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: 0.9696, f_measure: 0.9007, kappa: 0.7986, kb_relative_information_score: 994.2249, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9009, predictive_accuracy: 0.9009, prior_entropy: 0.9912, recall: 0.9009, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5311, scimark_benchmark: 1299.4892, usercpu_time_millis: 6.008, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 5.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1273.0652, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9829, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2567, scimark_benchmark: 1335.6434, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.1355, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0451, scimark_benchmark: 1319.2381, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.8531, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0076, root_relative_squared_error: 0.0153, scimark_benchmark: 1300.4539, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9788, kappa: 0.957, kb_relative_information_score: 1202.1, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2949, scimark_benchmark: 1328.6237, usercpu_time_millis: 0.907, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9788, kappa: 0.957, kb_relative_information_score: 1200.2496, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2969, scimark_benchmark: 1304.1862, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8974, kappa: 0.7927, kb_relative_information_score: 1003.7749, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8981, predictive_accuracy: 0.8972, prior_entropy: 0.9912, recall: 0.8972, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5306, scimark_benchmark: 1298.2487, usercpu_time_millis: 1.636, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9513, kappa: 0.902, kb_relative_information_score: 1194.8313, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9547, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4141, scimark_benchmark: 1331.2928, usercpu_time_millis: 4.88, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9186, kappa: 0.8377, kb_relative_information_score: 984.0785, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.931, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5092, scimark_benchmark: 1294.7504, usercpu_time_millis: 1.615, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7735, kappa: 0.5406, kb_relative_information_score: 401.0969, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7826, predictive_accuracy: 0.7777, prior_entropy: 0.9912, recall: 0.7777, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8488, scimark_benchmark: 1291.8268, usercpu_time_millis: 2.282, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1365.4193, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.011, root_relative_squared_error: 0.0222, scimark_benchmark: 1311.8369, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 1252.9145, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9645, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3022, scimark_benchmark: 1304.2853, usercpu_time_millis: 1.779, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8676, kappa: 0.7366, kb_relative_information_score: 853.8838, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8812, predictive_accuracy: 0.8673, prior_entropy: 0.9912, recall: 0.8673, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5877, scimark_benchmark: 1308.5801, usercpu_time_millis: 5.978, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 5.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1318.2523, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9856, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1922, scimark_benchmark: 1329.7962, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1317.8684, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1944, scimark_benchmark: 1332.7568, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8437, kappa: 0.6882, kb_relative_information_score: 855.104, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8544, predictive_accuracy: 0.8433, prior_entropy: 0.9912, recall: 0.8433, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6659, scimark_benchmark: 1297.7208, usercpu_time_millis: 4.682, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 4.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8232, kappa: 0.6529, kb_relative_information_score: 736.3341, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8511, predictive_accuracy: 0.8236, prior_entropy: 0.9912, recall: 0.8236, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6546, scimark_benchmark: 1335.3984, usercpu_time_millis: 6.976, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 6.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9251, kappa: 0.8492, kb_relative_information_score: 943.1542, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5478, scimark_benchmark: 1330.8561, usercpu_time_millis: 1.792, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1337.5044, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.116, scimark_benchmark: 1333.8794, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1357.6383, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0311, root_relative_squared_error: 0.0626, scimark_benchmark: 1323.4932, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1316.714, mean_absolute_error: 0.022, 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: 0.0445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1831, scimark_benchmark: 1290.5103, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 2.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.2254, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0217, scimark_benchmark: 1290.8531, usercpu_time_millis: 3.322, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 3.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9884, kappa: 0.9764, kb_relative_information_score: 1327.0389, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9886, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.1959, scimark_benchmark: 1290.3155, usercpu_time_millis: 5.153, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 5.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1325.6364, mean_absolute_error: 0.0184, 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: 0.0373, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1754, scimark_benchmark: 1321.2653, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.912, kappa: 0.8222, kb_relative_information_score: 814.7961, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9128, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6086, scimark_benchmark: 1298.0431, usercpu_time_millis: 1.857, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 1336.478, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9912, recall: 0.9956, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1263, scimark_benchmark: 1326.1372, usercpu_time_millis: 6.702, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 6.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9737, kappa: 0.9466, kb_relative_information_score: 1162.2835, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9748, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3345, scimark_benchmark: 1344.841, usercpu_time_millis: 0.824, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 1227.3329, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.333, scimark_benchmark: 1282.1815, usercpu_time_millis: 3.588, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9795, kappa: 0.9585, kb_relative_information_score: 1219.0281, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2788, scimark_benchmark: 1299.969, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 427.2626, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1325.295, usercpu_time_millis: 26.521, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 26.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1316.7312, mean_absolute_error: 0.0231, 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: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1768, scimark_benchmark: 1330.1811, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8619, kappa: 0.7241, kb_relative_information_score: 908.3184, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8714, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6337, scimark_benchmark: 1330.9987, usercpu_time_millis: 4.513, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 4.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.7033, mean_absolute_error: 0.0203, 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: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1794, scimark_benchmark: 1303.5141, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7606, kappa: 0.5146, kb_relative_information_score: 378.1722, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7701, predictive_accuracy: 0.7653, prior_entropy: 0.9912, recall: 0.7653, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.859, scimark_benchmark: 1305.1835, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1316.8286, mean_absolute_error: 0.0219, 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: 0.0444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1831, scimark_benchmark: 1295.3412, usercpu_time_millis: 2.42, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 2.402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1327.0933, mean_absolute_error: 0.019, 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: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1496, scimark_benchmark: 1336.6205, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.5141, mean_absolute_error: 0.0199, 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: 0.0402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1712, scimark_benchmark: 1310.907, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.971, mean_absolute_error: 0.0193, 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: 0.039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.186, scimark_benchmark: 1335.6084, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7884, kappa: 0.5708, kb_relative_information_score: 425.5299, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.798, predictive_accuracy: 0.7923, prior_entropy: 0.9912, recall: 0.7923, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8373, scimark_benchmark: 1301.6474, usercpu_time_millis: 4.463, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 4.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9548, kappa: 0.9086, kb_relative_information_score: 1217.6676, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9549, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3454, scimark_benchmark: 1334.3822, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1326.1926, mean_absolute_error: 0.0183, 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: 0.037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.1683, scimark_benchmark: 1331.5413, usercpu_time_millis: 0.906, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8529, kappa: 0.7014, kb_relative_information_score: 800.6815, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6504, scimark_benchmark: 1326.1267, usercpu_time_millis: 3.036, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.5837, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0152, scimark_benchmark: 1300.3969, usercpu_time_millis: 0.431, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8924, kappa: 0.7828, kb_relative_information_score: 1003.1411, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8937, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5328, scimark_benchmark: 1312.1788, usercpu_time_millis: 4.399, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 4.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8801, kappa: 0.7566, kb_relative_information_score: 928.7243, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8808, predictive_accuracy: 0.8805, prior_entropy: 0.9912, recall: 0.8805, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5745, scimark_benchmark: 1334.2365, usercpu_time_millis: 11.038, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 11.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8603, kappa: 0.7165, kb_relative_information_score: 847.2078, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8609, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6274, scimark_benchmark: 1332.4088, usercpu_time_millis: 3.062, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 3.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1274.7456, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2737, scimark_benchmark: 1327.7725, usercpu_time_millis: 1.53, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9782, kappa: 0.9558, kb_relative_information_score: 1296.8823, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9783, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2365, scimark_benchmark: 1334.3081, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.8959, mean_absolute_error: 0.0189, 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: 0.0383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1821, scimark_benchmark: 1333.9661, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8313, kappa: 0.6638, kb_relative_information_score: 621.7234, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8428, predictive_accuracy: 0.8309, prior_entropy: 0.9912, recall: 0.8309, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467, scimark_benchmark: 1307.8016, usercpu_time_millis: 2.049, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.3613, mean_absolute_error: 0.0204, 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: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.18, scimark_benchmark: 1309.3336, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1317.098, mean_absolute_error: 0.0218, 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: 0.0441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.1829, scimark_benchmark: 1331.1606, usercpu_time_millis: 2.756, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9395, kappa: 0.8776, kb_relative_information_score: 1175.7296, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3877, scimark_benchmark: 1334.4803, usercpu_time_millis: 1.768, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1293.957, mean_absolute_error: 0.0318, 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: 0.0643, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.2207, scimark_benchmark: 1315.8666, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1364.4386, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0114, root_relative_squared_error: 0.023, scimark_benchmark: 1297.1751, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1301.5632, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2075, scimark_benchmark: 1336.2454, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1357.8853, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0306, root_relative_squared_error: 0.0615, scimark_benchmark: 1303.6525, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.3475, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0176, root_relative_squared_error: 0.0354, scimark_benchmark: 1326.1242, usercpu_time_millis: 6.836, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 6.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1303.9169, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2228, scimark_benchmark: 1301.0596, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7586, kappa: 0.5103, kb_relative_information_score: 365.9882, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7674, predictive_accuracy: 0.7631, prior_entropy: 0.9912, recall: 0.7631, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8656, scimark_benchmark: 1336.5552, usercpu_time_millis: 2.423, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.3792, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0217, root_relative_squared_error: 0.0437, scimark_benchmark: 1304.9073, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9317, kappa: 0.8634, kb_relative_information_score: 1014.5324, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9406, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4844, scimark_benchmark: 1302.3259, usercpu_time_millis: 1.61, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1288.66, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.2305, scimark_benchmark: 1313.6723, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.635, kappa: 0.268, kb_relative_information_score: 230.5695, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6558, predictive_accuracy: 0.6516, prior_entropy: 0.9912, recall: 0.6516, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9208, scimark_benchmark: 1311.4412, usercpu_time_millis: 2.217, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.5299, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0114, root_relative_squared_error: 0.0229, scimark_benchmark: 1300.0975, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.9487, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.053, scimark_benchmark: 1301.5761, usercpu_time_millis: 1.083, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.2434, mean_absolute_error: 0.0205, 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: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1805, scimark_benchmark: 1310.8321, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8859, kappa: 0.7686, kb_relative_information_score: 951.023, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8866, predictive_accuracy: 0.8863, prior_entropy: 0.9912, recall: 0.8863, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5575, scimark_benchmark: 1317.5777, usercpu_time_millis: 9.524, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 9.499,

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