Task
Supervised Classification on PieChart1

Supervised Classification on PieChart1

Task 10097 Supervised Classification PieChart1 102 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.8989, kappa: 0.2599, kb_relative_information_score: -85.9096, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8975, predictive_accuracy: 0.9177, prior_entropy: 0.4287, recall: 0.9177, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.262, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.8722, kb_relative_information_score: -29.9788, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.8722, kb_relative_information_score: -46.6892, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2812, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.8875, kappa: 0.1792, kb_relative_information_score: 22.8378, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8793, predictive_accuracy: 0.9078, prior_entropy: 0.4287, recall: 0.9078, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.8722, kb_relative_information_score: -5.375, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2811, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.8751, kappa: 0.2188, kb_relative_information_score: -246.4984, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8765, predictive_accuracy: 0.8738, prior_entropy: 0.4287, recall: 0.8738, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.9049, kappa: 0.3639, kb_relative_information_score: 177.5398, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9008, predictive_accuracy: 0.9106, prior_entropy: 0.4287, recall: 0.9106, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.9031, kappa: 0.3351, kb_relative_information_score: -522.991, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.898, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 1.0592, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.9031, kappa: 0.3351, kb_relative_information_score: 127.0585, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.898, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9114, kappa: 0.3941, kb_relative_information_score: 106.6299, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9075, predictive_accuracy: 0.9191, prior_entropy: 0.4287, recall: 0.9191, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.8749, kappa: 0.0264, kb_relative_information_score: 180.2753, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8788, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2924, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.8884, kappa: 0.1833, kb_relative_information_score: -183.8296, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8811, predictive_accuracy: 0.9092, prior_entropy: 0.4287, recall: 0.9092, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.267, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.8849, kappa: 0.2983, kb_relative_information_score: -79.2032, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8894, predictive_accuracy: 0.8809, prior_entropy: 0.4287, recall: 0.8809, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.8989, kappa: 0.3013, kb_relative_information_score: 32.2752, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8931, predictive_accuracy: 0.9092, prior_entropy: 0.4287, recall: 0.9092, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.9095, kappa: 0.3444, kb_relative_information_score: -82.6583, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9108, predictive_accuracy: 0.9248, prior_entropy: 0.4287, recall: 0.9248, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.8722, kb_relative_information_score: -105.8535, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.8722, kb_relative_information_score: -5.375, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2811, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.8895, kappa: 0.2079, kb_relative_information_score: -294.8631, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8814, predictive_accuracy: 0.9064, prior_entropy: 0.4287, recall: 0.9064, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8894, kappa: 0.1875, kb_relative_information_score: -291.8021, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8831, predictive_accuracy: 0.9106, prior_entropy: 0.4287, recall: 0.9106, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.9029, kappa: 0.304, kb_relative_information_score: -114.0517, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8996, predictive_accuracy: 0.9177, prior_entropy: 0.4287, recall: 0.9177, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.8918, kappa: 0.2867, kb_relative_information_score: -31.1391, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8878, predictive_accuracy: 0.8965, prior_entropy: 0.4287, recall: 0.8965, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.8844, kappa: 0.2819, kb_relative_information_score: -14.5742, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8866, predictive_accuracy: 0.8823, prior_entropy: 0.4287, recall: 0.8823, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3376, root_relative_squared_error: 1.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8837, kappa: 0.1636, kb_relative_information_score: -290.4035, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8735, predictive_accuracy: 0.9021, prior_entropy: 0.4287, recall: 0.9021, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8222, kappa: 0.2017, kb_relative_information_score: -844.9, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8848, predictive_accuracy: 0.783, prior_entropy: 0.4287, recall: 0.783, relative_absolute_error: 1.3907, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.9083, kappa: 0.3307, kb_relative_information_score: -101.5244, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9109, predictive_accuracy: 0.9248, prior_entropy: 0.4287, recall: 0.9248, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.8884, kappa: 0.2963, kb_relative_information_score: -101.1344, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8888, predictive_accuracy: 0.8879, prior_entropy: 0.4287, recall: 0.8879, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.8011, kappa: 0.1609, kb_relative_information_score: -828.5697, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8789, predictive_accuracy: 0.7532, prior_entropy: 0.4287, recall: 0.7532, relative_absolute_error: 1.5564, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.7072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.8918, kappa: 0.2867, kb_relative_information_score: -31.1391, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8878, predictive_accuracy: 0.8965, prior_entropy: 0.4287, recall: 0.8965, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4709, f_measure: 0.8722, kb_relative_information_score: -20.7567, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2814, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.9029, kappa: 0.304, kb_relative_information_score: -200.6475, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8996, predictive_accuracy: 0.9177, prior_entropy: 0.4287, recall: 0.9177, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8804, kappa: 0.2682, kb_relative_information_score: -40.918, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8846, predictive_accuracy: 0.8766, prior_entropy: 0.4287, recall: 0.8766, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3513, root_relative_squared_error: 1.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.8024, kappa: 0.0798, kb_relative_information_score: -729.3426, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8581, predictive_accuracy: 0.7617, prior_entropy: 0.4287, recall: 0.7617, relative_absolute_error: 1.4983, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.8789, kappa: 0.0717, kb_relative_information_score: 171.5587, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8747, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0548, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.8758, kappa: 0.1757, kb_relative_information_score: -6.9217, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8702, predictive_accuracy: 0.8823, prior_entropy: 0.4287, recall: 0.8823, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3431, root_relative_squared_error: 1.2205, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.8828, kappa: 0.1016, kb_relative_information_score: 188.5568, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8883, predictive_accuracy: 0.9149, prior_entropy: 0.4287, recall: 0.9149, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0377, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.8905, kappa: 0.2972, kb_relative_information_score: 52.5717, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.889, predictive_accuracy: 0.8922, prior_entropy: 0.4287, recall: 0.8922, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3283, root_relative_squared_error: 1.1679, usercpu_time_millis: 1.94, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.8452, kappa: 0.1863, kb_relative_information_score: -363.8826, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.875, predictive_accuracy: 0.8227, prior_entropy: 0.4287, recall: 0.8227, relative_absolute_error: 1.1148, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.4977, usercpu_time_millis: 0.427, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.285, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.8889, kappa: 0.2151, kb_relative_information_score: 120.5643, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8806, predictive_accuracy: 0.9035, prior_entropy: 0.4287, recall: 0.9035, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.1047, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.879, kappa: 0.0583, kb_relative_information_score: 197.0559, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9233, predictive_accuracy: 0.9163, prior_entropy: 0.4287, recall: 0.9163, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2893, root_relative_squared_error: 1.029, usercpu_time_millis: 8.258, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 7.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.7347, kappa: 0.0041, kb_relative_information_score: -1315.7783, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.843, predictive_accuracy: 0.6638, prior_entropy: 0.4287, recall: 0.6638, relative_absolute_error: 2.1137, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.5798, root_relative_squared_error: 2.0623, usercpu_time_millis: 13.855, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 13.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.9062, kappa: 0.328, kb_relative_information_score: 222.5531, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9041, predictive_accuracy: 0.9206, prior_entropy: 0.4287, recall: 0.9206, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0025, usercpu_time_millis: 2.553, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 2.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.9085, kappa: 0.3464, kb_relative_information_score: 231.0522, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9066, predictive_accuracy: 0.922, prior_entropy: 0.4287, recall: 0.922, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9935, usercpu_time_millis: 26.797, usercpu_time_millis_testing: 2.96, usercpu_time_millis_training: 23.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.9027, kappa: 0.295, kb_relative_information_score: 214.054, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9009, predictive_accuracy: 0.9191, prior_entropy: 0.4287, recall: 0.9191, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2843, root_relative_squared_error: 1.0114, usercpu_time_millis: 5.813, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 5.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.8987, kappa: 0.2844, kb_relative_information_score: 171.5587, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.893, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0548, usercpu_time_millis: 0.733, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.8782, kappa: 0.0548, kb_relative_information_score: 188.5568, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8944, predictive_accuracy: 0.9149, prior_entropy: 0.4287, recall: 0.9149, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0377, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.9096, kappa: 0.3657, kb_relative_information_score: 222.5531, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9062, predictive_accuracy: 0.9206, prior_entropy: 0.4287, recall: 0.9206, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0025, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.8662, kappa: 0.2394, kb_relative_information_score: -176.9031, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8816, predictive_accuracy: 0.8539, prior_entropy: 0.4287, recall: 0.8539, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.3596, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.8764, kappa: 0.0616, kb_relative_information_score: 146.0615, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8632, predictive_accuracy: 0.9078, prior_entropy: 0.4287, recall: 0.9078, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.08, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.8972, kappa: 0.2245, kb_relative_information_score: 231.0522, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9098, predictive_accuracy: 0.922, prior_entropy: 0.4287, recall: 0.922, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9935, usercpu_time_millis: 58.091, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 57.