Task
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 16674 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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16674 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, kappa: 0.1187, kb_relative_information_score: 0.2421, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4616, number_of_instances: 6118, predictive_accuracy: 0.4616, prior_entropy: 2.3, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.1965, unweighted_recall: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, kappa: 0.0462, kb_relative_information_score: 0.1972, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4232, number_of_instances: 6118, predictive_accuracy: 0.4232, prior_entropy: 2.3, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.2384, unweighted_recall: 0.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.3904, kappa: 0.1897, kb_relative_information_score: 0.2161, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2508, weighted_recall: 0.3848, number_of_instances: 6118, precision: 0.3994, predictive_accuracy: 0.3848, prior_entropy: 2.3, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.279, unweighted_recall: 0.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.5406, kappa: 0.3901, kb_relative_information_score: 0.4076, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5567, number_of_instances: 6118, precision: 0.5379, predictive_accuracy: 0.5567, prior_entropy: 2.3, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.0856, unweighted_recall: 0.4252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5643, kappa: 0.4212, kb_relative_information_score: 0.4313, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5691, number_of_instances: 6118, precision: 0.5621, predictive_accuracy: 0.5691, prior_entropy: 2.3, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0703, unweighted_recall: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.5434, kappa: 0.3944, kb_relative_information_score: 0.4131, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5637, number_of_instances: 6118, precision: 0.5428, predictive_accuracy: 0.5637, prior_entropy: 2.3, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3813, root_relative_squared_error: 1.077, unweighted_recall: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.5712, kappa: 0.4303, kb_relative_information_score: 0.4409, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5781, number_of_instances: 6118, precision: 0.5675, predictive_accuracy: 0.5781, prior_entropy: 2.3, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.375, root_relative_squared_error: 1.0591, unweighted_recall: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.5451, kappa: 0.3918, kb_relative_information_score: 0.4214, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5731, number_of_instances: 6118, precision: 0.5511, predictive_accuracy: 0.5731, prior_entropy: 2.3, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0654, unweighted_recall: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, kappa: 0.1196, kb_relative_information_score: 0.2425, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4619, number_of_instances: 6118, predictive_accuracy: 0.4619, prior_entropy: 2.3, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.1961, unweighted_recall: 0.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.2792, kappa: 0.044, kb_relative_information_score: 0.1103, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2508, weighted_recall: 0.3045, number_of_instances: 6118, precision: 0.3157, predictive_accuracy: 0.3045, prior_entropy: 2.3, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.3598, unweighted_recall: 0.1795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, kappa: 0.1045, kb_relative_information_score: 0.2294, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2508, weighted_recall: 0.451, number_of_instances: 6118, predictive_accuracy: 0.451, prior_entropy: 2.3, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.2082, unweighted_recall: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.6116, kappa: 0.4852, kb_relative_information_score: 0.4639, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6218, number_of_instances: 6118, precision: 0.6065, predictive_accuracy: 0.6218, prior_entropy: 2.3, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.8381, unweighted_recall: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.5812, kappa: 0.4445, kb_relative_information_score: 0.3745, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6018, number_of_instances: 6118, precision: 0.5794, predictive_accuracy: 0.6018, prior_entropy: 2.3, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.8397, unweighted_recall: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.5586, kappa: 0.4168, kb_relative_information_score: 0.3057, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5837, number_of_instances: 6118, precision: 0.5593, predictive_accuracy: 0.5837, prior_entropy: 2.3, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.8732, unweighted_recall: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, kappa: -0.0037, kb_relative_information_score: 0.0525, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4144, number_of_instances: 6118, predictive_accuracy: 0.4144, prior_entropy: 2.3, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9913, unweighted_recall: 0.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.5575, kappa: 0.4108, kb_relative_information_score: 0.3163, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5843, number_of_instances: 6118, precision: 0.5622, predictive_accuracy: 0.5843, prior_entropy: 2.3, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.864, unweighted_recall: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.3806, kappa: 0.1628, kb_relative_information_score: 0.1393, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4671, number_of_instances: 6118, precision: 0.4413, predictive_accuracy: 0.4671, prior_entropy: 2.3, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.957, unweighted_recall: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5222, kappa: 0.3609, kb_relative_information_score: 0.3201, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5616, number_of_instances: 6118, precision: 0.5389, predictive_accuracy: 0.5616, prior_entropy: 2.3, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.8772, unweighted_recall: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.6137, kappa: 0.4876, kb_relative_information_score: 0.4814, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6221, number_of_instances: 6118, precision: 0.6094, predictive_accuracy: 0.6221, prior_entropy: 2.3, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.301, root_relative_squared_error: 0.8501, unweighted_recall: 0.5093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.5477, kappa: 0.4013, kb_relative_information_score: 0.315, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5729, number_of_instances: 6118, precision: 0.5457, predictive_accuracy: 0.5729, prior_entropy: 2.3, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.8719, unweighted_recall: 0.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.4883, kappa: 0.3303, kb_relative_information_score: 0.2551, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5448, number_of_instances: 6118, precision: 0.5155, predictive_accuracy: 0.5448, prior_entropy: 2.3, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.892, unweighted_recall: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.457, kappa: 0.2896, kb_relative_information_score: 0.2161, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5275, number_of_instances: 6118, precision: 0.4856, predictive_accuracy: 0.5275, prior_entropy: 2.3, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.9141, unweighted_recall: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.5454, kappa: 0.3984, kb_relative_information_score: 0.3003, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5714, number_of_instances: 6118, precision: 0.5443, predictive_accuracy: 0.5714, prior_entropy: 2.3, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.8803, unweighted_recall: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.2989, kappa: 0.0644, kb_relative_information_score: 0.0648, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4384, number_of_instances: 6118, precision: 0.4429, predictive_accuracy: 0.4384, prior_entropy: 2.3, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.9811, unweighted_recall: 0.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.5254, kappa: 0.3688, kb_relative_information_score: 0.2735, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5539, number_of_instances: 6118, precision: 0.53, predictive_accuracy: 0.5539, prior_entropy: 2.3, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.8971, unweighted_recall: 0.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.4861, kappa: 0.3122, kb_relative_information_score: 0.2223, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5266, number_of_instances: 6118, precision: 0.4957, predictive_accuracy: 0.5266, prior_entropy: 2.3, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9215, unweighted_recall: 0.3609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.5456, kappa: 0.3984, kb_relative_information_score: 0.3137, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5711, number_of_instances: 6118, precision: 0.5434, predictive_accuracy: 0.5711, prior_entropy: 2.3, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.873, unweighted_recall: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.5456, kappa: 0.3984, kb_relative_information_score: 0.3137, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5711, number_of_instances: 6118, precision: 0.5434, predictive_accuracy: 0.5711, prior_entropy: 2.3, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.873, unweighted_recall: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, kappa: 0.0825, kb_relative_information_score: 0.1104, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4441, number_of_instances: 6118, predictive_accuracy: 0.4441, prior_entropy: 2.3, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.347, root_relative_squared_error: 0.9801, unweighted_recall: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.5073, kappa: 0.3461, kb_relative_information_score: 0.2407, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5507, number_of_instances: 6118, precision: 0.5232, predictive_accuracy: 0.5507, prior_entropy: 2.3, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9064, unweighted_recall: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.5176, kappa: 0.3576, kb_relative_information_score: 0.264, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5482, number_of_instances: 6118, precision: 0.5217, predictive_accuracy: 0.5482, prior_entropy: 2.3, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9029, unweighted_recall: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.5582, kappa: 0.4132, kb_relative_information_score: 0.3282, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5821, number_of_instances: 6118, precision: 0.5586, predictive_accuracy: 0.5821, prior_entropy: 2.3, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.8674, unweighted_recall: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.5288, kappa: 0.3742, kb_relative_information_score: 0.274, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2508, weighted_recall: 0.558, number_of_instances: 6118, precision: 0.5328, predictive_accuracy: 0.558, prior_entropy: 2.3, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.8967, unweighted_recall: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.4233, kappa: 0.2202, kb_relative_information_score: 0.1657, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4859, number_of_instances: 6118, precision: 0.4556, predictive_accuracy: 0.4859, prior_entropy: 2.3, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.9463, unweighted_recall: 0.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5488, kappa: 0.4047, kb_relative_information_score: 0.2902, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5788, number_of_instances: 6118, precision: 0.5535, predictive_accuracy: 0.5788, prior_entropy: 2.3, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.8791, unweighted_recall: 0.