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: 0.5002, kappa: 0.0004, kb_relative_information_score: 1097.148, 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: 0.5857, f_measure: 0.3934, kappa: 0.1902, kb_relative_information_score: 1731.9248, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4852, predictive_accuracy: 0.4874, prior_entropy: 2.3005, recall: 0.4874, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.1674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.3725, kappa: 0.163, kb_relative_information_score: 1411.4855, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3692, predictive_accuracy: 0.4197, prior_entropy: 2.3005, recall: 0.4197, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4398, root_relative_squared_error: 1.2421,
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: 0.5, 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: 0.5211, kappa: 0.0491, kb_relative_information_score: 1249.3571, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4356, prior_entropy: 2.3005, recall: 0.4356, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.329, kappa: 0.1056, kb_relative_information_score: 1019.7915, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3223, predictive_accuracy: 0.3508, prior_entropy: 2.3005, recall: 0.3508, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.5188, kappa: 0.3535, kb_relative_information_score: 2406.9538, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5329, predictive_accuracy: 0.5533, prior_entropy: 2.3005, recall: 0.5533, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0035, kb_relative_information_score: 1104.1303, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4183, prior_entropy: 2.3005, recall: 0.4183, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.2437,
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: 0.4999, 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: 0.5259, kappa: 0.0597, kb_relative_information_score: 1281.4609, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4394, prior_entropy: 2.3005, recall: 0.4394, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.5423, kappa: 0.3905, kb_relative_information_score: 2551.1177, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5483, predictive_accuracy: 0.5719, prior_entropy: 2.3005, recall: 0.5719, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3777, root_relative_squared_error: 1.0669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.5127, kappa: 0.3505, kb_relative_information_score: 2320.0202, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5147, predictive_accuracy: 0.5402, prior_entropy: 2.3005, recall: 0.5402, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.3998, kappa: 0.1897, kb_relative_information_score: 1549.1827, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.394, predictive_accuracy: 0.4304, prior_entropy: 2.3005, recall: 0.4304, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4357, root_relative_squared_error: 1.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, kappa: 0.0868, kb_relative_information_score: 1342.4577, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4436, prior_entropy: 2.3005, recall: 0.4436, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.5625, kappa: 0.4181, kb_relative_information_score: 2621.7083, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5641, predictive_accuracy: 0.5626, prior_entropy: 2.3005, recall: 0.5626, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3818, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.2342, kappa: -0.0356, kb_relative_information_score: 379.705, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.22, predictive_accuracy: 0.2584, prior_entropy: 2.3005, recall: 0.2584, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.4042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.5629, kappa: 0.4185, kb_relative_information_score: 2669.6324, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5576, predictive_accuracy: 0.577, prior_entropy: 2.3005, recall: 0.577, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.2711, kappa: 0.0207, kb_relative_information_score: 732.2569, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2578, predictive_accuracy: 0.3197, prior_entropy: 2.3005, recall: 0.3197, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.239, kappa: -0.0314, kb_relative_information_score: 405.0928, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2259, predictive_accuracy: 0.262, prior_entropy: 2.3005, recall: 0.262, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.496, root_relative_squared_error: 1.4008,
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: 0.7017, f_measure: 0.5376, kappa: 0.3861, kb_relative_information_score: 2463.5393, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5323, predictive_accuracy: 0.5489, prior_entropy: 2.3005, recall: 0.5489, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3878, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.4875, kappa: 0.3132, kb_relative_information_score: 2174.6279, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5031, predictive_accuracy: 0.5283, prior_entropy: 2.3005, recall: 0.5283, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.41, kappa: 0.2101, kb_relative_information_score: 1749.9424, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4405, predictive_accuracy: 0.4825, prior_entropy: 2.3005, recall: 0.4825, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, kappa: 0.0618, kb_relative_information_score: 1285.714, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4398, prior_entropy: 2.3005, recall: 0.4398, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, kappa: 0.0614, kb_relative_information_score: 1275.9544, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4376, prior_entropy: 2.3005, recall: 0.4376, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.433, root_relative_squared_error: 1.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.24, kappa: -0.0342, kb_relative_information_score: 404.4596, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2399, predictive_accuracy: 0.2609, prior_entropy: 2.3005, recall: 0.2609, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.2412, kappa: -0.0362, kb_relative_information_score: 456.6531, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.231, predictive_accuracy: 0.2754, prior_entropy: 2.3005, recall: 0.2754, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, kappa: 0.0764, kb_relative_information_score: 1323.0474, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.443, prior_entropy: 2.3005, recall: 0.443, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.2383, kappa: -0.0358, kb_relative_information_score: 407.6971, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2288, predictive_accuracy: 0.2641, prior_entropy: 2.3005, recall: 0.2641, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.5034, kappa: 0.3367, kb_relative_information_score: 2262.3429, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5083, predictive_accuracy: 0.534, prior_entropy: 2.3005, recall: 0.534, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3941, root_relative_squared_error: 1.1131,
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: 0.5222, kappa: 0.0516, kb_relative_information_score: 1258.267, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4366, prior_entropy: 2.3005, recall: 0.4366, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4334, root_relative_squared_error: 1.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.4153, kappa: 0.2161, kb_relative_information_score: 1767.4623, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4395, predictive_accuracy: 0.4827, prior_entropy: 2.3005, recall: 0.4827, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.5066, kappa: 0.3419, kb_relative_information_score: 2283.4103, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5113, predictive_accuracy: 0.5378, prior_entropy: 2.3005, recall: 0.5378, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.1086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.3937, kappa: 0.1796, kb_relative_information_score: 1501.0992, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3901, predictive_accuracy: 0.4268, prior_entropy: 2.3005, recall: 0.4268, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.2345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4709, f_measure: 0.2248, kappa: -0.0492, kb_relative_information_score: 315.3916, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2196, predictive_accuracy: 0.2434, prior_entropy: 2.3005, recall: 0.2434, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.2417, kappa: -0.0242, kb_relative_information_score: 405.8168, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2313, predictive_accuracy: 0.2628, prior_entropy: 2.3005, recall: 0.2628, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.3868, kappa: 0.1793, kb_relative_information_score: 1657.5579, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4146, predictive_accuracy: 0.4774, prior_entropy: 2.3005, recall: 0.4774, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.5731, kappa: 0.4323, kb_relative_information_score: 2741.5389, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5677, 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: 0.6871, f_measure: 0.5276, kappa: 0.372, kb_relative_information_score: 2430.6314, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5346, predictive_accuracy: 0.5551, prior_entropy: 2.3005, recall: 0.5551, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.4135, kappa: 0.2118, kb_relative_information_score: 1781.8207, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4516, predictive_accuracy: 0.4877, prior_entropy: 2.3005, recall: 0.4877, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, kappa: 0.1449, kb_relative_information_score: 1527.779, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4647, prior_entropy: 2.3005, recall: 0.4647, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.4962, kappa: 0.3272, kb_relative_information_score: 2210.5917, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5002, predictive_accuracy: 0.5284, prior_entropy: 2.3005, recall: 0.5284, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.1197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.5284, kappa: 0.3676, kb_relative_information_score: 2465.379, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5368, predictive_accuracy: 0.5587, prior_entropy: 2.3005, recall: 0.5587, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3835, root_relative_squared_error: 1.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.3953, kappa: 0.1892, kb_relative_information_score: 1729.6103, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4369, predictive_accuracy: 0.4856, prior_entropy: 2.3005, recall: 0.4856, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.1695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, kappa: 0.0596, kb_relative_information_score: 1275.7096, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4379, prior_entropy: 2.3005, recall: 0.4379, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.2225,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.27, kappa: 0.0208, kb_relative_information_score: 573.1309, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2628, predictive_accuracy: 0.2878, prior_entropy: 2.3005, recall: 0.2878, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.3784, kappa: 0.1706, kb_relative_information_score: 1602.2881, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4039, predictive_accuracy: 0.4694, prior_entropy: 2.3005, recall: 0.4694, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.1877,
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: 0.4725, f_measure: 0.2265, kappa: -0.0496, kb_relative_information_score: 350.7288, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2114, predictive_accuracy: 0.2547, prior_entropy: 2.3005, recall: 0.2547, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.5812, kappa: 0.4435, kb_relative_information_score: 2785.0962, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5771, predictive_accuracy: 0.5894, prior_entropy: 2.3005, recall: 0.5894, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.37, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.001, kb_relative_information_score: 1092.0769, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4166, prior_entropy: 2.3005, recall: 0.4166, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.441, root_relative_squared_error: 1.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, kappa: 0.0121, kb_relative_information_score: 1130.5376, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4217, prior_entropy: 2.3005, recall: 0.4217, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.439, root_relative_squared_error: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, kappa: 0.0598, kb_relative_information_score: 1281.4609, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4394, prior_entropy: 2.3005, recall: 0.4394, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.2209,

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