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.426, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.8854, kappa: 0.2854, kb_relative_information_score: 1.5773, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8871, predictive_accuracy: 0.8837, prior_entropy: 0.4287, recall: 0.8837, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.341, root_relative_squared_error: 1.2131, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.8968, kappa: 0.2839, kb_relative_information_score: 146.0615, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8905, predictive_accuracy: 0.9078, prior_entropy: 0.4287, recall: 0.9078, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.08, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 26.261, usercpu_time_millis_testing: 1.833, usercpu_time_millis_training: 24.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.887, kappa: 0.1554, kb_relative_information_score: 171.5587, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8824, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0548, usercpu_time_millis: 1.94, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.8968, kappa: 0.2839, kb_relative_information_score: 146.0615, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8905, predictive_accuracy: 0.9078, prior_entropy: 0.4287, recall: 0.9078, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.08, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8898, kappa: 0.1681, kb_relative_information_score: 197.0559, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8928, predictive_accuracy: 0.9163, prior_entropy: 0.4287, recall: 0.9163, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2893, root_relative_squared_error: 1.029, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.8806, kappa: 0.1171, kb_relative_information_score: 129.0633, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8692, predictive_accuracy: 0.905, prior_entropy: 0.4287, recall: 0.905, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.0965, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.8948, kappa: 0.2835, kb_relative_information_score: 120.5643, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8888, predictive_accuracy: 0.9035, prior_entropy: 0.4287, recall: 0.9035, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3106, root_relative_squared_error: 1.1047, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.8774, kappa: 0.0514, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8799, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.9062, kappa: 0.3566, kb_relative_information_score: 188.5568, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9016, predictive_accuracy: 0.9149, prior_entropy: 0.4287, recall: 0.9149, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0377, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.8938, kappa: 0.2364, kb_relative_information_score: 163.0596, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8875, predictive_accuracy: 0.9106, prior_entropy: 0.4287, recall: 0.9106, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.0633, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.8918, kappa: 0.2867, kb_relative_information_score: 78.0689, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8878, predictive_accuracy: 0.8965, prior_entropy: 0.4287, recall: 0.8965, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.1446, usercpu_time_millis: 1.655, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.8907, kappa: 0.3261, kb_relative_information_score: 27.0745, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8937, predictive_accuracy: 0.8879, prior_entropy: 0.4287, recall: 0.8879, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.1907, usercpu_time_millis: 1.801, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.8969, kappa: 0.3001, kb_relative_information_score: 129.0633, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8913, predictive_accuracy: 0.905, prior_entropy: 0.4287, recall: 0.905, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.0965, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.8764, kappa: 0.0616, kb_relative_information_score: 146.0615, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8632, predictive_accuracy: 0.9078, prior_entropy: 0.4287, recall: 0.9078, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.08, usercpu_time_millis: 4.728, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 4.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.8811, kappa: 0.0941, kb_relative_information_score: 171.5587, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8771, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0548, usercpu_time_millis: 0.985, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.9163, kappa: 0.4, kb_relative_information_score: 273.5475, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9178, predictive_accuracy: 0.9291, prior_entropy: 0.4287, recall: 0.9291, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.9473, usercpu_time_millis: 1.751, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.8735, kappa: 0.0644, kb_relative_information_score: 95.0671, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8569, predictive_accuracy: 0.8993, prior_entropy: 0.4287, recall: 0.8993, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.1288, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.8741, kappa: 0.0233, kb_relative_information_score: 171.5587, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8642, predictive_accuracy: 0.9121, prior_entropy: 0.4287, recall: 0.9121, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2966, root_relative_squared_error: 1.0548, usercpu_time_millis: 18.09, usercpu_time_millis_testing: 2.679, usercpu_time_millis_training: 15.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.923, kappa: 0.4698, kb_relative_information_score: 282.0466, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9211, predictive_accuracy: 0.9305, prior_entropy: 0.4287, recall: 0.9305, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9377, usercpu_time_millis: 243.601, usercpu_time_millis_testing: 5.235, usercpu_time_millis_training: 238.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.8679, kappa: -0.0157, kb_relative_information_score: 129.0633, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8338, predictive_accuracy: 0.905, prior_entropy: 0.4287, recall: 0.905, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.0965, usercpu_time_millis: 2.802, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.8968, kappa: 0.2839, kb_relative_information_score: 146.0615, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8905, predictive_accuracy: 0.9078, prior_entropy: 0.4287, recall: 0.9078, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.08, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.8708, kappa: -0.0055, kb_relative_information_score: 163.0596, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8342, predictive_accuracy: 0.9106, prior_entropy: 0.4287, recall: 0.9106, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.0633, usercpu_time_millis: 2.115, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463, usercpu_time_millis: 1.914, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.8995, kappa: 0.28, kb_relative_information_score: 188.5568, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.895, predictive_accuracy: 0.9149, prior_entropy: 0.4287, recall: 0.9149, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0377, usercpu_time_millis: 21.868, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 19.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.8774, kappa: 0.0514, kb_relative_information_score: -80.9982, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8799, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.9585, scimark_benchmark: 1245.8507, usercpu_time_millis: 160370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.8918, kappa: 0.2867, kb_relative_information_score: -149.4634, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8878, predictive_accuracy: 0.8965, prior_entropy: 0.4287, recall: 0.8965, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2952, root_relative_squared_error: 1.0501, scimark_benchmark: 453.7047, usercpu_time_millis: 15630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 15580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.8873, kappa: 0.4076, kb_relative_information_score: -102.1493, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.9143, predictive_accuracy: 0.8709, prior_entropy: 0.4287, recall: 0.8709, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3542, root_relative_squared_error: 1.2597, scimark_benchmark: 1252.4812, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.8907, kappa: 0.3261, kb_relative_information_score: 24.1805, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8937, predictive_accuracy: 0.8879, prior_entropy: 0.4287, recall: 0.8879, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3342, root_relative_squared_error: 1.1888, scimark_benchmark: 1202.7819, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.88, kappa: 0.2349, kb_relative_information_score: -219.3083, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8791, predictive_accuracy: 0.8809, prior_entropy: 0.4287, recall: 0.8809, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2899, root_relative_squared_error: 1.0311, scimark_benchmark: 1228.3896, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.8844, kappa: 0.2819, kb_relative_information_score: -9.964, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8866, predictive_accuracy: 0.8823, prior_entropy: 0.4287, recall: 0.8823, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.338, root_relative_squared_error: 1.2023, scimark_benchmark: 1237.4171, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.8907, kappa: 0.3261, kb_relative_information_score: 24.1805, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8937, predictive_accuracy: 0.8879, prior_entropy: 0.4287, recall: 0.8879, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3342, root_relative_squared_error: 1.1888, scimark_benchmark: 473.1656, usercpu_time_millis: 310, usercpu_time_millis_testing: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8978, kappa: 0.2884, kb_relative_information_score: -108.2428, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8917, predictive_accuracy: 0.9092, prior_entropy: 0.4287, recall: 0.9092, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9762, scimark_benchmark: 1254.1389, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.8918, kappa: 0.2867, kb_relative_information_score: -31.1391, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8878, predictive_accuracy: 0.8965, prior_entropy: 0.4287, recall: 0.8965, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.1078, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.8722, kb_relative_information_score: -5.375, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2811, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.8722, kb_relative_information_score: -370.6561, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.9595, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.8844, kappa: 0.2819, kb_relative_information_score: -9.964, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8866, predictive_accuracy: 0.8823, prior_entropy: 0.4287, recall: 0.8823, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.338, root_relative_squared_error: 1.2023, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.8692, kappa: 0.1121, kb_relative_information_score: -29.3189, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8604, predictive_accuracy: 0.8794, prior_entropy: 0.4287, recall: 0.8794, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.3471, root_relative_squared_error: 1.2347, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.8844, kappa: 0.2819, kb_relative_information_score: -9.964, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8866, predictive_accuracy: 0.8823, prior_entropy: 0.4287, recall: 0.8823, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.338, root_relative_squared_error: 1.2023, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7792, kappa: 0.1986, kb_relative_information_score: -1099.7013, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.898, predictive_accuracy: 0.7191, prior_entropy: 0.4287, recall: 0.7191, relative_absolute_error: 1.8092, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.8236, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 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