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.556, kappa: 0.409, kb_relative_information_score: 0.3231, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5825, number_of_instances: 6118, precision: 0.5601, predictive_accuracy: 0.5825, prior_entropy: 2.3, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.8634, unweighted_recall: 0.4378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, kappa: 0.0981, kb_relative_information_score: 0.1217, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4462, number_of_instances: 6118, predictive_accuracy: 0.4462, prior_entropy: 2.3, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.9648, unweighted_recall: 0.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0006, kb_relative_information_score: 0.0147, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4176, number_of_instances: 6118, predictive_accuracy: 0.4176, prior_entropy: 2.3, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9988, unweighted_recall: 0.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.5407, kappa: 0.391, kb_relative_information_score: 0.2945, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5652, number_of_instances: 6118, precision: 0.5409, predictive_accuracy: 0.5652, prior_entropy: 2.3, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.8863, unweighted_recall: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.4509, kappa: 0.2606, kb_relative_information_score: 0.1921, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2508, weighted_recall: 0.502, number_of_instances: 6118, precision: 0.4715, predictive_accuracy: 0.502, prior_entropy: 2.3, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9347, unweighted_recall: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.4346, kappa: 0.2388, kb_relative_information_score: 0.1731, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2508, weighted_recall: 0.491, number_of_instances: 6118, precision: 0.4577, predictive_accuracy: 0.491, prior_entropy: 2.3, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.9441, unweighted_recall: 0.3097,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.5302, kappa: 0.3772, kb_relative_information_score: 0.2747, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5613, number_of_instances: 6118, precision: 0.5336, predictive_accuracy: 0.5613, prior_entropy: 2.3, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.892, unweighted_recall: 0.4049,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.5527, kappa: 0.4084, kb_relative_information_score: 0.2911, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5586, predictive_accuracy: 0.5812, prior_entropy: 2.3, recall: 0.5812, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.4242, kappa: 0.2283, kb_relative_information_score: 0.1782, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4579, predictive_accuracy: 0.4951, prior_entropy: 2.3, recall: 0.4951, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5647, kappa: 0.421, kb_relative_information_score: 0.3541, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5683, predictive_accuracy: 0.591, prior_entropy: 2.3, recall: 0.591, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.4713, kappa: 0.2956, kb_relative_information_score: 0.3005, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4637, predictive_accuracy: 0.4827, prior_entropy: 2.3, recall: 0.4827, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.494, kappa: 0.3223, kb_relative_information_score: 0.3616, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.508, predictive_accuracy: 0.5319, prior_entropy: 2.3, recall: 0.5319, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.395, root_relative_squared_error: 1.1156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.543, kappa: 0.3903, kb_relative_information_score: 0.3075, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.558, predictive_accuracy: 0.578, prior_entropy: 2.3, recall: 0.578, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.536, kappa: 0.3853, kb_relative_information_score: 0.3608, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5293, predictive_accuracy: 0.5534, prior_entropy: 2.3, recall: 0.5534, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.6092, kappa: 0.4817, kb_relative_information_score: 0.4997, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6047, predictive_accuracy: 0.619, prior_entropy: 2.3, recall: 0.619, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.5916, kappa: 0.4577, kb_relative_information_score: 0.443, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.588, predictive_accuracy: 0.5977, prior_entropy: 2.3, recall: 0.5977, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.5506, kappa: 0.4023, kb_relative_information_score: 0.3319, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5527, predictive_accuracy: 0.5776, prior_entropy: 2.3, recall: 0.5776, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.3969, kappa: 0.1947, kb_relative_information_score: 0.2407, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3836, predictive_accuracy: 0.422, prior_entropy: 2.3, recall: 0.422, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.6092, kappa: 0.4817, kb_relative_information_score: 0.4997, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6047, predictive_accuracy: 0.619, prior_entropy: 2.3, recall: 0.619, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.5601, kappa: 0.4155, kb_relative_information_score: 0.4329, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5601, predictive_accuracy: 0.5636, prior_entropy: 2.3, recall: 0.5636, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.5587, kappa: 0.4129, kb_relative_information_score: 0.4284, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5606, predictive_accuracy: 0.557, prior_entropy: 2.3, recall: 0.557, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.0754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.601, kappa: 0.47, kb_relative_information_score: 0.4713, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5983, predictive_accuracy: 0.6053, prior_entropy: 2.3, recall: 0.6053, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.3545, kappa: 0.1748, kb_relative_information_score: 0.2104, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.407, predictive_accuracy: 0.3441, prior_entropy: 2.3, recall: 0.3441, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.15,

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

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

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