OpenML
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10925 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.1953, kappa: 0.0902, kb_relative_information_score: 523.0141, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3413, predictive_accuracy: 0.2986, prior_entropy: 2.5207, recall: 0.2986, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9778, kappa: 0.9729, kb_relative_information_score: 2722.9278, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.978, predictive_accuracy: 0.9778, prior_entropy: 2.5207, recall: 0.9778, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0026, kb_relative_information_score: 340.9821, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2446, prior_entropy: 2.5207, recall: 0.2446, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9996, kappa: 0.9996, kb_relative_information_score: 2794.5993, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 2.5207, recall: 0.9996, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0109, root_relative_squared_error: 0.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.925, kappa: 0.9083, kb_relative_information_score: 2549.4066, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9252, predictive_accuracy: 0.9249, prior_entropy: 2.5207, recall: 0.9249, relative_absolute_error: 0.0917, 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: 0.9998, f_measure: 0.9996, kappa: 0.9996, kb_relative_information_score: 2794.5993, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 2.5207, recall: 0.9996, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0109, root_relative_squared_error: 0.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.792, kappa: 0.7255, kb_relative_information_score: 2046.1636, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9106, predictive_accuracy: 0.7747, prior_entropy: 2.5207, recall: 0.7747, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1622, kappa: 0.06, kb_relative_information_score: 455.9646, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2958, predictive_accuracy: 0.279, prior_entropy: 2.5207, recall: 0.279, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.6945, kappa: 0.6301, kb_relative_information_score: 1794.6545, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.723, predictive_accuracy: 0.6971, prior_entropy: 2.5207, recall: 0.6971, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, kappa: 0.0063, kb_relative_information_score: 345.8666, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2461, prior_entropy: 2.5207, recall: 0.2461, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 335.9106, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9475, kappa: 0.9358, kb_relative_information_score: 2624.0636, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.948, predictive_accuracy: 0.9474, prior_entropy: 2.5207, recall: 0.9474, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.4744, kappa: 0.3761, kb_relative_information_score: 1165.0926, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.6196, predictive_accuracy: 0.5125, prior_entropy: 2.5207, recall: 0.5125, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9317, kappa: 0.9165, kb_relative_information_score: 2569.732, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9331, predictive_accuracy: 0.9317, prior_entropy: 2.5207, recall: 0.9317, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.7966, kappa: 0.7487, kb_relative_information_score: 2116.5027, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8109, predictive_accuracy: 0.7936, prior_entropy: 2.5207, recall: 0.7936, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.7101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.3035, kappa: 0.1865, kb_relative_information_score: 736.9339, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.4631, predictive_accuracy: 0.3684, prior_entropy: 2.5207, recall: 0.3684, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.6804, kappa: 0.6137, kb_relative_information_score: 1757.2459, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.6851, predictive_accuracy: 0.6853, prior_entropy: 2.5207, recall: 0.6853, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9051, kappa: 0.8831, kb_relative_information_score: 2481.1056, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9073, predictive_accuracy: 0.9041, prior_entropy: 2.5207, recall: 0.9041, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.4839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8894, kappa: 0.8609, kb_relative_information_score: 2419.4518, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.899, predictive_accuracy: 0.8859, prior_entropy: 2.5207, recall: 0.8859, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.195, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.1801, kappa: 0.0794, kb_relative_information_score: 495.2971, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3116, predictive_accuracy: 0.2911, prior_entropy: 2.5207, recall: 0.2911, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, kappa: 0.5029, kb_relative_information_score: 1449.354, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.6066, prior_entropy: 2.5207, recall: 0.6066, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 335.9106, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9993, kappa: 0.9991, kb_relative_information_score: 2793.6303, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 2.5207, recall: 0.9993, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0154, root_relative_squared_error: 0.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.3179, kappa: 0.1656, kb_relative_information_score: 629.5973, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3552, predictive_accuracy: 0.318, prior_entropy: 2.5207, recall: 0.318, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.2909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4514, f_measure: 0.1041, kappa: -0.0962, kb_relative_information_score: 28.7053, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.1177, predictive_accuracy: 0.1216, prior_entropy: 2.5207, recall: 0.1216, relative_absolute_error: 1.073, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7799, kappa: 0.707, kb_relative_information_score: 1999.1772, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9083, predictive_accuracy: 0.7593, prior_entropy: 2.5207, recall: 0.7593, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.1673, kappa: 0.0666, kb_relative_information_score: 469.6064, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.288, predictive_accuracy: 0.2829, prior_entropy: 2.5207, recall: 0.2829, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, kappa: 0.075, kb_relative_information_score: 482.7618, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2879, prior_entropy: 2.5207, recall: 0.2879, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.1589, kappa: 0.0574, kb_relative_information_score: 451.1511, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2558, predictive_accuracy: 0.2775, prior_entropy: 2.5207, recall: 0.2775, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.4309, kappa: 0.3138, kb_relative_information_score: 1007.2633, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.4631, predictive_accuracy: 0.4403, prior_entropy: 2.5207, recall: 0.4403, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.1694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9486, kappa: 0.9367, kb_relative_information_score: 2627.0419, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9495, predictive_accuracy: 0.9481, prior_entropy: 2.5207, recall: 0.9481, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6101, kappa: 0.5401, kb_relative_information_score: 1567.3533, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.6371, predictive_accuracy: 0.6252, prior_entropy: 2.5207, recall: 0.6252, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7818, kappa: 0.7379, kb_relative_information_score: 2087.1478, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7824, predictive_accuracy: 0.7858, prior_entropy: 2.5207, recall: 0.7858, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.222, kappa: 0.1133, kb_relative_information_score: 576.165, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3794, predictive_accuracy: 0.3151, prior_entropy: 2.5207, recall: 0.3151, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7873, kappa: 0.7165, kb_relative_information_score: 2024.2449, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9095, predictive_accuracy: 0.7672, prior_entropy: 2.5207, recall: 0.7672, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.2521, kappa: 0.0982, kb_relative_information_score: 505.3298, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2793, predictive_accuracy: 0.2804, prior_entropy: 2.5207, recall: 0.2804, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.3259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9421, kappa: 0.9288, kb_relative_information_score: 2604.8929, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9433, predictive_accuracy: 0.9417, prior_entropy: 2.5207, recall: 0.9417, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9528, kappa: 0.9423, kb_relative_information_score: 2642.17, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9529, predictive_accuracy: 0.9528, prior_entropy: 2.5207, recall: 0.9528, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9332, kappa: 0.9174, kb_relative_information_score: 2572.9154, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9354, predictive_accuracy: 0.9324, prior_entropy: 2.5207, recall: 0.9324, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7755, kappa: 0.7458, kb_relative_information_score: 2077.5498, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.846, predictive_accuracy: 0.7943, prior_entropy: 2.5207, recall: 0.7943, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0505, kb_relative_information_score: 435.3643, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2729, prior_entropy: 2.5207, recall: 0.2729, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9986, kappa: 0.9983, kb_relative_information_score: 2791.3571, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 2.5207, recall: 0.9986, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9785, kappa: 0.9738, kb_relative_information_score: 2725.6762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 2.5207, recall: 0.9785, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9714, kappa: 0.965, kb_relative_information_score: 2702.107, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 2.5207, recall: 0.9714, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.155, kappa: 0.0533, kb_relative_information_score: 441.3787, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2583, predictive_accuracy: 0.2747, prior_entropy: 2.5207, recall: 0.2747, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9975, kappa: 0.9969, kb_relative_information_score: 2787.7999, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 2.5207, recall: 0.9975, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0289, root_relative_squared_error: 0.0782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9015, kappa: 0.8722, kb_relative_information_score: 2449.4352, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9272, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.2245, kappa: 0.1155, kb_relative_information_score: 581.3242, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3996, predictive_accuracy: 0.3169, prior_entropy: 2.5207, recall: 0.3169, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0002, kb_relative_information_score: 334.9416, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2428, prior_entropy: 2.5207, recall: 0.2428, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9201, kappa: 0.9008, kb_relative_information_score: 2527.3321, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9238, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.0992, 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: 0.5344, f_measure: 0.2351, kappa: 0.0715, kb_relative_information_score: 443.1671, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2647, predictive_accuracy: 0.2557, prior_entropy: 2.5207, recall: 0.2557, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9564, kappa: 0.9467, kb_relative_information_score: 2652.4991, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 2.5207, recall: 0.9564, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9551, kappa: 0.945, kb_relative_information_score: 2648.6201, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9554, predictive_accuracy: 0.9549, prior_entropy: 2.5207, recall: 0.9549, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9544, kappa: 0.9441, kb_relative_information_score: 2646.7003, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.955, predictive_accuracy: 0.9542, prior_entropy: 2.5207, recall: 0.9542, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9209, kappa: 0.9028, kb_relative_information_score: 2534.651, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.923, predictive_accuracy: 0.9206, prior_entropy: 2.5207, recall: 0.9206, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9053, kappa: 0.8825, kb_relative_information_score: 2477.3503, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.909, predictive_accuracy: 0.9038, prior_entropy: 2.5207, recall: 0.9038, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.2336, kappa: 0.0728, kb_relative_information_score: 451.1864, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2636, predictive_accuracy: 0.2632, prior_entropy: 2.5207, recall: 0.2632, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0043, kb_relative_information_score: 342.0444, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.245, prior_entropy: 2.5207, recall: 0.245, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9872, kappa: 0.9843, kb_relative_information_score: 2754.1321, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9873, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8013, kappa: 0.7578, kb_relative_information_score: 2144.8928, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8051, predictive_accuracy: 0.8019, prior_entropy: 2.5207, recall: 0.8019, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.257, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9839, kappa: 0.9803, kb_relative_information_score: 2740.248, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 2.5207, recall: 0.9839, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.1983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.1046, kappa: 0.0053, kb_relative_information_score: 345.6643, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2707, predictive_accuracy: 0.2457, prior_entropy: 2.5207, recall: 0.2457, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, kappa: 0.0663, kb_relative_information_score: 466.1371, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2815, prior_entropy: 2.5207, recall: 0.2815, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7232, kappa: 0.6784, kb_relative_information_score: 1901.5186, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7941, predictive_accuracy: 0.7436, prior_entropy: 2.5207, recall: 0.7436, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 335.9106, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7279, kappa: 0.6674, kb_relative_information_score: 1904.1353, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7285, predictive_accuracy: 0.7282, prior_entropy: 2.5207, recall: 0.7282, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.301, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9996, kappa: 0.9996, kb_relative_information_score: 2794.5993, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 2.5207, recall: 0.9996, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0109, root_relative_squared_error: 0.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7989, kappa: 0.7312, kb_relative_information_score: 2064.6824, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9114, predictive_accuracy: 0.7793, prior_entropy: 2.5207, recall: 0.7793, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 335.9106, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9464, kappa: 0.9345, kb_relative_information_score: 2619.9228, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9467, predictive_accuracy: 0.9464, prior_entropy: 2.5207, recall: 0.9464, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.6677, kappa: 0.6037, kb_relative_information_score: 1723.1166, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7024, predictive_accuracy: 0.6763, prior_entropy: 2.5207, recall: 0.6763, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6235, kappa: 0.5392, kb_relative_information_score: 1565.7485, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.6294, predictive_accuracy: 0.623, prior_entropy: 2.5207, recall: 0.623, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4449, f_measure: 0.0831, kappa: -0.1092, kb_relative_information_score: -20.9512, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.0765, predictive_accuracy: 0.1016, prior_entropy: 2.5207, recall: 0.1016, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8505, kappa: 0.8019, kb_relative_information_score: 2252.9703, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9226, predictive_accuracy: 0.8376, prior_entropy: 2.5207, recall: 0.8376, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7925, kappa: 0.7501, kb_relative_information_score: 2115.9219, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7984, predictive_accuracy: 0.7969, prior_entropy: 2.5207, recall: 0.7969, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5117, kappa: 0.4029, kb_relative_information_score: 1239.0562, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.5209, predictive_accuracy: 0.5165, prior_entropy: 2.5207, recall: 0.5165, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.3277, kappa: 0.2098, kb_relative_information_score: 791.5104, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.5267, predictive_accuracy: 0.3873, prior_entropy: 2.5207, recall: 0.3873, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.2235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8614, kappa: 0.8303, kb_relative_information_score: 2336.7007, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8658, predictive_accuracy: 0.8612, prior_entropy: 2.5207, recall: 0.8612, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9326, kappa: 0.9165, kb_relative_information_score: 2570.5977, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9352, predictive_accuracy: 0.9317, prior_entropy: 2.5207, recall: 0.9317, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.212, kappa: 0.0405, kb_relative_information_score: 381.6585, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2313, predictive_accuracy: 0.2425, prior_entropy: 2.5207, recall: 0.2425, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.905, kappa: 0.8842, kb_relative_information_score: 2481.7195, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.905, predictive_accuracy: 0.9052, prior_entropy: 2.5207, recall: 0.9052, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8305, kappa: 0.7911, kb_relative_information_score: 2229.1973, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.844, predictive_accuracy: 0.8287, prior_entropy: 2.5207, recall: 0.8287, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.239, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 335.9106, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9865, kappa: 0.9834, kb_relative_information_score: 2751.669, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9866, predictive_accuracy: 0.9864, prior_entropy: 2.5207, recall: 0.9864, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0003, kb_relative_information_score: 336.2199, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9878, kappa: 0.9851, kb_relative_information_score: 2756.4528, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 2.5207, recall: 0.9878, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.1724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.4648, kappa: 0.3408, kb_relative_information_score: 1041.3028, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.5112, predictive_accuracy: 0.4599, prior_entropy: 2.5207, recall: 0.4599, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.1487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9553, kappa: 0.9454, kb_relative_information_score: 2648.8333, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 2.5207, recall: 0.9553, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.4514, kappa: 0.3329, kb_relative_information_score: 1047.4337, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.4661, predictive_accuracy: 0.4499, prior_entropy: 2.5207, recall: 0.4499, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.1593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4446, f_measure: 0.0617, kappa: -0.1081, kb_relative_information_score: -86.6925, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.0725, predictive_accuracy: 0.0737, prior_entropy: 2.5207, recall: 0.0737, relative_absolute_error: 1.1315, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.2387, kappa: 0.0669, kb_relative_information_score: 438.2637, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2552, predictive_accuracy: 0.2582, prior_entropy: 2.5207, recall: 0.2582, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.3462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9961, kb_relative_information_score: 2784.7826, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 2.5207, recall: 0.9968, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9993, kappa: 0.9991, kb_relative_information_score: 2793.6303, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 2.5207, recall: 0.9993, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0154, root_relative_squared_error: 0.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9993, kappa: 0.9991, kb_relative_information_score: 2793.6303, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 2.5207, recall: 0.9993, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0154, root_relative_squared_error: 0.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8237, kappa: 0.7688, kb_relative_information_score: 2163.9752, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9068, predictive_accuracy: 0.8104, prior_entropy: 2.5207, recall: 0.8104, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.6805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4466, f_measure: 0.0917, kappa: -0.1057, kb_relative_information_score: -3.5874, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.0959, predictive_accuracy: 0.1091, prior_entropy: 2.5207, recall: 0.1091, relative_absolute_error: 1.0883, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.545, root_relative_squared_error: 1.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 335.9106, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.3598,

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