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: 0.4804, f_measure: 0.2346, kappa: -0.0354, kb_relative_information_score: 374.4831, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2343, predictive_accuracy: 0.2576, prior_entropy: 2.3005, recall: 0.2576, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, kappa: 0.1412, kb_relative_information_score: 1507.4621, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4616, prior_entropy: 2.3005, recall: 0.4616, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.452, kappa: 0.2694, kb_relative_information_score: 2010.9532, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.496, predictive_accuracy: 0.5132, prior_entropy: 2.3005, recall: 0.5132, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.1376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.3294, kappa: 0.0981, kb_relative_information_score: 1005.6419, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3276, predictive_accuracy: 0.346, prior_entropy: 2.3005, recall: 0.346, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.4265, kappa: 0.2283, kb_relative_information_score: 1837.5756, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4595, predictive_accuracy: 0.4926, prior_entropy: 2.3005, recall: 0.4926, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.1614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.5669, kappa: 0.4245, kb_relative_information_score: 2661.4448, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.565, predictive_accuracy: 0.5709, prior_entropy: 2.3005, recall: 0.5709, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3782, root_relative_squared_error: 1.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.5687, kappa: 0.4263, kb_relative_information_score: 2676.5119, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5695, predictive_accuracy: 0.5693, prior_entropy: 2.3005, recall: 0.5693, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.0701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.224, kappa: -0.0482, kb_relative_information_score: 288.292, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2153, predictive_accuracy: 0.2431, prior_entropy: 2.3005, recall: 0.2431, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.5598, kappa: 0.4152, kb_relative_information_score: 2655.2404, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5582, predictive_accuracy: 0.5806, prior_entropy: 2.3005, recall: 0.5806, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, kappa: 0.0598, kb_relative_information_score: 1282.0292, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4395, prior_entropy: 2.3005, recall: 0.4395, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.2207,
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: 0.6595, f_measure: 0.4932, kappa: 0.3219, kb_relative_information_score: 2196.8957, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5006, 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: 0.6643, f_measure: 0.4977, kappa: 0.329, kb_relative_information_score: 2221.7586, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5031, predictive_accuracy: 0.5302, prior_entropy: 2.3005, recall: 0.5302, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3957, root_relative_squared_error: 1.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.5376, kappa: 0.3858, kb_relative_information_score: 2482.098, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5357, predictive_accuracy: 0.557, prior_entropy: 2.3005, recall: 0.557, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5138, kappa: 0.3468, kb_relative_information_score: 2366.9477, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5253, predictive_accuracy: 0.5474, prior_entropy: 2.3005, recall: 0.5474, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3884, root_relative_squared_error: 1.097,
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: 0.6585, f_measure: 0.4929, kappa: 0.3237, kb_relative_information_score: 2223.1356, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5196, predictive_accuracy: 0.5333, prior_entropy: 2.3005, recall: 0.5333, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.5696, kappa: 0.4273, kb_relative_information_score: 2688.9831, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.571, predictive_accuracy: 0.5695, prior_entropy: 2.3005, recall: 0.5695, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.0699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.2112, kappa: -0.0197, kb_relative_information_score: 141.6324, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2348, predictive_accuracy: 0.2059, prior_entropy: 2.3005, recall: 0.2059, relative_absolute_error: 1.0555, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.3149, kappa: 0.0832, kb_relative_information_score: 976.9546, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3008, predictive_accuracy: 0.3506, prior_entropy: 2.3005, recall: 0.3506, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.314,
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: 0.4817, f_measure: 0.2332, kappa: -0.0338, kb_relative_information_score: 355.0006, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2251, predictive_accuracy: 0.253, prior_entropy: 2.3005, recall: 0.253, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.499, root_relative_squared_error: 1.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.5559, kappa: 0.4098, kb_relative_information_score: 2630.4593, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5565, predictive_accuracy: 0.5788, prior_entropy: 2.3005, recall: 0.5788, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3747, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, kappa: 0.0644, kb_relative_information_score: 1291.6852, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4405, prior_entropy: 2.3005, recall: 0.4405, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.2197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, f_measure: 0.1711, kappa: -0.0532, kb_relative_information_score: -61.0905, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.1948, predictive_accuracy: 0.1697, prior_entropy: 2.3005, recall: 0.1697, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, kappa: 0.1627, kb_relative_information_score: 1592.0559, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4719, prior_entropy: 2.3005, recall: 0.4719, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.3621, kappa: 0.1477, kb_relative_information_score: 1199.6968, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3648, predictive_accuracy: 0.3728, prior_entropy: 2.3005, recall: 0.3728, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5328, kappa: 0.3797, kb_relative_information_score: 2439.7672, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5291, 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,
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: 0.4775, f_measure: 0.2225, kappa: -0.0414, kb_relative_information_score: 292.6, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2163, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.2759, kappa: 0.0396, kb_relative_information_score: 658.8987, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2757, predictive_accuracy: 0.2941, prior_entropy: 2.3005, recall: 0.2941, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.3985, kappa: 0.1942, kb_relative_information_score: 1741.5409, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4334, 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: 0.5347, kappa: 0.0787, kb_relative_information_score: 1330.8142, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4444, prior_entropy: 2.3005, recall: 0.4444, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4303, root_relative_squared_error: 1.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.3871, kappa: 0.1769, kb_relative_information_score: 1683.1436, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4321, predictive_accuracy: 0.481, prior_entropy: 2.3005, recall: 0.481, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5706, kappa: 0.4289, kb_relative_information_score: 2694.5189, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5697, predictive_accuracy: 0.5727, prior_entropy: 2.3005, recall: 0.5727, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3774, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.5023, kappa: 0.3357, kb_relative_information_score: 2256.2725, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5089, predictive_accuracy: 0.5348, prior_entropy: 2.3005, recall: 0.5348, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, kappa: 0.0701, kb_relative_information_score: 1280.6039, 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: 0.7107, f_measure: 0.5624, kappa: 0.418, kb_relative_information_score: 2680.7171, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5606, predictive_accuracy: 0.583, prior_entropy: 2.3005, recall: 0.583, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5422, kappa: 0.393, kb_relative_information_score: 2528.3567, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5458, predictive_accuracy: 0.5664, prior_entropy: 2.3005, recall: 0.5664, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, kappa: 0.0159, kb_relative_information_score: 1141.6639, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.423, prior_entropy: 2.3005, recall: 0.423, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.5108, kappa: 0.3474, kb_relative_information_score: 2311.8042, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5145, predictive_accuracy: 0.5397, prior_entropy: 2.3005, recall: 0.5397, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3917, root_relative_squared_error: 1.1063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, kappa: 0.0152, kb_relative_information_score: 1141.056, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.422, prior_entropy: 2.3005, recall: 0.422, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, kappa: 0.0582, kb_relative_information_score: 1278.0248, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.439, prior_entropy: 2.3005, recall: 0.439, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.2213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.5673, kappa: 0.4246, kb_relative_information_score: 2663.7203, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5684, predictive_accuracy: 0.5678, prior_entropy: 2.3005, recall: 0.5678, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3795, root_relative_squared_error: 1.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.4042, kappa: 0.2026, kb_relative_information_score: 1755.0352, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4507, predictive_accuracy: 0.4866, prior_entropy: 2.3005, recall: 0.4866, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.3475, kappa: 0.1327, kb_relative_information_score: 1146.7279, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3581, predictive_accuracy: 0.3684, prior_entropy: 2.3005, recall: 0.3684, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.3737, kappa: 0.161, kb_relative_information_score: 1296.2763, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3669, predictive_accuracy: 0.3893, prior_entropy: 2.3005, recall: 0.3893, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.2742,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.005, kb_relative_information_score: 1109.2701, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4189, prior_entropy: 2.3005, recall: 0.4189, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, kappa: 0.0839, kb_relative_information_score: 1344.5165, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4451, prior_entropy: 2.3005, recall: 0.4451, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.437, kappa: 0.242, kb_relative_information_score: 1897.5453, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4706, predictive_accuracy: 0.5005, prior_entropy: 2.3005, recall: 0.5005, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.408, root_relative_squared_error: 1.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5341, kappa: 0.3805, kb_relative_information_score: 2457.578, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5334, 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: 0.5187, f_measure: 0.2855, kappa: 0.0382, kb_relative_information_score: 1032.1064, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2976, predictive_accuracy: 0.3884, prior_entropy: 2.3005, recall: 0.3884, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.3391, kappa: 0.1176, kb_relative_information_score: 1029.8513, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3438, predictive_accuracy: 0.3446, prior_entropy: 2.3005, recall: 0.3446, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4674, root_relative_squared_error: 1.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.2894, kappa: 0.0577, kb_relative_information_score: 798.9627, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3387, predictive_accuracy: 0.3256, prior_entropy: 2.3005, recall: 0.3256, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.241, kappa: -0.0187, kb_relative_information_score: 412.4785, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2335, predictive_accuracy: 0.2597, prior_entropy: 2.3005, recall: 0.2597, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, kappa: 0.1778, kb_relative_information_score: 1504.6382, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4416, prior_entropy: 2.3005, recall: 0.4416, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.2184,

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