Task
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 16732 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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16732 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.3857, kappa: 0.1773, kb_relative_information_score: 0.1524, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4743, number_of_instances: 6118, precision: 0.45, predictive_accuracy: 0.4743, prior_entropy: 2.3, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9594, unweighted_recall: 0.2615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.3707, kappa: 0.1564, kb_relative_information_score: 0.1328, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4696, number_of_instances: 6118, precision: 0.422, predictive_accuracy: 0.4696, prior_entropy: 2.3, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9593, unweighted_recall: 0.2494,
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: 0.8617, f_measure: 0.5975, kappa: 0.4665, kb_relative_information_score: 0.4044, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6136, number_of_instances: 6118, precision: 0.5939, predictive_accuracy: 0.6136, prior_entropy: 2.3, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.8307, unweighted_recall: 0.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.5033, kappa: 0.3335, kb_relative_information_score: 0.2853, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5503, number_of_instances: 6118, precision: 0.5316, predictive_accuracy: 0.5503, prior_entropy: 2.3, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.8851, unweighted_recall: 0.3761,
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: 0.8672, 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: 0.8291, f_measure: 0.5257, kappa: 0.3665, kb_relative_information_score: 0.3252, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5644, number_of_instances: 6118, precision: 0.5403, predictive_accuracy: 0.5644, prior_entropy: 2.3, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.8753, unweighted_recall: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.5904, kappa: 0.4568, kb_relative_information_score: 0.3908, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6085, number_of_instances: 6118, precision: 0.5879, predictive_accuracy: 0.6085, prior_entropy: 2.3, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.835, unweighted_recall: 0.4791,
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: 0.7264, f_measure: 0.5741, kappa: 0.4339, kb_relative_information_score: 0.4469, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5821, number_of_instances: 6118, precision: 0.5696, predictive_accuracy: 0.5821, prior_entropy: 2.3, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3733, root_relative_squared_error: 1.0542, unweighted_recall: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.4136, kappa: 0.2135, kb_relative_information_score: 0.2872, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4812, number_of_instances: 6118, precision: 0.438, predictive_accuracy: 0.4812, prior_entropy: 2.3, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.1745, unweighted_recall: 0.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.5277, kappa: 0.3674, kb_relative_information_score: 0.404, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5651, number_of_instances: 6118, precision: 0.5475, predictive_accuracy: 0.5651, prior_entropy: 2.3, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.0754, unweighted_recall: 0.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.5268, kappa: 0.3702, kb_relative_information_score: 0.3959, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2508, weighted_recall: 0.553, number_of_instances: 6118, precision: 0.5304, predictive_accuracy: 0.553, prior_entropy: 2.3, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.386, root_relative_squared_error: 1.0902, unweighted_recall: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.4998, kappa: 0.3313, kb_relative_information_score: 0.3664, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5317, number_of_instances: 6118, precision: 0.5062, predictive_accuracy: 0.5317, prior_entropy: 2.3, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.1158, unweighted_recall: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.3039, kappa: 0.0809, kb_relative_information_score: 0.1761, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2508, weighted_recall: 0.3861, number_of_instances: 6118, precision: 0.3075, predictive_accuracy: 0.3861, prior_entropy: 2.3, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.2776, unweighted_recall: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.5401, kappa: 0.3893, kb_relative_information_score: 0.406, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5538, number_of_instances: 6118, precision: 0.5335, predictive_accuracy: 0.5538, prior_entropy: 2.3, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.0892, unweighted_recall: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.5013, kappa: 0.3336, kb_relative_information_score: 0.3681, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5347, number_of_instances: 6118, precision: 0.5089, predictive_accuracy: 0.5347, prior_entropy: 2.3, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.1123, unweighted_recall: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.4423, kappa: 0.2483, kb_relative_information_score: 0.3125, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4989, number_of_instances: 6118, precision: 0.4674, predictive_accuracy: 0.4989, prior_entropy: 2.3, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.1543, unweighted_recall: 0.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3281, kappa: 0.1019, kb_relative_information_score: 0.1939, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2508, weighted_recall: 0.397, number_of_instances: 6118, precision: 0.3168, predictive_accuracy: 0.397, prior_entropy: 2.3, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.2662, unweighted_recall: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.5109, kappa: 0.3425, kb_relative_information_score: 0.3849, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5467, number_of_instances: 6118, precision: 0.5259, predictive_accuracy: 0.5467, prior_entropy: 2.3, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3887, root_relative_squared_error: 1.0978, unweighted_recall: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.5527, kappa: 0.4058, kb_relative_information_score: 0.4194, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5618, number_of_instances: 6118, precision: 0.5487, predictive_accuracy: 0.5618, prior_entropy: 2.3, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.0794, unweighted_recall: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, kappa: 0.1204, kb_relative_information_score: 0.2435, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4627, number_of_instances: 6118, predictive_accuracy: 0.4627, prior_entropy: 2.3, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.1952, unweighted_recall: 0.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.4902, kappa: 0.3178, kb_relative_information_score: 0.3568, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5258, number_of_instances: 6118, precision: 0.4987, predictive_accuracy: 0.5258, prior_entropy: 2.3, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.1228, unweighted_recall: 0.3668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.4739, kappa: 0.295, kb_relative_information_score: 0.3413, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5173, number_of_instances: 6118, precision: 0.486, predictive_accuracy: 0.5173, prior_entropy: 2.3, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.1328, unweighted_recall: 0.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.5741, kappa: 0.4345, kb_relative_information_score: 0.447, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5861, number_of_instances: 6118, precision: 0.5694, predictive_accuracy: 0.5861, prior_entropy: 2.3, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3714, root_relative_squared_error: 1.049, unweighted_recall: 0.4642,
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: 0.8141, f_measure: 0.5099, kappa: 0.3429, kb_relative_information_score: 0.3155, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5508, number_of_instances: 6118, precision: 0.5277, predictive_accuracy: 0.5508, prior_entropy: 2.3, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8928, unweighted_recall: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.5936, kappa: 0.4614, kb_relative_information_score: 0.3972, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6105, number_of_instances: 6118, precision: 0.5902, predictive_accuracy: 0.6105, prior_entropy: 2.3, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.8328, unweighted_recall: 0.4826,
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: 0.8659, 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: 0.8659, 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: 0.8659, 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: 0.8659, 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: 0.8659, 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: 0.7118, f_measure: 0.5533, kappa: 0.4073, kb_relative_information_score: 0.4216, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5672, number_of_instances: 6118, precision: 0.548, predictive_accuracy: 0.5672, prior_entropy: 2.3, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.0727, unweighted_recall: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.5351, kappa: 0.3817, kb_relative_information_score: 0.4044, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2508, weighted_recall: 0.557, number_of_instances: 6118, precision: 0.5362, predictive_accuracy: 0.557, prior_entropy: 2.3, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0852, unweighted_recall: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5549, kappa: 0.4097, kb_relative_information_score: 0.4261, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5734, number_of_instances: 6118, precision: 0.5525, predictive_accuracy: 0.5734, prior_entropy: 2.3, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.065, unweighted_recall: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.3779, kappa: 0.1699, kb_relative_information_score: 0.2614, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4689, number_of_instances: 6118, precision: 0.4034, predictive_accuracy: 0.4689, prior_entropy: 2.3, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.1883, unweighted_recall: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.551, kappa: 0.4043, kb_relative_information_score: 0.4211, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2508, weighted_recall: 0.569, number_of_instances: 6118, precision: 0.5486, predictive_accuracy: 0.569, prior_entropy: 2.3, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0705, unweighted_recall: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4175, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445, unweighted_recall: 0.1667,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.5201, kappa: 0.3611, kb_relative_information_score: 0.3874, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5448, number_of_instances: 6118, precision: 0.5212, predictive_accuracy: 0.5448, prior_entropy: 2.3, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.1002, unweighted_recall: 0.4018,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.5272, kappa: 0.3708, kb_relative_information_score: 0.2985, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5616, number_of_instances: 6118, precision: 0.5375, predictive_accuracy: 0.5616, prior_entropy: 2.3, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.8749, unweighted_recall: 0.4055,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.5433, kappa: 0.3953, kb_relative_information_score: 0.3047, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5696, number_of_instances: 6118, precision: 0.5428, predictive_accuracy: 0.5696, prior_entropy: 2.3, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.8774, unweighted_recall: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.5437, kappa: 0.3958, kb_relative_information_score: 0.2947, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5691, number_of_instances: 6118, precision: 0.5431, predictive_accuracy: 0.5691, prior_entropy: 2.3, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8847, unweighted_recall: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.514, kappa: 0.3526, kb_relative_information_score: 0.2608, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5463, number_of_instances: 6118, precision: 0.5189, predictive_accuracy: 0.5463, prior_entropy: 2.3, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.9044, unweighted_recall: 0.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.3676, kappa: 0.1473, kb_relative_information_score: 0.1334, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4629, number_of_instances: 6118, precision: 0.4405, predictive_accuracy: 0.4629, prior_entropy: 2.3, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.9618, unweighted_recall: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.4377, kappa: 0.2697, kb_relative_information_score: 0.2145, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5188, number_of_instances: 6118, precision: 0.4661, predictive_accuracy: 0.5188, prior_entropy: 2.3, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.9131, unweighted_recall: 0.3012,

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

OpenML APIs