OpenML
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18738 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5625, kappa: 0.4195, kb_relative_information_score: 0.3842, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, weighted_recall: 0.578, number_of_instances: 6118, precision: 0.5561, predictive_accuracy: 0.578, prior_entropy: 2.3, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.8622, unweighted_recall: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.4974, kappa: 0.3302, kb_relative_information_score: 0.266, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5405, number_of_instances: 6118, precision: 0.5113, predictive_accuracy: 0.5405, prior_entropy: 2.3, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8925, unweighted_recall: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.5638, kappa: 0.421, kb_relative_information_score: 0.3844, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5789, number_of_instances: 6118, precision: 0.5575, predictive_accuracy: 0.5789, prior_entropy: 2.3, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8589, unweighted_recall: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.5677, kappa: 0.4265, kb_relative_information_score: 0.3806, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5855, number_of_instances: 6118, precision: 0.5623, predictive_accuracy: 0.5855, prior_entropy: 2.3, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.8541, unweighted_recall: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.5614, kappa: 0.4177, kb_relative_information_score: 0.379, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5767, number_of_instances: 6118, precision: 0.5554, predictive_accuracy: 0.5767, prior_entropy: 2.3, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.8602, unweighted_recall: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.5328, kappa: 0.3791, kb_relative_information_score: 0.3458, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2508, weighted_recall: 0.552, number_of_instances: 6118, precision: 0.5256, predictive_accuracy: 0.552, prior_entropy: 2.3, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8787, unweighted_recall: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.5555, kappa: 0.4111, kb_relative_information_score: 0.361, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5765, number_of_instances: 6118, precision: 0.5518, predictive_accuracy: 0.5765, prior_entropy: 2.3, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8575, unweighted_recall: 0.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.5644, kappa: 0.4219, kb_relative_information_score: 0.3597, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5839, number_of_instances: 6118, precision: 0.5606, predictive_accuracy: 0.5839, prior_entropy: 2.3, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.8547, unweighted_recall: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.5688, kappa: 0.428, kb_relative_information_score: 0.3948, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2508, weighted_recall: 0.583, number_of_instances: 6118, precision: 0.5625, predictive_accuracy: 0.583, prior_entropy: 2.3, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.8579, unweighted_recall: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.5527, kappa: 0.4068, kb_relative_information_score: 0.3679, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5703, number_of_instances: 6118, precision: 0.5462, predictive_accuracy: 0.5703, prior_entropy: 2.3, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.8673, unweighted_recall: 0.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.5673, kappa: 0.4261, kb_relative_information_score: 0.3819, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5843, number_of_instances: 6118, precision: 0.5621, predictive_accuracy: 0.5843, prior_entropy: 2.3, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.8536, unweighted_recall: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.5378, kappa: 0.3864, kb_relative_information_score: 0.3694, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5525, number_of_instances: 6118, precision: 0.5302, predictive_accuracy: 0.5525, prior_entropy: 2.3, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.8909, unweighted_recall: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.5559, kappa: 0.411, kb_relative_information_score: 0.3673, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5734, number_of_instances: 6118, precision: 0.5505, predictive_accuracy: 0.5734, prior_entropy: 2.3, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8705, unweighted_recall: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.5686, kappa: 0.4277, kb_relative_information_score: 0.3786, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2508, weighted_recall: 0.586, number_of_instances: 6118, precision: 0.5631, predictive_accuracy: 0.586, prior_entropy: 2.3, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.8515, unweighted_recall: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.5543, kappa: 0.4085, kb_relative_information_score: 0.3458, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.2508, weighted_recall: 0.578, number_of_instances: 6118, precision: 0.5515, predictive_accuracy: 0.578, prior_entropy: 2.3, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8588, unweighted_recall: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.5642, kappa: 0.4215, kb_relative_information_score: 0.3787, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5788, number_of_instances: 6118, precision: 0.5576, predictive_accuracy: 0.5788, prior_entropy: 2.3, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8672, unweighted_recall: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.5671, kappa: 0.4256, kb_relative_information_score: 0.393, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5814, number_of_instances: 6118, precision: 0.5605, predictive_accuracy: 0.5814, prior_entropy: 2.3, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.8616, unweighted_recall: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.5617, kappa: 0.4185, kb_relative_information_score: 0.3914, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5755, number_of_instances: 6118, precision: 0.5549, predictive_accuracy: 0.5755, prior_entropy: 2.3, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.863, unweighted_recall: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.5752, kappa: 0.437, kb_relative_information_score: 0.3952, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5914, number_of_instances: 6118, precision: 0.5694, predictive_accuracy: 0.5914, prior_entropy: 2.3, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3, root_relative_squared_error: 0.8473, unweighted_recall: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.5283, kappa: 0.3737, kb_relative_information_score: 0.3506, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5428, number_of_instances: 6118, precision: 0.5202, predictive_accuracy: 0.5428, prior_entropy: 2.3, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8978, unweighted_recall: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.5632, kappa: 0.4209, kb_relative_information_score: 0.3938, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5785, number_of_instances: 6118, precision: 0.5562, predictive_accuracy: 0.5785, prior_entropy: 2.3, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.8637, unweighted_recall: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.5125, kappa: 0.3521, kb_relative_information_score: 0.3151, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2508, weighted_recall: 0.533, number_of_instances: 6118, precision: 0.5043, predictive_accuracy: 0.533, prior_entropy: 2.3, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.9109, unweighted_recall: 0.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.5277, kappa: 0.3731, kb_relative_information_score: 0.341, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5466, number_of_instances: 6118, precision: 0.5197, predictive_accuracy: 0.5466, prior_entropy: 2.3, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8842, unweighted_recall: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.4947, kappa: 0.3261, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5396, number_of_instances: 6118, precision: 0.5117, predictive_accuracy: 0.5396, prior_entropy: 2.3, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.893, unweighted_recall: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.5599, kappa: 0.4161, kb_relative_information_score: 0.3549, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5811, number_of_instances: 6118, precision: 0.5567, predictive_accuracy: 0.5811, prior_entropy: 2.3, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.858, unweighted_recall: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.546, kappa: 0.3979, kb_relative_information_score: 0.347, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5672, number_of_instances: 6118, precision: 0.5409, predictive_accuracy: 0.5672, prior_entropy: 2.3, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.8661, unweighted_recall: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.5374, kappa: 0.386, kb_relative_information_score: 0.3436, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2508, weighted_recall: 0.557, number_of_instances: 6118, precision: 0.5306, predictive_accuracy: 0.557, prior_entropy: 2.3, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.8803, unweighted_recall: 0.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.544, kappa: 0.395, kb_relative_information_score: 0.3681, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5584, number_of_instances: 6118, precision: 0.5365, predictive_accuracy: 0.5584, prior_entropy: 2.3, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.8822, unweighted_recall: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.5635, kappa: 0.4211, kb_relative_information_score: 0.3869, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5786, number_of_instances: 6118, precision: 0.5567, predictive_accuracy: 0.5786, prior_entropy: 2.3, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8578, unweighted_recall: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.5583, kappa: 0.4138, kb_relative_information_score: 0.3726, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.2508, weighted_recall: 0.574, number_of_instances: 6118, precision: 0.5524, predictive_accuracy: 0.574, prior_entropy: 2.3, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8666, unweighted_recall: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.5597, kappa: 0.4161, kb_relative_information_score: 0.3806, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5762, number_of_instances: 6118, precision: 0.553, predictive_accuracy: 0.5762, prior_entropy: 2.3, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.8624, unweighted_recall: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.5636, kappa: 0.421, kb_relative_information_score: 0.3691, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5824, number_of_instances: 6118, precision: 0.5593, predictive_accuracy: 0.5824, prior_entropy: 2.3, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.8524, unweighted_recall: 0.4491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.5129, kappa: 0.3504, kb_relative_information_score: 0.2912, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5472, number_of_instances: 6118, precision: 0.5194, predictive_accuracy: 0.5472, prior_entropy: 2.3, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8818, unweighted_recall: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.5693, kappa: 0.4286, kb_relative_information_score: 0.3995, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5829, number_of_instances: 6118, precision: 0.5629, predictive_accuracy: 0.5829, prior_entropy: 2.3, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.861, unweighted_recall: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.5718, kappa: 0.4315, kb_relative_information_score: 0.3805, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5881, number_of_instances: 6118, precision: 0.5673, predictive_accuracy: 0.5881, prior_entropy: 2.3, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.8527, unweighted_recall: 0.4606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.5619, kappa: 0.4192, kb_relative_information_score: 0.3943, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2508, weighted_recall: 0.576, number_of_instances: 6118, precision: 0.5551, predictive_accuracy: 0.576, prior_entropy: 2.3, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8666, unweighted_recall: 0.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.5323, kappa: 0.3785, kb_relative_information_score: 0.3216, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5592, number_of_instances: 6118, precision: 0.5302, predictive_accuracy: 0.5592, prior_entropy: 2.3, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.8711, unweighted_recall: 0.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.553, kappa: 0.4072, kb_relative_information_score: 0.3812, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5669, number_of_instances: 6118, precision: 0.5457, predictive_accuracy: 0.5669, prior_entropy: 2.3, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.8799, unweighted_recall: 0.4378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.5451, kappa: 0.3964, kb_relative_information_score: 0.3555, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5633, number_of_instances: 6118, precision: 0.5383, predictive_accuracy: 0.5633, prior_entropy: 2.3, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.8707, unweighted_recall: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.564, kappa: 0.4214, kb_relative_information_score: 0.3981, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5776, number_of_instances: 6118, precision: 0.5573, predictive_accuracy: 0.5776, prior_entropy: 2.3, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8698, unweighted_recall: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.5399, kappa: 0.3897, kb_relative_information_score: 0.3581, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5572, number_of_instances: 6118, precision: 0.5321, predictive_accuracy: 0.5572, prior_entropy: 2.3, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.8806, unweighted_recall: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.4168, kappa: 0.2135, kb_relative_information_score: 0.186, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4969, number_of_instances: 6118, precision: 0.4933, predictive_accuracy: 0.4969, prior_entropy: 2.3, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.922, unweighted_recall: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.5481, kappa: 0.4005, kb_relative_information_score: 0.3756, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5628, number_of_instances: 6118, precision: 0.5403, predictive_accuracy: 0.5628, prior_entropy: 2.3, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.8813, unweighted_recall: 0.4347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.5453, kappa: 0.3971, kb_relative_information_score: 0.3739, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5597, number_of_instances: 6118, precision: 0.5376, predictive_accuracy: 0.5597, prior_entropy: 2.3, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8944, unweighted_recall: 0.429,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.5646, kappa: 0.422, kb_relative_information_score: 0.3768, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5812, number_of_instances: 6118, precision: 0.5596, predictive_accuracy: 0.5812, prior_entropy: 2.3, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.8535, unweighted_recall: 0.4521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.5032, kappa: 0.3379, kb_relative_information_score: 0.2798, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5432, number_of_instances: 6118, precision: 0.5155, predictive_accuracy: 0.5432, prior_entropy: 2.3, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.8872, unweighted_recall: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.5053, kappa: 0.3424, kb_relative_information_score: 0.334, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5217, number_of_instances: 6118, precision: 0.4976, predictive_accuracy: 0.5217, prior_entropy: 2.3, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.905, unweighted_recall: 0.3885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.5401, kappa: 0.3884, kb_relative_information_score: 0.4005, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5427, number_of_instances: 6118, precision: 0.5387, predictive_accuracy: 0.5427, prior_entropy: 2.3, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.9482, unweighted_recall: 0.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.5248, kappa: 0.3684, kb_relative_information_score: 0.3836, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2508, weighted_recall: 0.533, number_of_instances: 6118, precision: 0.5196, predictive_accuracy: 0.533, prior_entropy: 2.3, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9156, unweighted_recall: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.5133, kappa: 0.3532, kb_relative_information_score: 0.351, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5284, number_of_instances: 6118, precision: 0.5058, predictive_accuracy: 0.5284, prior_entropy: 2.3, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.322, root_relative_squared_error: 0.9095, unweighted_recall: 0.3965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5147, kappa: 0.356, kb_relative_information_score: 0.3546, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2508, weighted_recall: 0.532, number_of_instances: 6118, precision: 0.5083, predictive_accuracy: 0.532, prior_entropy: 2.3, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.9, unweighted_recall: 0.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.524, kappa: 0.367, kb_relative_information_score: 0.3801, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5342, number_of_instances: 6118, precision: 0.5185, predictive_accuracy: 0.5342, prior_entropy: 2.3, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9122, unweighted_recall: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.4899, kappa: 0.3204, kb_relative_information_score: 0.3241, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2508, weighted_recall: 0.509, number_of_instances: 6118, precision: 0.482, predictive_accuracy: 0.509, prior_entropy: 2.3, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.9142, unweighted_recall: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.521, kappa: 0.363, kb_relative_information_score: 0.3669, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5312, number_of_instances: 6118, precision: 0.5155, predictive_accuracy: 0.5312, prior_entropy: 2.3, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.9132, unweighted_recall: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.5239, kappa: 0.367, kb_relative_information_score: 0.3436, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5399, number_of_instances: 6118, precision: 0.5176, predictive_accuracy: 0.5399, prior_entropy: 2.3, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9019, unweighted_recall: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.5042, kappa: 0.3419, kb_relative_information_score: 0.3267, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5245, number_of_instances: 6118, precision: 0.4964, predictive_accuracy: 0.5245, prior_entropy: 2.3, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9069, unweighted_recall: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.5296, kappa: 0.3745, kb_relative_information_score: 0.4181, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5286, number_of_instances: 6118, precision: 0.5315, predictive_accuracy: 0.5286, prior_entropy: 2.3, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.964, unweighted_recall: 0.432,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.5176, kappa: 0.3585, kb_relative_information_score: 0.3769, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5283, number_of_instances: 6118, precision: 0.512, predictive_accuracy: 0.5283, prior_entropy: 2.3, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9185, unweighted_recall: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.5085, kappa: 0.3467, kb_relative_information_score: 0.3605, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5191, number_of_instances: 6118, precision: 0.5025, predictive_accuracy: 0.5191, prior_entropy: 2.3, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.9173, unweighted_recall: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.5155, kappa: 0.356, kb_relative_information_score: 0.3564, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5297, number_of_instances: 6118, precision: 0.5091, predictive_accuracy: 0.5297, prior_entropy: 2.3, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.9071, unweighted_recall: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.5171, kappa: 0.3593, kb_relative_information_score: 0.3496, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5302, number_of_instances: 6118, precision: 0.5104, predictive_accuracy: 0.5302, prior_entropy: 2.3, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.9055, unweighted_recall: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.5353, kappa: 0.3823, kb_relative_information_score: 0.4296, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5291, number_of_instances: 6118, precision: 0.5473, predictive_accuracy: 0.5291, prior_entropy: 2.3, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3548, root_relative_squared_error: 1.0019, unweighted_recall: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.4974, kappa: 0.333, kb_relative_information_score: 0.3296, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5165, number_of_instances: 6118, precision: 0.4891, predictive_accuracy: 0.5165, prior_entropy: 2.3, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.9132, unweighted_recall: 0.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.5264, kappa: 0.3705, kb_relative_information_score: 0.3824, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2508, weighted_recall: 0.535, number_of_instances: 6118, precision: 0.5211, predictive_accuracy: 0.535, prior_entropy: 2.3, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9167, unweighted_recall: 0.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.4839, kappa: 0.3129, kb_relative_information_score: 0.3103, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5074, number_of_instances: 6118, precision: 0.4766, predictive_accuracy: 0.5074, prior_entropy: 2.3, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9126, unweighted_recall: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.5426, kappa: 0.3911, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5418, number_of_instances: 6118, precision: 0.5451, predictive_accuracy: 0.5418, prior_entropy: 2.3, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.9569, unweighted_recall: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.516, kappa: 0.3563, kb_relative_information_score: 0.3708, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5255, number_of_instances: 6118, precision: 0.5113, predictive_accuracy: 0.5255, prior_entropy: 2.3, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.913, unweighted_recall: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.5433, kappa: 0.3925, kb_relative_information_score: 0.4236, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5446, number_of_instances: 6118, precision: 0.5455, predictive_accuracy: 0.5446, prior_entropy: 2.3, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.9549, unweighted_recall: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.4455, kappa: 0.2575, kb_relative_information_score: 0.2362, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4871, number_of_instances: 6118, precision: 0.4465, predictive_accuracy: 0.4871, prior_entropy: 2.3, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.9325, unweighted_recall: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.5199, kappa: 0.3621, kb_relative_information_score: 0.3444, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5348, number_of_instances: 6118, precision: 0.5124, predictive_accuracy: 0.5348, prior_entropy: 2.3, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.9077, unweighted_recall: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.5345, kappa: 0.3808, kb_relative_information_score: 0.4194, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5356, number_of_instances: 6118, precision: 0.5343, predictive_accuracy: 0.5356, prior_entropy: 2.3, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9467, unweighted_recall: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.5178, kappa: 0.3594, kb_relative_information_score: 0.3795, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5288, number_of_instances: 6118, precision: 0.5123, predictive_accuracy: 0.5288, prior_entropy: 2.3, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9117, unweighted_recall: 0.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.5072, kappa: 0.3451, kb_relative_information_score: 0.3373, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5219, number_of_instances: 6118, precision: 0.5006, predictive_accuracy: 0.5219, prior_entropy: 2.3, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9084, unweighted_recall: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.4997, kappa: 0.3348, kb_relative_information_score: 0.3146, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5193, number_of_instances: 6118, precision: 0.4931, predictive_accuracy: 0.5193, prior_entropy: 2.3, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.9079, unweighted_recall: 0.3809,

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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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