OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, kb_relative_information_score: 52.4742, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 2.5045, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -17.554, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -5.8385, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -64.8336, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, kb_relative_information_score: 90.642, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.8247, kappa: 0.4442, kb_relative_information_score: 145.8148, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8212, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 152.8681, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7169, kappa: 0.0393, kb_relative_information_score: 66.782, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.704, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -29.7718, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.782, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -93.584, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4055, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -277.3107, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.2165, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.8099, kappa: 0.4282, kb_relative_information_score: 114.0906, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8142, predictive_accuracy: 0.8065, prior_entropy: 0.734, recall: 0.8065, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -77.8929, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, kb_relative_information_score: 23.8514, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, kb_relative_information_score: -65.1287, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0442, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -51.3085, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0329, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8195, kappa: 0.4511, kb_relative_information_score: 107.4373, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8212, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -10.9428, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -27.3722, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 34.9986, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4063, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -29.9918, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.4864, kappa: 0.0084, kb_relative_information_score: -514.9503, mean_absolute_error: 0.5575, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6796, predictive_accuracy: 0.4425, prior_entropy: 0.734, recall: 0.4425, relative_absolute_error: 1.7069, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, kb_relative_information_score: 69.293, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -33.2869, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, kb_relative_information_score: 43.2241, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 8.1447, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -13.1588, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, kb_relative_information_score: -10.4073, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -2.0708, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 62.6993, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8239, kappa: 0.44, kb_relative_information_score: 153.6111, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8204, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -29.221, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -89.6819, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0595, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 3.8309, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 53.5326, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -135.706, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0937, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 3.0783, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -100.8433, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8118, kappa: 0.3969, kb_relative_information_score: 132.5838, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8075, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, kb_relative_information_score: 11.7182, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 66.7386, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 1.609, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.8282, kappa: 0.4813, kb_relative_information_score: 87.4237, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8314, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -66.5563, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 7.6526, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8276, kappa: 0.4996, kb_relative_information_score: 98.653, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8412, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -136.8266, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0954, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 16.5914, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.323, kappa: -0.0015, kb_relative_information_score: -735.5493, mean_absolute_error: 0.6762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6719, predictive_accuracy: 0.3238, prior_entropy: 0.734, recall: 0.3238, relative_absolute_error: 2.0706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8223, root_relative_squared_error: 2.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7578, kappa: 0.1881, kb_relative_information_score: 102.0777, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7551, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -69.6263, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, kb_relative_information_score: 44.2969, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, kb_relative_information_score: 49.9867, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3745, f_measure: 0.5256, kappa: -0.0995, kb_relative_information_score: -462.3476, mean_absolute_error: 0.5324, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6284, predictive_accuracy: 0.4751, prior_entropy: 0.734, recall: 0.4751, relative_absolute_error: 1.6301, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7243, root_relative_squared_error: 1.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -3.099, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 12.7075, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 10.019, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -386.6182, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.333, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.1006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -6.064, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 8.9947, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -40.9022, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, kb_relative_information_score: 76.9295, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 3.3986, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -0.3636, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, kb_relative_information_score: 30.3412, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.434, kappa: -0.0385, kb_relative_information_score: -607.4595, mean_absolute_error: 0.6073, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6454, predictive_accuracy: 0.3927, prior_entropy: 0.734, recall: 0.3927, relative_absolute_error: 1.8594, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7793, root_relative_squared_error: 1.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.8244, kappa: 0.4765, kb_relative_information_score: 97.1882, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8306, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.347, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 16.4478, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -62.2892, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -6.3139, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.323, kappa: -0.0015, kb_relative_information_score: -735.5493, mean_absolute_error: 0.6762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6719, predictive_accuracy: 0.3238, prior_entropy: 0.734, recall: 0.3238, relative_absolute_error: 2.0706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8223, root_relative_squared_error: 2.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7743, kappa: 0.2609, kb_relative_information_score: 42.4283, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7673, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.359, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -97.0547, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0647, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8175, kappa: 0.4188, kb_relative_information_score: 136.4625, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8136, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -157.7729, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1113, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7111, kappa: 0.2073, kb_relative_information_score: -79.4296, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7475, predictive_accuracy: 0.6897, prior_entropy: 0.734, recall: 0.6897, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 18.6269, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 139.7307, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7308, kappa: 0.0864, kb_relative_information_score: 72.4679, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7372, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.373, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 7.7091, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.8217, kappa: 0.4588, kb_relative_information_score: 121.1292, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8238, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 7.9135, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8358, kappa: 0.498, kb_relative_information_score: 125.9863, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8364, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.8135, kappa: 0.4153, kb_relative_information_score: 127.0927, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8103, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8215, kappa: 0.4515, kb_relative_information_score: 145.5415, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8212, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.8347, kappa: 0.5034, kb_relative_information_score: 123.6076, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8389, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -1.1084, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -126.9686, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -109.1079, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0736, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -8.0783, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, kb_relative_information_score: 21.1295, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -7.4726, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -52.1859, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 77.5738, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0348,

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