OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.7184, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0027, root_relative_squared_error: 0.0056, scimark_benchmark: 1294.3778, usercpu_time_millis: 112.531, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 110.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1925.3241, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0354, scimark_benchmark: 1310.6592, usercpu_time_millis: 63.199, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 61.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.8075, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0032, root_relative_squared_error: 0.0066, scimark_benchmark: 1318.0854, usercpu_time_millis: 93.089, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 90.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1892.9741, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0372, root_relative_squared_error: 0.0781, scimark_benchmark: 1298.0851, usercpu_time_millis: 131.069, usercpu_time_millis_testing: 3.306, usercpu_time_millis_training: 127.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1898.5458, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0825, scimark_benchmark: 1297.1522, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1923.4015, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0412, scimark_benchmark: 1300.1565, usercpu_time_millis: 116.79, usercpu_time_millis_testing: 3.182, usercpu_time_millis_training: 113.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1932.9887, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0116, root_relative_squared_error: 0.0243, scimark_benchmark: 1285.3508, usercpu_time_millis: 106.309, usercpu_time_millis_testing: 2.373, usercpu_time_millis_training: 103.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1853.4954, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1154, scimark_benchmark: 1272.5798, usercpu_time_millis: 27.328, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 26.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9726, kb_relative_information_score: 1374.4427, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4243, scimark_benchmark: 1322.3074, usercpu_time_millis: 50.847, usercpu_time_millis_testing: 3.489, usercpu_time_millis_training: 47.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1504.9421, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3495, scimark_benchmark: 1300.0857, usercpu_time_millis: 68.623, usercpu_time_millis_testing: 3.891, usercpu_time_millis_training: 64.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1893.9124, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0362, root_relative_squared_error: 0.076, scimark_benchmark: 1307.254, usercpu_time_millis: 37.7, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 36.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1821.764, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.1415, scimark_benchmark: 1328.5025, usercpu_time_millis: 52.224, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 50.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1854.2403, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1051, scimark_benchmark: 1318.8399, usercpu_time_millis: 80.345, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 77.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.2101, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.007, root_relative_squared_error: 0.0148, scimark_benchmark: 1321.0416, usercpu_time_millis: 148.945, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 145.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1890.9601, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0353, root_relative_squared_error: 0.0743, scimark_benchmark: 1296.4244, usercpu_time_millis: 65.618, usercpu_time_millis_testing: 2.395, usercpu_time_millis_training: 63.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9882, kappa: 0.9739, kb_relative_information_score: 1484.8726, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3608, scimark_benchmark: 1304.5977, usercpu_time_millis: 36.35, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 34.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9695, kappa: 0.9323, kb_relative_information_score: 1139.0734, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 0.9313, recall: 0.9696, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5464, scimark_benchmark: 1317.0874, usercpu_time_millis: 25.395, usercpu_time_millis_testing: 2.113, usercpu_time_millis_training: 23.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1883.3562, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.0866, scimark_benchmark: 1316.7714, usercpu_time_millis: 36.791, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 35.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 1380.4364, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4224, scimark_benchmark: 1293.2028, usercpu_time_millis: 12.001, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 11.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9746, kappa: 0.9437, kb_relative_information_score: 1174.3841, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9313, recall: 0.9748, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5295, scimark_benchmark: 1318.7896, usercpu_time_millis: 62.754, usercpu_time_millis_testing: 4.443, usercpu_time_millis_training: 58.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1840.5733, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.129, scimark_benchmark: 1302.8054, usercpu_time_millis: 116.416, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 112.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8901, kappa: 0.7521, kb_relative_information_score: 804.3715, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9056, predictive_accuracy: 0.8949, prior_entropy: 0.9313, recall: 0.8949, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6974, scimark_benchmark: 1300.4874, usercpu_time_millis: 13.073, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 12.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9001, kappa: 0.7748, kb_relative_information_score: 838.0771, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9143, predictive_accuracy: 0.9042, prior_entropy: 0.9313, recall: 0.9042, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6826, scimark_benchmark: 1314.171, usercpu_time_millis: 62.407, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 56.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1933.9342, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0088, root_relative_squared_error: 0.0185, scimark_benchmark: 1294.1353, usercpu_time_millis: 106.553, usercpu_time_millis_testing: 2.636, usercpu_time_millis_training: 103.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8136, kappa: 0.5789, kb_relative_information_score: 575.6337, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8586, predictive_accuracy: 0.83, prior_entropy: 0.9313, recall: 0.83, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7908, scimark_benchmark: 1316.35, usercpu_time_millis: 20.39, usercpu_time_millis_testing: 2.106, usercpu_time_millis_training: 18.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.5992, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0031, root_relative_squared_error: 0.0065, scimark_benchmark: 1321.6233, usercpu_time_millis: 124.465, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 122.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.87, kappa: 0.7062, kb_relative_information_score: 743.7372, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8909, predictive_accuracy: 0.8769, prior_entropy: 0.9313, recall: 0.8769, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7233, scimark_benchmark: 1286.8492, usercpu_time_millis: 4.062, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 3.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.7359, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0069, root_relative_squared_error: 0.0145, scimark_benchmark: 1314.137, usercpu_time_millis: 126.085, usercpu_time_millis_testing: 2.856, usercpu_time_millis_training: 123.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1924.372, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0175, root_relative_squared_error: 0.0367, scimark_benchmark: 1296.6461, usercpu_time_millis: 36.123, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 35.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.7596, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0412, scimark_benchmark: 1299.3578, usercpu_time_millis: 32.757, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 31.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.1294, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0026, scimark_benchmark: 1298.0469, usercpu_time_millis: 15.786, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 15.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 1297.5542, usercpu_time_millis: 37.92, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 37.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9757, kappa: 0.9461, kb_relative_information_score: 1249.0958, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9759, predictive_accuracy: 0.9758, prior_entropy: 0.9313, recall: 0.9758, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4932, scimark_benchmark: 1286.0825, usercpu_time_millis: 5.238, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 4.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.4632, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0019, scimark_benchmark: 1316.8993, usercpu_time_millis: 157.401, usercpu_time_millis_testing: 2.693, usercpu_time_millis_training: 154.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1642.713, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2652, scimark_benchmark: 1293.697, usercpu_time_millis: 92.682, usercpu_time_millis_testing: 4.662, usercpu_time_millis_training: 88.02,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.984, kappa: 0.9646, kb_relative_information_score: 1345.9684, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9313, recall: 0.984, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4427, scimark_benchmark: 1306.7133, usercpu_time_millis: 5.453, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 5.015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1899.0491, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0336, root_relative_squared_error: 0.0706, scimark_benchmark: 1317.0406, usercpu_time_millis: 10.292, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 9.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1873.3386, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.0912, scimark_benchmark: 1297.9567, usercpu_time_millis: 63.242, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 60.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1731.309, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2085, scimark_benchmark: 1306.9344, usercpu_time_millis: 35.715, usercpu_time_millis_testing: 1.527, usercpu_time_millis_training: 34.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1875.3155, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.0828, scimark_benchmark: 1295.7869, usercpu_time_millis: 64.487, usercpu_time_millis_testing: 2.355, usercpu_time_millis_training: 62.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.4624, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0214, root_relative_squared_error: 0.045, scimark_benchmark: 1274.6706, usercpu_time_millis: 106.351, usercpu_time_millis_testing: 2.646, usercpu_time_millis_training: 103.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.7698, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0071, root_relative_squared_error: 0.0149, scimark_benchmark: 1295.0279, usercpu_time_millis: 44.816, usercpu_time_millis_testing: 1.321, usercpu_time_millis_training: 43.