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OpenML
Task
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 3882 Supervised Classification pendigits 459 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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459 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9985, kappa: 0.9917, kb_relative_information_score: 10794.2387, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.482, recall: 0.9985, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0375, root_relative_squared_error: 0.1228, scimark_benchmark: 854.5188, usercpu_time_millis: 13410, usercpu_time_millis_testing: 13410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9888, kappa: 0.9396, kb_relative_information_score: 10113.6741, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.482, recall: 0.9888, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3464, scimark_benchmark: 930.5999, usercpu_time_millis: 800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9782, kappa: 0.8869, kb_relative_information_score: 9233.3481, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9799, predictive_accuracy: 0.9775, prior_entropy: 0.482, recall: 0.9775, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4909, scimark_benchmark: 1336.3256, usercpu_time_millis: 35160, usercpu_time_millis_testing: 3870, usercpu_time_millis_training: 31290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9937, kappa: 0.9665, kb_relative_information_score: 10497.0418, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.2595, scimark_benchmark: 1287.514, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9854, kb_relative_information_score: 10420.0572, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.482, recall: 0.9973, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1656, scimark_benchmark: 889.3151, usercpu_time_millis: 2542500, usercpu_time_millis_testing: 23390, usercpu_time_millis_training: 2519110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9936, kappa: 0.9659, kb_relative_information_score: 10109.2649, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.482, recall: 0.9936, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2371, scimark_benchmark: 1304.9611, usercpu_time_millis: 3640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9763, kappa: 0.8698, kb_relative_information_score: 9183.6523, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9764, predictive_accuracy: 0.9769, prior_entropy: 0.482, recall: 0.9769, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4978, scimark_benchmark: 938.9967, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 2865.1838, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, 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: 1355.9413, usercpu_time_millis: 299770, usercpu_time_millis_testing: 43020, usercpu_time_millis_training: 256750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9696, kappa: 0.844, kb_relative_information_score: 8371.4058, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9726, predictive_accuracy: 0.9683, prior_entropy: 0.482, recall: 0.9683, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.171, root_relative_squared_error: 0.56, scimark_benchmark: 1350.9691, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9961, kappa: 0.9791, kb_relative_information_score: 10019.8829, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.482, recall: 0.9961, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2097, scimark_benchmark: 1331.6907, usercpu_time_millis: 2310, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9874, kappa: 0.9324, kb_relative_information_score: 10000.0836, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.482, recall: 0.9874, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3683, scimark_benchmark: 1315.3881, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9879, kappa: 0.9351, kb_relative_information_score: 9851.1325, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.482, recall: 0.9878, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.3388, scimark_benchmark: 1066.7184, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9883, kappa: 0.9374, kb_relative_information_score: 9951.3974, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.482, recall: 0.9883, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3448, scimark_benchmark: 1309.3173, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.984, kappa: 0.9129, kb_relative_information_score: 9758.7039, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.984, predictive_accuracy: 0.9843, prior_entropy: 0.482, recall: 0.9843, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4108, scimark_benchmark: 1359.379, usercpu_time_millis: 2730, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.2278, kappa: 0.0266, kb_relative_information_score: -49947.2736, mean_absolute_error: 0.7808, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.8956, predictive_accuracy: 0.2192, prior_entropy: 0.482, recall: 0.2192, relative_absolute_error: 4.1858, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.8837, root_relative_squared_error: 2.8938, scimark_benchmark: 1442.7264, usercpu_time_millis: 125910, usercpu_time_millis_testing: 19500, usercpu_time_millis_training: 106410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9912, kappa: 0.9527, kb_relative_information_score: 10266.9921, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.482, recall: 0.9912, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3038, scimark_benchmark: 1392.1129, 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: 2865.1838, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, 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: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9885, kappa: 0.9385, kb_relative_information_score: 10092.3758, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.482, recall: 0.9885, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3506, scimark_benchmark: 1353.5686, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.8467, kb_relative_information_score: -6.372, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, 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: 1358.4955, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9899, kappa: 0.946, kb_relative_information_score: 10142.1989, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.482, recall: 0.9899, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.3255, scimark_benchmark: 1605.6303, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9734, kappa: 0.8622, kb_relative_information_score: 8772.2127, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9755, predictive_accuracy: 0.9724, prior_entropy: 0.482, recall: 0.9724, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5413, scimark_benchmark: 931.2336, usercpu_time_millis: 2500, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9731, kappa: 0.8612, kb_relative_information_score: 8216.6157, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9754, predictive_accuracy: 0.9722, prior_entropy: 0.482, recall: 0.9722, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.5375, scimark_benchmark: 938.2848, usercpu_time_millis: 1220, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9731, kappa: 0.8612, kb_relative_information_score: 8216.6157, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9754, predictive_accuracy: 0.9722, prior_entropy: 0.482, recall: 0.9722, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.5375, scimark_benchmark: 941.7954, usercpu_time_millis: 1220, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9731, kappa: 0.8612, kb_relative_information_score: 8216.6157, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9754, predictive_accuracy: 0.9722, prior_entropy: 0.482, recall: 0.9722, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.5375, scimark_benchmark: 945.6434, usercpu_time_millis: 1210, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9731, kappa: 0.8612, kb_relative_information_score: 8216.6157, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9754, predictive_accuracy: 0.9722, prior_entropy: 0.482, recall: 0.9722, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.5375, scimark_benchmark: 934.5243, usercpu_time_millis: 1410, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9878, kappa: 0.934, kb_relative_information_score: 9960.9345, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.482, recall: 0.9879, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.3345, scimark_benchmark: 911.3823, usercpu_time_millis: 7630, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9821, kappa: 0.9047, kb_relative_information_score: 9387.262, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 0.482, recall: 0.982, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.4087, scimark_benchmark: 943.2817, usercpu_time_millis: 3490, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9636, kappa: 0.7953, kb_relative_information_score: 8301.3247, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9646, predictive_accuracy: 0.9655, prior_entropy: 0.482, recall: 0.9655, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5466, scimark_benchmark: 911.3823, usercpu_time_millis: 1690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.964, kappa: 0.8154, kb_relative_information_score: 6778.3781, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9672, predictive_accuracy: 0.9625, prior_entropy: 0.482, recall: 0.9625, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6212, scimark_benchmark: 922.9039, usercpu_time_millis: 830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9503, kappa: 0.7552, kb_relative_information_score: 6323.3254, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9592, predictive_accuracy: 0.9466, prior_entropy: 0.482, recall: 0.9466, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6463, scimark_benchmark: 938.4285, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 20.3052, build_memory: 695256819.4105, f_measure: 0.9948, kappa: 0.9722, kb_relative_information_score: 10007.3346, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.482, recall: 0.9948, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2294, scimark_benchmark: 940.3044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 20.1922, build_memory: 85641550.0932, f_measure: 0.9948, kappa: 0.9722, kb_relative_information_score: 10007.3346, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.482, recall: 0.9948, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2294, scimark_benchmark: 945.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 9.8942, build_memory: 88773050.1288, f_measure: 0.9944, kappa: 0.9698, kb_relative_information_score: 9993.9141, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.482, recall: 0.9944, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2324, scimark_benchmark: 945.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 6.0623, build_memory: 1127586805.6427, f_measure: 0.9941, kappa: 0.9684, kb_relative_information_score: 9986.4397, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.482, recall: 0.9941, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.2338, scimark_benchmark: 911.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 2.5453, build_memory: 681837763.1587, f_measure: 0.9939, kappa: 0.9675, kb_relative_information_score: 10001.2399, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.482, recall: 0.9939, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.236, scimark_benchmark: 948.7615,

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