OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2111 Supervised Classification primary-tumor 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 1347.993, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4396, kappa: 0.4169, kb_relative_information_score: 41.4413, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4266, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.9029, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.3782, kappa: 0.3676, kb_relative_information_score: 38.956, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.353, predictive_accuracy: 0.4505, prior_entropy: 3.7542, recall: 0.4505, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.0489, scimark_benchmark: 942.9708, usercpu_time_millis: 650, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4396, kappa: 0.4169, kb_relative_information_score: 41.4413, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4266, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.9029, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.3678, kappa: 0.3181, kb_relative_information_score: 37.0165, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3828, predictive_accuracy: 0.3964, prior_entropy: 3.7542, recall: 0.3964, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.9913, scimark_benchmark: 916.6405, usercpu_time_millis: 710, usercpu_time_millis_testing: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.3638, kappa: 0.2972, kb_relative_information_score: 34.0829, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3815, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.9726, scimark_benchmark: 1064.8317, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.4511, kappa: 0.4207, kb_relative_information_score: 38.7029, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4419, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8859, scimark_benchmark: 1227.9507, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.4511, kappa: 0.4207, kb_relative_information_score: 38.7029, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4419, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8859, scimark_benchmark: 1320.9026, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.4511, kappa: 0.4207, kb_relative_information_score: 38.7029, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4419, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8859, scimark_benchmark: 1365.1392, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.2989, kappa: 0.3097, kb_relative_information_score: 26.0801, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2498, predictive_accuracy: 0.4324, prior_entropy: 3.7542, recall: 0.4324, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.9162, scimark_benchmark: 883.2709, usercpu_time_millis: 340, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.3393, kappa: 0.3382, kb_relative_information_score: 26.9384, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3069, predictive_accuracy: 0.4505, prior_entropy: 3.7542, recall: 0.4505, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.9132, scimark_benchmark: 1348.7888, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.4536, kappa: 0.4255, kb_relative_information_score: 44.2081, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4684, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.8932, scimark_benchmark: 937.1527, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.416, kappa: 0.3956, kb_relative_information_score: 43.7299, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3986, predictive_accuracy: 0.4685, prior_entropy: 3.7542, recall: 0.4685, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.8739, scimark_benchmark: 1299.9482, usercpu_time_millis: 7000, usercpu_time_millis_testing: 7000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.3575, kappa: 0.3463, kb_relative_information_score: 36.3551, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3042, predictive_accuracy: 0.4414, prior_entropy: 3.7542, recall: 0.4414, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2253, root_relative_squared_error: 1.1215, scimark_benchmark: 1346.4887, usercpu_time_millis: 55220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 55190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.2902, kappa: 0.2762, kb_relative_information_score: 24.1886, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2536, predictive_accuracy: 0.4144, prior_entropy: 3.7542, recall: 0.4144, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.9542, scimark_benchmark: 789.1062, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.4391, kappa: 0.4247, kb_relative_information_score: 43.542, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4151, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.8775, scimark_benchmark: 1318.5627, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.2931, kappa: 0.2984, kb_relative_information_score: 26.2392, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2409, predictive_accuracy: 0.4234, prior_entropy: 3.7542, recall: 0.4234, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.184, root_relative_squared_error: 0.9158, scimark_benchmark: 1275.9462, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.3856, kappa: 0.3497, kb_relative_information_score: 40.699, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3775, predictive_accuracy: 0.4234, prior_entropy: 3.7542, recall: 0.4234, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2016, root_relative_squared_error: 1.0035, scimark_benchmark: 1341.4232, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.4155, kappa: 0.381, kb_relative_information_score: 42.4822, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.412, predictive_accuracy: 0.4505, prior_entropy: 3.7542, recall: 0.4505, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.9698, scimark_benchmark: 1332.576, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.249, kappa: 0.2123, kb_relative_information_score: 27.6887, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2352, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.1831, scimark_benchmark: 1319.7801, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4396, kappa: 0.4169, kb_relative_information_score: 41.4413, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4266, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.9029, scimark_benchmark: 996.6105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.4372, kappa: 0.4145, kb_relative_information_score: 44.6759, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4164, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.8752, scimark_benchmark: 985.4928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.3355, kappa: 0.2776, kb_relative_information_score: 31.6501, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3592, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2175, root_relative_squared_error: 1.0827, scimark_benchmark: 912.5006, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.3355, kappa: 0.2776, kb_relative_information_score: 31.6501, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.3592, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2175, root_relative_squared_error: 1.0827, scimark_benchmark: 1360.2771, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.3224, kappa: 0.2859, kb_relative_information_score: 33.4474, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.2993, predictive_accuracy: 0.3784, prior_entropy: 3.7542, recall: 0.3784, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.198, root_relative_squared_error: 0.9852, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.4391, kappa: 0.4247, kb_relative_information_score: 43.542, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4151, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.8775, scimark_benchmark: 1343.4572, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.4391, kappa: 0.4247, kb_relative_information_score: 43.542, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4151, predictive_accuracy: 0.4955, prior_entropy: 3.7542, recall: 0.4955, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.8775, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.1874, kappa: 0.1831, kb_relative_information_score: 12.2849, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1282, predictive_accuracy: 0.3514, prior_entropy: 3.7542, recall: 0.3514, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.9546, scimark_benchmark: 1413.089, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.3822, kappa: 0.3407, kb_relative_information_score: 41.6565, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4035, predictive_accuracy: 0.4234, prior_entropy: 3.7542, recall: 0.4234, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.9964, scimark_benchmark: 1340.1351, usercpu_time_millis: 3000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1016, kb_relative_information_score: 0.4942, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.0636, predictive_accuracy: 0.2523, prior_entropy: 3.7542, recall: 0.2523, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2016, root_relative_squared_error: 1.0034, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.1759, kappa: 0.1746, kb_relative_information_score: 16.3458, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.1207, predictive_accuracy: 0.3333, prior_entropy: 3.7542, recall: 0.3333, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.9736, scimark_benchmark: 1264.6103,
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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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs