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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 79.9977, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 10.4226, 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: 1.0034, 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: 15.7837, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9988, 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: 0.6741, f_measure: 0.3585, kappa: 0.1506, kb_relative_information_score: 987.3205, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3516, predictive_accuracy: 0.4243, prior_entropy: 2.3005, recall: 0.4243, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 90.7442, 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: 1.0032, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.1866, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9961, 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: 72.0703, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3542, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 48.0841, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3542, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.146, kappa: 0.0005, kb_relative_information_score: -40.1611, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2478, predictive_accuracy: 0.1451, prior_entropy: 2.3005, recall: 0.1451, relative_absolute_error: 1.1363, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.4937, kappa: 0.3284, kb_relative_information_score: 1849.0163, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4869, predictive_accuracy: 0.5159, prior_entropy: 2.3005, recall: 0.5159, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, kappa: 0.1298, kb_relative_information_score: 731.438, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.464, prior_entropy: 2.3005, recall: 0.464, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 67.4394, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.4504, kappa: 0.2661, kb_relative_information_score: 1346.4112, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.473, predictive_accuracy: 0.499, prior_entropy: 2.3005, recall: 0.499, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 100.3729, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.355, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 34.9182, 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: 0.9994, 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: 0.4996, kb_relative_information_score: 44.5637, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9978, 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: 0.6494, kappa: 0.1083, kb_relative_information_score: 575.8957, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4314, prior_entropy: 2.3005, recall: 0.4314, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.4366, kappa: 0.2497, kb_relative_information_score: 1265.4033, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.445, predictive_accuracy: 0.4959, prior_entropy: 2.3005, recall: 0.4959, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.1509, kappa: 0.0052, kb_relative_information_score: -20.2681, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2563, predictive_accuracy: 0.1471, prior_entropy: 2.3005, recall: 0.1471, relative_absolute_error: 1.1337, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 36.2977, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0024, 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: 0.4996, kb_relative_information_score: 41.4843, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.4652, kappa: 0.2888, kb_relative_information_score: 1831.7049, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4611, predictive_accuracy: 0.4703, prior_entropy: 2.3005, recall: 0.4703, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.356, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.4844, kappa: 0.3206, kb_relative_information_score: 1707.7399, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4896, predictive_accuracy: 0.5211, prior_entropy: 2.3005, recall: 0.5211, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 91.1565, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3546, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 8.1083, mean_absolute_error: 0.2508, 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, 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: 0.7633, f_measure: 0.482, kappa: 0.3131, kb_relative_information_score: 1719.0223, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.472, predictive_accuracy: 0.5095, prior_entropy: 2.3005, recall: 0.5095, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 9.3315, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0025, 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: 0.503, kappa: 0.0001, kb_relative_information_score: 457.7541, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.2846, prior_entropy: 2.3005, recall: 0.2846, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 6.2091, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0004, 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: 0.7564, f_measure: 0.4515, kappa: 0.2726, kb_relative_information_score: 1404.1538, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4516, predictive_accuracy: 0.4964, prior_entropy: 2.3005, recall: 0.4964, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.3619, kappa: 0.1554, kb_relative_information_score: 1013.7199, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3724, predictive_accuracy: 0.4559, prior_entropy: 2.3005, recall: 0.4559, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 20.8384, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0008, 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: 0.5001, kb_relative_information_score: 30.5834, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3542, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.6139, kappa: 0.4892, kb_relative_information_score: 2642.1269, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6092, predictive_accuracy: 0.6275, prior_entropy: 2.3005, recall: 0.6275, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.6105, kappa: 0.4848, kb_relative_information_score: 2526.4379, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6062, predictive_accuracy: 0.6259, prior_entropy: 2.3005, recall: 0.6259, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.5652, kappa: 0.4234, kb_relative_information_score: 2144.7533, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5707, predictive_accuracy: 0.593, prior_entropy: 2.3005, recall: 0.593, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.5981, kappa: 0.4686, kb_relative_information_score: 2438.9249, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.595, predictive_accuracy: 0.6175, prior_entropy: 2.3005, recall: 0.6175, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.6176, kappa: 0.4938, kb_relative_information_score: 2734.016, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6128, predictive_accuracy: 0.6304, prior_entropy: 2.3005, recall: 0.6304, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.5531, kappa: 0.4098, kb_relative_information_score: 2037.9207, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5588, predictive_accuracy: 0.5852, prior_entropy: 2.3005, recall: 0.5852, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.6178, kappa: 0.494, kb_relative_information_score: 2656.5488, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6132, predictive_accuracy: 0.6309, prior_entropy: 2.3005, recall: 0.6309, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.5622, kappa: 0.4205, kb_relative_information_score: 2125.0514, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5655, predictive_accuracy: 0.5906, prior_entropy: 2.3005, recall: 0.5906, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.5927, kappa: 0.4618, kb_relative_information_score: 2363.0674, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5916, predictive_accuracy: 0.6141, prior_entropy: 2.3005, recall: 0.6141, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.5415, kappa: 0.3916, kb_relative_information_score: 2242.5876, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5348, predictive_accuracy: 0.5597, prior_entropy: 2.3005, recall: 0.5597, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.5879, kappa: 0.4547, kb_relative_information_score: 2368.0124, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.585, predictive_accuracy: 0.6084, prior_entropy: 2.3005, recall: 0.6084, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.5608, kappa: 0.4199, kb_relative_information_score: 2089.6297, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5652, predictive_accuracy: 0.5906, prior_entropy: 2.3005, recall: 0.5906, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5698, kappa: 0.4305, kb_relative_information_score: 2190.0935, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5717, predictive_accuracy: 0.5961, prior_entropy: 2.3005, recall: 0.5961, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.5603, kappa: 0.4175, kb_relative_information_score: 2128.5232, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5651, predictive_accuracy: 0.5894, prior_entropy: 2.3005, recall: 0.5894, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.5851, kappa: 0.4508, kb_relative_information_score: 2305.9644, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5852, predictive_accuracy: 0.608, prior_entropy: 2.3005, recall: 0.608, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.5893, kappa: 0.4564, kb_relative_information_score: 2431.6319, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5849, predictive_accuracy: 0.6069, prior_entropy: 2.3005, recall: 0.6069, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.5812, kappa: 0.4453, kb_relative_information_score: 2529.9171, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5748, predictive_accuracy: 0.594, prior_entropy: 2.3005, recall: 0.594, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.6045, kappa: 0.4765, kb_relative_information_score: 2468.6368, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6016, predictive_accuracy: 0.6224, prior_entropy: 2.3005, recall: 0.6224, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.5788, kappa: 0.4428, kb_relative_information_score: 2221.4596, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5783, predictive_accuracy: 0.6023, prior_entropy: 2.3005, recall: 0.6023, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.5793, kappa: 0.4438, kb_relative_information_score: 2210.7225, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.58, predictive_accuracy: 0.604, prior_entropy: 2.3005, recall: 0.604, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.5684, kappa: 0.4284, kb_relative_information_score: 2102.0191, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5735, predictive_accuracy: 0.5959, prior_entropy: 2.3005, recall: 0.5959, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.466, kappa: 0.2892, kb_relative_information_score: 1541.4611, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5205, predictive_accuracy: 0.5268, prior_entropy: 2.3005, recall: 0.5268, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.5399, kappa: 0.3919, kb_relative_information_score: 1993.1029, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5477, predictive_accuracy: 0.5755, prior_entropy: 2.3005, recall: 0.5755, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6036, kappa: 0.4759, kb_relative_information_score: 2521.3673, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6005, predictive_accuracy: 0.6218, prior_entropy: 2.3005, recall: 0.6218, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.5828, kappa: 0.4487, kb_relative_information_score: 2297.002, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5822, predictive_accuracy: 0.6062, prior_entropy: 2.3005, recall: 0.6062, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.5421, kappa: 0.3929, kb_relative_information_score: 2010.449, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5503, predictive_accuracy: 0.5762, prior_entropy: 2.3005, recall: 0.5762, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.594, kappa: 0.463, kb_relative_information_score: 2380.5862, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5918, predictive_accuracy: 0.6139, prior_entropy: 2.3005, recall: 0.6139, relative_absolute_error: 0.71, 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: 0.8611, f_measure: 0.5931, kappa: 0.4615, kb_relative_information_score: 2557.0114, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5877, predictive_accuracy: 0.608, prior_entropy: 2.3005, recall: 0.608, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.5905, kappa: 0.4582, kb_relative_information_score: 2501.0505, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5847, predictive_accuracy: 0.6064, prior_entropy: 2.3005, recall: 0.6064, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.5573, kappa: 0.4149, kb_relative_information_score: 2057.3893, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5622, predictive_accuracy: 0.5876, prior_entropy: 2.3005, recall: 0.5876, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.5805, kappa: 0.4455, kb_relative_information_score: 2244.9749, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5792, predictive_accuracy: 0.6041, prior_entropy: 2.3005, recall: 0.6041, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.5658, kappa: 0.4262, kb_relative_information_score: 2163.5221, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5689, predictive_accuracy: 0.5943, prior_entropy: 2.3005, recall: 0.5943, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.5779, kappa: 0.4413, kb_relative_information_score: 2256.4872, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5789, predictive_accuracy: 0.6023, prior_entropy: 2.3005, recall: 0.6023, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.5093, kappa: 0.3477, kb_relative_information_score: 1778.8139, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5399, predictive_accuracy: 0.5561, prior_entropy: 2.3005, recall: 0.5561, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.5856, kappa: 0.4518, kb_relative_information_score: 2313.1177, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5834, predictive_accuracy: 0.6067, prior_entropy: 2.3005, recall: 0.6067, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.5697, kappa: 0.4313, kb_relative_information_score: 2144.8381, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5729, predictive_accuracy: 0.5973, prior_entropy: 2.3005, recall: 0.5973, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.5532, kappa: 0.4093, kb_relative_information_score: 2043.57, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5594, predictive_accuracy: 0.5843, prior_entropy: 2.3005, recall: 0.5843, relative_absolute_error: 0.7624, 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: 0.8717, f_measure: 0.603, kappa: 0.475, kb_relative_information_score: 2555.2414, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5992, predictive_accuracy: 0.6205, prior_entropy: 2.3005, recall: 0.6205, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.5746, kappa: 0.4368, kb_relative_information_score: 2327.8233, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5703, predictive_accuracy: 0.5953, prior_entropy: 2.3005, recall: 0.5953, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.5206, kappa: 0.3635, kb_relative_information_score: 1846.0059, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5383, predictive_accuracy: 0.5621, prior_entropy: 2.3005, recall: 0.5621, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.5792, kappa: 0.4415, kb_relative_information_score: 2662.1886, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5739, predictive_accuracy: 0.5866, prior_entropy: 2.3005, recall: 0.5866, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.306, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.6046, kappa: 0.4775, kb_relative_information_score: 2602.2566, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5994, predictive_accuracy: 0.6201, prior_entropy: 2.3005, recall: 0.6201, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.5673, kappa: 0.4275, kb_relative_information_score: 2192.506, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5698, predictive_accuracy: 0.5943, prior_entropy: 2.3005, recall: 0.5943, relative_absolute_error: 0.7437, 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: 0.8519, f_measure: 0.5496, kappa: 0.4049, kb_relative_information_score: 2036.3688, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5549, predictive_accuracy: 0.5816, prior_entropy: 2.3005, recall: 0.5816, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.5681, kappa: 0.4284, kb_relative_information_score: 2189.0727, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5706, predictive_accuracy: 0.5956, prior_entropy: 2.3005, recall: 0.5956, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.6035, kappa: 0.4753, kb_relative_information_score: 2613.3645, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5982, predictive_accuracy: 0.6182, prior_entropy: 2.3005, recall: 0.6182, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.592, kappa: 0.46, kb_relative_information_score: 2501.5817, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5865, predictive_accuracy: 0.6077, prior_entropy: 2.3005, recall: 0.6077, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.5619, kappa: 0.4204, kb_relative_information_score: 2146.3653, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5633, predictive_accuracy: 0.5894, prior_entropy: 2.3005, recall: 0.5894, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.601, kappa: 0.4725, kb_relative_information_score: 2505.4237, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5971, predictive_accuracy: 0.6185, prior_entropy: 2.3005, recall: 0.6185, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.5306, kappa: 0.3793, kb_relative_information_score: 1918.9224, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5422, predictive_accuracy: 0.5686, prior_entropy: 2.3005, recall: 0.5686, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.6178, kappa: 0.4939, kb_relative_information_score: 2779.9639, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6127, predictive_accuracy: 0.629, prior_entropy: 2.3005, recall: 0.629, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.6201, kappa: 0.4976, kb_relative_information_score: 2625.0812, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6152, predictive_accuracy: 0.634, prior_entropy: 2.3005, recall: 0.634, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0006, kb_relative_information_score: 463.1312, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.2654, prior_entropy: 2.3005, recall: 0.2654, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, kb_relative_information_score: 196.468, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 53.8518, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kappa: 0.0003, kb_relative_information_score: 166.1341, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.1968, prior_entropy: 2.3005, recall: 0.1968, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 17.2723, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.999, 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: 52.8835, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: -236.0597, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.1013, prior_entropy: 2.3005, recall: 0.1013, relative_absolute_error: 1.1946, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 92.8894, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.5535, kappa: 0.4066, kb_relative_information_score: 2216.5365, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5478, predictive_accuracy: 0.5714, prior_entropy: 2.3005, recall: 0.5714, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 165.8297, 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: 1.0034, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3549, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, kappa: 0.1115, kb_relative_information_score: 828.7217, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.3887, prior_entropy: 2.3005, recall: 0.3887, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3586, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 83.0594, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 51.2069, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 6.6481, 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: 0.8356, f_measure: 0.5537, kappa: 0.4092, kb_relative_information_score: 2176.8322, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5499, predictive_accuracy: 0.5749, prior_entropy: 2.3005, recall: 0.5749, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.8607,

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