Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19004 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7788, kappa: 0.2161, kb_relative_information_score: 679.2522, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7888, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7893, kappa: 0.2635, kb_relative_information_score: 665.6164, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7888, predictive_accuracy: 0.8181, prior_entropy: 0.7088, recall: 0.8181, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7733, kappa: 0.1929, kb_relative_information_score: 716.3624, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.765, kappa: 0.1624, kb_relative_information_score: 612.7866, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7804, predictive_accuracy: 0.8149, prior_entropy: 0.7088, recall: 0.8149, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7754, kappa: 0.2038, kb_relative_information_score: 756.6449, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7836, predictive_accuracy: 0.8166, prior_entropy: 0.7088, recall: 0.8166, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7531, kappa: 0.1169, kb_relative_information_score: 499.1346, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7706, kappa: 0.1836, kb_relative_information_score: 643.811, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, predictive_accuracy: 0.8169, prior_entropy: 0.7088, recall: 0.8169, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7699, kappa: 0.1818, kb_relative_information_score: 625.1717, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8157, prior_entropy: 0.7088, recall: 0.8157, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7633, kappa: 0.1545, kb_relative_information_score: 570.6675, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7883, predictive_accuracy: 0.817, prior_entropy: 0.7088, recall: 0.817, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7873, kappa: 0.2503, kb_relative_information_score: 878.6066, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7935, predictive_accuracy: 0.8218, prior_entropy: 0.7088, recall: 0.8218, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7852, kappa: 0.2489, kb_relative_information_score: 686.7544, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7834, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7622, kappa: 0.1521, kb_relative_information_score: 583.7058, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.777, predictive_accuracy: 0.8135, prior_entropy: 0.7088, recall: 0.8135, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7672, kappa: 0.1711, kb_relative_information_score: 616.1991, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.815, prior_entropy: 0.7088, recall: 0.815, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.79, kappa: 0.2675, kb_relative_information_score: 863.3775, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7871, kappa: 0.2523, kb_relative_information_score: 881.047, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7608, kappa: 0.1452, kb_relative_information_score: 578.1543, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.7891, kappa: 0.2649, kb_relative_information_score: 772.2229, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7699, kappa: 0.1801, kb_relative_information_score: 670.0297, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7744, kappa: 0.2025, kb_relative_information_score: 676.2362, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7778, predictive_accuracy: 0.8134, prior_entropy: 0.7088, recall: 0.8134, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.779, kappa: 0.2185, kb_relative_information_score: 771.1107, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7785, kappa: 0.2165, kb_relative_information_score: 755.8942, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7845, predictive_accuracy: 0.817, prior_entropy: 0.7088, recall: 0.817, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.7679, kappa: 0.1724, kb_relative_information_score: 743.6794, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7884, predictive_accuracy: 0.8178, prior_entropy: 0.7088, recall: 0.8178, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7841, kappa: 0.2405, kb_relative_information_score: 841.4948, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7744, kappa: 0.199, kb_relative_information_score: 722.6163, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.767, kappa: 0.1697, kb_relative_information_score: 637.8762, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7733, kappa: 0.1931, kb_relative_information_score: 672.6093, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7909, predictive_accuracy: 0.8195, prior_entropy: 0.7088, recall: 0.8195, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7711, kappa: 0.1859, kb_relative_information_score: 631.1866, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8168, prior_entropy: 0.7088, recall: 0.8168, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7604, kappa: 0.1442, kb_relative_information_score: 565.1511, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7902, kappa: 0.2664, kb_relative_information_score: 569.6805, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7903, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 51.6394, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7838, kappa: 0.2371, kb_relative_information_score: 858.2273, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7898, predictive_accuracy: 0.8198, prior_entropy: 0.7088, recall: 0.8198, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7818, kappa: 0.2333, kb_relative_information_score: 745.1141, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8148, prior_entropy: 0.7088, recall: 0.8148, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7785, kappa: 0.2147, kb_relative_information_score: 749.2954, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7897, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7799, kappa: 0.2209, kb_relative_information_score: 796.0553, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7688, kappa: 0.1779, kb_relative_information_score: 600.1947, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7799, predictive_accuracy: 0.8149, prior_entropy: 0.7088, recall: 0.8149, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7842, kappa: 0.2375, kb_relative_information_score: 846.2778, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7922, predictive_accuracy: 0.821, prior_entropy: 0.7088, recall: 0.821, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7672, kappa: 0.1706, kb_relative_information_score: 623.4489, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7729, kappa: 0.1934, kb_relative_information_score: 684.8301, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.779, kappa: 0.2174, kb_relative_information_score: 788.6138, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7548, kappa: 0.1232, kb_relative_information_score: 449.3893, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7785, predictive_accuracy: 0.8132, prior_entropy: 0.7088, recall: 0.8132, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7797, kappa: 0.2202, kb_relative_information_score: 743.8219, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7773, kappa: 0.2104, kb_relative_information_score: 697.4091, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8184, prior_entropy: 0.7088, recall: 0.8184, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.7665, kappa: 0.1688, kb_relative_information_score: 641.4068, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8143, prior_entropy: 0.7088, recall: 0.8143, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7623, kappa: 0.152, kb_relative_information_score: 552.5583, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8141, prior_entropy: 0.7088, recall: 0.8141, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7672, kappa: 0.1711, kb_relative_information_score: 597.6131, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7761, kappa: 0.2055, kb_relative_information_score: 662.5333, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8181, prior_entropy: 0.7088, recall: 0.8181, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7697, kappa: 0.181, kb_relative_information_score: 634.7266, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8157, prior_entropy: 0.7088, recall: 0.8157, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7878, kappa: 0.2552, kb_relative_information_score: 827.6743, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7892, kappa: 0.2603, kb_relative_information_score: 831.5105, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7915, predictive_accuracy: 0.8203, prior_entropy: 0.7088, recall: 0.8203, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7807, kappa: 0.2324, kb_relative_information_score: 614.5933, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.763, kappa: 0.1544, kb_relative_information_score: 558.0986, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7818, kappa: 0.2303, kb_relative_information_score: 796.1641, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7864, predictive_accuracy: 0.8178, prior_entropy: 0.7088, recall: 0.8178, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7757, kappa: 0.2089, kb_relative_information_score: 655.1847, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8127, prior_entropy: 0.7088, recall: 0.8127, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7691, kappa: 0.1781, kb_relative_information_score: 654.1985, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8161, prior_entropy: 0.7088, recall: 0.8161, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7677, kappa: 0.1732, kb_relative_information_score: 636.3907, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.783, kappa: 0.2321, kb_relative_information_score: 740.4445, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.793, predictive_accuracy: 0.8214, prior_entropy: 0.7088, recall: 0.8214, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7713, kappa: 0.1867, kb_relative_information_score: 680.5742, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8166, prior_entropy: 0.7088, recall: 0.8166, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.7744, kappa: 0.1995, kb_relative_information_score: 674.7462, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.784, predictive_accuracy: 0.8168, prior_entropy: 0.7088, recall: 0.8168, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7809, kappa: 0.2318, kb_relative_information_score: 647.0865, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8128, prior_entropy: 0.7088, recall: 0.8128, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7783, kappa: 0.2158, kb_relative_information_score: 682.4457, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8172, prior_entropy: 0.7088, recall: 0.8172, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7886, kappa: 0.2681, kb_relative_information_score: 720.7159, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7836, predictive_accuracy: 0.8124, prior_entropy: 0.7088, recall: 0.8124, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7764, kappa: 0.2064, kb_relative_information_score: 666.7944, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7566, kappa: 0.1299, kb_relative_information_score: 474.4353, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.814, prior_entropy: 0.7088, recall: 0.814, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7575, kappa: 0.1334, kb_relative_information_score: 543.4924, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8143, prior_entropy: 0.7088, recall: 0.8143, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7776, kappa: 0.2208, kb_relative_information_score: 522.681, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7741, predictive_accuracy: 0.8092, prior_entropy: 0.7088, recall: 0.8092, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.766, kappa: 0.1649, kb_relative_information_score: 659.8521, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7838, kappa: 0.2439, kb_relative_information_score: 825.2016, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8137, prior_entropy: 0.7088, recall: 0.8137, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7666, kappa: 0.169, kb_relative_information_score: 609.0027, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8146, prior_entropy: 0.7088, recall: 0.8146, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7798, kappa: 0.2208, kb_relative_information_score: 703.0446, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7822, kappa: 0.2278, kb_relative_information_score: 868.6875, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7953, predictive_accuracy: 0.8223, prior_entropy: 0.7088, recall: 0.8223, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.7737, kappa: 0.1956, kb_relative_information_score: 682.9643, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7897, kappa: 0.2615, kb_relative_information_score: 843.6454, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.793, predictive_accuracy: 0.8213, prior_entropy: 0.7088, recall: 0.8213, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7562, kappa: 0.1285, kb_relative_information_score: 513.7322, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.8141, prior_entropy: 0.7088, recall: 0.8141, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7581, kappa: 0.1353, kb_relative_information_score: 501.4161, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, predictive_accuracy: 0.815, prior_entropy: 0.7088, recall: 0.815, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7703, kappa: 0.1824, kb_relative_information_score: 633.3694, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8169, prior_entropy: 0.7088, recall: 0.8169, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.7795, kappa: 0.2188, kb_relative_information_score: 588.8574, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7888, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7694, kappa: 0.1796, kb_relative_information_score: 624.6483, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8156, prior_entropy: 0.7088, recall: 0.8156, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7719, kappa: 0.1889, kb_relative_information_score: 634.538, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8171, prior_entropy: 0.7088, recall: 0.8171, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7885, kappa: 0.2586, kb_relative_information_score: 536.0694, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7897, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, kb_relative_information_score: 56.2243, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.775, kappa: 0.2008, kb_relative_information_score: 658.8686, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.8181, prior_entropy: 0.7088, recall: 0.8181, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7789, kappa: 0.2197, kb_relative_information_score: 695.0066, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7825, predictive_accuracy: 0.8157, prior_entropy: 0.7088, recall: 0.8157, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7919, kappa: 0.2745, kb_relative_information_score: 772.8094, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7908, predictive_accuracy: 0.819, prior_entropy: 0.7088, recall: 0.819, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7739, kappa: 0.1973, kb_relative_information_score: 694.6368, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7836, kappa: 0.2367, kb_relative_information_score: 659.1928, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7884, predictive_accuracy: 0.8189, prior_entropy: 0.7088, recall: 0.8189, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7689, kappa: 0.1775, kb_relative_information_score: 610.2917, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8158, prior_entropy: 0.7088, recall: 0.8158, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.7792, kappa: 0.2197, kb_relative_information_score: 808.3936, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8171, prior_entropy: 0.7088, recall: 0.8171, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7729, kappa: 0.1937, kb_relative_information_score: 608.9044, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7831, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7792, kappa: 0.2166, kb_relative_information_score: 805.9769, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7923, predictive_accuracy: 0.8208, prior_entropy: 0.7088, recall: 0.8208, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7897, kappa: 0.2644, kb_relative_information_score: 1011.499, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7746, kappa: 0.1991, kb_relative_information_score: 676.2791, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.788, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7814, kappa: 0.2268, kb_relative_information_score: 719.6072, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7894, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7816, kappa: 0.2298, kb_relative_information_score: 793.8448, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.757, kappa: 0.1312, kb_relative_information_score: 485.9891, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8148, prior_entropy: 0.7088, recall: 0.8148, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7732, kappa: 0.1942, kb_relative_information_score: 685.6733, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7687, kappa: 0.1755, kb_relative_information_score: 641.1578, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7775, kappa: 0.2107, kb_relative_information_score: 650.36, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.819, prior_entropy: 0.7088, recall: 0.819, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.777, kappa: 0.2086, kb_relative_information_score: 724.9218, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7678, kappa: 0.1727, kb_relative_information_score: 598.1493, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7836, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7725, kappa: 0.1908, kb_relative_information_score: 687.6948, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7869, predictive_accuracy: 0.8179, prior_entropy: 0.7088, recall: 0.8179, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9229,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs