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: 0.9976, f_measure: 0.9636, kappa: 0.9201, kb_relative_information_score: 1202.9002, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9643, predictive_accuracy: 0.9634, prior_entropy: 0.9313, recall: 0.9634, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5066, scimark_benchmark: 1211.6173, usercpu_time_millis: 45.18, usercpu_time_millis_testing: 2.701, usercpu_time_millis_training: 42.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9545, kappa: 0.9005, kb_relative_information_score: 1020.1445, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9561, predictive_accuracy: 0.9541, prior_entropy: 0.9313, recall: 0.9541, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6017, scimark_benchmark: 1222.8396, usercpu_time_millis: 17.889, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 16.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1831.967, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1317, scimark_benchmark: 1212.0612, usercpu_time_millis: 68.07, usercpu_time_millis_testing: 2.544, usercpu_time_millis_training: 65.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8951, kappa: 0.7633, kb_relative_information_score: 806.5109, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9103, predictive_accuracy: 0.8995, prior_entropy: 0.9313, recall: 0.8995, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6959, scimark_benchmark: 1230.598, usercpu_time_millis: 51.377, usercpu_time_millis_testing: 4.798, usercpu_time_millis_training: 46.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9772, kappa: 0.9496, kb_relative_information_score: 1310.2808, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 0.9313, recall: 0.9773, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4675, scimark_benchmark: 1208.2281, usercpu_time_millis: 3.29, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 3.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1876.7357, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0449, root_relative_squared_error: 0.0943, scimark_benchmark: 1211.5056, usercpu_time_millis: 86.895, usercpu_time_millis_testing: 2.931, usercpu_time_millis_training: 83.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8324, kappa: 0.621, kb_relative_information_score: 608.4486, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8706, predictive_accuracy: 0.8454, prior_entropy: 0.9313, recall: 0.8454, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7772, scimark_benchmark: 1228.2679, usercpu_time_millis: 40.538, usercpu_time_millis_testing: 3.952, usercpu_time_millis_training: 36.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.95, kappa: 0.8911, kb_relative_information_score: 1213.5097, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.953, predictive_accuracy: 0.9495, prior_entropy: 0.9313, recall: 0.9495, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5221, scimark_benchmark: 1223.1178, usercpu_time_millis: 19.942, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 19.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1730.8746, mean_absolute_error: 0.063, 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: 0.1391, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.212, scimark_benchmark: 1237.1028, usercpu_time_millis: 7.047, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 6.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1833.222, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1214, scimark_benchmark: 1220.8421, usercpu_time_millis: 65.191, usercpu_time_millis_testing: 2.386, usercpu_time_millis_training: 62.805,
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: 0.9991, f_measure: 0.9856, kappa: 0.9681, kb_relative_information_score: 1415.8848, mean_absolute_error: 0.1496, 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: 0.3302, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4015, scimark_benchmark: 1222.086, usercpu_time_millis: 45.683, usercpu_time_millis_testing: 3.088, usercpu_time_millis_training: 42.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.5606, kappa: 0.0744, kb_relative_information_score: 304.1569, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7822, predictive_accuracy: 0.6734, prior_entropy: 0.9313, recall: 0.6734, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8888, scimark_benchmark: 1214.5158, usercpu_time_millis: 9.064, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 8.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8921, kappa: 0.7567, kb_relative_information_score: 804.5717, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9055, predictive_accuracy: 0.8964, prior_entropy: 0.9313, recall: 0.8964, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.698, scimark_benchmark: 1228.2308, usercpu_time_millis: 4.32, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1912.9684, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0257, root_relative_squared_error: 0.0539, scimark_benchmark: 1217.7605, usercpu_time_millis: 4.042, usercpu_time_millis_testing: 0.329, 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: 1863.9659, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1084, scimark_benchmark: 1199.2175, usercpu_time_millis: 33.169, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 32.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9418, kappa: 0.8698, kb_relative_information_score: 767.2308, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9452, predictive_accuracy: 0.9428, prior_entropy: 0.9313, recall: 0.9428, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7078, scimark_benchmark: 1212.1052, usercpu_time_millis: 27.616, usercpu_time_millis_testing: 1.973, usercpu_time_millis_training: 25.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9825, kappa: 0.9612, kb_relative_information_score: 1195.6932, mean_absolute_error: 0.2066, 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: 0.456, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5121, scimark_benchmark: 1222.1397, usercpu_time_millis: 12.566, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 11.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1917.9508, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0259, root_relative_squared_error: 0.0544, scimark_benchmark: 1217.3256, usercpu_time_millis: 5.443, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 5.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1852.6747, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.112, scimark_benchmark: 1218.4675, usercpu_time_millis: 10.098, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 9.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.6403, kappa: 0.2191, kb_relative_information_score: 363.8665, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8014, predictive_accuracy: 0.7146, prior_entropy: 0.9313, recall: 0.7146, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8683, scimark_benchmark: 1209.1358, usercpu_time_millis: 10.317, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 9.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1625.7143, mean_absolute_error: 0.0926, 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: 0.2043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2828, scimark_benchmark: 1215.9726, usercpu_time_millis: 8.306, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 7.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.6231, 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: 0.0007, root_relative_squared_error: 0.0015, scimark_benchmark: 1224.4474, usercpu_time_millis: 157.609, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 154.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.2492, mean_absolute_error: 0.0005, 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: 0.0038, root_relative_squared_error: 0.0079, scimark_benchmark: 1209.6114, usercpu_time_millis: 118.514, usercpu_time_millis_testing: 2.171, usercpu_time_millis_training: 116.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1891.2543, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.0534, scimark_benchmark: 1206.118, usercpu_time_millis: 92.485, usercpu_time_millis_testing: 3.325, usercpu_time_millis_training: 89.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1859.1944, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.0961, scimark_benchmark: 1208.2819, usercpu_time_millis: 53.674, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 51.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.7888, 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: 0.0025, root_relative_squared_error: 0.0052, scimark_benchmark: 1208.1036, usercpu_time_millis: 65.554, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 64.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1930.1416, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0148, root_relative_squared_error: 0.0311, scimark_benchmark: 1216.4545, usercpu_time_millis: 121.82, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 119.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1732.2456, mean_absolute_error: 0.0629, 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: 0.1388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.2074, scimark_benchmark: 1207.1985, usercpu_time_millis: 25.229, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 24.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1929.291, 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: 0.0133, root_relative_squared_error: 0.0279, scimark_benchmark: 1225.6999, usercpu_time_millis: 84.047, usercpu_time_millis_testing: 2.438, usercpu_time_millis_training: 81.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.143, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0024, root_relative_squared_error: 0.005, scimark_benchmark: 1218.7797, usercpu_time_millis: 32.625, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 31.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5163, kb_relative_information_score: 0.2818, 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: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1206.1278, usercpu_time_millis: 15.868, usercpu_time_millis_testing: 2.09, usercpu_time_millis_training: 13.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9657, kappa: 0.9238, kb_relative_information_score: 1023.6252, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9665, predictive_accuracy: 0.966, prior_entropy: 0.9313, recall: 0.966, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5983, scimark_benchmark: 1216.3873, usercpu_time_millis: 71.319, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 65.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1885.3116, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.0827, scimark_benchmark: 1216.5756, usercpu_time_millis: 116.243, usercpu_time_millis_testing: 3.736, usercpu_time_millis_training: 112.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5163, kb_relative_information_score: 0.0888, 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: 1216.2367, usercpu_time_millis: 8.377, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 7.209,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1642.7061, mean_absolute_error: 0.0886, 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: 0.1955, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2649, scimark_benchmark: 1222.5718, usercpu_time_millis: 89.092, usercpu_time_millis_testing: 4.21, usercpu_time_millis_training: 84.882,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1938.7953, 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: 0.0039, root_relative_squared_error: 0.0082, scimark_benchmark: 1228.2652, usercpu_time_millis: 144.707, usercpu_time_millis_testing: 2.741, usercpu_time_millis_training: 141.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1934.4054, 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: 0.0079, root_relative_squared_error: 0.0167, scimark_benchmark: 1219.4793, usercpu_time_millis: 102.892, usercpu_time_millis_testing: 2.594, usercpu_time_millis_training: 100.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8133, kappa: 0.6227, kb_relative_information_score: 648.6064, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8671, predictive_accuracy: 0.8089, prior_entropy: 0.9313, recall: 0.8089, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.775, scimark_benchmark: 1225.8617, usercpu_time_millis: 42.966, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 40.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.5163, kb_relative_information_score: 270.3408, mean_absolute_error: 0.3959, 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: 0.8739, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8924, scimark_benchmark: 1225.0644, usercpu_time_millis: 38.931, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 36.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1817.7611, mean_absolute_error: 0.0377, 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: 0.0832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.1472, scimark_benchmark: 1223.4981, usercpu_time_millis: 104.779, usercpu_time_millis_testing: 4.042, usercpu_time_millis_training: 100.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9824, kappa: 0.9611, kb_relative_information_score: 1281.5548, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9313, recall: 0.9825, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4753, scimark_benchmark: 1228.5187, usercpu_time_millis: 34.288, usercpu_time_millis_testing: 2.611, usercpu_time_millis_training: 31.677,
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: 0.9956, f_measure: 0.9741, kappa: 0.9427, kb_relative_information_score: 1167.1435, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 0.9313, recall: 0.9742, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5331, scimark_benchmark: 1209.7135, usercpu_time_millis: 34.626, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 31.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1913.585, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0459, scimark_benchmark: 1227.6859, usercpu_time_millis: 95.603, usercpu_time_millis_testing: 2.059, usercpu_time_millis_training: 93.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1844.3892, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1215, scimark_benchmark: 1228.102, usercpu_time_millis: 108.583, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 105.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1920.7033, 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: 0.018, root_relative_squared_error: 0.0378, scimark_benchmark: 1214.2444, usercpu_time_millis: 26.896, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 26.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9494, kappa: 0.8871, kb_relative_information_score: 824.1168, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9512, predictive_accuracy: 0.95, prior_entropy: 0.9313, recall: 0.95, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6831, scimark_benchmark: 1226.1539, usercpu_time_millis: 20.306, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 18.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8829, kappa: 0.7355, kb_relative_information_score: 782.0233, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9024, predictive_accuracy: 0.8887, prior_entropy: 0.9313, recall: 0.8887, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7068, scimark_benchmark: 1225.2594, usercpu_time_millis: 17.378, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 15.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1852.256, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1132, scimark_benchmark: 1218.4061, usercpu_time_millis: 90.153, usercpu_time_millis_testing: 2.893, usercpu_time_millis_training: 87.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1806.4447, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1418, scimark_benchmark: 1226.4628, usercpu_time_millis: 49.213, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 47.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1937.2364, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.004, root_relative_squared_error: 0.0084, scimark_benchmark: 1225.3073, usercpu_time_millis: 21.603, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 21.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.7616, kappa: 0.5407, kb_relative_information_score: 679.062, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8574, predictive_accuracy: 0.7579, prior_entropy: 0.9313, recall: 0.7579, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7791, scimark_benchmark: 1225.324, usercpu_time_millis: 51.564, usercpu_time_millis_testing: 2.486, usercpu_time_millis_training: 49.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5163, kb_relative_information_score: -0.0148, 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: 1225.4587, usercpu_time_millis: 9.604, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 8.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5163, kb_relative_information_score: -0.7324, 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: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1224.2506, usercpu_time_millis: 4.157, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5163, kb_relative_information_score: 0.1252, 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: 1225.4442, usercpu_time_millis: 7.836, usercpu_time_millis_testing: 1.612, usercpu_time_millis_training: 6.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1732.6803, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.2077, scimark_benchmark: 1196.2023, usercpu_time_millis: 49.892, usercpu_time_millis_testing: 2.469, usercpu_time_millis_training: 47.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9673, kappa: 0.9275, kb_relative_information_score: 886.983, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 0.9313, recall: 0.9675, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6545, scimark_benchmark: 1227.4889, usercpu_time_millis: 27.537, usercpu_time_millis_testing: 1.869, usercpu_time_millis_training: 25.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.5163, kb_relative_information_score: 259.8624, mean_absolute_error: 0.3992, 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: 0.8812, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8945, scimark_benchmark: 1223.8949, usercpu_time_millis: 16.737, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 15.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9694, kappa: 0.9321, kb_relative_information_score: 1042.0343, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9699, predictive_accuracy: 0.9696, prior_entropy: 0.9313, recall: 0.9696, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.5887, scimark_benchmark: 1226.0433, usercpu_time_millis: 34.894, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 32.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.2906, 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: 0.0009, root_relative_squared_error: 0.002, scimark_benchmark: 1224.6353, usercpu_time_millis: 68.651, usercpu_time_millis_testing: 1.592, usercpu_time_millis_training: 67.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1939.7368, 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: 1217.4471, usercpu_time_millis: 119.941, usercpu_time_millis_testing: 2.117, usercpu_time_millis_training: 117.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.2175, 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: 0.0006, root_relative_squared_error: 0.0013, scimark_benchmark: 1227.5039, usercpu_time_millis: 100.129, usercpu_time_millis_testing: 2.166, usercpu_time_millis_training: 97.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1822.3081, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1347, scimark_benchmark: 1229.587, usercpu_time_millis: 22.898, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 22.065,

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

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

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

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