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: 0.8631, f_measure: 0.5986, kappa: 0.4691, kb_relative_information_score: 2509.9832, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5931, predictive_accuracy: 0.6139, prior_entropy: 2.3005, recall: 0.6139, relative_absolute_error: 0.6808, 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: 0.846, f_measure: 0.6053, kappa: 0.4759, kb_relative_information_score: 207.1736, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6027, predictive_accuracy: 0.6108, prior_entropy: 2.3005, recall: 0.6108, relative_absolute_error: 1.1029, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.4983, kappa: 0.3366, kb_relative_information_score: 183.3453, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.512, predictive_accuracy: 0.5404, prior_entropy: 2.3005, recall: 0.5404, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.5501, kappa: 0.4052, kb_relative_information_score: 2012.544, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5577, predictive_accuracy: 0.5824, prior_entropy: 2.3005, recall: 0.5824, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.584, kappa: 0.4495, kb_relative_information_score: 2358.6766, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5829, predictive_accuracy: 0.6062, prior_entropy: 2.3005, recall: 0.6062, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.6078, kappa: 0.48, kb_relative_information_score: 3043.9197, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6057, predictive_accuracy: 0.6198, prior_entropy: 2.3005, recall: 0.6198, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.6026, kappa: 0.4726, kb_relative_information_score: 2952.3566, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5986, predictive_accuracy: 0.6125, prior_entropy: 2.3005, recall: 0.6125, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.573, kappa: 0.4356, kb_relative_information_score: 2207.245, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5744, predictive_accuracy: 0.5989, prior_entropy: 2.3005, recall: 0.5989, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.3934, kappa: 0.2075, kb_relative_information_score: 179.0246, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4205, predictive_accuracy: 0.4685, prior_entropy: 2.3005, recall: 0.4685, relative_absolute_error: 1.1066, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.5804, kappa: 0.4452, kb_relative_information_score: 2294.4219, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.581, predictive_accuracy: 0.6051, prior_entropy: 2.3005, recall: 0.6051, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6182, kappa: 0.495, kb_relative_information_score: 2706.9535, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6133, predictive_accuracy: 0.6313, prior_entropy: 2.3005, recall: 0.6313, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.5268, kappa: 0.3723, kb_relative_information_score: 1896.4377, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5388, predictive_accuracy: 0.5649, prior_entropy: 2.3005, recall: 0.5649, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.5842, kappa: 0.4501, kb_relative_information_score: 2321.3414, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5831, predictive_accuracy: 0.6067, prior_entropy: 2.3005, recall: 0.6067, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.4574, kappa: 0.2843, kb_relative_information_score: 179.9312, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4873, predictive_accuracy: 0.5152, prior_entropy: 2.3005, recall: 0.5152, relative_absolute_error: 1.1066, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5601, kappa: 0.4186, kb_relative_information_score: 2090.1063, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5631, predictive_accuracy: 0.5891, prior_entropy: 2.3005, recall: 0.5891, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, kappa: 0.0918, kb_relative_information_score: 177.4549, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4398, prior_entropy: 2.3005, recall: 0.4398, relative_absolute_error: 1.1065, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.6102, kappa: 0.4843, kb_relative_information_score: 2519.7142, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6062, predictive_accuracy: 0.6262, prior_entropy: 2.3005, recall: 0.6262, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.5863, kappa: 0.4533, kb_relative_information_score: 2294.5162, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5853, predictive_accuracy: 0.609, prior_entropy: 2.3005, recall: 0.609, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.6032, kappa: 0.4751, kb_relative_information_score: 2553.2197, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.599, predictive_accuracy: 0.6203, prior_entropy: 2.3005, recall: 0.6203, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.5447, kappa: 0.3986, kb_relative_information_score: 2017.8957, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5515, predictive_accuracy: 0.5788, prior_entropy: 2.3005, recall: 0.5788, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.5658, kappa: 0.4257, kb_relative_information_score: 2162.2531, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5674, predictive_accuracy: 0.5933, prior_entropy: 2.3005, recall: 0.5933, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.5811, kappa: 0.4459, kb_relative_information_score: 2281.9229, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5822, predictive_accuracy: 0.6053, prior_entropy: 2.3005, recall: 0.6053, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.5591, kappa: 0.4164, kb_relative_information_score: 2107.0375, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5639, predictive_accuracy: 0.5884, prior_entropy: 2.3005, recall: 0.5884, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.5688, kappa: 0.4291, kb_relative_information_score: 2213.3591, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5686, predictive_accuracy: 0.5932, prior_entropy: 2.3005, recall: 0.5932, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.4144, kappa: 0.2221, kb_relative_information_score: 182.4498, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4681, predictive_accuracy: 0.4971, prior_entropy: 2.3005, recall: 0.4971, relative_absolute_error: 1.1059, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.5884, kappa: 0.4533, kb_relative_information_score: 2331.2661, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5861, predictive_accuracy: 0.5966, prior_entropy: 2.3005, recall: 0.5966, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.6062, kappa: 0.4772, kb_relative_information_score: 2842.4195, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6019, predictive_accuracy: 0.6126, prior_entropy: 2.3005, recall: 0.6126, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.5908, kappa: 0.4589, kb_relative_information_score: 2397.3384, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5884, predictive_accuracy: 0.6118, prior_entropy: 2.3005, recall: 0.6118, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.5465, kappa: 0.4009, kb_relative_information_score: 1995.6103, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5546, predictive_accuracy: 0.5804, prior_entropy: 2.3005, recall: 0.5804, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.5581, kappa: 0.4152, kb_relative_information_score: 2114.1948, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.564, predictive_accuracy: 0.5883, prior_entropy: 2.3005, recall: 0.5883, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.5951, kappa: 0.4647, kb_relative_information_score: 2458.6538, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5906, predictive_accuracy: 0.6129, prior_entropy: 2.3005, recall: 0.6129, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, kappa: 0.0012, kb_relative_information_score: 77.9421, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4178, prior_entropy: 2.3005, recall: 0.4178, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, kappa: 0.1948, kb_relative_information_score: 179.8135, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.476, prior_entropy: 2.3005, recall: 0.476, relative_absolute_error: 1.1062, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.595, kappa: 0.4645, kb_relative_information_score: 2441.8547, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5923, predictive_accuracy: 0.6147, prior_entropy: 2.3005, recall: 0.6147, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.5936, kappa: 0.4606, kb_relative_information_score: 185.0719, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.592, predictive_accuracy: 0.6026, prior_entropy: 2.3005, recall: 0.6026, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6091, kappa: 0.4824, kb_relative_information_score: 2686.819, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6038, predictive_accuracy: 0.6226, prior_entropy: 2.3005, recall: 0.6226, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.5342, kappa: 0.3843, kb_relative_information_score: 1973.1549, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.544, predictive_accuracy: 0.5711, prior_entropy: 2.3005, recall: 0.5711, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.5752, kappa: 0.4375, kb_relative_information_score: 2246.0976, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5766, predictive_accuracy: 0.6002, prior_entropy: 2.3005, recall: 0.6002, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.5984, kappa: 0.469, kb_relative_information_score: 2476.3215, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5955, predictive_accuracy: 0.6175, prior_entropy: 2.3005, recall: 0.6175, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.292, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.5581, kappa: 0.4163, kb_relative_information_score: 2070.8524, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5633, predictive_accuracy: 0.5888, prior_entropy: 2.3005, recall: 0.5888, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.301, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.577, kappa: 0.4406, kb_relative_information_score: 2204.0358, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.577, predictive_accuracy: 0.6013, prior_entropy: 2.3005, recall: 0.6013, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.6222, kappa: 0.4999, kb_relative_information_score: 2778.064, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6169, predictive_accuracy: 0.6326, prior_entropy: 2.3005, recall: 0.6326, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.5957, kappa: 0.4643, kb_relative_information_score: 203.1796, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5917, predictive_accuracy: 0.6105, prior_entropy: 2.3005, recall: 0.6105, relative_absolute_error: 1.1028, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.6051, kappa: 0.4779, kb_relative_information_score: 2472.4279, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6016, predictive_accuracy: 0.6229, prior_entropy: 2.3005, recall: 0.6229, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.554, kappa: 0.4099, kb_relative_information_score: 2051.9386, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5594, predictive_accuracy: 0.5845, prior_entropy: 2.3005, recall: 0.5845, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.8519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.5531, kappa: 0.4071, kb_relative_information_score: 179.9069, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5626, predictive_accuracy: 0.569, prior_entropy: 2.3005, recall: 0.569, relative_absolute_error: 1.1068, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.6076, kappa: 0.4799, kb_relative_information_score: 208.6143, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6025, predictive_accuracy: 0.6187, prior_entropy: 2.3005, recall: 0.6187, relative_absolute_error: 1.1022, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.5838, kappa: 0.4492, kb_relative_information_score: 2335.5787, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5843, predictive_accuracy: 0.6074, prior_entropy: 2.3005, recall: 0.6074, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8331,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.599, kappa: 0.4675, kb_relative_information_score: 2357.291, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5973, predictive_accuracy: 0.6093, prior_entropy: 2.3005, recall: 0.6093, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8494,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.4165, kappa: 0.2392, kb_relative_information_score: 178.0134, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4716, predictive_accuracy: 0.4853, prior_entropy: 2.3005, recall: 0.4853, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.5982, kappa: 0.4686, kb_relative_information_score: 2397.4359, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.596, predictive_accuracy: 0.6177, prior_entropy: 2.3005, recall: 0.6177, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, kappa: 0.0895, kb_relative_information_score: 183.6879, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4459, prior_entropy: 2.3005, recall: 0.4459, relative_absolute_error: 1.1043, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.6126, kappa: 0.486, kb_relative_information_score: 209.8536, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6087, predictive_accuracy: 0.62, prior_entropy: 2.3005, recall: 0.62, relative_absolute_error: 1.1024, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.5477, kappa: 0.4025, kb_relative_information_score: 2015.8186, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5546, predictive_accuracy: 0.5806, prior_entropy: 2.3005, recall: 0.5806, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.855,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.5614, kappa: 0.4206, kb_relative_information_score: 2090.475, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5651, predictive_accuracy: 0.591, prior_entropy: 2.3005, recall: 0.591, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.6085, kappa: 0.481, kb_relative_information_score: 2429.7355, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6087, predictive_accuracy: 0.6221, prior_entropy: 2.3005, recall: 0.6221, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.8425,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.5931, kappa: 0.4611, kb_relative_information_score: 1849.9868, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5961, predictive_accuracy: 0.611, prior_entropy: 2.3005, recall: 0.611, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.5788, kappa: 0.44, kb_relative_information_score: 1671.7791, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5769, predictive_accuracy: 0.5865, prior_entropy: 2.3005, recall: 0.5865, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.5912, kappa: 0.4598, kb_relative_information_score: 2333.9307, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5906, predictive_accuracy: 0.6128, prior_entropy: 2.3005, recall: 0.6128, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.5251, kappa: 0.3708, kb_relative_information_score: 1902.6121, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5379, predictive_accuracy: 0.5649, prior_entropy: 2.3005, recall: 0.5649, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.8661,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.6119, kappa: 0.487, kb_relative_information_score: 2611.2165, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.608, predictive_accuracy: 0.6283, prior_entropy: 2.3005, recall: 0.6283, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.5567, kappa: 0.4142, kb_relative_information_score: 2072.1777, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5623, predictive_accuracy: 0.5878, prior_entropy: 2.3005, recall: 0.5878, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.5526, kappa: 0.4082, kb_relative_information_score: 2085.6739, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5574, predictive_accuracy: 0.5834, prior_entropy: 2.3005, recall: 0.5834, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.8517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.5628, kappa: 0.4216, kb_relative_information_score: 2123.7895, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5659, predictive_accuracy: 0.5907, prior_entropy: 2.3005, recall: 0.5907, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.8461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.5995, kappa: 0.4706, kb_relative_information_score: 2482.3996, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5963, predictive_accuracy: 0.6185, prior_entropy: 2.3005, recall: 0.6185, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.5842, kappa: 0.4496, kb_relative_information_score: 2398.2047, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5803, predictive_accuracy: 0.6038, prior_entropy: 2.3005, recall: 0.6038, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8319,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.5771, kappa: 0.4408, kb_relative_information_score: 2269.9044, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5769, predictive_accuracy: 0.6013, prior_entropy: 2.3005, recall: 0.6013, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.606, kappa: 0.4788, kb_relative_information_score: 2580.6189, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.601, predictive_accuracy: 0.6205, prior_entropy: 2.3005, recall: 0.6205, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.6135, kappa: 0.4878, kb_relative_information_score: 218.7516, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6084, predictive_accuracy: 0.6229, prior_entropy: 2.3005, recall: 0.6229, relative_absolute_error: 1.1006, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.0458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.5828, kappa: 0.4476, kb_relative_information_score: 234.7993, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5802, predictive_accuracy: 0.5999, prior_entropy: 2.3005, recall: 0.5999, relative_absolute_error: 1.0964, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3689, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.6011, kappa: 0.4729, kb_relative_information_score: 2528.8302, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5971, predictive_accuracy: 0.619, prior_entropy: 2.3005, recall: 0.619, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.5933, kappa: 0.4621, kb_relative_information_score: 2363.3993, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5921, predictive_accuracy: 0.6149, prior_entropy: 2.3005, recall: 0.6149, relative_absolute_error: 0.7104, 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: 0.8414, f_measure: 0.5207, kappa: 0.3639, kb_relative_information_score: 1858.68, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5389, predictive_accuracy: 0.5618, prior_entropy: 2.3005, recall: 0.5618, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.5889, kappa: 0.4562, kb_relative_information_score: 2349.9782, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5883, predictive_accuracy: 0.6115, prior_entropy: 2.3005, recall: 0.6115, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.5444, kappa: 0.3982, kb_relative_information_score: 2008.5228, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5522, predictive_accuracy: 0.5776, prior_entropy: 2.3005, recall: 0.5776, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.5619, kappa: 0.42, kb_relative_information_score: 2176.3889, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5584, predictive_accuracy: 0.5834, prior_entropy: 2.3005, recall: 0.5834, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.6169, kappa: 0.4919, kb_relative_information_score: 204.353, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6127, predictive_accuracy: 0.6255, prior_entropy: 2.3005, recall: 0.6255, relative_absolute_error: 1.1031, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.5849, kappa: 0.4513, kb_relative_information_score: 2325.6126, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5834, predictive_accuracy: 0.6077, prior_entropy: 2.3005, recall: 0.6077, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4749, kappa: 0.3048, kb_relative_information_score: 195.697, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5085, predictive_accuracy: 0.5296, prior_entropy: 2.3005, recall: 0.5296, relative_absolute_error: 1.1027, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0478,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs