OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 145872 Supervised Classification steel-plates-fault 132228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.972, kappa: 0.9379, kb_relative_information_score: 1134.7197, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 0.9313, recall: 0.9722, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5485, scimark_benchmark: 1236.6048, usercpu_time_millis: 86.794, usercpu_time_millis_testing: 6.858, usercpu_time_millis_training: 79.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8138, kappa: 0.5794, kb_relative_information_score: 561.0531, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.861, predictive_accuracy: 0.8305, prior_entropy: 0.9313, recall: 0.8305, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7946, scimark_benchmark: 1230.2854, usercpu_time_millis: 21.788, usercpu_time_millis_testing: 2.755, usercpu_time_millis_training: 19.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1573.3252, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3111, scimark_benchmark: 1239.9622, usercpu_time_millis: 18.853, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 17.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8422, kappa: 0.6432, kb_relative_information_score: 630.9718, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8769, predictive_accuracy: 0.8537, prior_entropy: 0.9313, recall: 0.8537, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7685, scimark_benchmark: 1231.0195, usercpu_time_millis: 11.863, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 10.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.984, kappa: 0.9646, kb_relative_information_score: 1378.0381, mean_absolute_error: 0.16, 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: 0.3531, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4193, scimark_benchmark: 1233.572, usercpu_time_millis: 49.064, usercpu_time_millis_testing: 3.431, usercpu_time_millis_training: 45.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.982, kappa: 0.9601, kb_relative_information_score: 1363.4449, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9313, recall: 0.982, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4284, scimark_benchmark: 1227.8315, usercpu_time_millis: 60.053, usercpu_time_millis_testing: 3.882, usercpu_time_millis_training: 56.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1597.0448, mean_absolute_error: 0.1014, 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: 0.2238, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2916, scimark_benchmark: 1231.41, usercpu_time_millis: 46.592, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 44.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8837, kappa: 0.7375, kb_relative_information_score: 788.1575, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9016, predictive_accuracy: 0.8892, prior_entropy: 0.9313, recall: 0.8892, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7041, scimark_benchmark: 1230.5882, usercpu_time_millis: 59.371, usercpu_time_millis_testing: 5.546, usercpu_time_millis_training: 53.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9736, kappa: 0.9416, kb_relative_information_score: 1210.9496, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9738, predictive_accuracy: 0.9737, prior_entropy: 0.9313, recall: 0.9737, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5111, scimark_benchmark: 1236.4172, usercpu_time_millis: 46.932, usercpu_time_millis_testing: 3.516, usercpu_time_millis_training: 43.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9863, kb_relative_information_score: 1463.9384, mean_absolute_error: 0.1385, 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: 0.3057, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3644, scimark_benchmark: 1232.433, usercpu_time_millis: 48.308, usercpu_time_millis_testing: 2.594, usercpu_time_millis_training: 45.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.6912, kappa: 0.3186, kb_relative_information_score: 423.9383, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8145, predictive_accuracy: 0.7445, prior_entropy: 0.9313, recall: 0.7445, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.847, scimark_benchmark: 1229.3001, usercpu_time_millis: 25.587, usercpu_time_millis_testing: 2.587, usercpu_time_millis_training: 23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9284, kappa: 0.8396, kb_relative_information_score: 789.0431, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9329, predictive_accuracy: 0.9299, prior_entropy: 0.9313, recall: 0.9299, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7, scimark_benchmark: 1226.7602, usercpu_time_millis: 37.362, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 34.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9788, kappa: 0.9532, kb_relative_information_score: 1350.0942, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9313, recall: 0.9789, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4415, scimark_benchmark: 1225.2169, usercpu_time_millis: 3.347, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 3.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1693.6273, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9313, recall: 0.9959, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.2342, scimark_benchmark: 1229.3455, usercpu_time_millis: 18.869, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 17.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9824, kappa: 0.9611, kb_relative_information_score: 1218.1002, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9313, recall: 0.9825, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5022, scimark_benchmark: 1230.3141, usercpu_time_millis: 77.729, usercpu_time_millis_testing: 4.575, usercpu_time_millis_training: 73.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9819, kappa: 0.9601, kb_relative_information_score: 1177.4638, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9313, recall: 0.982, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5203, scimark_benchmark: 1233.6947, usercpu_time_millis: 17.622, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 16.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9897, kappa: 0.9772, kb_relative_information_score: 1494.8261, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9313, recall: 0.9897, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3567, scimark_benchmark: 1227.2945, usercpu_time_millis: 13.322, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 12.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5163, kb_relative_information_score: 0.0781, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1234.5981, usercpu_time_millis: 10.621, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 9.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9768, kappa: 0.9486, kb_relative_information_score: 1251.7854, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 0.9313, recall: 0.9768, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4898, scimark_benchmark: 1239.6413, usercpu_time_millis: 48.776, usercpu_time_millis_testing: 3.679, usercpu_time_millis_training: 45.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8742, kappa: 0.7158, kb_relative_information_score: 750.0659, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8961, predictive_accuracy: 0.881, prior_entropy: 0.9313, recall: 0.881, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7196, scimark_benchmark: 1229.7272, usercpu_time_millis: 30.799, usercpu_time_millis_testing: 2.794, usercpu_time_millis_training: 28.005,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.6311, kappa: 0.2016, kb_relative_information_score: 365.4025, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7989, predictive_accuracy: 0.7094, prior_entropy: 0.9313, recall: 0.7094, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8673, scimark_benchmark: 1224.641, usercpu_time_millis: 25.016, usercpu_time_millis_testing: 2.772, usercpu_time_millis_training: 22.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9642, kappa: 0.9203, kb_relative_information_score: 1058.2123, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9649, predictive_accuracy: 0.9645, prior_entropy: 0.9313, recall: 0.9645, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5843, scimark_benchmark: 1227.0183, usercpu_time_millis: 73.661, usercpu_time_millis_testing: 6.457, usercpu_time_millis_training: 67.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1592.601, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.2964, scimark_benchmark: 1236.8936, usercpu_time_millis: 72.802, usercpu_time_millis_testing: 3.672, usercpu_time_millis_training: 69.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9824, kappa: 0.9611, kb_relative_information_score: 1138.6121, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9313, recall: 0.9825, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5404, scimark_benchmark: 1235.1402, usercpu_time_millis: 29.682, usercpu_time_millis_testing: 2.029, usercpu_time_millis_training: 27.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 1176.8388, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5168, scimark_benchmark: 1226.0379, usercpu_time_millis: 64.072, usercpu_time_millis_testing: 4.117, usercpu_time_millis_training: 59.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1726.2457, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2131, scimark_benchmark: 1245.4146, usercpu_time_millis: 43.365, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 41.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1638.1743, mean_absolute_error: 0.09, 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: 0.1986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2666, scimark_benchmark: 1220.2119, usercpu_time_millis: 58.61, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 55.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9778, kappa: 0.9509, kb_relative_information_score: 1181.378, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9313, recall: 0.9778, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5203, scimark_benchmark: 1233.2971, usercpu_time_millis: 53.158, usercpu_time_millis_testing: 4.068, usercpu_time_millis_training: 49.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5163, kb_relative_information_score: -0.059, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1234.8607, usercpu_time_millis: 8.758, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 7.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1653.4024, mean_absolute_error: 0.0848, 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: 0.1872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2642, scimark_benchmark: 1249.5071, usercpu_time_millis: 6.385, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 6.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.5163, kb_relative_information_score: 219.0323, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9152, scimark_benchmark: 1228.7085, usercpu_time_millis: 17.076, usercpu_time_millis_testing: 1.842, usercpu_time_millis_training: 15.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8593, kappa: 0.6825, kb_relative_information_score: 587.5963, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.873, predictive_accuracy: 0.8655, prior_entropy: 0.9313, recall: 0.8655, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7808, scimark_benchmark: 1232.6519, usercpu_time_millis: 33.81, usercpu_time_millis_testing: 2.414, usercpu_time_millis_training: 31.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8191, kappa: 0.5912, kb_relative_information_score: 574.3685, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8631, predictive_accuracy: 0.8346, prior_entropy: 0.9313, recall: 0.8346, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7906, scimark_benchmark: 1241.1344, usercpu_time_millis: 20.52, usercpu_time_millis_testing: 2.057, usercpu_time_millis_training: 18.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8493, kappa: 0.6592, kb_relative_information_score: 669.8525, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8793, predictive_accuracy: 0.8594, prior_entropy: 0.9313, recall: 0.8594, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7524, scimark_benchmark: 1237.7258, usercpu_time_millis: 14.247, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 12.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1469.2642, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3629, scimark_benchmark: 1233.4955, usercpu_time_millis: 84.261, usercpu_time_millis_testing: 4.475, usercpu_time_millis_training: 79.786,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8442, kappa: 0.6476, kb_relative_information_score: 607.6012, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8774, predictive_accuracy: 0.8552, prior_entropy: 0.9313, recall: 0.8552, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.774, scimark_benchmark: 1229.1833, usercpu_time_millis: 27.763, usercpu_time_millis_testing: 2.421, usercpu_time_millis_training: 25.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.6241, kappa: 0.1882, kb_relative_information_score: 371.7145, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7937, predictive_accuracy: 0.7053, prior_entropy: 0.9313, recall: 0.7053, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.864, scimark_benchmark: 1235.2563, usercpu_time_millis: 24.739, usercpu_time_millis_testing: 2.684, usercpu_time_millis_training: 22.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1393.5368, mean_absolute_error: 0.1562, 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: 0.3448, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4094, scimark_benchmark: 1242.9057, usercpu_time_millis: 3.107, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 2.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9897, kappa: 0.9773, kb_relative_information_score: 1410.9161, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9313, recall: 0.9897, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.397, scimark_benchmark: 1236.0165, usercpu_time_millis: 16.985, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 16.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5163, kb_relative_information_score: -0.4122, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1237.8092, usercpu_time_millis: 13.287, usercpu_time_millis_testing: 1.649, usercpu_time_millis_training: 11.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.5163, kb_relative_information_score: 211.5363, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9178, scimark_benchmark: 1246.6575, usercpu_time_millis: 14.348, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 12.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.7985, kappa: 0.5455, kb_relative_information_score: 531.2549, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.854, predictive_accuracy: 0.8187, prior_entropy: 0.9313, recall: 0.8187, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8052, scimark_benchmark: 1227.73, usercpu_time_millis: 11.607, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 10.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1660.2143, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2554, scimark_benchmark: 1238.237, usercpu_time_millis: 65.848, usercpu_time_millis_testing: 3.437, usercpu_time_millis_training: 62.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9793, kappa: 0.9543, kb_relative_information_score: 1229.348, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.9313, recall: 0.9794, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5002, scimark_benchmark: 1225.6896, usercpu_time_millis: 57.876, usercpu_time_millis_testing: 4.581, usercpu_time_millis_training: 53.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9861, kappa: 0.9692, kb_relative_information_score: 1325.2077, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4491, scimark_benchmark: 1231.9321, usercpu_time_millis: 36.574, usercpu_time_millis_testing: 2.502, usercpu_time_millis_training: 34.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9907, kappa: 0.9795, kb_relative_information_score: 1466.9112, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3726, scimark_benchmark: 1224.2507, usercpu_time_millis: 98.969, usercpu_time_millis_testing: 5.807, usercpu_time_millis_training: 93.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1694.743, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2321, scimark_benchmark: 1245.5102, usercpu_time_millis: 56.554, usercpu_time_millis_testing: 3.203, usercpu_time_millis_training: 53.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1794.5341, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.165, scimark_benchmark: 1233.2018, usercpu_time_millis: 73.765, usercpu_time_millis_testing: 3.085, usercpu_time_millis_training: 70.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9715, kappa: 0.9366, kb_relative_information_score: 1062.0612, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9721, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5801, scimark_benchmark: 1232.155, usercpu_time_millis: 17.665, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 16.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9016, kappa: 0.7782, kb_relative_information_score: 833.3579, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9135, predictive_accuracy: 0.9052, prior_entropy: 0.9313, recall: 0.9052, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6846, scimark_benchmark: 1230.7064, usercpu_time_millis: 6.521, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 6.