OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1031.8357, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3843, scimark_benchmark: 1825.6521, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1754.1079, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1173.4347, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.2863, scimark_benchmark: 1867.725, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1278.7158, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, scimark_benchmark: 1875.8384, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1796.447, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1275.5954, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.217, scimark_benchmark: 1858.544, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1768.0919, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1862.932, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9731, kappa: 0.9456, kb_relative_information_score: 1100.7363, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9736, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3362, scimark_benchmark: 1761.2135, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9335, kappa: 0.865, kb_relative_information_score: 734.3731, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9343, predictive_accuracy: 0.9337, prior_entropy: 0.9912, recall: 0.9337, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5884, scimark_benchmark: 1764.6318, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1085.403, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9728, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3474, scimark_benchmark: 1852.4102, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1255.0125, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2319, scimark_benchmark: 1781.8193, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1238.7526, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1731.6557, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1023.3522, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.969, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.3937, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1837.5308, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8474, kappa: 0.6917, kb_relative_information_score: 318.5231, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8731, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8307, scimark_benchmark: 1760.774, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8632, kappa: 0.7224, kb_relative_information_score: 694.8783, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8639, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6458, scimark_benchmark: 1835.2142, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.6533, kappa: 0.3414, kb_relative_information_score: 138.9941, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7877, predictive_accuracy: 0.6961, prior_entropy: 0.9912, recall: 0.6961, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9278, scimark_benchmark: 1770.4004, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9709, kappa: 0.9412, kb_relative_information_score: 1053.4826, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.372, scimark_benchmark: 1764.5949, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1767.9812, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 997.9431, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4127, scimark_benchmark: 1852.859, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1745.7128, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1254.6713, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321, scimark_benchmark: 1065.9127, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8672, kappa: 0.7304, kb_relative_information_score: 599.0491, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8695, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6847, scimark_benchmark: 1851.8265, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9313, kappa: 0.8605, kb_relative_information_score: 730.5691, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9321, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5919, scimark_benchmark: 1755.8837, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8398, kappa: 0.6747, kb_relative_information_score: 429.6652, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8428, predictive_accuracy: 0.8411, prior_entropy: 0.9912, recall: 0.8411, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.776, scimark_benchmark: 1783.1271, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8522, kappa: 0.7003, kb_relative_information_score: 397.9622, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8643, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7876, scimark_benchmark: 1763.3438, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1817.0416, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1249.9803, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1862.4223, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1847.4813, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.16,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.3966, kb_relative_information_score: 41.3916, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.979, scimark_benchmark: 1793.7737, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116, scimark_benchmark: 1870.6721, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.159,
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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