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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
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Function: require_once

OpenML
Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 1786 Supervised Classification mfeat-zernike 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8059, kappa: 0.7879, kb_relative_information_score: 8383.6834, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8042, predictive_accuracy: 0.8091, prior_entropy: 3.3219, recall: 0.8091, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, scimark_benchmark: 940.3347, usercpu_time_millis: 1650, usercpu_time_millis_testing: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7397, kappa: 0.7139, kb_relative_information_score: 2738.7313, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7456, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9203, scimark_benchmark: 882.7843, usercpu_time_millis: 10510, usercpu_time_millis_testing: 8360, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8274, kappa: 0.8109, kb_relative_information_score: 2862.4207, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8256, predictive_accuracy: 0.8298, prior_entropy: 3.3219, recall: 0.8298, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9137, scimark_benchmark: 1321.527, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8191, kappa: 0.8018, kb_relative_information_score: 8366.5218, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8168, predictive_accuracy: 0.8216, prior_entropy: 3.3219, recall: 0.8216, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.495, scimark_benchmark: 1321.527, usercpu_time_millis: 3160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7789, kappa: 0.7527, kb_relative_information_score: 7672.1438, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.783, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7033, scimark_benchmark: 938.9967, usercpu_time_millis: 2060, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 1368.9272, usercpu_time_millis: 73380, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 72280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7743, kappa: 0.7527, kb_relative_information_score: 6968.5938, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7721, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.625, scimark_benchmark: 1301.9956, usercpu_time_millis: 1980, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.5908, kappa: 0.5403, kb_relative_information_score: 5673.7013, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5962, predictive_accuracy: 0.5863, prior_entropy: 3.3219, recall: 0.5863, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9588, scimark_benchmark: 1319.9043, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.6518, kappa: 0.6172, kb_relative_information_score: 6445.1364, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6493, predictive_accuracy: 0.6555, prior_entropy: 3.3219, recall: 0.6555, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7436, scimark_benchmark: 1066.7184, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.6505, kappa: 0.617, kb_relative_information_score: 6400.2056, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6485, predictive_accuracy: 0.6553, prior_entropy: 3.3219, recall: 0.6553, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.7544, scimark_benchmark: 1339.7143, usercpu_time_millis: 1990, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.6641, kappa: 0.6397, kb_relative_information_score: 6608.6085, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6753, predictive_accuracy: 0.6757, prior_entropy: 3.3219, recall: 0.6757, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.8489, scimark_benchmark: 1294.7826, usercpu_time_millis: 3050, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.0238, kappa: 0.0031, kb_relative_information_score: 617.4638, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.41, predictive_accuracy: 0.1028, prior_entropy: 3.3219, recall: 0.1028, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.412, scimark_benchmark: 1384.4418, usercpu_time_millis: 1880, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.6908, kappa: 0.6572, kb_relative_information_score: 7048.7124, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6907, predictive_accuracy: 0.6915, prior_entropy: 3.3219, recall: 0.6915, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.761, scimark_benchmark: 1466.6185, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.2585, kappa: 0.185, kb_relative_information_score: 2329.3688, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.2605, predictive_accuracy: 0.2665, prior_entropy: 3.3219, recall: 0.2665, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.383, root_relative_squared_error: 1.2767, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.6643, kappa: 0.6248, kb_relative_information_score: 6468.477, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.668, predictive_accuracy: 0.6623, prior_entropy: 3.3219, recall: 0.6623, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.8663, scimark_benchmark: 1028.5889, usercpu_time_millis: 37600, usercpu_time_millis_training: 37600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.6733, kappa: 0.6386, kb_relative_information_score: 6933.5365, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6726, predictive_accuracy: 0.6747, prior_entropy: 3.3219, recall: 0.6747, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.7648, scimark_benchmark: 1066.833, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 5.0122, build_memory: 738260694.4, f_measure: 0.8198, kappa: 0.797, kb_relative_information_score: 8288.28, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8226, predictive_accuracy: 0.8173, prior_entropy: 3.3219, recall: 0.8173, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 937.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 5.7154, build_memory: 685581059.2, f_measure: 0.8198, kappa: 0.797, kb_relative_information_score: 8288.28, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8226, predictive_accuracy: 0.8173, prior_entropy: 3.3219, recall: 0.8173, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 6.3039, build_memory: 1087738672, f_measure: 0.8198, kappa: 0.797, kb_relative_information_score: 8288.28, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8226, predictive_accuracy: 0.8173, prior_entropy: 3.3219, recall: 0.8173, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, build_cpu_time: 5.5231, build_memory: 791214146.4, f_measure: 0.8201, kappa: 0.7973, kb_relative_information_score: 8286.8087, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8229, predictive_accuracy: 0.8176, prior_entropy: 3.3219, recall: 0.8176, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5394, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 3.7481, build_memory: 740715711.2, f_measure: 0.8224, kappa: 0.8004, kb_relative_information_score: 8268.8984, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8247, predictive_accuracy: 0.8204, prior_entropy: 3.3219, recall: 0.8204, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5339, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, build_cpu_time: 1.228, build_memory: 397214628, f_measure: 0.7442, kappa: 0.7168, kb_relative_information_score: 7218.3136, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7448, predictive_accuracy: 0.7451, prior_entropy: 3.3219, recall: 0.7451, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.6221, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, build_cpu_time: 2.3469, build_memory: 175100299.2, f_measure: 0.761, kappa: 0.7338, kb_relative_information_score: 7602.6309, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7629, predictive_accuracy: 0.7604, prior_entropy: 3.3219, recall: 0.7604, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6225, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 3.4168, build_memory: 130260247.2, f_measure: 0.7642, kappa: 0.7373, kb_relative_information_score: 7665.5832, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7664, predictive_accuracy: 0.7636, prior_entropy: 3.3219, recall: 0.7636, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6285, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, build_cpu_time: 3.3339, build_memory: 491800639.2, f_measure: 0.7641, kappa: 0.7372, kb_relative_information_score: 7665.5386, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7662, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6291, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, build_cpu_time: 3.6166, build_memory: 70024654.4, f_measure: 0.7641, kappa: 0.7372, kb_relative_information_score: 7665.5386, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7662, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6291, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.019, build_memory: 727076094.4, f_measure: 0.6085, kappa: 0.5618, kb_relative_information_score: 5875.5325, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6115, predictive_accuracy: 0.6056, prior_entropy: 3.3219, recall: 0.6056, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9362, scimark_benchmark: 916.3022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, build_cpu_time: 0.0253, build_memory: 629306962.4, f_measure: 0.6085, kappa: 0.5618, kb_relative_information_score: 5875.5325, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6115, predictive_accuracy: 0.6056, prior_entropy: 3.3219, recall: 0.6056, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9362, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, build_cpu_time: 0.7908, build_memory: 1628633830.4, f_measure: 0.76, kappa: 0.7338, kb_relative_information_score: 7726.1368, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7601, predictive_accuracy: 0.7604, prior_entropy: 3.3219, recall: 0.7604, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6516, scimark_benchmark: 918.4301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, build_cpu_time: 0.7488, build_memory: 1140378418.4, f_measure: 0.7397, kappa: 0.7139, kb_relative_information_score: 2738.7313, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7456, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9203, scimark_benchmark: 941.5807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 738202572, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.0113, build_memory: 455727176.8, f_measure: 0.731, kappa: 0.7013, kb_relative_information_score: 7416.9139, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7316, predictive_accuracy: 0.7312, prior_entropy: 3.3219, recall: 0.7312, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7032, scimark_benchmark: 947.3376,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, build_cpu_time: 0.1335, build_memory: 167256863.2, f_measure: 0.6733, kappa: 0.6386, kb_relative_information_score: 6933.5365, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6726, predictive_accuracy: 0.6747, prior_entropy: 3.3219, recall: 0.6747, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.7648, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 2.6859, build_memory: 767612739.2, f_measure: 0.8289, kappa: 0.8121, kb_relative_information_score: 2847.4321, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 3.3219, recall: 0.8309, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9129, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, build_cpu_time: 5.749, build_memory: 836359136, f_measure: 0.829, kappa: 0.8119, kb_relative_information_score: 2847.5063, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8277, predictive_accuracy: 0.8307, prior_entropy: 3.3219, recall: 0.8307, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 11.1844, build_memory: 618611637.6, f_measure: 0.8281, kappa: 0.811, kb_relative_information_score: 2847.8109, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8268, predictive_accuracy: 0.8299, prior_entropy: 3.3219, recall: 0.8299, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 945.8947,

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