375, kappa: 0.8723, kb_relative_information_score: 291.7907, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4668, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.911, kappa: 0.819, kb_relative_information_score: 275.5396, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.913, predictive_accuracy: 0.9107, prior_entropy: 0.9842, recall: 0.9107, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5465, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 302.7514, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4067, scimark_benchmark: 933.8635, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9523, kappa: 0.9024, kb_relative_information_score: 298.8802, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4111, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9583, kappa: 0.9145, kb_relative_information_score: 297.0593, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4002, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9583, kappa: 0.9145, kb_relative_information_score: 294.9733, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3917, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 289.8446, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4002, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.4191, kb_relative_information_score: -0.0602, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0001, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 296.0856, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3535, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9373, kappa: 0.8716, kb_relative_information_score: 286.4017, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4492, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9435, kappa: 0.8844, kb_relative_information_score: 288.3983, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9435, predictive_accuracy: 0.9435, prior_entropy: 0.9842, recall: 0.9435, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4183, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.4191, kb_relative_information_score: -0.0602, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0001, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9643, kappa: 0.9271, kb_relative_information_score: 287.9167, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4026, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4191, kb_relative_information_score: 40.693, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.3194, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9405, kappa: 0.8785, kb_relative_information_score: 285.7534, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9842, recall: 0.9405, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4866, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9525, kappa: 0.903, kb_relative_information_score: 263.993, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9528, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4123, scimark_benchmark: 934.5243, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8779, kappa: 0.7502, kb_relative_information_score: 197.9446, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9842, recall: 0.878, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.597, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9584, kappa: 0.9151, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9587, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 947.0793, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4191, kb_relative_information_score: 40.693, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.6524, root_relative_squared_error: 1.3194, scimark_benchmark: 941.8057, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 297.402, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.3925, scimark_benchmark: 945.6434, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 298.811, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4674, scimark_benchmark: 904.3001, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 298.772, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4681, scimark_benchmark: 915.2795, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9315, kappa: 0.8599, kb_relative_information_score: 291.2428, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9315, predictive_accuracy: 0.9315, prior_entropy: 0.9842, recall: 0.9315, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.495, scimark_benchmark: 911.3823, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9216, kappa: 0.8388, kb_relative_information_score: 260.7567, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9276, predictive_accuracy: 0.9226, prior_entropy: 0.9842, recall: 0.9226, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5263, scimark_benchmark: 947.0793, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9493, kappa: 0.8962, kb_relative_information_score: 302.1384, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4381, scimark_benchmark: 938.4278, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 299.7955, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3735, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.4455, kappa: 0.032, kb_relative_information_score: 48.9516, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.7595, predictive_accuracy: 0.5863, prior_entropy: 0.9842, recall: 0.5863, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.6432, root_relative_squared_error: 1.3009, scimark_benchmark: 915.2795, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9643, kappa: 0.927, kb_relative_information_score: 311.1598, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9842, recall: 0.9643, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3822, scimark_benchmark: 945.7621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, build_cpu_time: 0.1611, build_memory: 1767979895.6191, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 299.7703, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.3993, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, build_cpu_time: 0.155, build_memory: 765034178.6429, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 299.6183, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3999, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, build_cpu_time: 0.1147, build_memory: 1352651896.9286, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 298.8463, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4017, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, build_cpu_time: 0.0774, build_memory: 440998449.2381, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 298.7284, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4011, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, build_cpu_time: 0.0197, build_memory: 611649132.7143, f_measure: 0.9523, kappa: 0.9023, kb_relative_information_score: 301.0433, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4222, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0332, build_memory: 451268906.3333, f_measure: 0.9553, kappa: 0.9086, kb_relative_information_score: 304.5745, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4069, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, build_cpu_time: 0.0419, build_memory: 716109566.8571, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 307.9252, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3871, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, build_cpu_time: 0.0429, build_memory: 206485829.5476, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 307.9293, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3871, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, build_cpu_time: 0.0348, build_memory: 61405469.9524, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 307.9293, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3871, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.0056, build_memory: 513947877.1429, f_measure: 0.9223, kappa: 0.8406, kb_relative_information_score: 282.2549, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 0.9842, recall: 0.9226, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5626, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.0041, build_memory: 339506499.7619, f_measure: 0.9223, kappa: 0.8406, kb_relative_information_score: 282.2549, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 0.9842, recall: 0.9226, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5626, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.0028, build_memory: 1882244681.7143, f_measure: 0.9223, kappa: 0.8406, kb_relative_information_score: 282.2549, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 0.9842, recall: 0.9226, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5626, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.0021, build_memory: 2588497464, f_measure: 0.9223, kappa: 0.8406, kb_relative_information_score: 282.2549, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 0.9842, recall: 0.9226, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5626, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 0.0016, build_memory: 1169110464.8095, f_measure: 0.9223, kappa: 0.8406, kb_relative_information_score: 282.2549, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 0.9842, recall: 0.9226, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5626, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.0673, build_memory: 661054097.9048, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 287.2562, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3905, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.0451, build_memory: 1002605832.1429, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 287.2562, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3905, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.0448, build_memory: 527354192.9762, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 287.2562, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3905, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.0716, build_memory: 374961535.2619, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 287.2562, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3905, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, build_cpu_time: 0.0712, build_memory: 455227437.5, f_measure: 0.9554, kappa: 0.9088, kb_relative_information_score: 287.2562, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3905, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, build_cpu_time: 0.0973, build_memory: 1110224211.1667, f_measure: 0.9287, kappa: 0.8544, kb_relative_information_score: 286.9871, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9291, predictive_accuracy: 0.9286, prior_entropy: 0.9842, recall: 0.9286, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.531, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, build_cpu_time: 0.0511, build_memory: 918229164.0238, f_measure: 0.9315, kappa: 0.8599, kb_relative_information_score: 289.0002, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9315, predictive_accuracy: 0.9315, prior_entropy: 0.9842, recall: 0.9315, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.511, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, build_cpu_time: 0.036, build_memory: 988174055.7619, f_measure: 0.9256, kappa: 0.848, kb_relative_information_score: 281.898, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9257, predictive_accuracy: 0.9256, prior_entropy: 0.9842, recall: 0.9256, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5344, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, build_cpu_time: 0.0122, build_memory: 1439105351.6667, f_measure: 0.9137, kappa: 0.8236, kb_relative_information_score: 277.0431, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9138, predictive_accuracy: 0.9137, prior_entropy: 0.9842, recall: 0.9137, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5444, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, build_cpu_time: 0.006, build_memory: 1028868715.4762, f_measure: 0.9376, kappa: 0.8727, kb_relative_information_score: 281.7787, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9382, predictive_accuracy: 0.9375, prior_entropy: 0.9842, recall: 0.9375, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4849, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.0154, build_memory: 2424294998.7143, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.0168, build_memory: 1737520994.4762, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.0161, build_memory: 1152552963.9762, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.0169, build_memory: 1050322732.3333, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.019, build_memory: 2599927744.6429, f_measure: 0.9552, kappa: 0.9083, kb_relative_information_score: 297.884, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9842, recall: 0.9554, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4142, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 3.6616, build_memory: 44602889.7381, f_measure: 0.9346, kappa: 0.8663, kb_relative_information_score: 288.0952, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9842, recall: 0.9345, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4584, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 6.3158, build_memory: 61493440.3095, f_measure: 0.9434, kappa: 0.8842, kb_relative_information_score: 293.4657, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9842, recall: 0.9435, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4632, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, build_cpu_time: 12.1273, build_memory: 940316980.4524, f_measure: 0.9494, kappa: 0.8964, kb_relative_information_score: 300.2101, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.435, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, build_cpu_time: 22.564, build_memory: 644894171.6905, f_measure: 0.9465, kappa: 0.8908, kb_relative_information_score: 300.3833, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4467, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, build_cpu_time: 17.529, build_memory: 1065347604.9524, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0305, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4128, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, build_cpu_time: 8.3304, build_memory: 137102371.6905, f_measure: 0.9494, kappa: 0.8966, kb_relative_information_score: 300.8293, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9495, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4549, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, build_cpu_time: 4.6455, build_memory: 55049522.2143, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 307.9275, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4014, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, build_cpu_time: 2.4399, build_memory: 59045733.1905, f_measure: 0.9494, kappa: 0.8966, kb_relative_information_score: 301.5504, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9495, predictive_accuracy: 0.9494, prior_entropy: 0.9842, recall: 0.9494, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.442, scimark_benchmark: 888.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.9992, build_memory: 804902559.7381, f_measure: 0.9434, kappa: 0.884, kb_relative_information_score: 296.5581, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9842, recall: 0.9435, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4681, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, build_cpu_time: 0.1805, build_memory: 701172646.7143, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 302.3922, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.421, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, build_cpu_time: 0.4018, build_memory: 534396336.3333, f_measure: 0.9464, kappa: 0.8904, kb_relative_information_score: 299.0209, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9842, recall: 0.9464, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4578, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, build_cpu_time: 0.6689, build_memory: 1290240533.8333, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 307.0363, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4127, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 1.3475, build_memory: 583178786.4286, f_measure: 0.9523, kappa: 0.9024, kb_relative_information_score: 303.3887, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4346, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, build_cpu_time: 2.9239, build_memory: 1095531483.7143, f_measure: 0.9524, kappa: 0.9026, kb_relative_information_score: 303.2938, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9842, recall: 0.9524, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4356, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, build_cpu_time: 0.1172, build_memory: 135310283.3333, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 305.6694, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4151, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, build_cpu_time: 0.1433, build_memory: 849710718.5238, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 305.6694, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4151, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 0.135, build_memory: 1734340828.1429, f_measure: 0.9613, kappa: 0.9208, kb_relative_information_score: 307.7044, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4007, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, build_cpu_time: 0.0709, build_memory: 834048710.7619, f_measure: 0.9583, kappa: 0.9146, kb_relative_information_score: 305.6295, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4156, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 0.0436, build_memory: 809157079.8095, f_measure: 0.9583, kappa: 0.9148, kb_relative_information_score: 305.7024, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9842, recall: 0.9583, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4052, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, build_cpu_time: 0.0226, build_memory: 426788312.7619, f_measure: 0.9315, kappa: 0.8599, kb_relative_information_score: 290.5724, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9315, predictive_accuracy: 0.9315, prior_entropy: 0.9842, recall: 0.9315, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4932, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.0601, build_memory: 352608486.4524, f_measure: 0.9434, kappa: 0.8842, kb_relative_information_score: 296.8617, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9842, recall: 0.9435, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4771, scimark_benchmark: 930.5854,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs