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: 1846.2542, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1203, scimark_benchmark: 1305.6769, usercpu_time_millis: 115.328, usercpu_time_millis_testing: 4.114, usercpu_time_millis_training: 111.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1736.1513, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.2049, scimark_benchmark: 1316.0325, usercpu_time_millis: 95.342, usercpu_time_millis_testing: 4.285, usercpu_time_millis_training: 91.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.4837, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0102, root_relative_squared_error: 0.0214, scimark_benchmark: 1315.9142, usercpu_time_millis: 51.763, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 50.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.7992, 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: 0.0072, root_relative_squared_error: 0.0151, scimark_benchmark: 1310.3714, usercpu_time_millis: 96.924, usercpu_time_millis_testing: 2.269, usercpu_time_millis_training: 94.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1614.6157, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2823, scimark_benchmark: 1295.7798, usercpu_time_millis: 99.235, usercpu_time_millis_testing: 4.828, usercpu_time_millis_training: 94.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1871.5513, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.0976, scimark_benchmark: 1294.3205, usercpu_time_millis: 14.005, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 13.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1916.1782, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.0533, scimark_benchmark: 1288.4764, usercpu_time_millis: 76.086, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 73.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9694, kappa: 0.932, kb_relative_information_score: 1112.8928, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.97, predictive_accuracy: 0.9696, prior_entropy: 0.9313, recall: 0.9696, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.559, scimark_benchmark: 1284.7614, usercpu_time_millis: 53.966, usercpu_time_millis_testing: 4.457, usercpu_time_millis_training: 49.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9684, kappa: 0.9298, kb_relative_information_score: 1123.6344, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9688, predictive_accuracy: 0.9686, prior_entropy: 0.9313, recall: 0.9686, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5538, scimark_benchmark: 1313.2439, usercpu_time_millis: 27.284, usercpu_time_millis_testing: 2.116, usercpu_time_millis_training: 25.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1889.4544, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.0807, scimark_benchmark: 1312.9058, usercpu_time_millis: 92.326, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 89.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1886.2352, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0854, scimark_benchmark: 1290.4466, usercpu_time_millis: 106.045, usercpu_time_millis_testing: 3.506, usercpu_time_millis_training: 102.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1811.2362, mean_absolute_error: 0.0401, 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: 0.0885, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.143, scimark_benchmark: 1319.5135, usercpu_time_millis: 69.11, usercpu_time_millis_testing: 2.734, usercpu_time_millis_training: 66.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9605, kappa: 0.9121, kb_relative_information_score: 1038.0007, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9615, predictive_accuracy: 0.9608, prior_entropy: 0.9313, recall: 0.9608, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5937, scimark_benchmark: 1287.9109, usercpu_time_millis: 37.658, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 34.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1916.2312, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0226, root_relative_squared_error: 0.0474, scimark_benchmark: 1278.7515, usercpu_time_millis: 33.211, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 32.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1781.0618, mean_absolute_error: 0.049, 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: 0.1082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1675, scimark_benchmark: 1316.7161, usercpu_time_millis: 80.017, usercpu_time_millis_testing: 3.407, usercpu_time_millis_training: 76.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1880.1332, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.0908, scimark_benchmark: 1296.3005, usercpu_time_millis: 43.125, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 41.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1851.6665, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1135, scimark_benchmark: 1318.6955, usercpu_time_millis: 59.062, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 56.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1827.7408, mean_absolute_error: 0.0349, 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: 0.0771, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.136, scimark_benchmark: 1292.2264, usercpu_time_millis: 32.475, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 31.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1924.2742, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0437, scimark_benchmark: 1326.9885, usercpu_time_millis: 5.571, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 5.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9897, kappa: 0.9773, kb_relative_information_score: 1534.2115, mean_absolute_error: 0.1181, 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: 0.2606, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3333, scimark_benchmark: 1301.4865, usercpu_time_millis: 19.28, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 18.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.5217, 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: 0.0163, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0497, scimark_benchmark: 1277.689, usercpu_time_millis: 129.535, usercpu_time_millis_testing: 3.476, usercpu_time_millis_training: 126.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1884.0822, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.0893, scimark_benchmark: 1307.1835, usercpu_time_millis: 140.967, usercpu_time_millis_testing: 4.019, usercpu_time_millis_training: 136.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1928.4872, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0353, scimark_benchmark: 1321.538, usercpu_time_millis: 123.866, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 120.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1870.0944, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.0999, scimark_benchmark: 1287.3275, usercpu_time_millis: 95.81, usercpu_time_millis_testing: 2.708, usercpu_time_millis_training: 93.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 1672.3735, mean_absolute_error: 0.08, 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: 0.1767, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.118, root_relative_squared_error: 0.248, scimark_benchmark: 1293.5264, usercpu_time_millis: 18.542, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 17.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1799.7435, mean_absolute_error: 0.0432, 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: 0.0953, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.1596, scimark_benchmark: 1313.2198, usercpu_time_millis: 82.927, usercpu_time_millis_testing: 3.418, usercpu_time_millis_training: 79.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1810.9104, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.15, scimark_benchmark: 1293.2449, usercpu_time_millis: 103.202, usercpu_time_millis_testing: 3.595, usercpu_time_millis_training: 99.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1825.3758, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1401, scimark_benchmark: 1319.3761, usercpu_time_millis: 101.002, usercpu_time_millis_testing: 4.148, usercpu_time_millis_training: 96.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9866, kappa: 0.9705, kb_relative_information_score: 1469.2483, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 0.9313, recall: 0.9866, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3698, scimark_benchmark: 1315.9555, usercpu_time_millis: 68.464, usercpu_time_millis_testing: 4.244, usercpu_time_millis_training: 64.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.984, kappa: 0.9646, kb_relative_information_score: 1289.5732, mean_absolute_error: 0.1818, 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: 0.4013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4692, scimark_benchmark: 1287.8437, usercpu_time_millis: 41.518, usercpu_time_millis_testing: 2.965, usercpu_time_millis_training: 38.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1823.2356, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.14, scimark_benchmark: 1316.35, usercpu_time_millis: 63.887, usercpu_time_millis_testing: 2.741, usercpu_time_millis_training: 61.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9881, kappa: 0.9738, kb_relative_information_score: 1431.0753, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9881, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3911, scimark_benchmark: 1295.5907, usercpu_time_millis: 63.098, usercpu_time_millis_testing: 4.616, usercpu_time_millis_training: 58.482,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1894.8994, 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: 0.0322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0689, scimark_benchmark: 1313.3067, usercpu_time_millis: 3.988, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 3.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.0341, 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: 0.0038, scimark_benchmark: 1297.4776, usercpu_time_millis: 107.753, usercpu_time_millis_testing: 2.021, usercpu_time_millis_training: 105.732,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1739.0201, mean_absolute_error: 0.0606, 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: 0.1339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2052, scimark_benchmark: 1302.1331, usercpu_time_millis: 8.282, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 7.921,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1905.3061, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0247, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0318, root_relative_squared_error: 0.0667, scimark_benchmark: 1264.3505, usercpu_time_millis: 63.968, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 62.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8844, kappa: 0.739, kb_relative_information_score: 788.2664, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9016, predictive_accuracy: 0.8897, prior_entropy: 0.9313, recall: 0.8897, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7035, scimark_benchmark: 1327.0918, usercpu_time_millis: 15.502, usercpu_time_millis_testing: 1.349, usercpu_time_millis_training: 14.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1888.3814, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.0838, scimark_benchmark: 1318.1023, usercpu_time_millis: 104.532, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 101.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9863, kb_relative_information_score: 1612.331, mean_absolute_error: 0.0969, 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: 0.2139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2852, scimark_benchmark: 1291.6502, usercpu_time_millis: 9.305, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 8.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9803, kappa: 0.9565, kb_relative_information_score: 1221.5644, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9805, predictive_accuracy: 0.9804, prior_entropy: 0.9313, recall: 0.9804, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5066, scimark_benchmark: 1313.3888, usercpu_time_millis: 78.171, usercpu_time_millis_testing: 6.138, usercpu_time_millis_training: 72.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1898.1789, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0318, root_relative_squared_error: 0.0669, scimark_benchmark: 1281.7619, usercpu_time_millis: 83.62, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 80.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1577.6753, mean_absolute_error: 0.1064, 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: 0.2349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.306, scimark_benchmark: 1286.7935, usercpu_time_millis: 44.641, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 41.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6628, mean_absolute_error: 0, 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, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0004, scimark_benchmark: 1290.2754, usercpu_time_millis: 52.756, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 51.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.3282, 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: 0.001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0036, root_relative_squared_error: 0.0076, scimark_benchmark: 1298.216, usercpu_time_millis: 105.874, usercpu_time_millis_testing: 2.877, usercpu_time_millis_training: 102.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1897.3863, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0302, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0746, scimark_benchmark: 1316.3641, usercpu_time_millis: 133.021, usercpu_time_millis_testing: 3.876, usercpu_time_millis_training: 129.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.8769, 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: 0.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0049, root_relative_squared_error: 0.0103, scimark_benchmark: 1293.2702, usercpu_time_millis: 69.912, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 68.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1542.0439, mean_absolute_error: 0.116, 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: 0.256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.328, scimark_benchmark: 1311.9568, usercpu_time_millis: 51.113, usercpu_time_millis_testing: 3.176, usercpu_time_millis_training: 47.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9799, kappa: 0.9555, kb_relative_information_score: 1353.5535, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9313, recall: 0.9799, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4347, scimark_benchmark: 1317.685, usercpu_time_millis: 30.97, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 28.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.0463, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.004, root_relative_squared_error: 0.0084, scimark_benchmark: 1318.7249, usercpu_time_millis: 173.403, usercpu_time_millis_testing: 3.336, usercpu_time_millis_training: 170.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.6359, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.0151, scimark_benchmark: 1316.0239, usercpu_time_millis: 15.342, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 14.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1699.5518, mean_absolute_error: 0.0723, 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: 0.1596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2286, scimark_benchmark: 1295.972, usercpu_time_millis: 40.149, usercpu_time_millis_testing: 1.796, usercpu_time_millis_training: 38.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1796.1097, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1613, scimark_benchmark: 1317.3963, usercpu_time_millis: 129.053, usercpu_time_millis_testing: 4.204, usercpu_time_millis_training: 124.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1935.3047, 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: 0.0039, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0071, root_relative_squared_error: 0.0149, scimark_benchmark: 1295.7616, usercpu_time_millis: 113.66, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 110.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9886, kb_relative_information_score: 1642.5389, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2654, scimark_benchmark: 1289.7995, usercpu_time_millis: 63.874, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 60.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.2457, 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: 0.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.001, root_relative_squared_error: 0.002, scimark_benchmark: 1308.1309, usercpu_time_millis: 53.845, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 52.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1805.7643, mean_absolute_error: 0.0414, 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: 0.0914, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.1545, scimark_benchmark: 1293.3837, usercpu_time_millis: 127.585, usercpu_time_millis_testing: 4.609, usercpu_time_millis_training: 122.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1819.6595, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1429, scimark_benchmark: 1321.2439, usercpu_time_millis: 65.066, usercpu_time_millis_testing: 2.668, usercpu_time_millis_training: 62.398,
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: 1290.7876, usercpu_time_millis: 180.891, usercpu_time_millis_testing: 3.134, usercpu_time_millis_training: 177.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9647, kappa: 0.9215, kb_relative_information_score: 1068.9365, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 0.9313, recall: 0.965, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5798, scimark_benchmark: 1325.4011, usercpu_time_millis: 47.917, usercpu_time_millis_testing: 3.737, usercpu_time_millis_training: 44.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.429, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0155, scimark_benchmark: 1290.6881, usercpu_time_millis: 59.849, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 58.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1931.3278, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0283, scimark_benchmark: 1295.9948, usercpu_time_millis: 154.925, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 151.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.3489, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0226, root_relative_squared_error: 0.0475, scimark_benchmark: 1292.1565, usercpu_time_millis: 61.662, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 60.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9912, kappa: 0.9806, kb_relative_information_score: 1474.2845, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9313, recall: 0.9912, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3701, scimark_benchmark: 1301.2178, usercpu_time_millis: 124.772, usercpu_time_millis_testing: 7.892, usercpu_time_millis_training: 116.88,

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