OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1276.9905, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.2305, scimark_benchmark: 1319.7809, usercpu_time_millis: 54.178, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 51.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1270.2748, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2112, scimark_benchmark: 1343.8408, usercpu_time_millis: 9.468, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 8.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1272.3285, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2296, scimark_benchmark: 1348.6901, usercpu_time_millis: 15.969, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 14.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1260.1624, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2103, scimark_benchmark: 1347.2406, usercpu_time_millis: 15.126, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 14.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1331.3457, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1514, scimark_benchmark: 1344.8468, usercpu_time_millis: 42.07, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 39.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 1224.9168, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.2879, scimark_benchmark: 1350.1387, usercpu_time_millis: 43.871, usercpu_time_millis_testing: 2.467, usercpu_time_millis_training: 41.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1211.6051, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2369, scimark_benchmark: 1325.6191, usercpu_time_millis: 37.564, usercpu_time_millis_testing: 3.571, usercpu_time_millis_training: 33.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1220.1456, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2576, scimark_benchmark: 1303.2287, usercpu_time_millis: 40.109, usercpu_time_millis_testing: 3.06, usercpu_time_millis_training: 37.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1276.0731, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2062, scimark_benchmark: 1307.1485, usercpu_time_millis: 38.879, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 35.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1221.6365, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2274, scimark_benchmark: 1340.2867, usercpu_time_millis: 28.593, usercpu_time_millis_testing: 2.642, usercpu_time_millis_training: 25.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9526, kappa: 0.904, kb_relative_information_score: 1115.5835, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3803, scimark_benchmark: 1330.4168, usercpu_time_millis: 25.864, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 23.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.1432, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1346.8503, usercpu_time_millis: 1.268, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1209.988, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.301, scimark_benchmark: 1348.134, usercpu_time_millis: 39.502, usercpu_time_millis_testing: 2.783, usercpu_time_millis_training: 36.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1175.7403, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2708, scimark_benchmark: 1336.2883, usercpu_time_millis: 33.889, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 30.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.1839, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1353.0945, usercpu_time_millis: 5.468, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 4.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 972.4628, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.44, scimark_benchmark: 1346.6661, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9307, kappa: 0.8595, kb_relative_information_score: 1063.7359, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4516, scimark_benchmark: 1318.527, usercpu_time_millis: 47.01, usercpu_time_millis_testing: 3.065, usercpu_time_millis_training: 43.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1279.5462, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1360.1104, usercpu_time_millis: 36.928, usercpu_time_millis_testing: 2.735, usercpu_time_millis_training: 34.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1097.8367, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3378, scimark_benchmark: 1340.6125, usercpu_time_millis: 26.603, usercpu_time_millis_testing: 2.517, usercpu_time_millis_training: 24.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9686, kappa: 0.9365, kb_relative_information_score: 1179.1216, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3293, scimark_benchmark: 1328.3959, usercpu_time_millis: 30.641, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 28.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.4725, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.1649, scimark_benchmark: 1335.6077, usercpu_time_millis: 27.468, usercpu_time_millis_testing: 1.792, usercpu_time_millis_training: 25.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1242.3092, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2088, scimark_benchmark: 1351.2433, usercpu_time_millis: 6.462, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 5.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0364, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1344.2925, usercpu_time_millis: 5.032, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8799, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0808, scimark_benchmark: 1854.5594, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1351.4624, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1044, scimark_benchmark: 1759.4269, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.8548, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0816, scimark_benchmark: 1772.6312, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1345.8717, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.117, scimark_benchmark: 1741.1835, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1358.6299, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.0868, scimark_benchmark: 1765.9801, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1356.2105, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0926, scimark_benchmark: 1641.4507, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1343.7675, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1212, scimark_benchmark: 1849.2854, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897, scimark_benchmark: 1755.8271, usercpu_time_millis: 0.285, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1763.1683, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1355.001, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.0957, scimark_benchmark: 1756.2313, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 0.007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1258.5942, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2132, scimark_benchmark: 1311.4791, usercpu_time_millis: 34.075, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 31.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1191.3375, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2556, scimark_benchmark: 1327.8906, usercpu_time_millis: 19.326, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 17.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1227.9095, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2557, scimark_benchmark: 1333.9066, usercpu_time_millis: 9.076, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 8.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9141, kappa: 0.8255, kb_relative_information_score: 890.9128, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9175, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5234, scimark_benchmark: 1312.7693, usercpu_time_millis: 12.023, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 11.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 1047.1269, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.439, scimark_benchmark: 1327.1757, usercpu_time_millis: 10.509, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 9.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 983.6602, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4305, scimark_benchmark: 1329.0169, usercpu_time_millis: 10.45, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 9.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.1199, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1308.5092, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.1287, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1311.744, usercpu_time_millis: 10.45, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 9.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1303.6824, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.194, scimark_benchmark: 1325.6645, usercpu_time_millis: 6.871, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 6.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9415, kappa: 0.8814, kb_relative_information_score: 862.3074, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9421, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5139, scimark_benchmark: 1334.6421, usercpu_time_millis: 7.296, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 6.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0645, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1326.1157, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 764.5956, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6655, scimark_benchmark: 1334.3551, usercpu_time_millis: 13.576, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 12.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1147.963, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3469, scimark_benchmark: 1323.6138, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9709, kappa: 0.941, kb_relative_information_score: 1189.1064, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.317, scimark_benchmark: 1337.824, usercpu_time_millis: 14.018, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 12.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1109.2238, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3276, scimark_benchmark: 1305.7341, usercpu_time_millis: 24.909, usercpu_time_millis_testing: 2.695, usercpu_time_millis_training: 22.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1330.3535, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1521, scimark_benchmark: 1320.0135, usercpu_time_millis: 49, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 46.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1268.0591, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2016, scimark_benchmark: 1324.1951, usercpu_time_millis: 17.462, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 16.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1275.1778, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1786, scimark_benchmark: 1313.9888, usercpu_time_millis: 10.483, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 9.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1289.2293, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1788, scimark_benchmark: 1306.4257, usercpu_time_millis: 31.257, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 28.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1300.2346, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.084, root_relative_squared_error: 0.1691, scimark_benchmark: 1308.9012, usercpu_time_millis: 46.46, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 43.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0179, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1312.0395, usercpu_time_millis: 8.608, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 7.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1233.4995, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2177, scimark_benchmark: 1313.5018, usercpu_time_millis: 6.604, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 6.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9453, kappa: 0.889, kb_relative_information_score: 1084.0935, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9455, predictive_accuracy: 0.9453, prior_entropy: 0.9912, recall: 0.9453, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4115, scimark_benchmark: 1301.3266, usercpu_time_millis: 34.101, usercpu_time_millis_testing: 2.537, usercpu_time_millis_training: 31.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1265.8951, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1333.9945, usercpu_time_millis: 28.803, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 26.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1296.157, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1723, scimark_benchmark: 1314.4197, usercpu_time_millis: 35.553, usercpu_time_millis_testing: 2.604, usercpu_time_millis_training: 32.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.1532, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.084, root_relative_squared_error: 0.169, scimark_benchmark: 1318.8899, usercpu_time_millis: 36.303, usercpu_time_millis_testing: 2.513, usercpu_time_millis_training: 33.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1248.4878, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.236, scimark_benchmark: 1326.9729, usercpu_time_millis: 41.705, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 39.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.9178, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 1324.9588, usercpu_time_millis: 37.197, usercpu_time_millis_testing: 2.413, usercpu_time_millis_training: 34.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1336.7526, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.1459, scimark_benchmark: 1324.9415, usercpu_time_millis: 58.905, usercpu_time_millis_testing: 3.656, usercpu_time_millis_training: 55.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1160.0521, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2871, scimark_benchmark: 1321.057, usercpu_time_millis: 11.921, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 10.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1316.5929, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.1506, scimark_benchmark: 1326.9009, usercpu_time_millis: 51.462, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 48.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1328.2727, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.183, scimark_benchmark: 1304.5879, usercpu_time_millis: 7.348, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 6.947,

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