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1467.6508, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3706, scimark_benchmark: 1302.7501, usercpu_time_millis: 74.147, usercpu_time_millis_testing: 4.492, usercpu_time_millis_training: 69.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8773, kappa: 0.7227, kb_relative_information_score: 760.977, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8977, predictive_accuracy: 0.8836, prior_entropy: 0.9313, recall: 0.8836, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7152, scimark_benchmark: 1304.9421, usercpu_time_millis: 51.672, usercpu_time_millis_testing: 4.354, usercpu_time_millis_training: 47.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9892, kappa: 0.9761, kb_relative_information_score: 1412.3199, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.9313, recall: 0.9892, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4042, scimark_benchmark: 1308.9268, usercpu_time_millis: 71.265, usercpu_time_millis_testing: 4.874, usercpu_time_millis_training: 66.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.984, kappa: 0.9646, kb_relative_information_score: 1311.9349, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9313, recall: 0.984, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4577, scimark_benchmark: 1313.7499, usercpu_time_millis: 54.195, usercpu_time_millis_testing: 4.018, usercpu_time_millis_training: 50.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1929.7857, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.0271, scimark_benchmark: 1328.9269, usercpu_time_millis: 47.356, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 46.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1694.8477, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2322, scimark_benchmark: 1296.0888, usercpu_time_millis: 71.237, usercpu_time_millis_testing: 3.559, usercpu_time_millis_training: 67.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1899.3092, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.033, root_relative_squared_error: 0.0694, scimark_benchmark: 1300.8565, usercpu_time_millis: 115.836, usercpu_time_millis_testing: 3.12, usercpu_time_millis_training: 112.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1926.9307, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0297, scimark_benchmark: 1322.46, usercpu_time_millis: 20.148, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 19.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1793.2886, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.1632, scimark_benchmark: 1302.025, usercpu_time_millis: 83.511, usercpu_time_millis_testing: 3.283, usercpu_time_millis_training: 80.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.5515, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0048, scimark_benchmark: 1296.288, usercpu_time_millis: 48.656, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 47.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1839.6795, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1277, scimark_benchmark: 1300.8651, usercpu_time_millis: 100.056, usercpu_time_millis_testing: 3.196, usercpu_time_millis_training: 96.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.3183, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0021, root_relative_squared_error: 0.0044, scimark_benchmark: 1301.6248, usercpu_time_millis: 8.19, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 7.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.7854, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0363, scimark_benchmark: 1319.6948, usercpu_time_millis: 69.016, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 67.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.7742, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0015, root_relative_squared_error: 0.0032, scimark_benchmark: 1300.3746, usercpu_time_millis: 43.786, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 42.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9726, kb_relative_information_score: 1375.621, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9313, recall: 0.9876, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4238, scimark_benchmark: 1321.311, usercpu_time_millis: 91.08, usercpu_time_millis_testing: 5.984, usercpu_time_millis_training: 85.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1915.6327, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0457, scimark_benchmark: 1288.4945, usercpu_time_millis: 45.95, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 44.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 1319.2294, usercpu_time_millis: 119.498, usercpu_time_millis_testing: 2.133, usercpu_time_millis_training: 117.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1850.3744, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1161, scimark_benchmark: 1302.6423, usercpu_time_millis: 9.768, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 9.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1929.1797, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0316, scimark_benchmark: 1300.7269, usercpu_time_millis: 19.754, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 19.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.0114, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0063, root_relative_squared_error: 0.0133, scimark_benchmark: 1304.8692, usercpu_time_millis: 137.996, usercpu_time_millis_testing: 2.922, usercpu_time_millis_training: 135.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1894.7577, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.0747, scimark_benchmark: 1300.463, usercpu_time_millis: 52.572, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 51.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.0678, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0037, scimark_benchmark: 1325.933, usercpu_time_millis: 124.479, usercpu_time_millis_testing: 2.414, usercpu_time_millis_training: 122.065,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs