OpenML
Supervised Classification on strikes

Supervised Classification on strikes

Task 3636 Supervised Classification strikes 567 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, build_cpu_time: 0.007, build_memory: 31026984.64, f_measure: 0.6064, kappa: 0.2339, kb_relative_information_score: 93.6667, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6302, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.958, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, build_cpu_time: 0.0816, build_memory: 232837956.352, f_measure: 0.7159, kappa: 0.436, kb_relative_information_score: 272.9675, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.7253, predictive_accuracy: 0.7184, prior_entropy: 1, recall: 0.7184, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.0614, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, build_cpu_time: 0.0818, build_memory: 774001626.1248, f_measure: 0.7159, kappa: 0.436, kb_relative_information_score: 272.9675, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.7253, predictive_accuracy: 0.7184, prior_entropy: 1, recall: 0.7184, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.0614, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, build_cpu_time: 0.2896, build_memory: 274093420.5952, f_measure: 0.6339, kappa: 0.2711, kb_relative_information_score: 176.6691, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6378, predictive_accuracy: 0.6352, prior_entropy: 1, recall: 0.6352, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0702, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, build_cpu_time: 0.2891, build_memory: 236429789.504, f_measure: 0.6339, kappa: 0.2711, kb_relative_information_score: 176.6691, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6378, predictive_accuracy: 0.6352, prior_entropy: 1, recall: 0.6352, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0702, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, build_cpu_time: 0.2865, build_memory: 393083717.824, f_measure: 0.6339, kappa: 0.2711, kb_relative_information_score: 176.6691, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6378, predictive_accuracy: 0.6352, prior_entropy: 1, recall: 0.6352, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0702, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, build_cpu_time: 0.2875, build_memory: 379007170.5728, f_measure: 0.6339, kappa: 0.2711, kb_relative_information_score: 176.6691, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6378, predictive_accuracy: 0.6352, prior_entropy: 1, recall: 0.6352, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0702, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.1086, build_memory: 286105699.9936, f_measure: 0.6119, kappa: 0.2298, kb_relative_information_score: 142.7666, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6183, predictive_accuracy: 0.6144, prior_entropy: 1, recall: 0.6144, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.581, root_relative_squared_error: 1.1621, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, build_cpu_time: 0.1946, build_memory: 689397476.0448, f_measure: 0.6162, kappa: 0.2395, kb_relative_information_score: 145.9299, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.624, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.1529, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, build_cpu_time: 0.3944, build_memory: 607333597.0176, f_measure: 0.6175, kappa: 0.2427, kb_relative_information_score: 147.0814, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6262, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5776, root_relative_squared_error: 1.1553, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, build_cpu_time: 0.4546, build_memory: 550989122.9568, f_measure: 0.6175, kappa: 0.2427, kb_relative_information_score: 147.0814, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6262, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5776, root_relative_squared_error: 1.1553, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, build_cpu_time: 0.7827, build_memory: 645641999.5264, f_measure: 0.616, kappa: 0.2395, kb_relative_information_score: 144.4297, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6244, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5782, root_relative_squared_error: 1.1565, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, build_cpu_time: 1.5982, build_memory: 2234736409.9456, f_measure: 0.6177, kappa: 0.2427, kb_relative_information_score: 146.8482, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6258, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.574, root_relative_squared_error: 1.148, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 0.2854, build_memory: 818079246.0288, f_measure: 0.9808, kappa: 0.9616, kb_relative_information_score: 541.3505, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 1, recall: 0.9808, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2892, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.1897, build_memory: 920774360.5632, f_measure: 0.9808, kappa: 0.9616, kb_relative_information_score: 540.839, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 1, recall: 0.9808, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.2905, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 0.089, build_memory: 1334322842.1504, f_measure: 0.9808, kappa: 0.9616, kb_relative_information_score: 541.3972, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 1, recall: 0.9808, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.2909, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.0485, build_memory: 1774544625.1008, f_measure: 0.9776, kappa: 0.9552, kb_relative_information_score: 542.0739, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9777, predictive_accuracy: 0.9776, prior_entropy: 1, recall: 0.9776, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.2971, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.0464, build_memory: 3000937103.8336, f_measure: 0.9776, kappa: 0.9552, kb_relative_information_score: 542.0739, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9777, predictive_accuracy: 0.9776, prior_entropy: 1, recall: 0.9776, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.2971, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 0.143, build_memory: 685687503.0016, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 545.4058, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 1, recall: 0.984, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2746, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.2595, build_memory: 1122990052.4416, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 545.8205, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.135, root_relative_squared_error: 0.27, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 18.3488, build_memory: 2297342178.3552, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 521.2121, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 1, recall: 0.984, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3107, scimark_benchmark: 912.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 7.5815, build_memory: 839428585.8944, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 521.1933, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3117, scimark_benchmark: 914.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 4.856, build_memory: 835393692.608, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 522.4364, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3091, scimark_benchmark: 908.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.8905, build_memory: 274046066.1632, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 523.0576, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 1, recall: 0.984, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3068, scimark_benchmark: 929.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1.0813, build_memory: 1881440961.6, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 523.2708, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 1, recall: 0.984, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3082, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0104, build_memory: 476056866.9824, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0117, build_memory: 475543600.2816, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0069, build_memory: 1547439243.0336, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0191, build_memory: 249173612.6464, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0201, build_memory: 224811035.0976, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0389, build_memory: 955742659.52, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.2405, build_memory: 719172644.8, f_measure: 0.9488, kappa: 0.8976, kb_relative_information_score: 417.1872, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 1, recall: 0.9488, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4864, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.2204, build_memory: 165483874.3296, f_measure: 0.9488, kappa: 0.8976, kb_relative_information_score: 417.1872, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 1, recall: 0.9488, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4864, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.0974, build_memory: 195895066.4832, f_measure: 0.9312, kappa: 0.8624, kb_relative_information_score: 405.644, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9314, predictive_accuracy: 0.9312, prior_entropy: 1, recall: 0.9312, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5232, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.1009, build_memory: 298651751.9104, f_measure: 0.9312, kappa: 0.8624, kb_relative_information_score: 405.644, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9314, predictive_accuracy: 0.9312, prior_entropy: 1, recall: 0.9312, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5232, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.1145, build_memory: 176941919.872, f_measure: 0.9312, kappa: 0.8624, kb_relative_information_score: 405.644, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.9314, predictive_accuracy: 0.9312, prior_entropy: 1, recall: 0.9312, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5232, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, build_cpu_time: 0.115, build_memory: 692022422.016, f_measure: 0.6169, kappa: 0.2564, kb_relative_information_score: 94.2912, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6444, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9517, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, build_cpu_time: 0.0244, build_memory: 161400903.5136, f_measure: 0.6375, kappa: 0.2774, kb_relative_information_score: 108.1641, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6404, predictive_accuracy: 0.6384, prior_entropy: 1, recall: 0.6384, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.46, root_relative_squared_error: 0.92, scimark_benchmark: 935.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 41.8953, build_memory: 842601171.0464, f_measure: 0.9248, kappa: 0.8496, kb_relative_information_score: 360.5462, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.925, predictive_accuracy: 0.9248, prior_entropy: 1, recall: 0.9248, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.5868, scimark_benchmark: 937.9767,
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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