Task
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18740 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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18740 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.4142, kappa: 0.2145, kb_relative_information_score: 1761.7617, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4391, predictive_accuracy: 0.4819, prior_entropy: 2.3005, recall: 0.4819, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4156, root_relative_squared_error: 1.1737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.4421, kappa: 0.2558, kb_relative_information_score: 1959.4034, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.47, predictive_accuracy: 0.5093, prior_entropy: 2.3005, recall: 0.5093, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.3916, kappa: 0.1819, kb_relative_information_score: 1462.0151, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3832, predictive_accuracy: 0.4144, prior_entropy: 2.3005, recall: 0.4144, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.3572, kappa: 0.1417, kb_relative_information_score: 1174.0463, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3579, predictive_accuracy: 0.371, prior_entropy: 2.3005, recall: 0.371, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.2932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.3727, kappa: 0.1664, kb_relative_information_score: 1258.5342, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3704, predictive_accuracy: 0.3792, prior_entropy: 2.3005, recall: 0.3792, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.2847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.2341, kappa: -0.0379, kb_relative_information_score: 383.9387, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2242, predictive_accuracy: 0.2594, prior_entropy: 2.3005, recall: 0.2594, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1096.5109, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.3542, kappa: 0.1419, kb_relative_information_score: 1183.6065, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3527, predictive_accuracy: 0.3746, prior_entropy: 2.3005, recall: 0.3746, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.5395, kappa: 0.3885, kb_relative_information_score: 2491.4129, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5376, predictive_accuracy: 0.558, prior_entropy: 2.3005, recall: 0.558, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, kappa: 0.0674, kb_relative_information_score: 1298.0992, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4412, prior_entropy: 2.3005, recall: 0.4412, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.3561, kappa: 0.1336, kb_relative_information_score: 1518.6818, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4251, predictive_accuracy: 0.4609, prior_entropy: 2.3005, recall: 0.4609, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.3289, kappa: 0.1023, kb_relative_information_score: 980.9142, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3354, predictive_accuracy: 0.3379, prior_entropy: 2.3005, recall: 0.3379, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.2317, kappa: -0.0431, kb_relative_information_score: 356.1641, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2197, predictive_accuracy: 0.2534, prior_entropy: 2.3005, recall: 0.2534, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.5523, kappa: 0.4024, kb_relative_information_score: 2624.6344, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5569, predictive_accuracy: 0.5789, prior_entropy: 2.3005, recall: 0.5789, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.3443, kappa: 0.1231, kb_relative_information_score: 1092.7317, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3466, predictive_accuracy: 0.3567, prior_entropy: 2.3005, recall: 0.3567, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4631, root_relative_squared_error: 1.3079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.25, kappa: -0.0223, kb_relative_information_score: 493.7733, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2384, predictive_accuracy: 0.2772, prior_entropy: 2.3005, recall: 0.2772, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.5084, kappa: 0.3437, kb_relative_information_score: 2295.4544, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5144, predictive_accuracy: 0.5387, prior_entropy: 2.3005, recall: 0.5387, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.4187, kappa: 0.2173, kb_relative_information_score: 1807.316, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4609, predictive_accuracy: 0.491, prior_entropy: 2.3005, recall: 0.491, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4119, root_relative_squared_error: 1.1633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, kappa: 0.0518, kb_relative_information_score: 1249.8971, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.434, prior_entropy: 2.3005, recall: 0.434, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0002, kb_relative_information_score: 1095.6241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4173, prior_entropy: 2.3005, recall: 0.4173, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.3646, kappa: 0.154, kb_relative_information_score: 1242.1835, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3639, predictive_accuracy: 0.3756, prior_entropy: 2.3005, recall: 0.3756, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4562, root_relative_squared_error: 1.2885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5345, kappa: 0.3764, kb_relative_information_score: 2503.1387, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5396, predictive_accuracy: 0.5619, prior_entropy: 2.3005, recall: 0.5619, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3821, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.2796, kappa: 0.0268, kb_relative_information_score: 646.2933, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2769, predictive_accuracy: 0.2914, prior_entropy: 2.3005, recall: 0.2914, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.486, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.5197, kappa: 0.3547, kb_relative_information_score: 2410.1533, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5325, predictive_accuracy: 0.5531, prior_entropy: 2.3005, recall: 0.5531, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.386, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, kappa: 0.0512, kb_relative_information_score: 1259.5977, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4369, prior_entropy: 2.3005, recall: 0.4369, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1096.5109, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.4952, kappa: 0.3243, kb_relative_information_score: 2214.6622, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5041, predictive_accuracy: 0.5299, prior_entropy: 2.3005, recall: 0.5299, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1096.5109, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.4064, kappa: 0.2031, kb_relative_information_score: 1567.0492, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4012, predictive_accuracy: 0.4253, prior_entropy: 2.3005, recall: 0.4253, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.5712, kappa: 0.4312, kb_relative_information_score: 2713.0422, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5666, predictive_accuracy: 0.585, prior_entropy: 2.3005, recall: 0.585, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.5214, kappa: 0.3586, kb_relative_information_score: 2432.3259, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5428, predictive_accuracy: 0.5602, prior_entropy: 2.3005, recall: 0.5602, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3829, root_relative_squared_error: 1.0814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, kappa: 0.0438, kb_relative_information_score: 1233.0068, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4338, prior_entropy: 2.3005, recall: 0.4338, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.3929, kappa: 0.186, kb_relative_information_score: 1433.3886, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3939, predictive_accuracy: 0.4109, prior_entropy: 2.3005, recall: 0.4109, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4431, root_relative_squared_error: 1.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.5426, kappa: 0.3931, kb_relative_information_score: 2502.9733, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5366, predictive_accuracy: 0.5566, prior_entropy: 2.3005, recall: 0.5566, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.0858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0564, kb_relative_information_score: 1273.2035, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4384, prior_entropy: 2.3005, recall: 0.4384, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4743, f_measure: 0.2279, kappa: -0.0467, kb_relative_information_score: 340.0616, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.216, predictive_accuracy: 0.2516, prior_entropy: 2.3005, recall: 0.2516, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.2441, kappa: -0.0231, kb_relative_information_score: 449.5078, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2584, predictive_accuracy: 0.2694, prior_entropy: 2.3005, recall: 0.2694, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.2202, kappa: -0.0469, kb_relative_information_score: 271.7619, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2177, predictive_accuracy: 0.2339, prior_entropy: 2.3005, recall: 0.2339, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.5382, kappa: 0.387, kb_relative_information_score: 2474.5009, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5336, predictive_accuracy: 0.5539, prior_entropy: 2.3005, recall: 0.5539, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3856, root_relative_squared_error: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kappa: 0.0017, kb_relative_information_score: 1097.2856, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4171, prior_entropy: 2.3005, recall: 0.4171, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.3996, kappa: 0.1902, kb_relative_information_score: 1565.4953, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.395, predictive_accuracy: 0.4369, prior_entropy: 2.3005, recall: 0.4369, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1096.5109, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.3767, kappa: 0.1602, kb_relative_information_score: 1366.6151, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3717, predictive_accuracy: 0.4037, prior_entropy: 2.3005, recall: 0.4037, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4458, root_relative_squared_error: 1.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.1705, kappa: -0.0521, kb_relative_information_score: -65.9271, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.1951, predictive_accuracy: 0.1685, prior_entropy: 2.3005, recall: 0.1685, relative_absolute_error: 1.1053, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4679, f_measure: 0.2223, kappa: -0.0554, kb_relative_information_score: 319.6938, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2288, predictive_accuracy: 0.2465, prior_entropy: 2.3005, recall: 0.2465, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.4132, kappa: 0.213, kb_relative_information_score: 1754.0606, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4373, predictive_accuracy: 0.4807, prior_entropy: 2.3005, recall: 0.4807, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.416, root_relative_squared_error: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.3325, kappa: 0.1109, kb_relative_information_score: 1462.637, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4183, predictive_accuracy: 0.4598, prior_entropy: 2.3005, recall: 0.4598, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.1985,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.5145, kappa: 0.3473, kb_relative_information_score: 2380.0311, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5294, predictive_accuracy: 0.5497, prior_entropy: 2.3005, recall: 0.5497, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.0942,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.2468, kappa: -0.0245, kb_relative_information_score: 472.0581, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2382, predictive_accuracy: 0.273, prior_entropy: 2.3005, recall: 0.273, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4721, f_measure: 0.2231, kappa: -0.0482, kb_relative_information_score: 291.7778, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2263, predictive_accuracy: 0.2403, prior_entropy: 2.3005, recall: 0.2403, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.4213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.5749, kappa: 0.4354, kb_relative_information_score: 2733.3155, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5705, predictive_accuracy: 0.5852, prior_entropy: 2.3005, recall: 0.5852, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5346, kappa: 0.3811, kb_relative_information_score: 2461.6275, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5336, predictive_accuracy: 0.5539, prior_entropy: 2.3005, recall: 0.5539, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3856, root_relative_squared_error: 1.089,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1096.5109, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.5398, kappa: 0.3887, kb_relative_information_score: 2473.686, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5342, predictive_accuracy: 0.5505, prior_entropy: 2.3005, recall: 0.5505, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.528, kappa: 0.3721, kb_relative_information_score: 2387.6694, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5308, predictive_accuracy: 0.5273, prior_entropy: 2.3005, recall: 0.5273, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3969, root_relative_squared_error: 1.1211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, kappa: 0.0545, kb_relative_information_score: 1256.3809, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4346, prior_entropy: 2.3005, recall: 0.4346, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.3791, kappa: 0.1736, kb_relative_information_score: 1378.1755, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3783, predictive_accuracy: 0.4029, prior_entropy: 2.3005, recall: 0.4029, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4461, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, kappa: 0.0949, kb_relative_information_score: 1328.4155, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4333, prior_entropy: 2.3005, recall: 0.4333, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.3389, kappa: 0.1188, kb_relative_information_score: 1489.1505, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4229, predictive_accuracy: 0.4631, prior_entropy: 2.3005, recall: 0.4631, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.1948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, kappa: 0.1673, kb_relative_information_score: 1626.2126, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4706, prior_entropy: 2.3005, recall: 0.4706, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1096.5109, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.4024, kappa: 0.2026, kb_relative_information_score: 1722.7919, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4369, predictive_accuracy: 0.4797, prior_entropy: 2.3005, recall: 0.4797, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1761,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs