Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 13001 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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13001 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7545, kappa: 0.122, kb_relative_information_score: 468.5925, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7799, predictive_accuracy: 0.8135, prior_entropy: 0.7088, recall: 0.8135, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7763, kappa: 0.2063, kb_relative_information_score: 750.8322, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8447, 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: 0.7572, f_measure: 0.7645, kappa: 0.1597, kb_relative_information_score: 662.963, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.865, 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: 0.7538, f_measure: 0.7605, kappa: 0.1446, kb_relative_information_score: 580.1496, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.782, predictive_accuracy: 0.8149, prior_entropy: 0.7088, recall: 0.8149, relative_absolute_error: 0.873, 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: 0.7571, f_measure: 0.7796, kappa: 0.2192, kb_relative_information_score: 699.6425, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8426, 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: 0.7562, f_measure: 0.7835, kappa: 0.2348, kb_relative_information_score: 847.0027, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8205, prior_entropy: 0.7088, recall: 0.8205, relative_absolute_error: 0.8289, 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: 0.7526, f_measure: 0.7676, kappa: 0.1723, kb_relative_information_score: 594.7236, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7826, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.77, kappa: 0.1818, kb_relative_information_score: 609.2349, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7822, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8576, 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: 0.7392, f_measure: 0.7747, kappa: 0.2044, kb_relative_information_score: 594.5216, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7767, predictive_accuracy: 0.8127, prior_entropy: 0.7088, recall: 0.8127, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7838, kappa: 0.2357, kb_relative_information_score: 714.8603, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7926, predictive_accuracy: 0.8212, prior_entropy: 0.7088, recall: 0.8212, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7714, kappa: 0.1861, kb_relative_information_score: 679.567, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.818, prior_entropy: 0.7088, recall: 0.818, relative_absolute_error: 0.8556, 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: 0.7558, f_measure: 0.769, kappa: 0.1775, kb_relative_information_score: 654.8877, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8547, 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: 0.7265, f_measure: 0.7805, kappa: 0.2533, kb_relative_information_score: 653.7856, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7722, predictive_accuracy: 0.7978, prior_entropy: 0.7088, recall: 0.7978, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7791, kappa: 0.2185, kb_relative_information_score: 625.4778, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8469, 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: 0.757, f_measure: 0.7732, kappa: 0.1949, kb_relative_information_score: 722.3456, mean_absolute_error: 0.2638, 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: 0.8452, 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: 0.7544, f_measure: 0.7713, kappa: 0.1865, kb_relative_information_score: 648.2464, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.785, predictive_accuracy: 0.8171, prior_entropy: 0.7088, recall: 0.8171, relative_absolute_error: 0.8528, 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: 0.755, f_measure: 0.7712, kappa: 0.1867, kb_relative_information_score: 670.4918, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.8524, 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: 0.7572, f_measure: 0.7734, kappa: 0.1953, kb_relative_information_score: 666.5884, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7835, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7671, kappa: 0.1701, kb_relative_information_score: 600.0551, mean_absolute_error: 0.2689, 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: 0.8614, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7788, kappa: 0.2163, kb_relative_information_score: 691.6137, mean_absolute_error: 0.2637, 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: 0.8449, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7774, kappa: 0.2098, kb_relative_information_score: 752.1679, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7901, predictive_accuracy: 0.8197, prior_entropy: 0.7088, recall: 0.8197, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.778, kappa: 0.2138, kb_relative_information_score: 748.3747, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7857, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.8381, 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: 0.755, f_measure: 0.7808, kappa: 0.2246, kb_relative_information_score: 786.3049, mean_absolute_error: 0.2601, 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: 0.8332, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7657, kappa: 0.1652, kb_relative_information_score: 601.5955, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.779, predictive_accuracy: 0.8144, prior_entropy: 0.7088, recall: 0.8144, relative_absolute_error: 0.8608, 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: 0.7557, f_measure: 0.7738, kappa: 0.1973, kb_relative_information_score: 725.1137, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7783, kappa: 0.2156, kb_relative_information_score: 760.8569, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.785, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7836, kappa: 0.2355, kb_relative_information_score: 790.4002, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7908, predictive_accuracy: 0.8203, prior_entropy: 0.7088, recall: 0.8203, relative_absolute_error: 0.8306, 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: 0.7568, f_measure: 0.7713, kappa: 0.1873, kb_relative_information_score: 712.6429, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7823, predictive_accuracy: 0.816, prior_entropy: 0.7088, recall: 0.816, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7774, kappa: 0.2101, kb_relative_information_score: 742.2162, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7888, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7796, kappa: 0.2238, kb_relative_information_score: 664.4387, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7808, predictive_accuracy: 0.8144, prior_entropy: 0.7088, recall: 0.8144, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.775, kappa: 0.2029, kb_relative_information_score: 720.6136, mean_absolute_error: 0.262, 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: 0.8395, 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: 0.716, f_measure: 0.7762, kappa: 0.2229, kb_relative_information_score: 385.3022, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7691, predictive_accuracy: 0.8031, prior_entropy: 0.7088, recall: 0.8031, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7874, kappa: 0.2581, kb_relative_information_score: 633.2862, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7667, kappa: 0.1692, kb_relative_information_score: 605.841, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, predictive_accuracy: 0.8149, prior_entropy: 0.7088, recall: 0.8149, relative_absolute_error: 0.8613, 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: 0.7554, f_measure: 0.7742, kappa: 0.1993, kb_relative_information_score: 673.9349, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8464, 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: 0.753, f_measure: 0.7604, kappa: 0.144, kb_relative_information_score: 559.5674, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.8735, 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: 0.7539, f_measure: 0.7653, kappa: 0.1638, kb_relative_information_score: 601.7035, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7793, predictive_accuracy: 0.8145, prior_entropy: 0.7088, recall: 0.8145, relative_absolute_error: 0.8616, 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: 0.7518, f_measure: 0.7745, kappa: 0.2001, kb_relative_information_score: 699.2605, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.773, kappa: 0.196, kb_relative_information_score: 677.849, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7784, predictive_accuracy: 0.814, prior_entropy: 0.7088, recall: 0.814, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7678, kappa: 0.1727, kb_relative_information_score: 612.175, mean_absolute_error: 0.2686, 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: 0.8605, 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: 0.7444, f_measure: 0.7744, kappa: 0.2023, kb_relative_information_score: 657.1981, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8135, prior_entropy: 0.7088, recall: 0.8135, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7772, kappa: 0.212, kb_relative_information_score: 757.0652, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8349, 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: 0.7491, f_measure: 0.7567, kappa: 0.1302, kb_relative_information_score: 512.9404, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8145, prior_entropy: 0.7088, recall: 0.8145, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7871, kappa: 0.2534, kb_relative_information_score: 728.783, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.818, prior_entropy: 0.7088, recall: 0.818, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7739, kappa: 0.1977, kb_relative_information_score: 699.1888, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7772, kappa: 0.2109, kb_relative_information_score: 736.7816, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.8402, 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: 0.7501, f_measure: 0.7879, kappa: 0.2604, kb_relative_information_score: 867.3545, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7857, predictive_accuracy: 0.8156, prior_entropy: 0.7088, recall: 0.8156, relative_absolute_error: 0.8091, 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: 0.7578, f_measure: 0.7824, kappa: 0.2294, kb_relative_information_score: 874.113, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7927, predictive_accuracy: 0.8212, prior_entropy: 0.7088, recall: 0.8212, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7786, kappa: 0.2135, kb_relative_information_score: 817.5128, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7935, predictive_accuracy: 0.8211, prior_entropy: 0.7088, recall: 0.8211, relative_absolute_error: 0.844, 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: 0.7542, f_measure: 0.7698, kappa: 0.1812, kb_relative_information_score: 615.8868, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7825, predictive_accuracy: 0.816, prior_entropy: 0.7088, recall: 0.816, relative_absolute_error: 0.8563, 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: 0.7411, f_measure: 0.785, kappa: 0.2513, kb_relative_information_score: 686.1467, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7811, predictive_accuracy: 0.8122, prior_entropy: 0.7088, recall: 0.8122, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7821, kappa: 0.2358, kb_relative_information_score: 785.1886, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7813, predictive_accuracy: 0.814, prior_entropy: 0.7088, recall: 0.814, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.7854, kappa: 0.248, kb_relative_information_score: 819.6035, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8199, 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: 0.7121, f_measure: 0.7798, kappa: 0.243, kb_relative_information_score: 466.3641, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7717, predictive_accuracy: 0.8012, prior_entropy: 0.7088, recall: 0.8012, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.7698, kappa: 0.1795, kb_relative_information_score: 763.9021, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.791, predictive_accuracy: 0.8189, prior_entropy: 0.7088, recall: 0.8189, relative_absolute_error: 0.856, 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: 0.7576, f_measure: 0.7831, kappa: 0.2334, kb_relative_information_score: 764.5866, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7907, predictive_accuracy: 0.8202, prior_entropy: 0.7088, recall: 0.8202, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7698, kappa: 0.1801, kb_relative_information_score: 634.9526, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7674, kappa: 0.1719, kb_relative_information_score: 613.5711, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7812, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8563, 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: 0.7513, f_measure: 0.7619, kappa: 0.15, kb_relative_information_score: 553.9214, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8711, 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: 0.7489, f_measure: 0.7554, kappa: 0.1254, kb_relative_information_score: 500.5976, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7797, predictive_accuracy: 0.8136, prior_entropy: 0.7088, recall: 0.8136, relative_absolute_error: 0.88, 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: 0.7541, f_measure: 0.7755, kappa: 0.2054, kb_relative_information_score: 747.6051, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7787, kappa: 0.2168, kb_relative_information_score: 688.7384, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8178, prior_entropy: 0.7088, recall: 0.8178, relative_absolute_error: 0.8422, 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: 0.7581, f_measure: 0.7722, kappa: 0.1894, kb_relative_information_score: 672.9212, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8182, prior_entropy: 0.7088, recall: 0.8182, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7824, kappa: 0.2321, kb_relative_information_score: 683.6221, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8185, prior_entropy: 0.7088, recall: 0.8185, relative_absolute_error: 0.8398, 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: 0.7428, f_measure: 0.7525, kappa: 0.1148, kb_relative_information_score: 426.0159, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8132, prior_entropy: 0.7088, recall: 0.8132, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7753, kappa: 0.205, kb_relative_information_score: 667.4015, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7667, kappa: 0.1685, kb_relative_information_score: 587.3545, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7762, kappa: 0.2229, kb_relative_information_score: 415.2207, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7691, predictive_accuracy: 0.8031, prior_entropy: 0.7088, recall: 0.8031, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7751, kappa: 0.2019, kb_relative_information_score: 666.2334, mean_absolute_error: 0.2646, 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: 0.8479, 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: 0.7554, f_measure: 0.7658, kappa: 0.1651, kb_relative_information_score: 610.5125, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7826, predictive_accuracy: 0.8157, prior_entropy: 0.7088, recall: 0.8157, relative_absolute_error: 0.8633, 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: 0.754, f_measure: 0.78, kappa: 0.2223, kb_relative_information_score: 787.2284, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7863, predictive_accuracy: 0.8179, prior_entropy: 0.7088, recall: 0.8179, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7743, kappa: 0.205, kb_relative_information_score: 605.2421, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7733, predictive_accuracy: 0.8102, prior_entropy: 0.7088, recall: 0.8102, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7675, kappa: 0.1716, kb_relative_information_score: 636.3065, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.784, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7835, kappa: 0.2368, kb_relative_information_score: 836.1365, mean_absolute_error: 0.2579, 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: 0.8263, 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: 0.7554, f_measure: 0.7719, kappa: 0.1899, kb_relative_information_score: 697.1869, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7817, predictive_accuracy: 0.8157, prior_entropy: 0.7088, recall: 0.8157, relative_absolute_error: 0.8473, 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: 0.7548, f_measure: 0.7696, kappa: 0.1799, kb_relative_information_score: 638.693, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8559, 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: 0.7507, f_measure: 0.7584, kappa: 0.1365, kb_relative_information_score: 527.6374, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7621, kappa: 0.1513, kb_relative_information_score: 571.3076, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8145, prior_entropy: 0.7088, recall: 0.8145, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.7774, kappa: 0.2108, kb_relative_information_score: 708.0173, mean_absolute_error: 0.2633, 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: 0.8436, 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: 0.7546, f_measure: 0.7897, kappa: 0.2634, kb_relative_information_score: 694.1428, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7907, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8279, 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: 0.7637, f_measure: 0.7767, kappa: 0.2065, kb_relative_information_score: 856.2178, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8201, prior_entropy: 0.7088, recall: 0.8201, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7871, kappa: 0.2563, kb_relative_information_score: 837.8096, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8156, prior_entropy: 0.7088, recall: 0.8156, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7775, kappa: 0.2105, kb_relative_information_score: 666.6605, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8193, prior_entropy: 0.7088, recall: 0.8193, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7692, kappa: 0.1781, kb_relative_information_score: 636.7529, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8166, prior_entropy: 0.7088, recall: 0.8166, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.766, kappa: 0.1662, kb_relative_information_score: 603.0202, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7812, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8629, 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: 0.7492, f_measure: 0.7552, kappa: 0.1248, kb_relative_information_score: 509.2462, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7725, kappa: 0.1908, kb_relative_information_score: 714.3272, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7678, kappa: 0.1729, kb_relative_information_score: 623.4303, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8158, prior_entropy: 0.7088, recall: 0.8158, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7845, kappa: 0.241, kb_relative_information_score: 702.1679, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7883, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7831, kappa: 0.2346, kb_relative_information_score: 827.8095, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7887, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.77, kappa: 0.182, kb_relative_information_score: 618.7528, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.816, prior_entropy: 0.7088, recall: 0.816, relative_absolute_error: 0.8552, 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: 0.7574, f_measure: 0.7825, kappa: 0.2319, kb_relative_information_score: 698.786, mean_absolute_error: 0.262, 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: 0.8396, 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: 0.7544, f_measure: 0.7666, kappa: 0.1683, kb_relative_information_score: 604.2819, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8619, 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: 0.7549, f_measure: 0.7777, kappa: 0.2123, kb_relative_information_score: 755.9017, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7864, predictive_accuracy: 0.818, prior_entropy: 0.7088, recall: 0.818, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7766, kappa: 0.2084, kb_relative_information_score: 658.247, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7845, kappa: 0.2494, kb_relative_information_score: 700.9688, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7806, predictive_accuracy: 0.8119, prior_entropy: 0.7088, recall: 0.8119, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7735, kappa: 0.1952, kb_relative_information_score: 741.4099, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.8472, 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: 0.754, f_measure: 0.7677, kappa: 0.1729, kb_relative_information_score: 618.2691, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.8577, 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: 0.756, f_measure: 0.7724, kappa: 0.1902, kb_relative_information_score: 624.7281, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8182, prior_entropy: 0.7088, recall: 0.8182, relative_absolute_error: 0.858, 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: 0.7557, f_measure: 0.7834, kappa: 0.2363, kb_relative_information_score: 854.4316, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7881, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.923,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs