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: 0.8262, f_measure: 0.5354, kappa: 0.3827, kb_relative_information_score: 0.3137, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5654, number_of_instances: 6118, precision: 0.5381, predictive_accuracy: 0.5654, prior_entropy: 2.3, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.8712, unweighted_recall: 0.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.5751, kappa: 0.4361, kb_relative_information_score: 0.4114, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5874, number_of_instances: 6118, precision: 0.569, predictive_accuracy: 0.5874, prior_entropy: 2.3, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.8591, unweighted_recall: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.5626, kappa: 0.42, kb_relative_information_score: 0.3786, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5798, number_of_instances: 6118, precision: 0.5561, predictive_accuracy: 0.5798, prior_entropy: 2.3, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.8608, unweighted_recall: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.5259, kappa: 0.3701, kb_relative_information_score: 0.3198, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5474, number_of_instances: 6118, precision: 0.5191, predictive_accuracy: 0.5474, prior_entropy: 2.3, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.8908, unweighted_recall: 0.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.5711, kappa: 0.4314, kb_relative_information_score: 0.3928, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5868, number_of_instances: 6118, precision: 0.5647, predictive_accuracy: 0.5868, prior_entropy: 2.3, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8578, unweighted_recall: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.5516, kappa: 0.4042, kb_relative_information_score: 0.373, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2508, weighted_recall: 0.567, number_of_instances: 6118, precision: 0.5456, predictive_accuracy: 0.567, prior_entropy: 2.3, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.868, unweighted_recall: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.5475, kappa: 0.3998, kb_relative_information_score: 0.3655, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5651, number_of_instances: 6118, precision: 0.5404, predictive_accuracy: 0.5651, prior_entropy: 2.3, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.8701, unweighted_recall: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.5483, kappa: 0.4002, kb_relative_information_score: 0.3746, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5634, number_of_instances: 6118, precision: 0.5413, predictive_accuracy: 0.5634, prior_entropy: 2.3, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.8751, unweighted_recall: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.542, kappa: 0.3916, kb_relative_information_score: 0.3526, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.2508, weighted_recall: 0.557, number_of_instances: 6118, precision: 0.5352, predictive_accuracy: 0.557, prior_entropy: 2.3, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.882, unweighted_recall: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.5526, kappa: 0.4059, kb_relative_information_score: 0.3759, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2508, weighted_recall: 0.568, number_of_instances: 6118, precision: 0.5467, predictive_accuracy: 0.568, prior_entropy: 2.3, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.8738, unweighted_recall: 0.4416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.5427, kappa: 0.3931, kb_relative_information_score: 0.3686, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5559, number_of_instances: 6118, precision: 0.5353, predictive_accuracy: 0.5559, prior_entropy: 2.3, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.8859, unweighted_recall: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.5453, kappa: 0.3962, kb_relative_information_score: 0.3313, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2508, weighted_recall: 0.57, number_of_instances: 6118, precision: 0.5437, predictive_accuracy: 0.57, prior_entropy: 2.3, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8676, unweighted_recall: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.547, kappa: 0.3987, kb_relative_information_score: 0.3684, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5624, number_of_instances: 6118, precision: 0.5398, predictive_accuracy: 0.5624, prior_entropy: 2.3, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8783, unweighted_recall: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.555, kappa: 0.4096, kb_relative_information_score: 0.361, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5752, number_of_instances: 6118, precision: 0.5503, predictive_accuracy: 0.5752, prior_entropy: 2.3, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.8573, unweighted_recall: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.5391, kappa: 0.3883, kb_relative_information_score: 0.3629, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5543, number_of_instances: 6118, precision: 0.5312, predictive_accuracy: 0.5543, prior_entropy: 2.3, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.8918, unweighted_recall: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.5496, kappa: 0.4029, kb_relative_information_score: 0.3663, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5654, number_of_instances: 6118, precision: 0.5421, predictive_accuracy: 0.5654, prior_entropy: 2.3, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.8753, unweighted_recall: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.5573, kappa: 0.4127, kb_relative_information_score: 0.3835, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5726, number_of_instances: 6118, precision: 0.5505, predictive_accuracy: 0.5726, prior_entropy: 2.3, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.871, unweighted_recall: 0.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.5328, kappa: 0.3784, kb_relative_information_score: 0.3268, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5582, number_of_instances: 6118, precision: 0.5321, predictive_accuracy: 0.5582, prior_entropy: 2.3, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.8714, unweighted_recall: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.5636, kappa: 0.4207, kb_relative_information_score: 0.3628, mean_absolute_error: 0.1838, 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: 0.733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8588, unweighted_recall: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.5447, kappa: 0.3957, kb_relative_information_score: 0.3467, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5655, number_of_instances: 6118, precision: 0.5392, predictive_accuracy: 0.5655, prior_entropy: 2.3, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.8681, unweighted_recall: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.5559, kappa: 0.4104, kb_relative_information_score: 0.3783, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5698, number_of_instances: 6118, precision: 0.5493, predictive_accuracy: 0.5698, prior_entropy: 2.3, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.8738, unweighted_recall: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.5398, kappa: 0.3892, kb_relative_information_score: 0.3575, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5579, number_of_instances: 6118, precision: 0.5325, predictive_accuracy: 0.5579, prior_entropy: 2.3, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.8789, unweighted_recall: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.5609, kappa: 0.418, kb_relative_information_score: 0.3655, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5807, number_of_instances: 6118, precision: 0.5566, predictive_accuracy: 0.5807, prior_entropy: 2.3, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8543, unweighted_recall: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.5437, kappa: 0.3954, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5652, number_of_instances: 6118, precision: 0.5381, predictive_accuracy: 0.5652, prior_entropy: 2.3, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.8702, unweighted_recall: 0.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.5427, kappa: 0.392, kb_relative_information_score: 0.3277, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5693, number_of_instances: 6118, precision: 0.5433, predictive_accuracy: 0.5693, prior_entropy: 2.3, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.8661, unweighted_recall: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.5619, kappa: 0.4187, kb_relative_information_score: 0.3911, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5754, number_of_instances: 6118, precision: 0.5554, predictive_accuracy: 0.5754, prior_entropy: 2.3, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.307, root_relative_squared_error: 0.867, unweighted_recall: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.4997, kappa: 0.3342, kb_relative_information_score: 0.3055, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5217, number_of_instances: 6118, precision: 0.4921, predictive_accuracy: 0.5217, prior_entropy: 2.3, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9125, unweighted_recall: 0.3821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.5362, kappa: 0.3837, kb_relative_information_score: 0.3602, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5512, number_of_instances: 6118, precision: 0.5287, predictive_accuracy: 0.5512, prior_entropy: 2.3, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.892, unweighted_recall: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.5502, kappa: 0.4033, kb_relative_information_score: 0.3685, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5647, number_of_instances: 6118, precision: 0.5433, predictive_accuracy: 0.5647, prior_entropy: 2.3, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.8823, unweighted_recall: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.5595, kappa: 0.4147, kb_relative_information_score: 0.3499, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5817, number_of_instances: 6118, precision: 0.5577, predictive_accuracy: 0.5817, prior_entropy: 2.3, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.8556, unweighted_recall: 0.4439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.5559, kappa: 0.4113, kb_relative_information_score: 0.3794, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5726, number_of_instances: 6118, precision: 0.5488, predictive_accuracy: 0.5726, prior_entropy: 2.3, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.864, unweighted_recall: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.5546, kappa: 0.4086, kb_relative_information_score: 0.3885, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5682, number_of_instances: 6118, precision: 0.5477, predictive_accuracy: 0.5682, prior_entropy: 2.3, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.309, root_relative_squared_error: 0.8726, unweighted_recall: 0.4452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.5715, kappa: 0.4317, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5886, number_of_instances: 6118, precision: 0.5666, predictive_accuracy: 0.5886, prior_entropy: 2.3, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.8524, unweighted_recall: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.5435, kappa: 0.394, kb_relative_information_score: 0.3596, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2508, weighted_recall: 0.56, number_of_instances: 6118, precision: 0.5363, predictive_accuracy: 0.56, prior_entropy: 2.3, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.8769, unweighted_recall: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.5401, kappa: 0.3893, kb_relative_information_score: 0.3669, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5541, number_of_instances: 6118, precision: 0.5324, predictive_accuracy: 0.5541, prior_entropy: 2.3, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9022, unweighted_recall: 0.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.5549, kappa: 0.4095, kb_relative_information_score: 0.3865, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5696, number_of_instances: 6118, precision: 0.5475, predictive_accuracy: 0.5696, prior_entropy: 2.3, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.8808, unweighted_recall: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.5577, kappa: 0.414, kb_relative_information_score: 0.3494, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5799, number_of_instances: 6118, precision: 0.5538, predictive_accuracy: 0.5799, prior_entropy: 2.3, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8588, unweighted_recall: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.5616, kappa: 0.4179, kb_relative_information_score: 0.363, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5809, number_of_instances: 6118, precision: 0.5581, predictive_accuracy: 0.5809, prior_entropy: 2.3, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.8556, unweighted_recall: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.5463, kappa: 0.3979, kb_relative_information_score: 0.3625, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5624, number_of_instances: 6118, precision: 0.5388, predictive_accuracy: 0.5624, prior_entropy: 2.3, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.881, unweighted_recall: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.5503, kappa: 0.4033, kb_relative_information_score: 0.3453, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5714, number_of_instances: 6118, precision: 0.5452, predictive_accuracy: 0.5714, prior_entropy: 2.3, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.8635, unweighted_recall: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5706, kappa: 0.4305, kb_relative_information_score: 0.3822, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5865, number_of_instances: 6118, precision: 0.5646, predictive_accuracy: 0.5865, prior_entropy: 2.3, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.301, root_relative_squared_error: 0.85, unweighted_recall: 0.4583,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.5489, kappa: 0.4013, kb_relative_information_score: 0.3423, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5718, number_of_instances: 6118, precision: 0.5451, predictive_accuracy: 0.5718, prior_entropy: 2.3, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.8655, unweighted_recall: 0.433,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5539, kappa: 0.4081, kb_relative_information_score: 0.3756, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5693, number_of_instances: 6118, precision: 0.5469, predictive_accuracy: 0.5693, prior_entropy: 2.3, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.872, unweighted_recall: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.5739, kappa: 0.4346, kb_relative_information_score: 0.3803, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5928, number_of_instances: 6118, precision: 0.5699, predictive_accuracy: 0.5928, prior_entropy: 2.3, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8488, unweighted_recall: 0.4612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.5487, kappa: 0.4018, kb_relative_information_score: 0.3733, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2508, weighted_recall: 0.566, number_of_instances: 6118, precision: 0.5411, predictive_accuracy: 0.566, prior_entropy: 2.3, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.8779, unweighted_recall: 0.4314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5468, kappa: 0.3986, kb_relative_information_score: 0.3454, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5683, number_of_instances: 6118, precision: 0.5422, predictive_accuracy: 0.5683, prior_entropy: 2.3, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8676, unweighted_recall: 0.4303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.5694, kappa: 0.4294, kb_relative_information_score: 0.3919, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5852, number_of_instances: 6118, precision: 0.5628, predictive_accuracy: 0.5852, prior_entropy: 2.3, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.8562, unweighted_recall: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.5724, kappa: 0.4327, kb_relative_information_score: 0.3828, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5886, number_of_instances: 6118, precision: 0.5666, predictive_accuracy: 0.5886, prior_entropy: 2.3, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.8536, unweighted_recall: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.5257, kappa: 0.3703, kb_relative_information_score: 0.343, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5428, number_of_instances: 6118, precision: 0.5174, predictive_accuracy: 0.5428, prior_entropy: 2.3, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.906, unweighted_recall: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.5396, kappa: 0.3897, kb_relative_information_score: 0.3517, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5597, number_of_instances: 6118, precision: 0.533, predictive_accuracy: 0.5597, prior_entropy: 2.3, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.8731, unweighted_recall: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.556, kappa: 0.4103, kb_relative_information_score: 0.3357, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5804, number_of_instances: 6118, precision: 0.5555, predictive_accuracy: 0.5804, prior_entropy: 2.3, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.8601, unweighted_recall: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.5507, kappa: 0.4038, kb_relative_information_score: 0.376, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5636, number_of_instances: 6118, precision: 0.5439, predictive_accuracy: 0.5636, prior_entropy: 2.3, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.8806, unweighted_recall: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.5353, kappa: 0.383, kb_relative_information_score: 0.3211, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5628, number_of_instances: 6118, precision: 0.534, predictive_accuracy: 0.5628, prior_entropy: 2.3, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.8719, unweighted_recall: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.539, kappa: 0.3876, kb_relative_information_score: 0.3572, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5564, number_of_instances: 6118, precision: 0.5318, predictive_accuracy: 0.5564, prior_entropy: 2.3, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.319, root_relative_squared_error: 0.9009, unweighted_recall: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.5511, kappa: 0.4045, kb_relative_information_score: 0.385, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5634, number_of_instances: 6118, precision: 0.5439, predictive_accuracy: 0.5634, prior_entropy: 2.3, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.8875, unweighted_recall: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.4094, kappa: 0.2047, kb_relative_information_score: 0.1885, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4905, number_of_instances: 6118, precision: 0.4881, predictive_accuracy: 0.4905, prior_entropy: 2.3, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.9231, unweighted_recall: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.5598, kappa: 0.416, kb_relative_information_score: 0.3603, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5796, number_of_instances: 6118, precision: 0.5558, predictive_accuracy: 0.5796, prior_entropy: 2.3, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8574, unweighted_recall: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.5611, kappa: 0.417, kb_relative_information_score: 0.3842, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5758, number_of_instances: 6118, precision: 0.5547, predictive_accuracy: 0.5758, prior_entropy: 2.3, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.8602, unweighted_recall: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.5351, kappa: 0.383, kb_relative_information_score: 0.338, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5546, number_of_instances: 6118, precision: 0.5281, predictive_accuracy: 0.5546, prior_entropy: 2.3, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.8939, unweighted_recall: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.5528, kappa: 0.407, kb_relative_information_score: 0.3838, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5657, number_of_instances: 6118, precision: 0.5455, predictive_accuracy: 0.5657, prior_entropy: 2.3, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.312, root_relative_squared_error: 0.8813, unweighted_recall: 0.4402,

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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