OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1003.7226, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5205, scimark_benchmark: 1192.8665, usercpu_time_millis: 40.077, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 37.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1337.9567, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.1437, scimark_benchmark: 1183.9383, usercpu_time_millis: 3.77, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 3.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9145, kappa: 0.8266, kb_relative_information_score: 1006.8835, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.915, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5239, scimark_benchmark: 1196.342, usercpu_time_millis: 29.618, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 27.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1263.5512, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2394, scimark_benchmark: 1202.7903, usercpu_time_millis: 16.485, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 15.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.0766, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1566, scimark_benchmark: 1205.0023, usercpu_time_millis: 54.882, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 51.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1323.0603, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2206, scimark_benchmark: 1209.9996, usercpu_time_millis: 5.466, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 5.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1333.5751, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.1474, scimark_benchmark: 1195.1657, usercpu_time_millis: 29.428, usercpu_time_millis_testing: 2.101, usercpu_time_millis_training: 27.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1250.0809, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3156, scimark_benchmark: 1193.2975, usercpu_time_millis: 52.081, usercpu_time_millis_testing: 3.041, usercpu_time_millis_training: 49.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.1234, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1213.0754, usercpu_time_millis: 2.222, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9409, kappa: 0.8802, kb_relative_information_score: 1104.0615, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.941, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4073, scimark_benchmark: 1199.1339, usercpu_time_millis: 33.815, usercpu_time_millis_testing: 2.283, usercpu_time_millis_training: 31.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9124, kappa: 0.8223, kb_relative_information_score: 1011.0811, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9127, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5283, scimark_benchmark: 1200.012, usercpu_time_millis: 24.825, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8976, kappa: 0.792, kb_relative_information_score: 642.7869, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6512, scimark_benchmark: 1196.059, usercpu_time_millis: 11.488, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 9.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1315.5713, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.1639, scimark_benchmark: 1198.1925, usercpu_time_millis: 46.214, usercpu_time_millis_testing: 3.204, usercpu_time_millis_training: 43.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1312.9472, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.1597, scimark_benchmark: 1199.0781, usercpu_time_millis: 1.967, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9089, kappa: 0.815, kb_relative_information_score: 701.4251, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9126, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6152, scimark_benchmark: 1197.9926, usercpu_time_millis: 13.95, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 12.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1233.4908, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.237, scimark_benchmark: 1204.7013, usercpu_time_millis: 11.598, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 10.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9128, kappa: 0.823, kb_relative_information_score: 944.2794, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9146, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5303, scimark_benchmark: 1202.2008, usercpu_time_millis: 8.765, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 8.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 821.185, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5511, scimark_benchmark: 1197.2276, usercpu_time_millis: 1.394, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1167.0964, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3024, scimark_benchmark: 1204.1973, usercpu_time_millis: 2.039, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9141, kappa: 0.8256, kb_relative_information_score: 716.3853, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9173, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6088, scimark_benchmark: 1191.0905, usercpu_time_millis: 12.641, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 11.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0705, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1208.0624, usercpu_time_millis: 8.382, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 6.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0822, 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: 1210.3511, usercpu_time_millis: 6.124, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 5.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1228.8051, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2418, scimark_benchmark: 1205.4943, usercpu_time_millis: 53.004, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 49.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1064.2235, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4039, scimark_benchmark: 1201.3186, usercpu_time_millis: 25.479, usercpu_time_millis_testing: 2.491, usercpu_time_millis_training: 22.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.017, 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: 1195.5378, usercpu_time_millis: 6.374, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 5.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1263.7014, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2218, scimark_benchmark: 1202.0187, usercpu_time_millis: 20.476, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 18.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1327.5648, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1834, scimark_benchmark: 1315.2213, usercpu_time_millis: 34.357, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 32.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1320.8404, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1767, scimark_benchmark: 1314.8927, usercpu_time_millis: 70.431, usercpu_time_millis_testing: 4.296, usercpu_time_millis_training: 66.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1231.4707, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2755, scimark_benchmark: 1314.9513, usercpu_time_millis: 5.24, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 4.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0244, 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: 1316.6494, usercpu_time_millis: 4.337, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 3.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 731.798, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6958, scimark_benchmark: 1308.3654, usercpu_time_millis: 11.852, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 10.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8985, kappa: 0.7941, kb_relative_information_score: 869.6524, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8988, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5532, scimark_benchmark: 1295.0578, usercpu_time_millis: 8.571, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 7.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1212.2371, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.27, scimark_benchmark: 1308.7575, usercpu_time_millis: 44.237, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 40.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1209.173, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.239, scimark_benchmark: 1295.317, usercpu_time_millis: 42.705, usercpu_time_millis_testing: 3.805, usercpu_time_millis_training: 38.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1186.9673, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2609, scimark_benchmark: 1308.571, usercpu_time_millis: 35.152, usercpu_time_millis_testing: 3.575, usercpu_time_millis_training: 31.577,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.059, 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: 1315.4036, usercpu_time_millis: 6.694, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 5.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0642, 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: 1292.6976, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1071.8058, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.3973, scimark_benchmark: 1300.4481, usercpu_time_millis: 11.992, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 11.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1256.6715, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2151, scimark_benchmark: 1313.6036, usercpu_time_millis: 11.065, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 10.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9109, kappa: 0.8192, kb_relative_information_score: 1005.9191, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9112, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5387, scimark_benchmark: 1308.0171, usercpu_time_millis: 37.799, usercpu_time_millis_testing: 3.323, usercpu_time_millis_training: 34.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1245.6453, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2416, scimark_benchmark: 1315.4695, usercpu_time_millis: 13.724, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 12.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1317.1287, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.1797, scimark_benchmark: 1304.924, usercpu_time_millis: 4.27, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 4.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8662, kappa: 0.7299, kb_relative_information_score: 785.1208, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8675, predictive_accuracy: 0.8659, prior_entropy: 0.9912, recall: 0.8659, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6089, scimark_benchmark: 1316.8637, usercpu_time_millis: 12.542, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 11.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9196, kappa: 0.8368, kb_relative_information_score: 943.4414, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9203, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.512, scimark_benchmark: 1300.9135, usercpu_time_millis: 11.637, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 10.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8739, kappa: 0.7445, kb_relative_information_score: 760.978, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8738, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6002, scimark_benchmark: 1317.8228, usercpu_time_millis: 0.624, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1053.5918, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4096, scimark_benchmark: 1300.1443, usercpu_time_millis: 14.483, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 13.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1273.2371, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1804, scimark_benchmark: 1317.8769, usercpu_time_millis: 22.658, usercpu_time_millis_testing: 2.074, usercpu_time_millis_training: 20.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1260.2095, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1909, scimark_benchmark: 1318.701, usercpu_time_millis: 33.119, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 30.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1327.9074, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1523, scimark_benchmark: 1303.0496, usercpu_time_millis: 17.943, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 16.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1311.8236, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1675, scimark_benchmark: 1310.7491, usercpu_time_millis: 8.215, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 7.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8575, kappa: 0.7125, kb_relative_information_score: 659.0009, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8591, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6724, scimark_benchmark: 1321.9274, usercpu_time_millis: 8.02, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 7.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 758.235, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6285, scimark_benchmark: 1304.3675, usercpu_time_millis: 6.14, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 5.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1004.3681, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.521, scimark_benchmark: 1295.9382, usercpu_time_millis: 17.801, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 16.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0256, 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: 1313.0237, usercpu_time_millis: 8.403, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 7.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9194, kappa: 0.8364, kb_relative_information_score: 979.8231, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9213, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5006, scimark_benchmark: 1303.0072, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8916, kappa: 0.7798, kb_relative_information_score: 500.7926, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8985, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7358, scimark_benchmark: 1294.4344, usercpu_time_millis: 3.175, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 2.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1310.16, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1595, scimark_benchmark: 1316.879, usercpu_time_millis: 20.263, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 18.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1160.4834, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2848, scimark_benchmark: 1311.6516, usercpu_time_millis: 28.904, usercpu_time_millis_testing: 2.591, usercpu_time_millis_training: 26.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1259.8275, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.2119, scimark_benchmark: 1297.3256, usercpu_time_millis: 17.59, usercpu_time_millis_testing: 1.904, usercpu_time_millis_training: 15.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1136.8994, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3321, scimark_benchmark: 1297.8242, usercpu_time_millis: 9.545, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 8.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1304.0104, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1641, scimark_benchmark: 1303.8316, usercpu_time_millis: 26.478, usercpu_time_millis_testing: 2.28, usercpu_time_millis_training: 24.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1252.2099, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2041, scimark_benchmark: 1304.6572, usercpu_time_millis: 1.243, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1234.1834, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2716, scimark_benchmark: 1301.1407, usercpu_time_millis: 21.62, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 20.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.943, kappa: 0.8844, kb_relative_information_score: 886.4217, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.502, scimark_benchmark: 1319.2733, usercpu_time_millis: 21.994, usercpu_time_millis_testing: 1.931, usercpu_time_millis_training: 20.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1317.8165, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1493, scimark_benchmark: 1318.9913, usercpu_time_millis: 51.776, usercpu_time_millis_testing: 3.405, usercpu_time_millis_training: 48.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 1093.906, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4102, scimark_benchmark: 1326.362, usercpu_time_millis: 3.726, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 3.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1312.2268, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1568, scimark_benchmark: 1318.2975, usercpu_time_millis: 20.301, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 18.746,

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