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9674, kappa: 0.9276, kb_relative_information_score: 992.6485, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 0.9313, recall: 0.9675, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.6082, scimark_benchmark: 1220.1511, usercpu_time_millis: 4.172, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9907, kappa: 0.9796, kb_relative_information_score: 1340.4328, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4339, scimark_benchmark: 1238.4902, usercpu_time_millis: 64.863, usercpu_time_millis_testing: 4.032, usercpu_time_millis_training: 60.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9715, kappa: 0.9369, kb_relative_information_score: 991.7715, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6116, scimark_benchmark: 1234.9194, usercpu_time_millis: 3.397, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 2.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.912, kappa: 0.8023, kb_relative_information_score: 831.2038, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9193, predictive_accuracy: 0.9145, prior_entropy: 0.9313, recall: 0.9145, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6862, scimark_benchmark: 1234.9971, usercpu_time_millis: 29.391, usercpu_time_millis_testing: 3.196, usercpu_time_millis_training: 26.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9673, kappa: 0.9273, kb_relative_information_score: 1039.5978, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.968, predictive_accuracy: 0.9675, prior_entropy: 0.9313, recall: 0.9675, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5908, scimark_benchmark: 1204.3982, usercpu_time_millis: 60.501, usercpu_time_millis_testing: 5.322, usercpu_time_millis_training: 55.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8625, kappa: 0.6891, kb_relative_information_score: 713.1693, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.888, predictive_accuracy: 0.8707, prior_entropy: 0.9313, recall: 0.8707, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7348, scimark_benchmark: 1226.6243, usercpu_time_millis: 23.785, usercpu_time_millis_testing: 2.467, usercpu_time_millis_training: 21.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9863, kb_relative_information_score: 1479.454, mean_absolute_error: 0.1342, 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: 0.2961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3571, scimark_benchmark: 1222.2512, usercpu_time_millis: 23.413, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 21.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9845, kappa: 0.9657, kb_relative_information_score: 1310.2393, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 0.9313, recall: 0.9845, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4566, scimark_benchmark: 1234.9323, usercpu_time_millis: 89.933, usercpu_time_millis_testing: 6.569, usercpu_time_millis_training: 83.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9824, kappa: 0.9611, kb_relative_information_score: 1257.3232, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9313, recall: 0.9825, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4846, scimark_benchmark: 1228.7342, usercpu_time_millis: 85.689, usercpu_time_millis_testing: 6.53, usercpu_time_millis_training: 79.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.5797, kappa: 0.1079, kb_relative_information_score: 346.0347, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7864, predictive_accuracy: 0.6826, prior_entropy: 0.9313, recall: 0.6826, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8754, scimark_benchmark: 1235.8244, usercpu_time_millis: 15.36, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 13.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9742, kappa: 0.9428, kb_relative_information_score: 1160.0427, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9313, recall: 0.9742, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5317, scimark_benchmark: 1237.8539, usercpu_time_millis: 55.683, usercpu_time_millis_testing: 4.344, usercpu_time_millis_training: 51.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9855, kappa: 0.968, kb_relative_information_score: 1361.5358, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9313, recall: 0.9856, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.431, scimark_benchmark: 1232.3778, usercpu_time_millis: 51.886, usercpu_time_millis_testing: 3.681, usercpu_time_millis_training: 48.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9804, kappa: 0.9567, kb_relative_information_score: 1247.0484, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 0.9313, recall: 0.9804, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.486, scimark_benchmark: 1220.4319, usercpu_time_millis: 51.25, usercpu_time_millis_testing: 3.596, usercpu_time_millis_training: 47.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5163, kb_relative_information_score: -0.2114, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1223.205, usercpu_time_millis: 11.761, usercpu_time_millis_testing: 1.185, usercpu_time_millis_training: 10.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9253, kappa: 0.8323, kb_relative_information_score: 759.8775, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9326, predictive_accuracy: 0.9274, prior_entropy: 0.9313, recall: 0.9274, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7109, scimark_benchmark: 1228.6601, usercpu_time_millis: 11.113, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 10.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9762, kappa: 0.9473, kb_relative_information_score: 1114.8271, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9764, predictive_accuracy: 0.9763, prior_entropy: 0.9313, recall: 0.9763, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.554, scimark_benchmark: 1238.4877, usercpu_time_millis: 41.347, usercpu_time_millis_testing: 3.784, usercpu_time_millis_training: 37.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1753.1248, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1928, scimark_benchmark: 1234.5027, usercpu_time_millis: 94.457, usercpu_time_millis_testing: 4.196, usercpu_time_millis_training: 90.261,

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