Task
Supervised Classification on har

Supervised Classification on har

Task 14970 Supervised Classification har 13851 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_99
Issue #Downvotes for this reason By


Metric:

13851 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: 0.9335, f_measure: 0.7491, kappa: 0.7158, kb_relative_information_score: 3617.4663, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7968, predictive_accuracy: 0.7643, prior_entropy: 2.5759, recall: 0.7643, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9532, kappa: 0.9437, kb_relative_information_score: 3900.4156, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9532, predictive_accuracy: 0.9532, prior_entropy: 2.5759, recall: 0.9532, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.312, root_relative_squared_error: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8914, kappa: 0.8705, kb_relative_information_score: 9095.9398, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8977, predictive_accuracy: 0.8924, prior_entropy: 2.5759, recall: 0.8924, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9695, kappa: 0.9633, kb_relative_information_score: 9803.8431, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 2.5759, recall: 0.9695, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 3940.4768, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, recall: 0.9849, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9664, kappa: 0.9596, kb_relative_information_score: 9614.4256, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9667, predictive_accuracy: 0.9664, prior_entropy: 2.5759, recall: 0.9664, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9646, kappa: 0.9574, kb_relative_information_score: 9719.9167, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 2.5759, recall: 0.9646, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7323, kappa: 0.6906, kb_relative_information_score: 7410.0902, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7828, predictive_accuracy: 0.7421, prior_entropy: 2.5759, recall: 0.7421, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9737, kappa: 0.9683, kb_relative_information_score: 9766.2884, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9738, predictive_accuracy: 0.9737, prior_entropy: 2.5759, recall: 0.9737, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9656, kappa: 0.9588, kb_relative_information_score: 9796.7224, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 2.5759, recall: 0.9657, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.819, kappa: 0.7821, kb_relative_information_score: 8217.0315, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8232, predictive_accuracy: 0.8191, prior_entropy: 2.5759, recall: 0.8191, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7369, kappa: 0.698, kb_relative_information_score: 7663.8425, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7902, predictive_accuracy: 0.7482, prior_entropy: 2.5759, recall: 0.7482, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.741, kappa: 0.6996, kb_relative_information_score: 7486.8742, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7887, predictive_accuracy: 0.7496, prior_entropy: 2.5759, recall: 0.7496, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9464, kappa: 0.9356, kb_relative_information_score: 9562.973, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9466, predictive_accuracy: 0.9465, prior_entropy: 2.5759, recall: 0.9465, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.0599, kb_relative_information_score: 0.6527, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.0356, predictive_accuracy: 0.1888, prior_entropy: 2.5759, recall: 0.1888, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3722, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.7115, kappa: 0.6659, kb_relative_information_score: 7152.8422, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7415, predictive_accuracy: 0.7229, prior_entropy: 2.5759, recall: 0.7229, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9425, kappa: 0.9309, kb_relative_information_score: 9625.8217, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 2.5759, recall: 0.9425, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8722, kappa: 0.8465, kb_relative_information_score: 8821.8695, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8739, predictive_accuracy: 0.8724, prior_entropy: 2.5759, recall: 0.8724, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.554, usercpu_time_millis: 28.11, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 27.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9847, kappa: 0.9815, kb_relative_information_score: 10130.334, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 2.5759, recall: 0.9847, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8999, kappa: 0.8802, kb_relative_information_score: 9136.211, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9, predictive_accuracy: 0.9004, prior_entropy: 2.5759, recall: 0.9004, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8762, kappa: 0.8513, kb_relative_information_score: 8590.9097, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.879, predictive_accuracy: 0.8765, prior_entropy: 2.5759, recall: 0.8765, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9804, kappa: 0.9764, kb_relative_information_score: 10087.1887, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 2.5759, recall: 0.9804, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9779, kappa: 0.9734, kb_relative_information_score: 10059.3771, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.978, predictive_accuracy: 0.9779, prior_entropy: 2.5759, recall: 0.9779, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.968, kappa: 0.9616, kb_relative_information_score: 9941.052, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 2.5759, recall: 0.9681, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.2589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8228, kappa: 0.7872, kb_relative_information_score: 8294.1103, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8303, predictive_accuracy: 0.823, prior_entropy: 2.5759, recall: 0.823, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.98, kappa: 0.9759, kb_relative_information_score: 9329.9925, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 2.5759, recall: 0.98, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.943, kappa: 0.9314, kb_relative_information_score: 9631.9316, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 2.5759, recall: 0.943, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.3649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7957, kappa: 0.7515, kb_relative_information_score: 7963.1835, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8019, predictive_accuracy: 0.7933, prior_entropy: 2.5759, recall: 0.7933, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9821, kappa: 0.9785, kb_relative_information_score: 3938.7496, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 2.5759, recall: 0.9821, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8212, kappa: 0.785, kb_relative_information_score: 8274.4973, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.829, predictive_accuracy: 0.8211, prior_entropy: 2.5759, recall: 0.8211, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9459, kappa: 0.9348, kb_relative_information_score: 9646.3264, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9464, predictive_accuracy: 0.9458, prior_entropy: 2.5759, recall: 0.9458, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.91, kappa: 0.8923, kb_relative_information_score: 9149.6628, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.911, predictive_accuracy: 0.9105, prior_entropy: 2.5759, recall: 0.9105, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9612, kappa: 0.9534, kb_relative_information_score: 9809.4048, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 2.5759, recall: 0.9613, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9903, kappa: 0.9883, kb_relative_information_score: 10158.344, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 2.5759, recall: 0.9903, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.6753, kappa: 0.5645, kb_relative_information_score: 5384.6595, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8463, predictive_accuracy: 0.6327, prior_entropy: 2.5759, recall: 0.6327, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kappa: -0.0164, kb_relative_information_score: 59.5261, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1754, prior_entropy: 2.5759, recall: 0.1754, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, kappa: -0.0095, kb_relative_information_score: 165.0141, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.181, prior_entropy: 2.5759, recall: 0.181, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9693, kappa: 0.9631, kb_relative_information_score: 9735.6083, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9694, predictive_accuracy: 0.9693, prior_entropy: 2.5759, recall: 0.9693, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.964, kappa: 0.9567, kb_relative_information_score: 9559.8557, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 2.5759, recall: 0.964, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.989, kappa: 0.9868, kb_relative_information_score: 10119.176, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 2.5759, recall: 0.989, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9643, kappa: 0.957, kb_relative_information_score: 9549.4861, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 2.5759, recall: 0.9643, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9686, kappa: 0.9622, kb_relative_information_score: 9590.7753, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 2.5759, recall: 0.9685, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8391, kappa: 0.8056, kb_relative_information_score: 8289.3581, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8498, predictive_accuracy: 0.8381, prior_entropy: 2.5759, recall: 0.8381, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8168, kappa: 0.7798, kb_relative_information_score: 8128.3595, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8358, predictive_accuracy: 0.8166, prior_entropy: 2.5759, recall: 0.8166, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9219, kappa: 0.906, kb_relative_information_score: 8353.0434, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9219, predictive_accuracy: 0.9218, prior_entropy: 2.5759, recall: 0.9218, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9606, kappa: 0.9526, kb_relative_information_score: 9552.4704, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 2.5759, recall: 0.9606, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.9518, kb_relative_information_score: 9701.3034, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 2.5759, recall: 0.9599, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7347, kappa: 0.6822, kb_relative_information_score: 7309.2042, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7394, predictive_accuracy: 0.7355, prior_entropy: 2.5759, recall: 0.7355, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9716, kappa: 0.9659, kb_relative_information_score: 9784.3244, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 2.5759, recall: 0.9716, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8131, kappa: 0.7597, kb_relative_information_score: 7859.6268, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8869, predictive_accuracy: 0.7991, prior_entropy: 2.5759, recall: 0.7991, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7435, kappa: 0.697, kb_relative_information_score: 6073.0008, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.7579, predictive_accuracy: 0.7481, prior_entropy: 2.5759, recall: 0.7481, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9886, kappa: 0.9863, kb_relative_information_score: 10122.4656, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 2.5759, recall: 0.9886, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kappa: 0.0002, kb_relative_information_score: 12.3291, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1878, prior_entropy: 2.5759, recall: 0.1878, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9404, kappa: 0.9282, kb_relative_information_score: 393.8278, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.941, predictive_accuracy: 0.9403, prior_entropy: 2.5759, recall: 0.9403, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8541, kappa: 0.8229, kb_relative_information_score: 7180.7896, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8764, predictive_accuracy: 0.8527, prior_entropy: 2.5759, recall: 0.8527, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.2108, kappa: 0.0911, kb_relative_information_score: 824.0292, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.2794, predictive_accuracy: 0.2548, prior_entropy: 2.5759, recall: 0.2548, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9687, kappa: 0.9624, kb_relative_information_score: 9634.364, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 2.5759, recall: 0.9687, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, kappa: 0.2361, kb_relative_information_score: 269.0472, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.3778, prior_entropy: 2.5759, recall: 0.3778, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9635, kappa: 0.9561, kb_relative_information_score: 9557.216, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 2.5759, recall: 0.9635, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9818, kappa: 0.9782, kb_relative_information_score: 10048.4187, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 2.5759, recall: 0.9818, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9856, kappa: 0.9827, kb_relative_information_score: 623.4627, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 2.5759, recall: 0.9856, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9894, kb_relative_information_score: 10166.4299, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 2.5759, recall: 0.9912, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9932, kappa: 0.9918, kb_relative_information_score: 10193.3462, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 2.5759, recall: 0.9932, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9778, kappa: 0.9733, kb_relative_information_score: 10012.8606, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 2.5759, recall: 0.9778, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9472, kappa: 0.9365, kb_relative_information_score: 9607.9878, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9473, predictive_accuracy: 0.9472, prior_entropy: 2.5759, recall: 0.9472, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9915, kb_relative_information_score: 652.7796, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 2.5759, recall: 0.9929, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9713, kappa: 0.9654, kb_relative_information_score: 9671.8963, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9714, predictive_accuracy: 0.9713, prior_entropy: 2.5759, recall: 0.9713, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.2549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9806, kb_relative_information_score: 10069.4323, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 2.5759, recall: 0.9839, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.1759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9814, kappa: 0.9776, kb_relative_information_score: 9893.0973, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 2.5759, recall: 0.9814, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9702, kappa: 0.9641, kb_relative_information_score: 9648.5603, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 2.5759, recall: 0.9702, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9715, kappa: 0.9657, kb_relative_information_score: 9676.8748, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 2.5759, recall: 0.9715, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.2543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9925, kb_relative_information_score: 10199.6146, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 2.5759, recall: 0.9938, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9543, kappa: 0.9443, kb_relative_information_score: 9660.0881, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9562, predictive_accuracy: 0.9537, prior_entropy: 2.5759, recall: 0.9537, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8702, kappa: 0.8443, kb_relative_information_score: 8696.0531, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8756, predictive_accuracy: 0.8705, prior_entropy: 2.5759, recall: 0.8705, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9678, kappa: 0.9612, kb_relative_information_score: 692.1767, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 2.5759, recall: 0.9678, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9662, kappa: 0.9594, kb_relative_information_score: 9550.3491, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9664, predictive_accuracy: 0.9662, prior_entropy: 2.5759, recall: 0.9662, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9892, kappa: 0.987, kb_relative_information_score: 10118.3717, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 2.5759, recall: 0.9892, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kappa: 0.0001, kb_relative_information_score: 10.1493, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1885, prior_entropy: 2.5759, recall: 0.1885, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9661, kappa: 0.9592, kb_relative_information_score: 9571.7027, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 2.5759, recall: 0.9661, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: 0.0003, kb_relative_information_score: 10.1662, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.189, prior_entropy: 2.5759, recall: 0.189, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9353, kappa: 0.9224, kb_relative_information_score: 373.4513, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9366, predictive_accuracy: 0.9355, prior_entropy: 2.5759, recall: 0.9355, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9386, kappa: 0.9262, kb_relative_information_score: 8827.7056, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9389, predictive_accuracy: 0.9386, prior_entropy: 2.5759, recall: 0.9386, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.158, root_relative_squared_error: 0.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9433, kappa: 0.9318, kb_relative_information_score: 9549.6562, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 2.5759, recall: 0.9433, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.977, kappa: 0.9723, kb_relative_information_score: 9819.1294, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9771, predictive_accuracy: 0.977, prior_entropy: 2.5759, recall: 0.977, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9868, kappa: 0.9841, kb_relative_information_score: 10104.5116, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 2.5759, recall: 0.9868, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9638, kappa: 0.9564, kb_relative_information_score: 9690.0606, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 2.5759, recall: 0.9638, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9579, kappa: 0.9493, kb_relative_information_score: 9659.8523, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 2.5759, recall: 0.9579, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9904, kappa: 0.9884, kb_relative_information_score: 569.7133, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 2.5759, recall: 0.9904, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9377, kappa: 0.925, kb_relative_information_score: 9499.3452, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9378, predictive_accuracy: 0.9377, prior_entropy: 2.5759, recall: 0.9377, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9834, kappa: 0.98, kb_relative_information_score: 10072.269, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 2.5759, recall: 0.9834, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kappa: 0.0002, kb_relative_information_score: 28.518, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1885, prior_entropy: 2.5759, recall: 0.1885, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7862, kappa: 0.7459, kb_relative_information_score: 6708.0147, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8188, predictive_accuracy: 0.7881, prior_entropy: 2.5759, recall: 0.7881, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.97, kappa: 0.9639, kb_relative_information_score: 9662.1683, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 2.5759, recall: 0.97, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.905, kappa: 0.8857, kb_relative_information_score: 8424.2796, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9053, predictive_accuracy: 0.9049, prior_entropy: 2.5759, recall: 0.9049, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9662, kappa: 0.9594, kb_relative_information_score: 9534.5649, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9663, predictive_accuracy: 0.9662, prior_entropy: 2.5759, recall: 0.9662, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9859, kappa: 0.9831, kb_relative_information_score: 10084.5799, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 2.5759, recall: 0.9859, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9885, kappa: 0.9862, kb_relative_information_score: 10123.8948, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 2.5759, recall: 0.9885, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9935, kb_relative_information_score: 617.3508, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.5759, recall: 0.9946, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9896, kappa: 0.9875, kb_relative_information_score: 10147.2598, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 2.5759, recall: 0.9896, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9894, kappa: 0.9873, kb_relative_information_score: 815.1237, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 2.5759, recall: 0.9894, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9694,

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