Task
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10695 runs submitted
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  • OpenML100 study_107 study_123 study_14
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10695 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9197, kappa: 0.9021, kb_relative_information_score: 2536.7418, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8665, kappa: 0.835, kb_relative_information_score: 2338.9607, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8703, predictive_accuracy: 0.8648, prior_entropy: 2.5207, recall: 0.8648, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8468, kappa: 0.8124, kb_relative_information_score: 2275.201, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8475, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9622, kappa: 0.9537, kb_relative_information_score: 2674.6066, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9623, predictive_accuracy: 0.9621, prior_entropy: 2.5207, recall: 0.9621, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9411, kappa: 0.9279, kb_relative_information_score: 2611.0841, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9413, predictive_accuracy: 0.941, prior_entropy: 2.5207, recall: 0.941, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9485, kappa: 0.9371, kb_relative_information_score: 2624.4679, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9487, predictive_accuracy: 0.9485, prior_entropy: 2.5207, recall: 0.9485, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.896, kappa: 0.8722, kb_relative_information_score: 2457.2427, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8972, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8307, kappa: 0.7917, kb_relative_information_score: 2246.6061, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8334, predictive_accuracy: 0.8294, prior_entropy: 2.5207, recall: 0.8294, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9174, kappa: 0.8991, kb_relative_information_score: 2510.5555, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9177, predictive_accuracy: 0.9174, prior_entropy: 2.5207, recall: 0.9174, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9166, kappa: 0.8982, kb_relative_information_score: 2508.9278, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9168, predictive_accuracy: 0.9167, prior_entropy: 2.5207, recall: 0.9167, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8598, kappa: 0.8267, kb_relative_information_score: 2307.9122, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8638, predictive_accuracy: 0.858, prior_entropy: 2.5207, recall: 0.858, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8754, kappa: 0.848, kb_relative_information_score: 2390.8538, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8756, predictive_accuracy: 0.8755, prior_entropy: 2.5207, recall: 0.8755, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8839, kappa: 0.8576, kb_relative_information_score: 2383.969, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8851, predictive_accuracy: 0.8834, prior_entropy: 2.5207, recall: 0.8834, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.161, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8405, kappa: 0.8043, kb_relative_information_score: 2249.3812, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8419, predictive_accuracy: 0.8398, prior_entropy: 2.5207, recall: 0.8398, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8857, kappa: 0.8602, kb_relative_information_score: 2406.5508, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 2.5207, recall: 0.8856, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8468, kappa: 0.8124, kb_relative_information_score: 2275.201, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8475, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9163, kappa: 0.8974, kb_relative_information_score: 2517.1036, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.917, predictive_accuracy: 0.916, prior_entropy: 2.5207, recall: 0.916, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8468, kappa: 0.8124, kb_relative_information_score: 2275.201, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8475, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8468, kappa: 0.8118, kb_relative_information_score: 2278.3141, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8489, predictive_accuracy: 0.8459, prior_entropy: 2.5207, recall: 0.8459, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8942, kappa: 0.8707, kb_relative_information_score: 2451.1298, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.895, predictive_accuracy: 0.8941, prior_entropy: 2.5207, recall: 0.8941, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8918, kappa: 0.8684, kb_relative_information_score: 2461.569, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8915, predictive_accuracy: 0.8923, prior_entropy: 2.5207, recall: 0.8923, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8484, kappa: 0.8147, kb_relative_information_score: 2289.0031, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8487, predictive_accuracy: 0.8484, prior_entropy: 2.5207, recall: 0.8484, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8307, kappa: 0.7917, kb_relative_information_score: 2246.8804, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8334, predictive_accuracy: 0.8294, prior_entropy: 2.5207, recall: 0.8294, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.905, kappa: 0.8838, kb_relative_information_score: 2479.0655, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9065, predictive_accuracy: 0.9049, prior_entropy: 2.5207, recall: 0.9049, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8472, kappa: 0.8123, kb_relative_information_score: 2278.2268, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8493, predictive_accuracy: 0.8462, prior_entropy: 2.5207, recall: 0.8462, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8865, kappa: 0.861, kb_relative_information_score: 2417.4922, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8878, predictive_accuracy: 0.8863, prior_entropy: 2.5207, recall: 0.8863, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8859, kappa: 0.8601, kb_relative_information_score: 2433.9405, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.887, predictive_accuracy: 0.8856, prior_entropy: 2.5207, recall: 0.8856, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8279, kappa: 0.7893, kb_relative_information_score: 2244.4556, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8296, predictive_accuracy: 0.8276, prior_entropy: 2.5207, recall: 0.8276, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8968, kappa: 0.873, kb_relative_information_score: 2438.5284, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8986, predictive_accuracy: 0.8959, prior_entropy: 2.5207, recall: 0.8959, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8671, kappa: 0.8363, kb_relative_information_score: 2341.484, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8695, predictive_accuracy: 0.8659, prior_entropy: 2.5207, recall: 0.8659, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9651, kappa: 0.9572, kb_relative_information_score: 2679.0837, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9653, predictive_accuracy: 0.9649, prior_entropy: 2.5207, recall: 0.9649, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8605, kappa: 0.8275, kb_relative_information_score: 2308.8599, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8643, predictive_accuracy: 0.8587, prior_entropy: 2.5207, recall: 0.8587, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9338, kappa: 0.9191, kb_relative_information_score: 2592.1894, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 2.5207, recall: 0.9338, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.139, root_relative_squared_error: 0.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8866, kappa: 0.8607, kb_relative_information_score: 2393.5971, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8884, predictive_accuracy: 0.8859, prior_entropy: 2.5207, recall: 0.8859, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.964, kappa: 0.9559, kb_relative_information_score: 2676.4097, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9643, predictive_accuracy: 0.9639, prior_entropy: 2.5207, recall: 0.9639, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.2587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8873, kappa: 0.8624, kb_relative_information_score: 2427.5166, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8876, predictive_accuracy: 0.8873, prior_entropy: 2.5207, recall: 0.8873, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.4254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8484, kappa: 0.8147, kb_relative_information_score: 2289.3874, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8487, predictive_accuracy: 0.8484, prior_entropy: 2.5207, recall: 0.8484, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8346, kappa: 0.7967, kb_relative_information_score: 2245.4881, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 2.5207, recall: 0.8333, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8869, kappa: 0.8614, kb_relative_information_score: 2436.7629, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.888, predictive_accuracy: 0.8866, prior_entropy: 2.5207, recall: 0.8866, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8468, kappa: 0.8124, kb_relative_information_score: 2275.201, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8475, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.92, kappa: 0.9025, kb_relative_information_score: 2543.7843, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9201, predictive_accuracy: 0.9202, prior_entropy: 2.5207, recall: 0.9202, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9171, kappa: 0.8983, kb_relative_information_score: 2512.8305, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 2.5207, recall: 0.9167, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9582, kappa: 0.9489, kb_relative_information_score: 2654.432, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 2.5207, recall: 0.9582, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9197, kappa: 0.902, kb_relative_information_score: 2536.875, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9199, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9296, kappa: 0.9139, kb_relative_information_score: 2562.7156, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9298, predictive_accuracy: 0.9295, prior_entropy: 2.5207, recall: 0.9295, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.3649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9168, kappa: 0.8979, kb_relative_information_score: 2511.1777, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.918, predictive_accuracy: 0.9163, prior_entropy: 2.5207, recall: 0.9163, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9156, kappa: 0.8965, kb_relative_information_score: 2515.2897, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9164, predictive_accuracy: 0.9152, prior_entropy: 2.5207, recall: 0.9152, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8785, kappa: 0.8503, kb_relative_information_score: 2394.1037, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8808, predictive_accuracy: 0.8773, prior_entropy: 2.5207, recall: 0.8773, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9049, kappa: 0.883, kb_relative_information_score: 2484.6142, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9062, predictive_accuracy: 0.9041, prior_entropy: 2.5207, recall: 0.9041, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8537, kappa: 0.8205, kb_relative_information_score: 2303.4318, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8552, predictive_accuracy: 0.853, prior_entropy: 2.5207, recall: 0.853, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9217, kappa: 0.9043, kb_relative_information_score: 2540.8404, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9219, predictive_accuracy: 0.9217, prior_entropy: 2.5207, recall: 0.9217, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8537, kappa: 0.8205, kb_relative_information_score: 2303.4318, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8552, predictive_accuracy: 0.853, prior_entropy: 2.5207, recall: 0.853, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8615, kappa: 0.8289, kb_relative_information_score: 2325.1134, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8648, predictive_accuracy: 0.8598, prior_entropy: 2.5207, recall: 0.8598, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8598, kappa: 0.8267, kb_relative_information_score: 2307.9122, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8638, predictive_accuracy: 0.858, prior_entropy: 2.5207, recall: 0.858, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9046, kappa: 0.8834, kb_relative_information_score: 2478.8106, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9062, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8468, kappa: 0.8124, kb_relative_information_score: 2275.201, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8475, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.896, kappa: 0.8722, kb_relative_information_score: 2457.9473, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8972, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9391, kappa: 0.9257, kb_relative_information_score: 2596.9089, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9392, predictive_accuracy: 0.9392, prior_entropy: 2.5207, recall: 0.9392, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.3279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9548, kappa: 0.9446, kb_relative_information_score: 2638.8318, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9553, predictive_accuracy: 0.9546, prior_entropy: 2.5207, recall: 0.9546, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9793, kappa: 0.9747, kb_relative_information_score: 2727.4042, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9794, predictive_accuracy: 0.9793, prior_entropy: 2.5207, recall: 0.9793, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9255, kappa: 0.9091, kb_relative_information_score: 2542.6606, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9257, predictive_accuracy: 0.9256, prior_entropy: 2.5207, recall: 0.9256, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.943, kappa: 0.9305, kb_relative_information_score: 2624.1029, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 2.5207, recall: 0.9431, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.919, kappa: 0.9012, kb_relative_information_score: 2538.8743, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9191, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.896, kappa: 0.8722, kb_relative_information_score: 2457.8646, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8972, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9416, kappa: 0.9288, kb_relative_information_score: 2602.4339, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 2.5207, recall: 0.9417, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9022, kappa: 0.8806, kb_relative_information_score: 2477.1022, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9027, predictive_accuracy: 0.9024, prior_entropy: 2.5207, recall: 0.9024, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8996, kappa: 0.8769, kb_relative_information_score: 2442.7629, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9005, predictive_accuracy: 0.8991, prior_entropy: 2.5207, recall: 0.8991, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8857, kappa: 0.8601, kb_relative_information_score: 2435.702, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8866, predictive_accuracy: 0.8856, prior_entropy: 2.5207, recall: 0.8856, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9339, kappa: 0.9192, kb_relative_information_score: 2568.2799, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9345, predictive_accuracy: 0.9338, prior_entropy: 2.5207, recall: 0.9338, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9354, kappa: 0.9209, kb_relative_information_score: 2577.5836, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9359, predictive_accuracy: 0.9353, prior_entropy: 2.5207, recall: 0.9353, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8747, kappa: 0.8471, kb_relative_information_score: 2389.5085, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8749, predictive_accuracy: 0.8748, prior_entropy: 2.5207, recall: 0.8748, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8505, kappa: 0.8157, kb_relative_information_score: 2294.8229, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8542, predictive_accuracy: 0.8491, prior_entropy: 2.5207, recall: 0.8491, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9188, kappa: 0.9008, kb_relative_information_score: 2530.5643, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9189, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8563, kappa: 0.8241, kb_relative_information_score: 2323.1405, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8575, predictive_accuracy: 0.8559, prior_entropy: 2.5207, recall: 0.8559, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8968, kappa: 0.873, kb_relative_information_score: 2438.4168, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8986, predictive_accuracy: 0.8959, prior_entropy: 2.5207, recall: 0.8959, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8363, kappa: 0.7993, kb_relative_information_score: 2231.7665, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8391, predictive_accuracy: 0.8355, prior_entropy: 2.5207, recall: 0.8355, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8537, kappa: 0.8205, kb_relative_information_score: 2303.7284, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8552, predictive_accuracy: 0.853, prior_entropy: 2.5207, recall: 0.853, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9321, kappa: 0.917, kb_relative_information_score: 2586.0372, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9323, predictive_accuracy: 0.932, prior_entropy: 2.5207, recall: 0.932, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9546, kappa: 0.9445, kb_relative_information_score: 2650.576, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 2.5207, recall: 0.9546, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9166, kappa: 0.8982, kb_relative_information_score: 2510.1425, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.917, predictive_accuracy: 0.9167, prior_entropy: 2.5207, recall: 0.9167, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9418, kappa: 0.9288, kb_relative_information_score: 2600.8046, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9422, predictive_accuracy: 0.9417, prior_entropy: 2.5207, recall: 0.9417, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9357, kappa: 0.9213, kb_relative_information_score: 2578.9636, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.936, predictive_accuracy: 0.9356, prior_entropy: 2.5207, recall: 0.9356, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.932, kappa: 0.917, kb_relative_information_score: 2569.0642, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9322, predictive_accuracy: 0.932, prior_entropy: 2.5207, recall: 0.932, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9508, kappa: 0.9397, kb_relative_information_score: 2626.1998, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9512, predictive_accuracy: 0.9506, prior_entropy: 2.5207, recall: 0.9506, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8881, kappa: 0.8633, kb_relative_information_score: 2427.9885, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8885, predictive_accuracy: 0.8881, prior_entropy: 2.5207, recall: 0.8881, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.157, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.935, kappa: 0.9205, kb_relative_information_score: 2575.5689, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9355, predictive_accuracy: 0.9349, prior_entropy: 2.5207, recall: 0.9349, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8473, kappa: 0.8129, kb_relative_information_score: 2280.7024, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8482, predictive_accuracy: 0.8469, prior_entropy: 2.5207, recall: 0.8469, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.93, kappa: 0.9144, kb_relative_information_score: 2571.4158, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9304, predictive_accuracy: 0.9299, prior_entropy: 2.5207, recall: 0.9299, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8918, kappa: 0.8684, kb_relative_information_score: 2461.5034, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8915, predictive_accuracy: 0.8923, prior_entropy: 2.5207, recall: 0.8923, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.894, kappa: 0.8706, kb_relative_information_score: 2450.6077, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 2.5207, recall: 0.8941, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9796, kappa: 0.9751, kb_relative_information_score: 2730.6846, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 2.5207, recall: 0.9796, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9421, kappa: 0.9292, kb_relative_information_score: 2609.4905, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9423, predictive_accuracy: 0.9421, prior_entropy: 2.5207, recall: 0.9421, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8712, kappa: 0.8419, kb_relative_information_score: 2357.7502, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8733, predictive_accuracy: 0.8705, prior_entropy: 2.5207, recall: 0.8705, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9166, kappa: 0.8978, kb_relative_information_score: 2518.1743, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9174, predictive_accuracy: 0.9163, prior_entropy: 2.5207, recall: 0.9163, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.3738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9247, kappa: 0.9082, kb_relative_information_score: 2555.3557, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9248, predictive_accuracy: 0.9249, prior_entropy: 2.5207, recall: 0.9249, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8658, kappa: 0.8341, kb_relative_information_score: 2338.3987, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8698, predictive_accuracy: 0.8641, prior_entropy: 2.5207, recall: 0.8641, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8663, kappa: 0.8346, kb_relative_information_score: 2339.3985, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8704, predictive_accuracy: 0.8644, prior_entropy: 2.5207, recall: 0.8644, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2480.0311, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9072, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8566, kappa: 0.8245, kb_relative_information_score: 2324.0687, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8579, predictive_accuracy: 0.8562, prior_entropy: 2.5207, recall: 0.8562, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.4715,

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