Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 12675 runs submitted
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  • 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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12675 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 153.0505, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.24, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, kb_relative_information_score: -1949.7302, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.5091, kappa: -0.0108, kb_relative_information_score: -24751.7142, mean_absolute_error: 0.6121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8766, predictive_accuracy: 0.3879, prior_entropy: 0.3333, recall: 0.3879, relative_absolute_error: 5.3144, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.7824, root_relative_squared_error: 3.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, kb_relative_information_score: -1197.19, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -133.0208, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, kb_relative_information_score: -544.7137, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -1114.1739, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 85.0245, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -101.4844, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 15.9145, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -1139.1688, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, kb_relative_information_score: -1807.6994, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -179.7258, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 7.9015, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 152.2328, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.24, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -108.856, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39965.4284, mean_absolute_error: 0.9388, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.0612, prior_entropy: 0.3333, recall: 0.0612, relative_absolute_error: 8.15, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.9689, root_relative_squared_error: 4.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 54.1668, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -4340.7287, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.1658, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2408, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -900.5182, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0304, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 138.1333, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 104.9461, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9757, kappa: 0.7949, kb_relative_information_score: 1935.367, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9768, predictive_accuracy: 0.9751, prior_entropy: 0.3333, recall: 0.9751, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -87.7005, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9113, kappa: 0.0301, kb_relative_information_score: -837.8531, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9172, predictive_accuracy: 0.939, prior_entropy: 0.3333, recall: 0.939, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.8448, kappa: 0.1539, kb_relative_information_score: -5693.4315, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.912, predictive_accuracy: 0.7996, prior_entropy: 0.3333, recall: 0.7996, relative_absolute_error: 1.7712, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4477, root_relative_squared_error: 1.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 87.5311, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kb_relative_information_score: 54.3191, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 53.1374, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -220.8248, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 81.0932, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 53.2784, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -1256.1783, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0429, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39965.4284, mean_absolute_error: 0.9388, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.0612, prior_entropy: 0.3333, recall: 0.0612, relative_absolute_error: 8.15, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.9689, root_relative_squared_error: 4.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -245.954, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 137.0869, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 271.9127, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2404, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 232.7711, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2402, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, kb_relative_information_score: -1567.795, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -6167.9954, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.2419, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2426, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 5.0629, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, kb_relative_information_score: -1467.9753, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -6.6673, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 122.9551, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -4283.9071, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2408, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, kb_relative_information_score: -1605.4377, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -459.5541, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -567.885, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.8167, kappa: 0.0016, kb_relative_information_score: -7265.8218, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8853, predictive_accuracy: 0.7633, prior_entropy: 0.3333, recall: 0.7633, relative_absolute_error: 2.0553, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4866, root_relative_squared_error: 2.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 212.5284, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2402, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -449.4768, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2542.1938, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -202.8024, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -230.5473, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -212.3882, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 13.5334, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -1804.084, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0629, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -2666.7946, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0959, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9264, kappa: 0.278, kb_relative_information_score: -732.4729, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9216, predictive_accuracy: 0.9366, prior_entropy: 0.3333, recall: 0.9366, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, kb_relative_information_score: -2626.0386, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.237, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -9027.2691, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.4113, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2459, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -482.901, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, kb_relative_information_score: -867.9543, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 30.5535, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 77.465, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, kb_relative_information_score: -1861.5098, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 70.0338, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: -710.2953, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0238, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -174.9184, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 322.3941, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2407, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -1011.7662, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0345, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.6661, kappa: 0.0017, kb_relative_information_score: -17021.3691, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8857, predictive_accuracy: 0.5538, prior_entropy: 0.3333, recall: 0.5538, relative_absolute_error: 3.8736, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.668, root_relative_squared_error: 2.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -3663.345, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.1389, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2407, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -869.2383, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9193, kappa: 0.192, kb_relative_information_score: -1051.4046, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9122, predictive_accuracy: 0.9327, prior_entropy: 0.3333, recall: 0.9327, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: -116.6796, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -582.2798, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -76.7349, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -14.7266, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, kb_relative_information_score: -1517.0851, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9726, kappa: 0.7611, kb_relative_information_score: 1873.7977, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9727, prior_entropy: 0.3333, recall: 0.9727, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, kb_relative_information_score: -1576.3692, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -540.1803, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, kb_relative_information_score: 772.7849, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -368.2819, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39965.4284, mean_absolute_error: 0.9388, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.0612, prior_entropy: 0.3333, recall: 0.0612, relative_absolute_error: 8.15, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.9689, root_relative_squared_error: 4.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.3167, kappa: -0.0005, kb_relative_information_score: -31790.5267, mean_absolute_error: 0.7633, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8841, predictive_accuracy: 0.2367, prior_entropy: 0.3333, recall: 0.2367, relative_absolute_error: 6.6264, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.8736, root_relative_squared_error: 3.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 124.5479, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, kb_relative_information_score: -758.7735, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, kb_relative_information_score: -1098.3734, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -3247.327, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.1191, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2403, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kb_relative_information_score: 70.7026, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 79.8736, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, kb_relative_information_score: -2827.9758, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9564, kappa: 0.6219, kb_relative_information_score: 1027.5232, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9565, predictive_accuracy: 0.9563, prior_entropy: 0.3333, recall: 0.9563, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: -482.7148, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, kb_relative_information_score: -412.57, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.239, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, kb_relative_information_score: 97.0861, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.9094, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kb_relative_information_score: -990.032, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.953,

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