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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18738 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.5777, kappa: 0.4409, kb_relative_information_score: 0.4514, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5721, predictive_accuracy: 0.5938, prior_entropy: 2.3, recall: 0.5938, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.368, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.5844, kappa: 0.4492, kb_relative_information_score: 0.4602, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5793, predictive_accuracy: 0.5999, prior_entropy: 2.3, recall: 0.5999, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.5806, kappa: 0.4446, kb_relative_information_score: 0.4555, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5754, predictive_accuracy: 0.5968, prior_entropy: 2.3, recall: 0.5968, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.5277, kappa: 0.3721, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5263, predictive_accuracy: 0.5526, prior_entropy: 2.3, recall: 0.5526, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.5327, kappa: 0.3805, kb_relative_information_score: 0.4011, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5329, predictive_accuracy: 0.5566, prior_entropy: 2.3, 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: 0.6909, f_measure: 0.5289, kappa: 0.3753, kb_relative_information_score: 0.3976, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5275, predictive_accuracy: 0.5548, prior_entropy: 2.3, recall: 0.5548, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3852, root_relative_squared_error: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.5801, kappa: 0.444, kb_relative_information_score: 0.4544, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5743, predictive_accuracy: 0.5953, prior_entropy: 2.3, recall: 0.5953, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3673, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.5789, kappa: 0.4419, kb_relative_information_score: 0.453, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5743, predictive_accuracy: 0.5945, prior_entropy: 2.3, recall: 0.5945, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3677, root_relative_squared_error: 1.0384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.4701, kappa: 0.2924, kb_relative_information_score: 0.3148, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4969, predictive_accuracy: 0.456, prior_entropy: 2.3, recall: 0.456, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4258, root_relative_squared_error: 1.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.5807, kappa: 0.4449, kb_relative_information_score: 0.4545, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.575, predictive_accuracy: 0.5956, prior_entropy: 2.3, recall: 0.5956, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.5298, kappa: 0.3756, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5286, predictive_accuracy: 0.5544, prior_entropy: 2.3, recall: 0.5544, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.5852, kappa: 0.4504, kb_relative_information_score: 0.4606, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5808, predictive_accuracy: 0.6007, prior_entropy: 2.3, recall: 0.6007, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3648, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.5836, kappa: 0.4484, kb_relative_information_score: 0.4585, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5782, predictive_accuracy: 0.5991, prior_entropy: 2.3, recall: 0.5991, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.5812, kappa: 0.4456, kb_relative_information_score: 0.4559, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5762, predictive_accuracy: 0.5979, prior_entropy: 2.3, recall: 0.5979, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.5815, kappa: 0.4454, kb_relative_information_score: 0.4571, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5761, predictive_accuracy: 0.5968, prior_entropy: 2.3, recall: 0.5968, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.5831, kappa: 0.4479, kb_relative_information_score: 0.4585, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5775, predictive_accuracy: 0.5986, prior_entropy: 2.3, recall: 0.5986, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.595, kappa: 0.4628, kb_relative_information_score: 0.4509, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5901, predictive_accuracy: 0.6043, prior_entropy: 2.3, recall: 0.6043, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.8519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.4935, kappa: 0.3253, kb_relative_information_score: 0.2569, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.514, predictive_accuracy: 0.5379, prior_entropy: 2.3, recall: 0.5379, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.6164, kappa: 0.4916, kb_relative_information_score: 0.4822, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6115, predictive_accuracy: 0.626, prior_entropy: 2.3, recall: 0.626, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.6196, kappa: 0.4963, kb_relative_information_score: 0.4864, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6147, predictive_accuracy: 0.629, prior_entropy: 2.3, recall: 0.629, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.4863, kappa: 0.3151, kb_relative_information_score: 0.2502, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5095, predictive_accuracy: 0.5329, prior_entropy: 2.3, recall: 0.5329, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.5989, kappa: 0.4684, kb_relative_information_score: 0.4444, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5937, predictive_accuracy: 0.6097, prior_entropy: 2.3, recall: 0.6097, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.4254, kappa: 0.224, kb_relative_information_score: 1039.8621, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.458, predictive_accuracy: 0.489, prior_entropy: 2.3005, recall: 0.489, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.5241, kappa: 0.3623, kb_relative_information_score: 1795.58, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5439, predictive_accuracy: 0.5626, prior_entropy: 2.3005, recall: 0.5626, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, kappa: -0.0006, kb_relative_information_score: 233.7278, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4161, prior_entropy: 2.3005, recall: 0.4161, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, kappa: 0.0962, kb_relative_information_score: 672.9467, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4457, prior_entropy: 2.3005, recall: 0.4457, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.6142, kappa: 0.4886, kb_relative_information_score: 0.4935, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6096, predictive_accuracy: 0.6213, prior_entropy: 2.3, recall: 0.6213, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.5983, kappa: 0.468, kb_relative_information_score: 0.4192, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5934, predictive_accuracy: 0.6123, prior_entropy: 2.3, recall: 0.6123, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.6012, kappa: 0.4712, kb_relative_information_score: 0.4392, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.596, predictive_accuracy: 0.6118, prior_entropy: 2.3, recall: 0.6118, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.5756, kappa: 0.4367, kb_relative_information_score: 0.4453, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5715, predictive_accuracy: 0.5809, prior_entropy: 2.3, recall: 0.5809, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.5771, kappa: 0.4387, kb_relative_information_score: 0.4475, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.573, predictive_accuracy: 0.5824, prior_entropy: 2.3, recall: 0.5824, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.6097, kappa: 0.483, kb_relative_information_score: 0.4452, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6048, predictive_accuracy: 0.621, prior_entropy: 2.3, recall: 0.621, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.6016, kappa: 0.4727, kb_relative_information_score: 0.4067, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5985, predictive_accuracy: 0.6187, prior_entropy: 2.3, recall: 0.6187, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.6109, kappa: 0.4843, kb_relative_information_score: 0.4377, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6066, predictive_accuracy: 0.6229, prior_entropy: 2.3, recall: 0.6229, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.291, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.4609, kappa: 0.275, kb_relative_information_score: 0.2285, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5459, predictive_accuracy: 0.5311, prior_entropy: 2.3, recall: 0.5311, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.5818, kappa: 0.4463, kb_relative_information_score: 0.4566, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5765, predictive_accuracy: 0.5981, prior_entropy: 2.3, recall: 0.5981, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.366, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.5314, kappa: 0.3777, kb_relative_information_score: 0.4015, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5302, predictive_accuracy: 0.5559, prior_entropy: 2.3, recall: 0.5559, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.5885, kappa: 0.4545, kb_relative_information_score: 0.4651, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5834, predictive_accuracy: 0.6028, prior_entropy: 2.3, recall: 0.6028, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3639, root_relative_squared_error: 1.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.6067, kappa: 0.4782, kb_relative_information_score: 0.4921, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6019, predictive_accuracy: 0.6141, prior_entropy: 2.3, recall: 0.6141, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.5826, kappa: 0.445, kb_relative_information_score: 0.454, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5825, predictive_accuracy: 0.5834, prior_entropy: 2.3, recall: 0.5834, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5913, kappa: 0.4572, kb_relative_information_score: 0.466, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5886, predictive_accuracy: 0.5945, prior_entropy: 2.3, recall: 0.5945, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3677, root_relative_squared_error: 1.0384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.5985, kappa: 0.4689, kb_relative_information_score: 0.4256, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5931, predictive_accuracy: 0.6129, prior_entropy: 2.3, recall: 0.6129, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.5944, kappa: 0.4629, kb_relative_information_score: 0.4027, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.591, predictive_accuracy: 0.6115, prior_entropy: 2.3, recall: 0.6115, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.5834, kappa: 0.4485, kb_relative_information_score: 0.4594, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.579, predictive_accuracy: 0.6, prior_entropy: 2.3, recall: 0.6, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.5831, kappa: 0.4472, kb_relative_information_score: 0.458, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5774, predictive_accuracy: 0.5951, prior_entropy: 2.3, recall: 0.5951, relative_absolute_error: 0.5382, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3674, root_relative_squared_error: 1.0375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.586, kappa: 0.4513, kb_relative_information_score: 0.4618, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5809, predictive_accuracy: 0.6002, prior_entropy: 2.3, recall: 0.6002, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 108.8411, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.0032,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 11.2346, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.6096, kappa: 0.4832, kb_relative_information_score: 2558.4939, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6066, predictive_accuracy: 0.6262, prior_entropy: 2.3005, recall: 0.6262, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.6053, kappa: 0.478, kb_relative_information_score: 2538.7551, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6012, predictive_accuracy: 0.6216, prior_entropy: 2.3005, recall: 0.6216, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.5141, kappa: 0.3553, kb_relative_information_score: 2016.1271, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.507, predictive_accuracy: 0.5312, prior_entropy: 2.3005, recall: 0.5312, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 107.336, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.5114, kappa: 0.3516, kb_relative_information_score: 2021.6449, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5031, predictive_accuracy: 0.5315, prior_entropy: 2.3005, recall: 0.5315, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 70.7024, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3546, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.5667, kappa: 0.4268, kb_relative_information_score: 2200.2313, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.568, predictive_accuracy: 0.593, prior_entropy: 2.3005, recall: 0.593, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.6178, kappa: 0.4937, kb_relative_information_score: 2859.157, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6129, predictive_accuracy: 0.6265, prior_entropy: 2.3005, recall: 0.6265, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.55, kappa: 0.405, kb_relative_information_score: 2053.3182, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5566, predictive_accuracy: 0.5827, prior_entropy: 2.3005, recall: 0.5827, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.5661, kappa: 0.4255, kb_relative_information_score: 2203.0332, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5627, predictive_accuracy: 0.5874, prior_entropy: 2.3005, recall: 0.5874, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.6072, kappa: 0.4811, kb_relative_information_score: 2486.4014, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6031, predictive_accuracy: 0.6246, prior_entropy: 2.3005, recall: 0.6246, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.5502, kappa: 0.4045, kb_relative_information_score: 2022.4013, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5576, predictive_accuracy: 0.5825, prior_entropy: 2.3005, recall: 0.5825, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 32.2046, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.5144, kappa: 0.3565, kb_relative_information_score: 1963.0029, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5067, predictive_accuracy: 0.5391, prior_entropy: 2.3005, recall: 0.5391, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 26.9462, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 20.6431, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 12.4914, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 35.5273, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, kappa: 0.1549, kb_relative_information_score: 840.5414, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4681, prior_entropy: 2.3005, recall: 0.4681, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.4609, kappa: 0.288, kb_relative_information_score: 1417.0469, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4767, predictive_accuracy: 0.5162, prior_entropy: 2.3005, recall: 0.5162, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9083,

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