Task
Supervised Classification on PizzaCutter1

Supervised Classification on PizzaCutter1

Task 7558 Supervised Classification PizzaCutter1 106 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

106 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.8836, kb_relative_information_score: -28.3944, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.9153, kappa: 0.3103, kb_relative_information_score: -68.8734, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9248, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8836, kb_relative_information_score: 0.735, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2692, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.9054, kappa: 0.2364, kb_relative_information_score: 70.702, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9042, predictive_accuracy: 0.9244, prior_entropy: 0.402, recall: 0.9244, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8836, kb_relative_information_score: -8.7856, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.8919, kappa: 0.2105, kb_relative_information_score: -176.6053, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8863, predictive_accuracy: 0.8986, prior_entropy: 0.402, recall: 0.8986, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2758, root_relative_squared_error: 1.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.926, kappa: 0.4428, kb_relative_information_score: 222.5892, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9236, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.9058, kappa: 0.2805, kb_relative_information_score: -198.3886, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8997, predictive_accuracy: 0.9168, prior_entropy: 0.402, recall: 0.9168, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.927, kappa: 0.4544, kb_relative_information_score: 104.1408, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9244, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9168, kappa: 0.3869, kb_relative_information_score: 118.535, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.913, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.255, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.887, kappa: 0.2792, kb_relative_information_score: -118.3276, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8966, predictive_accuracy: 0.879, prior_entropy: 0.402, recall: 0.879, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3362, root_relative_squared_error: 1.2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.9048, kappa: 0.2217, kb_relative_information_score: -138.2499, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9072, predictive_accuracy: 0.9259, prior_entropy: 0.402, recall: 0.9259, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.8873, kappa: 0.0349, kb_relative_information_score: 191.6726, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9288, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2707, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8836, kb_relative_information_score: -8.7856, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9256, kappa: 0.4045, kb_relative_information_score: -143.5288, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9339, predictive_accuracy: 0.9395, prior_entropy: 0.402, recall: 0.9395, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8976, kappa: 0.1331, kb_relative_information_score: -83.188, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9327, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8836, kb_relative_information_score: -8.7856, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.907, kappa: 0.2556, kb_relative_information_score: -164.8101, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9049, predictive_accuracy: 0.9244, prior_entropy: 0.402, recall: 0.9244, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.8989, kappa: 0.1801, kb_relative_information_score: -211.2568, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8939, predictive_accuracy: 0.9198, prior_entropy: 0.402, recall: 0.9198, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8836, kb_relative_information_score: 2.7393, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2692, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.9004, kappa: 0.2561, kb_relative_information_score: -16.8694, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8941, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.8929, kappa: 0.2741, kb_relative_information_score: -19.7078, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8948, predictive_accuracy: 0.8911, prior_entropy: 0.402, recall: 0.8911, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3275, root_relative_squared_error: 1.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.9045, kappa: 0.2642, kb_relative_information_score: -259.057, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8982, predictive_accuracy: 0.9168, prior_entropy: 0.402, recall: 0.9168, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.258, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8576, kappa: 0.2122, kb_relative_information_score: -593.1996, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8908, predictive_accuracy: 0.8336, prior_entropy: 0.402, recall: 0.8336, relative_absolute_error: 1.2137, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.361, root_relative_squared_error: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.9156, kappa: 0.3215, kb_relative_information_score: -90.7442, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9196, predictive_accuracy: 0.9319, prior_entropy: 0.402, recall: 0.9319, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.231, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.9004, kappa: 0.2561, kb_relative_information_score: -16.8694, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8941, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.8182, kappa: 0.1807, kb_relative_information_score: -808.0662, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8938, predictive_accuracy: 0.7716, prior_entropy: 0.402, recall: 0.7716, relative_absolute_error: 1.5691, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.4621, root_relative_squared_error: 1.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8898, kappa: 0.2627, kb_relative_information_score: -164.7542, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8933, predictive_accuracy: 0.8865, prior_entropy: 0.402, recall: 0.8865, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4431, f_measure: 0.8836, kb_relative_information_score: -42.2995, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.9153, kappa: 0.3103, kb_relative_information_score: -178.2896, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9248, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.9005, kappa: 0.337, kb_relative_information_score: 16.6902, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9042, predictive_accuracy: 0.8971, prior_entropy: 0.402, recall: 0.8971, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3207, root_relative_squared_error: 1.1914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.9103, kappa: 0.2729, kb_relative_information_score: 213.3932, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9139, predictive_accuracy: 0.9289, prior_entropy: 0.402, recall: 0.9289, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.9182, kappa: 0.3449, kb_relative_information_score: 241.4936, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9223, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.258, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.9092, kappa: 0.267, kb_relative_information_score: 204.0263, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9105, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.9232, kappa: 0.39, kb_relative_information_score: 260.2272, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9272, predictive_accuracy: 0.9365, prior_entropy: 0.402, recall: 0.9365, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.8698, kappa: 0.0144, kb_relative_information_score: -67.6111, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8573, predictive_accuracy: 0.8835, prior_entropy: 0.402, recall: 0.8835, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3413, root_relative_squared_error: 1.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.9107, kappa: 0.2854, kb_relative_information_score: 204.0263, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9107, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.8857, kappa: 0.0467, kb_relative_information_score: 129.0919, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8705, predictive_accuracy: 0.9153, prior_entropy: 0.402, recall: 0.9153, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2911, root_relative_squared_error: 1.0811, usercpu_time_millis: 2.678, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.9037, kappa: 0.2808, kb_relative_information_score: 110.3583, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8979, predictive_accuracy: 0.9123, prior_entropy: 0.402, recall: 0.9123, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2962, root_relative_squared_error: 1.1003, usercpu_time_millis: 5.192, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 4.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.7086, kappa: 0.1056, kb_relative_information_score: -1688.0691, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8941, predictive_accuracy: 0.6218, prior_entropy: 0.402, recall: 0.6218, relative_absolute_error: 2.59, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.615, root_relative_squared_error: 2.2843, usercpu_time_millis: 29.343, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 29.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.8925, kappa: 0.0927, kb_relative_information_score: 175.9259, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8997, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2778, root_relative_squared_error: 1.0317, usercpu_time_millis: 1.471, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.8682, kappa: 0.2307, kb_relative_information_score: -273.6809, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8919, predictive_accuracy: 0.8502, prior_entropy: 0.402, recall: 0.8502, relative_absolute_error: 1.0256, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.387, root_relative_squared_error: 1.4375, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 0.517, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.9088, kappa: 0.2855, kb_relative_information_score: 175.9259, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9046, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2778, root_relative_squared_error: 1.0317, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.8939, kappa: 0.1148, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8929, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 14.704, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 14.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.917, kappa: 0.3383, kb_relative_information_score: 232.1268, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9192, predictive_accuracy: 0.9319, prior_entropy: 0.402, recall: 0.9319, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.9692, usercpu_time_millis: 3.948, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.9182, kappa: 0.3449, kb_relative_information_score: 241.4936, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9223, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.258, root_relative_squared_error: 0.9583, usercpu_time_millis: 36.96, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 32.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.913, kappa: 0.2975, kb_relative_information_score: 222.76, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9169, predictive_accuracy: 0.9304, prior_entropy: 0.402, recall: 0.9304, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9799, usercpu_time_millis: 8.883, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 8.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.9006, kappa: 0.2246, kb_relative_information_score: 129.0919, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8934, predictive_accuracy: 0.9153, prior_entropy: 0.402, recall: 0.9153, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2911, root_relative_squared_error: 1.0811, usercpu_time_millis: 71.081, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 71.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.9017, kappa: 0.2295, kb_relative_information_score: 138.4587, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8949, predictive_accuracy: 0.9168, prior_entropy: 0.402, recall: 0.9168, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0714, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.8865, kappa: 0.0314, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8894, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.9016, kappa: 0.2713, kb_relative_information_score: 91.6246, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8959, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.1191, usercpu_time_millis: 3.438, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 2.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.9019, kappa: 0.195, kb_relative_information_score: 185.2927, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9033, predictive_accuracy: 0.9244, prior_entropy: 0.402, recall: 0.9244, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.275, root_relative_squared_error: 1.0216, usercpu_time_millis: 85.562, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 85.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.878, kappa: 0.2417, kb_relative_information_score: -170.646, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8916, predictive_accuracy: 0.8669, prior_entropy: 0.402, recall: 0.8669, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.3553, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.9092, kappa: 0.267, kb_relative_information_score: 204.0263, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9105, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.0009, usercpu_time_millis: 2.138, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 0.684, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 0.759, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.8898, kappa: 0.2627, kb_relative_information_score: -48.8775, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8933, predictive_accuracy: 0.8865, prior_entropy: 0.402, recall: 0.8865, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.2512, usercpu_time_millis: 2.486, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.8996, kappa: 0.2199, kb_relative_information_score: 119.7251, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.892, predictive_accuracy: 0.9138, prior_entropy: 0.402, recall: 0.9138, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2937, root_relative_squared_error: 1.0907, usercpu_time_millis: 1.059, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 42.728, usercpu_time_millis_testing: 3.445, usercpu_time_millis_training: 39.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9058, kappa: 0.2272, kb_relative_information_score: 204.0263, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9113, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.0009, usercpu_time_millis: 3.668, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 3.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.8996, kappa: 0.2199, kb_relative_information_score: 119.7251, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.892, predictive_accuracy: 0.9138, prior_entropy: 0.402, recall: 0.9138, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2937, root_relative_squared_error: 1.0907, usercpu_time_millis: 1.205, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.897, kappa: 0.1441, kb_relative_information_score: 175.9259, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8986, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2778, root_relative_squared_error: 1.0317, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.9044, kappa: 0.2311, kb_relative_information_score: 175.9259, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9015, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2778, root_relative_squared_error: 1.0317, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.9034, kappa: 0.2592, kb_relative_information_score: 129.0919, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8968, predictive_accuracy: 0.9153, prior_entropy: 0.402, recall: 0.9153, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2911, root_relative_squared_error: 1.0811, usercpu_time_millis: 0.56, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.8873, kappa: 0.0349, kb_relative_information_score: 175.9259, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9288, predictive_accuracy: 0.9228, prior_entropy: 0.402, recall: 0.9228, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2778, root_relative_squared_error: 1.0317, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.9206, kappa: 0.3915, kb_relative_information_score: 222.76, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9182, predictive_accuracy: 0.9304, prior_entropy: 0.402, recall: 0.9304, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9799, usercpu_time_millis: 0.746, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.896, kappa: 0.1536, kb_relative_information_score: 147.8255, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8895, predictive_accuracy: 0.9183, prior_entropy: 0.402, recall: 0.9183, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.0617, usercpu_time_millis: 3.84, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 2.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.9004, kappa: 0.2561, kb_relative_information_score: 91.6246, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8941, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.1191, usercpu_time_millis: 3.746, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 2.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.9092, kappa: 0.3738, kb_relative_information_score: 91.6246, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9092, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.1191, usercpu_time_millis: 3.683, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 2.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.9034, kappa: 0.2592, kb_relative_information_score: 129.0919, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8968, predictive_accuracy: 0.9153, prior_entropy: 0.402, recall: 0.9153, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2911, root_relative_squared_error: 1.0811, usercpu_time_millis: 2.68, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.9137, kappa: 0.2916, kb_relative_information_score: 241.4936, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9273, predictive_accuracy: 0.9334, prior_entropy: 0.402, recall: 0.9334, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.258, root_relative_squared_error: 0.9583, usercpu_time_millis: 8.328, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 8.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.9109, kappa: 0.2655, kb_relative_information_score: 232.1268, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9247, predictive_accuracy: 0.9319, prior_entropy: 0.402, recall: 0.9319, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.9692, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 1.295, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.9244, kappa: 0.3972, kb_relative_information_score: 269.594, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9303, predictive_accuracy: 0.938, prior_entropy: 0.402, recall: 0.938, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9251, usercpu_time_millis: 2.75, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 2.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.9081, kappa: 0.2612, kb_relative_information_score: 194.6595, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9075, predictive_accuracy: 0.9259, prior_entropy: 0.402, recall: 0.9259, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2723, root_relative_squared_error: 1.0113, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.9353, kappa: 0.5083, kb_relative_information_score: 297.6944, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9352, predictive_accuracy: 0.9425, prior_entropy: 0.402, recall: 0.9425, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.8906, usercpu_time_millis: 397.262, usercpu_time_millis_testing: 12.368, usercpu_time_millis_training: 384.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.8857, kappa: 0.028, kb_relative_information_score: 157.1923, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8761, predictive_accuracy: 0.9198, prior_entropy: 0.402, recall: 0.9198, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.0518, usercpu_time_millis: 28.801, usercpu_time_millis_testing: 4.444, usercpu_time_millis_training: 24.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.901, kappa: 0.1776, kb_relative_information_score: 194.6595, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9088, predictive_accuracy: 0.9259, prior_entropy: 0.402, recall: 0.9259, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2723, root_relative_squared_error: 1.0113, usercpu_time_millis: 4.885, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 4.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.8996, kappa: 0.2199, kb_relative_information_score: 119.7251, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.892, predictive_accuracy: 0.9138, prior_entropy: 0.402, recall: 0.9138, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2937, root_relative_squared_error: 1.0907, usercpu_time_millis: 1.021, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.8806, kappa: -0.0114, kb_relative_information_score: 129.0919, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8484, predictive_accuracy: 0.9153, prior_entropy: 0.402, recall: 0.9153, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2911, root_relative_squared_error: 1.0811, usercpu_time_millis: 2.981, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.9122, kappa: 0.3029, kb_relative_information_score: 204.0263, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.911, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.0009, usercpu_time_millis: 28.804, usercpu_time_millis_testing: 3.764, usercpu_time_millis_training: 25.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8836, kb_relative_information_score: 166.5591, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0418, usercpu_time_millis: 2.752, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.9081, kappa: 0.2612, kb_relative_information_score: -67.3944, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9075, predictive_accuracy: 0.9259, prior_entropy: 0.402, recall: 0.9259, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.255, root_relative_squared_error: 0.9472, scimark_benchmark: 1244.0451, usercpu_time_millis: 440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.9034, kappa: 0.2592, kb_relative_information_score: 37.7128, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8968, predictive_accuracy: 0.9153, prior_entropy: 0.402, recall: 0.9153, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2712, root_relative_squared_error: 1.0072, scimark_benchmark: 468.7826, usercpu_time_millis: 14770, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 14730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.9141, kappa: 0.4103, kb_relative_information_score: 90.4065, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9145, predictive_accuracy: 0.9138, prior_entropy: 0.402, recall: 0.9138, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2759, root_relative_squared_error: 1.0249, scimark_benchmark: 1251.0239, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.9092, kappa: 0.3738, kb_relative_information_score: 88.369, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9092, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3008, root_relative_squared_error: 1.1172, scimark_benchmark: 1217.8097, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.8991, kappa: 0.3069, kb_relative_information_score: -24.5875, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8995, predictive_accuracy: 0.8986, prior_entropy: 0.402, recall: 0.8986, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.1406, scimark_benchmark: 1229.8537, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8929, kappa: 0.2741, kb_relative_information_score: -27.4504, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8948, predictive_accuracy: 0.8911, prior_entropy: 0.402, recall: 0.8911, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3269, root_relative_squared_error: 1.2142, scimark_benchmark: 1231.3229, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.9092, kappa: 0.3738, kb_relative_information_score: 88.369, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9092, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3008, root_relative_squared_error: 1.1172, scimark_benchmark: 473.1656, usercpu_time_millis: 280, usercpu_time_millis_testing: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.8975, kappa: 0.2107, kb_relative_information_score: -147.4102, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8894, predictive_accuracy: 0.9107, prior_entropy: 0.402, recall: 0.9107, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.998, scimark_benchmark: 1254.1389, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.9004, kappa: 0.2561, kb_relative_information_score: -16.8694, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8941, predictive_accuracy: 0.9092, prior_entropy: 0.402, recall: 0.9092, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.0494, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.8836, kb_relative_information_score: -8.7856, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0001, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.8836, kb_relative_information_score: -436.0622, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8489, predictive_accuracy: 0.9213, prior_entropy: 0.402, recall: 0.9213, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9702, scimark_benchmark: 479.2609, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8929, kappa: 0.2741, kb_relative_information_score: -27.4504, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8948, predictive_accuracy: 0.8911, prior_entropy: 0.402, recall: 0.8911, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3269, root_relative_squared_error: 1.2142, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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