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OpenML
OpenML
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 5 Supervised Classification arrhythmia 3391 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_73 under100k under1m
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3391 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, build_cpu_time: 63.3441, build_memory: 415260131.6106, f_measure: 0.7232, kappa: 0.6079, kb_relative_information_score: 253.3588, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.7209, predictive_accuracy: 0.75, prior_entropy: 2.5222, recall: 0.75, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.8598, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, build_cpu_time: 0.5082, build_memory: 75729443.7699, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, build_cpu_time: 0.6898, build_memory: 99472825.3451, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, build_cpu_time: 0.0931, build_memory: 42633568.4248, f_measure: 0.4406, kappa: 0.1856, kb_relative_information_score: -31.9833, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.3814, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 1.2618, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2309, root_relative_squared_error: 1.1235, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, build_cpu_time: 19.6249, build_memory: 2376405387.3274, f_measure: 0.6998, kappa: 0.5724, kb_relative_information_score: 244.3223, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6767, predictive_accuracy: 0.7345, prior_entropy: 2.5222, recall: 0.7345, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.852, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, build_cpu_time: 10.0884, build_memory: 1515615169.6814, f_measure: 0.6701, kappa: 0.519, kb_relative_information_score: 230.5844, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6494, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.8519, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 0.2997, build_memory: 1016367458.3009, f_measure: 0.6968, kappa: 0.576, kb_relative_information_score: 247.5346, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6792, predictive_accuracy: 0.7301, prior_entropy: 2.5222, recall: 0.7301, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.8432, scimark_benchmark: 928.1083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.904, build_memory: 857809395.1327, f_measure: 0.6948, kappa: 0.5645, kb_relative_information_score: 206.3259, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.673, predictive_accuracy: 0.7212, prior_entropy: 2.5222, recall: 0.7212, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.8475, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, build_cpu_time: 0.0002, build_memory: 324867787.9115, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, build_cpu_time: 274.6573, build_memory: 879681149.823, f_measure: 0.5237, kappa: 0.2882, kb_relative_information_score: 128.3373, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.519, predictive_accuracy: 0.531, prior_entropy: 2.5222, recall: 0.531, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2372, root_relative_squared_error: 1.1543, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, build_cpu_time: 0.6979, build_memory: 408432325.5221, f_measure: 0.3811, kb_relative_information_score: -20.3702, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.2929, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2318, root_relative_squared_error: 1.128, scimark_benchmark: 937.4673,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.3158, build_memory: 36411553.9823, f_measure: 0.6165, kappa: 0.4395, kb_relative_information_score: 180.8273, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6003, predictive_accuracy: 0.635, prior_entropy: 2.5222, recall: 0.635, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9902, scimark_benchmark: 946.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, build_cpu_time: 0.005, build_memory: 28998114.7257, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 944.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, build_cpu_time: 0.001, build_memory: 28926934.8142, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 947.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.6781, kappa: 0.5284, kb_relative_information_score: 224.1345, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.681, predictive_accuracy: 0.6925, prior_entropy: 2.5222, recall: 0.6925, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.921, scimark_benchmark: 897.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.6732, kappa: 0.5336, kb_relative_information_score: 197.6689, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6571, predictive_accuracy: 0.7013, prior_entropy: 2.5222, recall: 0.7013, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.8513, scimark_benchmark: 942.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.6134, kappa: 0.4184, kb_relative_information_score: 182.7272, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.661, predictive_accuracy: 0.6792, prior_entropy: 2.5222, recall: 0.6792, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.8447, scimark_benchmark: 595.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.6525, kappa: 0.4937, kb_relative_information_score: 124.1518, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6526, predictive_accuracy: 0.6571, prior_entropy: 2.5222, recall: 0.6571, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9126, scimark_benchmark: 596.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.6546, kappa: 0.4954, kb_relative_information_score: 218.2916, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6399, predictive_accuracy: 0.677, prior_entropy: 2.5222, recall: 0.677, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.8994, scimark_benchmark: 592.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.6392, kappa: 0.4988, kb_relative_information_score: 176.5789, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6026, predictive_accuracy: 0.6925, prior_entropy: 2.5222, recall: 0.6925, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.8436, scimark_benchmark: 947.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.5985, kappa: 0.404, kb_relative_information_score: 169.3447, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6054, predictive_accuracy: 0.6726, prior_entropy: 2.5222, recall: 0.6726, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.8376, scimark_benchmark: 596.899,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.546, kappa: 0.3141, kb_relative_information_score: 144.3058, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5516, predictive_accuracy: 0.5487, prior_entropy: 2.5222, recall: 0.5487, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.237, root_relative_squared_error: 1.1531, scimark_benchmark: 894.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.5447, kappa: 0.3119, kb_relative_information_score: 144.2247, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5498, predictive_accuracy: 0.5487, prior_entropy: 2.5222, recall: 0.5487, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2374, root_relative_squared_error: 1.1554, scimark_benchmark: 844.6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6165, kappa: 0.4395, kb_relative_information_score: 180.8273, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6003, predictive_accuracy: 0.635, prior_entropy: 2.5222, recall: 0.635, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.9902, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.3811, kb_relative_information_score: 0.0614, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.2938, predictive_accuracy: 0.542, prior_entropy: 2.5222, recall: 0.542, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2056, root_relative_squared_error: 1.0003, scimark_benchmark: 1913.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.6605, kappa: 0.5126, kb_relative_information_score: 107.3051, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6341, predictive_accuracy: 0.6947, prior_entropy: 2.5222, recall: 0.6947, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9045, scimark_benchmark: 946.3942,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6951, kappa: 0.5641, kb_relative_information_score: 243.9963, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6761, predictive_accuracy: 0.7235, prior_entropy: 2.5222, recall: 0.7235, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.8713, scimark_benchmark: 918.2579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5053, kappa: 0.2468, kb_relative_information_score: 122.5407, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5076, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1539, scimark_benchmark: 937.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.5298, kappa: 0.2865, kb_relative_information_score: -18.5135, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5479, predictive_accuracy: 0.604, prior_entropy: 2.5222, recall: 0.604, relative_absolute_error: 1.236, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0878, scimark_benchmark: 937.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.4475, kappa: 0.129, kb_relative_information_score: -26.2897, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.417, predictive_accuracy: 0.5398, prior_entropy: 2.5222, recall: 0.5398, relative_absolute_error: 1.2484, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2254, root_relative_squared_error: 1.0969, scimark_benchmark: 933.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.5484, kappa: 0.3196, kb_relative_information_score: 147.3106, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5546, predictive_accuracy: 0.5509, prior_entropy: 2.5222, recall: 0.5509, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2361, root_relative_squared_error: 1.149, scimark_benchmark: 943.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.4965, kappa: 0.2297, kb_relative_information_score: 138.2801, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4972, predictive_accuracy: 0.5332, prior_entropy: 2.5222, recall: 0.5332, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2075, root_relative_squared_error: 1.0099, scimark_benchmark: 944.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7225, kappa: 0.615, kb_relative_information_score: 243.1718, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6989, predictive_accuracy: 0.7566, prior_entropy: 2.5222, recall: 0.7566, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.7393, scimark_benchmark: 924.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.6641, kappa: 0.5025, kb_relative_information_score: 221.5403, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6584, predictive_accuracy: 0.6969, prior_entropy: 2.5222, recall: 0.6969, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.9236, scimark_benchmark: 936.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5748, kappa: 0.3466, kb_relative_information_score: 174.6235, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.5859, predictive_accuracy: 0.6482, prior_entropy: 2.5222, recall: 0.6482, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2068, root_relative_squared_error: 1.0066, scimark_benchmark: 918.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.6546, kappa: 0.4954, kb_relative_information_score: 218.2916, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6399, predictive_accuracy: 0.677, prior_entropy: 2.5222, recall: 0.677, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.8994, scimark_benchmark: 935.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.4111, kappa: 0.0516, kb_relative_information_score: 147.9153, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.4524, predictive_accuracy: 0.5531, prior_entropy: 2.5222, recall: 0.5531, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.9777, scimark_benchmark: 917.5745,

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