OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


Metric:

19004 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7705, kappa: 0.1867, kb_relative_information_score: 0.0702, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8124, prior_entropy: 0.7087, recall: 0.8124, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7759, kappa: 0.2068, kb_relative_information_score: 0.0771, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8155, prior_entropy: 0.7087, recall: 0.8155, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.7601, kappa: 0.1439, kb_relative_information_score: 0.2921, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7857, kappa: 0.2549, kb_relative_information_score: 0.1302, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.812, prior_entropy: 0.7087, recall: 0.812, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.7686, kappa: 0.178, kb_relative_information_score: 0.0585, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7759, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.8593, 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: 0.6809, f_measure: 0.7682, kappa: 0.2242, kb_relative_information_score: 0.0766, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7599, predictive_accuracy: 0.7802, prior_entropy: 0.7087, recall: 0.7802, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.42, root_relative_squared_error: 1.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7848, kappa: 0.2452, kb_relative_information_score: 0.1085, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7866, kappa: 0.2574, kb_relative_information_score: 0.1061, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.772, kappa: 0.1961, kb_relative_information_score: 0.0547, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7708, predictive_accuracy: 0.809, prior_entropy: 0.7087, recall: 0.809, relative_absolute_error: 0.8525, 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: 0.7427, f_measure: 0.7784, kappa: 0.2178, kb_relative_information_score: 0.0808, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8155, prior_entropy: 0.7087, recall: 0.8155, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.369, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7804, kappa: 0.2232, kb_relative_information_score: 0.0859, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7087, recall: 0.8186, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.7642, kappa: 0.1595, kb_relative_information_score: 0.2973, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7785, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7656, kappa: 0.1656, kb_relative_information_score: 0.0524, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.776, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.7622, kappa: 0.2142, kb_relative_information_score: 0.0325, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7556, predictive_accuracy: 0.7705, prior_entropy: 0.7087, recall: 0.7705, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.7137, kappa: 0.0974, kb_relative_information_score: -0.1567, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7184, predictive_accuracy: 0.7094, prior_entropy: 0.7087, recall: 0.7094, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7811, kappa: 0.2337, kb_relative_information_score: 0.0701, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8119, prior_entropy: 0.7087, recall: 0.8119, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.777, kappa: 0.211, kb_relative_information_score: 0.3039, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.0862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7697, kappa: 0.1812, kb_relative_information_score: 0.0521, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.8151, prior_entropy: 0.7087, recall: 0.8151, relative_absolute_error: 0.8692, 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: 0.7431, f_measure: 0.7834, kappa: 0.2389, kb_relative_information_score: 0.0889, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7775, kappa: 0.2243, kb_relative_information_score: 0.0697, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7717, predictive_accuracy: 0.8062, prior_entropy: 0.7087, recall: 0.8062, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7805, kappa: 0.2294, kb_relative_information_score: 0.0779, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7966, kappa: 0.2913, kb_relative_information_score: 0.1518, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7964, predictive_accuracy: 0.8226, prior_entropy: 0.7087, recall: 0.8226, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7606, kappa: 0.1454, kb_relative_information_score: 0.0418, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7796, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7833, kappa: 0.2349, kb_relative_information_score: 0.101, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8196, prior_entropy: 0.7087, recall: 0.8196, relative_absolute_error: 0.8209, 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: 0.5685, f_measure: 0.7246, kappa: 0.1325, kb_relative_information_score: -0.0581, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7294, predictive_accuracy: 0.7202, prior_entropy: 0.7087, recall: 0.7202, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.529, root_relative_squared_error: 1.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7474, kappa: 0.0959, kb_relative_information_score: 0.0253, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7756, predictive_accuracy: 0.8116, prior_entropy: 0.7087, recall: 0.8116, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7626, kappa: 0.1531, kb_relative_information_score: 0.0546, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7788, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.8695, 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: 0.7281, f_measure: 0.7547, kappa: 0.1226, kb_relative_information_score: 0.0318, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7831, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7628, kappa: 0.1539, kb_relative_information_score: 0.0396, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, kb_relative_information_score: 0.012, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7671, kappa: 0.1716, kb_relative_information_score: 0.0518, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7541, kappa: 0.1205, kb_relative_information_score: 0.0312, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.781, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.8941, 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: 0.6608, f_measure: 0.7692, kappa: 0.228, kb_relative_information_score: 0.0916, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7611, predictive_accuracy: 0.7812, prior_entropy: 0.7087, recall: 0.7812, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7498, kappa: 0.105, kb_relative_information_score: 0.0283, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8118, prior_entropy: 0.7087, recall: 0.8118, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.7826, kappa: 0.234, kb_relative_information_score: 0.3094, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8174, prior_entropy: 0.7087, recall: 0.8174, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7791, kappa: 0.2323, kb_relative_information_score: 0.0696, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7729, predictive_accuracy: 0.806, prior_entropy: 0.7087, recall: 0.806, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7897, kappa: 0.2705, kb_relative_information_score: 0.1871, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7704, kappa: 0.1851, kb_relative_information_score: 0.0664, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7778, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7713, kappa: 0.1898, kb_relative_information_score: 0.0729, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7759, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7682, kappa: 0.2038, kb_relative_information_score: 0.0226, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.758, predictive_accuracy: 0.7905, prior_entropy: 0.7087, recall: 0.7905, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.7694, kappa: 0.1819, kb_relative_information_score: 0.0612, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7752, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7659, kappa: 0.1966, kb_relative_information_score: 0.0283, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7552, predictive_accuracy: 0.7879, prior_entropy: 0.7087, recall: 0.7879, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7917, kappa: 0.2831, kb_relative_information_score: 0.2281, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.786, predictive_accuracy: 0.8125, prior_entropy: 0.7087, recall: 0.8125, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3971, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.7785, kappa: 0.2167, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, predictive_accuracy: 0.8171, prior_entropy: 0.7087, recall: 0.8171, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7674, kappa: 0.2193, kb_relative_information_score: 0.06, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7586, predictive_accuracy: 0.7806, prior_entropy: 0.7087, recall: 0.7806, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7811, kappa: 0.2268, kb_relative_information_score: 0.096, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8181, prior_entropy: 0.7087, recall: 0.8181, relative_absolute_error: 0.825, 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: 0.748, f_measure: 0.7761, kappa: 0.2074, kb_relative_information_score: 0.0807, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.816, prior_entropy: 0.7087, recall: 0.816, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7282, kappa: 0.0273, kb_relative_information_score: -0.0174, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7138, predictive_accuracy: 0.7979, prior_entropy: 0.7087, recall: 0.7979, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.7832, kappa: 0.2349, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8194, prior_entropy: 0.7087, recall: 0.8194, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.425, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.755, kappa: 0.1619, kb_relative_information_score: -0.0002, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7427, predictive_accuracy: 0.7766, prior_entropy: 0.7087, recall: 0.7766, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4165, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7796, kappa: 0.2222, kb_relative_information_score: 0.0793, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7833, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.7378, kappa: 0.1671, kb_relative_information_score: -0.0038, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7401, predictive_accuracy: 0.7357, prior_entropy: 0.7087, recall: 0.7357, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.2775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, kb_relative_information_score: 0.0148, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.9649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7764, kappa: 0.2081, kb_relative_information_score: 0.0803, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.784, predictive_accuracy: 0.8168, prior_entropy: 0.7087, recall: 0.8168, relative_absolute_error: 0.8393, 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: 0.5549, f_measure: 0.7625, kappa: 0.1541, kb_relative_information_score: 0.2886, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7726, predictive_accuracy: 0.8119, prior_entropy: 0.7087, recall: 0.8119, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7896, kappa: 0.2714, kb_relative_information_score: 0.2045, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.7674, kappa: 0.1722, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7804, kappa: 0.2687, kb_relative_information_score: 0.1285, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.7903, prior_entropy: 0.7087, recall: 0.7903, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7876, kappa: 0.2574, kb_relative_information_score: 0.1354, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7866, predictive_accuracy: 0.8167, prior_entropy: 0.7087, recall: 0.8167, relative_absolute_error: 0.7782, 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: 0.7382, f_measure: 0.7701, kappa: 0.1857, kb_relative_information_score: 0.0465, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7739, predictive_accuracy: 0.8118, prior_entropy: 0.7087, recall: 0.8118, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, kb_relative_information_score: 0.0167, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.6851, kappa: 0.0269, kb_relative_information_score: -0.231, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6964, predictive_accuracy: 0.6751, prior_entropy: 0.7087, recall: 0.6751, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7677, kappa: 0.1741, kb_relative_information_score: 0.0598, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, kb_relative_information_score: 0.0026, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, kb_relative_information_score: 0.0085, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7804, kappa: 0.2628, kb_relative_information_score: 0.1578, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7727, predictive_accuracy: 0.7929, prior_entropy: 0.7087, recall: 0.7929, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7704, kappa: 0.1845, kb_relative_information_score: 0.0662, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.8559, 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: 0.7457, f_measure: 0.7727, kappa: 0.1931, kb_relative_information_score: 0.0667, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.855, 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: 0.7021, f_measure: 0.7817, kappa: 0.2588, kb_relative_information_score: 0.1188, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.7981, prior_entropy: 0.7087, recall: 0.7981, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3955, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7523, kappa: 0.1141, kb_relative_information_score: 0.0298, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7806, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.8961, 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: 0.648, f_measure: 0.7445, kappa: 0.1594, kb_relative_information_score: -0.0105, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7381, predictive_accuracy: 0.7521, prior_entropy: 0.7087, recall: 0.7521, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.79, kappa: 0.2715, kb_relative_information_score: 0.1255, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.7633, kappa: 0.1567, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, kb_relative_information_score: -0.0188, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7699, kappa: 0.1853, kb_relative_information_score: 0.0587, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7723, predictive_accuracy: 0.8108, prior_entropy: 0.7087, recall: 0.8108, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7836, kappa: 0.2382, kb_relative_information_score: 0.0994, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8178, prior_entropy: 0.7087, recall: 0.8178, relative_absolute_error: 0.8188, 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: 0.7252, f_measure: 0.79, kappa: 0.2761, kb_relative_information_score: 0.1988, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8117, prior_entropy: 0.7087, recall: 0.8117, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7848, kappa: 0.2425, kb_relative_information_score: 0.1129, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7761, kappa: 0.2093, kb_relative_information_score: 0.0753, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7792, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7866, kappa: 0.2559, kb_relative_information_score: 0.1737, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7299, kappa: 0.0337, kb_relative_information_score: -0.0186, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7168, predictive_accuracy: 0.7974, prior_entropy: 0.7087, recall: 0.7974, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7436, kappa: 0.0823, kb_relative_information_score: 0.0247, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7756, predictive_accuracy: 0.811, prior_entropy: 0.7087, recall: 0.811, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.7615, kappa: 0.1497, kb_relative_information_score: 0.29, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7747, kappa: 0.2045, kb_relative_information_score: 0.0499, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7766, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7527, kappa: 0.1155, kb_relative_information_score: 0.0324, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7751, kappa: 0.2059, kb_relative_information_score: 0.0682, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7774, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7717, kappa: 0.1873, kb_relative_information_score: 0.07, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8182, prior_entropy: 0.7087, recall: 0.8182, relative_absolute_error: 0.8568, 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: 0.6165, f_measure: 0.7308, kappa: 0.1556, kb_relative_information_score: -0.1378, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7367, predictive_accuracy: 0.7254, prior_entropy: 0.7087, recall: 0.7254, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.7625, kappa: 0.1525, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7266, kappa: 0.0213, kb_relative_information_score: -0.0117, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7276, predictive_accuracy: 0.8041, prior_entropy: 0.7087, recall: 0.8041, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7883, kappa: 0.2662, kb_relative_information_score: 0.1971, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7315, kappa: 0.0387, kb_relative_information_score: 0.0236, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7453, predictive_accuracy: 0.8058, prior_entropy: 0.7087, recall: 0.8058, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7586, kappa: 0.1385, kb_relative_information_score: 0.0402, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7745, predictive_accuracy: 0.8125, prior_entropy: 0.7087, recall: 0.8125, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7244, kappa: 0.014, kb_relative_information_score: -0.0108, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7248, predictive_accuracy: 0.8047, prior_entropy: 0.7087, recall: 0.8047, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.7913, kappa: 0.2771, kb_relative_information_score: 0.2226, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8151, prior_entropy: 0.7087, recall: 0.8151, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.7809, kappa: 0.2262, kb_relative_information_score: 0.3112, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8178, prior_entropy: 0.7087, recall: 0.8178, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7272, kappa: 0.0236, kb_relative_information_score: -0.0223, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7105, predictive_accuracy: 0.7973, prior_entropy: 0.7087, recall: 0.7973, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7285, kappa: 0.0284, kb_relative_information_score: -0.0171, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7153, predictive_accuracy: 0.7984, prior_entropy: 0.7087, recall: 0.7984, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.7503, kappa: 0.1064, kb_relative_information_score: 0.0302, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7894, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7677, kappa: 0.205, kb_relative_information_score: 0.0335, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7574, predictive_accuracy: 0.7885, prior_entropy: 0.7087, recall: 0.7885, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0106,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs