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Function: require_once

OpenML
OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16668 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16668 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 4.009, build_memory: 886019113.7752, f_measure: 0.9901, kappa: 0.9124, kb_relative_information_score: 3302.4382, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.99, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.4092, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 8.2345, build_memory: 538555548.6214, f_measure: 0.9906, kappa: 0.9175, kb_relative_information_score: 3335.473, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3988, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 17.6402, build_memory: 691966722.0764, f_measure: 0.9903, kappa: 0.9149, kb_relative_information_score: 3324.7071, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.404, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 3.3637, build_memory: 1281171346.912, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 3.2551, build_memory: 680205683.5122, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, build_cpu_time: 0.7267, build_memory: 113656193.4168, f_measure: 0.9739, kappa: 0.7713, kb_relative_information_score: 2272.0696, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9737, predictive_accuracy: 0.974, prior_entropy: 0.3333, recall: 0.974, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.5971, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 1.3703, build_memory: 442451318.6532, f_measure: 0.9741, kappa: 0.7731, kb_relative_information_score: 2340.5692, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9739, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.5856, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, build_cpu_time: 35.5251, build_memory: 2184786597.6331, f_measure: 0.9898, kappa: 0.9098, kb_relative_information_score: 3292.6373, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9897, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.4178, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, build_cpu_time: 19.0506, build_memory: 1179425026.6511, f_measure: 0.9897, kappa: 0.9083, kb_relative_information_score: 3288.6248, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.099, root_relative_squared_error: 0.413, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, build_cpu_time: 9.4493, build_memory: 1553482321.7243, f_measure: 0.9884, kappa: 0.8978, kb_relative_information_score: 3219.032, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.4319, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 1.7932, build_memory: 987079801.3659, f_measure: 0.9877, kappa: 0.8917, kb_relative_information_score: 3166.5173, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.4203, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, build_cpu_time: 0.0161, build_memory: 700181670.9077, f_measure: 0.9733, kappa: 0.7704, kb_relative_information_score: 1735.121, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9737, predictive_accuracy: 0.973, prior_entropy: 0.3333, recall: 0.973, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.635, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.8034, build_memory: 542092832.3118, f_measure: 0.9815, kappa: 0.8323, kb_relative_information_score: 2464.4355, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4652, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 0.237, build_memory: 967709512.1442, f_measure: 0.984, kappa: 0.8619, kb_relative_information_score: 2941.645, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.4885, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 0.0006, build_memory: 789376259.491, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 3.7515, build_memory: 406668792.5854, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.5048, build_memory: 318836804.1082, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, build_cpu_time: 0.4641, build_memory: 386892338.7635, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 0.2281, build_memory: 1014696552.1124, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 0.3933, build_memory: 1069488695.8749, f_measure: 0.9875, kappa: 0.8885, kb_relative_information_score: 2877.9457, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9875, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.4081, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.1151, build_memory: 197607336.5005, f_measure: 0.9703, kappa: 0.7418, kb_relative_information_score: 2106.1917, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6151, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.1646, build_memory: 359264005.5949, f_measure: 0.9703, kappa: 0.7418, kb_relative_information_score: 2106.1917, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6151, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.1547, build_memory: 551911260.1103, f_measure: 0.9703, kappa: 0.7418, kb_relative_information_score: 2106.1917, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6151, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, build_cpu_time: 0.0151, build_memory: 177447993.0774, f_measure: 0.9646, kappa: 0.7034, kb_relative_information_score: 2057.5176, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9664, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7977, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, build_cpu_time: 0.0008, build_memory: 1065916038.0276, f_measure: 0.9091, kb_relative_information_score: -10.937, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, build_cpu_time: 5.3707, build_memory: 530634204.1633, f_measure: 0.9389, kappa: 0.3792, kb_relative_information_score: 1695.0497, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9432, predictive_accuracy: 0.9504, prior_entropy: 0.3333, recall: 0.9504, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.8501, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, build_cpu_time: 4.3147, build_memory: 450670451.6267, f_measure: 0.9091, kb_relative_information_score: 1023.7143, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2411, root_relative_squared_error: 1.0054, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, build_cpu_time: 8.6461, build_memory: 590347859.7646, f_measure: 0.9098, kappa: 0.0081, kb_relative_information_score: 1024.5713, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9427, predictive_accuracy: 0.939, prior_entropy: 0.3333, recall: 0.939, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.0012, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, build_cpu_time: 8.049, build_memory: 856928909.807, f_measure: 0.9098, kappa: 0.0081, kb_relative_information_score: 1024.5713, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9427, predictive_accuracy: 0.939, prior_entropy: 0.3333, recall: 0.939, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.0012, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, build_cpu_time: 17.5222, build_memory: 69832272.2185, f_measure: 0.9103, kappa: 0.0155, kb_relative_information_score: 1046.5092, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9225, predictive_accuracy: 0.939, prior_entropy: 0.3333, recall: 0.939, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.9943, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, build_cpu_time: 29.8091, build_memory: 866278431.9958, f_measure: 0.909, kappa: -0.0005, kb_relative_information_score: 1058.2301, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.238, root_relative_squared_error: 0.9925, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, build_cpu_time: 80.9648, build_memory: 932477725.6501, f_measure: 0.9096, kappa: 0.0075, kb_relative_information_score: 1072.3446, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9121, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.9896, scimark_benchmark: 945.7067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 5.9264, build_memory: 599938237.2937, f_measure: 0.989, kappa: 0.9025, kb_relative_information_score: 3015.2012, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3689, scimark_benchmark: 947.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 3.0751, build_memory: 553016735.3871, f_measure: 0.9887, kappa: 0.9003, kb_relative_information_score: 3017.9565, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.3722, scimark_benchmark: 939.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 1.8409, build_memory: 1504281597.2937, f_measure: 0.9871, kappa: 0.8861, kb_relative_information_score: 3005.9072, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.375, scimark_benchmark: 932.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.8036, build_memory: 64567680.2694, f_measure: 0.9863, kappa: 0.8787, kb_relative_information_score: 3006.421, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.385, scimark_benchmark: 947.8634,

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