OpenML
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 4587 Supervised Classification pendigits 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 1311.7006, usercpu_time_millis: 258870, usercpu_time_millis_testing: 44930, usercpu_time_millis_training: 213940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1327.6367, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9878, kappa: 0.9347, kb_relative_information_score: 98696.9251, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.482, recall: 0.9877, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3419, scimark_benchmark: 1350.8432, usercpu_time_millis: 7950, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 7850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9804, kb_relative_information_score: 100262.4785, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.482, recall: 0.9963, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2066, scimark_benchmark: 1337.3179, usercpu_time_millis: 2040, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9847, kappa: 0.9199, kb_relative_information_score: 95279.7025, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9857, predictive_accuracy: 0.9843, prior_entropy: 0.482, recall: 0.9843, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3633, scimark_benchmark: 1274.7011, usercpu_time_millis: 810, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1347.993, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1347.993, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1347.993, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9878, kappa: 0.9347, kb_relative_information_score: 98696.9251, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.482, recall: 0.9877, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3419, scimark_benchmark: 1297.2338, usercpu_time_millis: 8940, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 8840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1341.5795, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9899, kappa: 0.9455, kb_relative_information_score: 101363.5164, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.482, recall: 0.9899, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3246, scimark_benchmark: 1280.6338, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 938.0414, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 918.0213, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1288.1375, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9978, kappa: 0.988, kb_relative_information_score: 107345.6692, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.482, recall: 0.9978, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1375, scimark_benchmark: 912.7324, usercpu_time_millis: 382180, usercpu_time_millis_testing: 382180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9805, kappa: 0.8963, kb_relative_information_score: 79970.6303, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.482, recall: 0.9803, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4189, scimark_benchmark: 1347.917, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 933.1165, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1380.2233, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1354.3488, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 1343.2125, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 97823.7952, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2497, scimark_benchmark: 1342.6911, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1064.8317, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9839, kappa: 0.9143, kb_relative_information_score: 94537.8705, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.984, predictive_accuracy: 0.9839, prior_entropy: 0.482, recall: 0.9839, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.39, scimark_benchmark: 1334.6745, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9786, kappa: 0.8853, kb_relative_information_score: 82631.7348, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.482, recall: 0.9786, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.4233, scimark_benchmark: 1064.8317, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9974, kappa: 0.9859, kb_relative_information_score: 107274.7672, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.482, recall: 0.9974, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1562, scimark_benchmark: 1339.8573, usercpu_time_millis: 13320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9982, kappa: 0.9903, kb_relative_information_score: 108416.0232, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.482, recall: 0.9982, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1397, scimark_benchmark: 1323.4648, usercpu_time_millis: 6720, usercpu_time_millis_testing: 6720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9805, kappa: 0.8963, kb_relative_information_score: 79970.6303, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.482, recall: 0.9803, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4189, scimark_benchmark: 1314.7093, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9951, kappa: 0.9739, kb_relative_information_score: 98168.5141, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9952, predictive_accuracy: 0.9951, prior_entropy: 0.482, recall: 0.9951, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.2337, scimark_benchmark: 1343.6648, usercpu_time_millis: 9760, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 9530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9938, kappa: 0.9666, kb_relative_information_score: 92397.0974, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.482, recall: 0.9938, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2773, scimark_benchmark: 854.6529, usercpu_time_millis: 7400, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 6500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9938, kappa: 0.9667, kb_relative_information_score: 92382.8012, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.482, recall: 0.9938, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2783, scimark_benchmark: 883.2709, usercpu_time_millis: 4650, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9938, kappa: 0.9668, kb_relative_information_score: 103049.4905, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.482, recall: 0.9938, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2272, scimark_benchmark: 1325.3444, usercpu_time_millis: 775460, usercpu_time_millis_testing: 7070, usercpu_time_millis_training: 768390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9936, kappa: 0.9659, kb_relative_information_score: 92211.3519, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.482, recall: 0.9936, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2815, scimark_benchmark: 1337.5749, usercpu_time_millis: 1570, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9934, kappa: 0.9646, kb_relative_information_score: 92191.4928, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.482, recall: 0.9934, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2848, scimark_benchmark: 1320.9026, usercpu_time_millis: 900, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 820,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9824, kappa: 0.9051, kb_relative_information_score: 96202.6556, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9823, predictive_accuracy: 0.9825, prior_entropy: 0.482, recall: 0.9825, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4334, scimark_benchmark: 1449.4352, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9916, kappa: 0.9552, kb_relative_information_score: 97748.1488, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.482, recall: 0.9916, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.2708, scimark_benchmark: 1325.2092, usercpu_time_millis: 1260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9686, kappa: 0.8312, kb_relative_information_score: 77690.5672, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.482, recall: 0.9686, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4686, scimark_benchmark: 925.4974, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9948, kappa: 0.9721, kb_relative_information_score: 98053.2108, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.482, recall: 0.9948, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2379, scimark_benchmark: 939.449, usercpu_time_millis: 2860, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9944, kappa: 0.9701, kb_relative_information_score: 97937.2605, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.482, recall: 0.9944, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.2422, scimark_benchmark: 1315.395, usercpu_time_millis: 1310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 97823.7952, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2497, scimark_benchmark: 1369.9744, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9796, kappa: 0.8916, kb_relative_information_score: 90910.5795, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9799, predictive_accuracy: 0.9795, prior_entropy: 0.482, recall: 0.9795, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.432, scimark_benchmark: 939.5205, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9925, kappa: 0.9596, kb_relative_information_score: 101366.4915, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.482, recall: 0.9924, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.247, scimark_benchmark: 909.1698, usercpu_time_millis: 6600, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9892, kappa: 0.9424, kb_relative_information_score: 97288.121, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.482, recall: 0.9892, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.2953, scimark_benchmark: 937.1527, usercpu_time_millis: 3220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9836, kappa: 0.9128, kb_relative_information_score: 91154.5815, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9838, predictive_accuracy: 0.9835, prior_entropy: 0.482, recall: 0.9835, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3635, scimark_benchmark: 916.6405, usercpu_time_millis: 1680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9742, kappa: 0.8637, kb_relative_information_score: 82547.9608, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9749, predictive_accuracy: 0.9737, prior_entropy: 0.482, recall: 0.9737, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4541, scimark_benchmark: 930.5999, usercpu_time_millis: 860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9686, kappa: 0.8369, kb_relative_information_score: 74568.7425, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9706, predictive_accuracy: 0.9675, prior_entropy: 0.482, recall: 0.9675, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5021, scimark_benchmark: 943.1756, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9984, kappa: 0.9912, kb_relative_information_score: 107484.0119, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 0.482, recall: 0.9984, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1239, scimark_benchmark: 937.1527, usercpu_time_millis: 12640, usercpu_time_millis_testing: 12640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.9919, kb_relative_information_score: 108049.965, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.482, recall: 0.9985, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.1168, scimark_benchmark: 1363.454, usercpu_time_millis: 11680, usercpu_time_millis_testing: 11670, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9892, kappa: 0.9416, kb_relative_information_score: 101434.9154, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.482, recall: 0.9892, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3405, scimark_benchmark: 1442.7264, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9784, kappa: 0.8879, kb_relative_information_score: 92510.9661, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.98, predictive_accuracy: 0.9778, prior_entropy: 0.482, recall: 0.9778, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4884, scimark_benchmark: 880.8372, usercpu_time_millis: 43060, usercpu_time_millis_testing: 3530, usercpu_time_millis_training: 39530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 104942.0204, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.2602, scimark_benchmark: 1287.514, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9939, kappa: 0.9672, kb_relative_information_score: 101301.2017, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.482, recall: 0.9939, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.2345, scimark_benchmark: 918.6005, usercpu_time_millis: 4020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9824, kappa: 0.9051, kb_relative_information_score: 96202.6556, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9823, predictive_accuracy: 0.9825, prior_entropy: 0.482, recall: 0.9825, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4334, scimark_benchmark: 923.988, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9804, kb_relative_information_score: 100262.4785, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.482, recall: 0.9963, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2066, scimark_benchmark: 1316.0472, usercpu_time_millis: 2470, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9876, kappa: 0.9334, kb_relative_information_score: 100164.1223, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.482, recall: 0.9876, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3652, scimark_benchmark: 1307.4861, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9868, kappa: 0.9296, kb_relative_information_score: 97686.9578, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9869, predictive_accuracy: 0.9868, prior_entropy: 0.482, recall: 0.9868, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3545, scimark_benchmark: 1361.1055, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9881, kappa: 0.9363, kb_relative_information_score: 99301.1079, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.482, recall: 0.9881, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3476, scimark_benchmark: 1308.9788, usercpu_time_millis: 1140, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9803, kappa: 0.8923, kb_relative_information_score: 94853.7691, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9804, predictive_accuracy: 0.9808, prior_entropy: 0.482, recall: 0.9808, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4543, scimark_benchmark: 1336.2976, usercpu_time_millis: 3050, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.2295, kappa: 0.0278, kb_relative_information_score: -498422.0247, mean_absolute_error: 0.7795, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8987, predictive_accuracy: 0.2205, prior_entropy: 0.482, recall: 0.2205, relative_absolute_error: 4.1786, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.8829, root_relative_squared_error: 2.8913, scimark_benchmark: 1359.379, usercpu_time_millis: 79650, usercpu_time_millis_testing: 11830, usercpu_time_millis_training: 67820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9914, kappa: 0.9537, kb_relative_information_score: 102794.3423, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 0.482, recall: 0.9914, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3008, scimark_benchmark: 1330.0803, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9892, kappa: 0.9421, kb_relative_information_score: 101420.7166, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.482, recall: 0.9892, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3407, scimark_benchmark: 1392.1129, usercpu_time_millis: 580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.8467, kb_relative_information_score: -63.7203, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3054, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9894, kappa: 0.9434, kb_relative_information_score: 101013.0699, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.482, recall: 0.9894, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3307, scimark_benchmark: 1466.6185, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9894, kappa: 0.9434, kb_relative_information_score: 101013.0699, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.482, recall: 0.9894, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3307, scimark_benchmark: 1445.6675, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs