OpenML
Supervised Classification on echoMonths

Supervised Classification on echoMonths

Task 3807 Supervised Classification echoMonths 519 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

519 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.4189, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7735, kappa: 0.5522, kb_relative_information_score: 54.9209, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7918, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.6414, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8629, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7735, kappa: 0.5522, kb_relative_information_score: 54.9209, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7918, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 56.7409, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7757, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7447, kappa: 0.4911, kb_relative_information_score: 57.0477, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7504, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8631, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7227, kappa: 0.4455, kb_relative_information_score: 45.4629, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7237, predictive_accuracy: 0.7231, prior_entropy: 0.9998, recall: 0.7231, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9129, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6923, kappa: 0.3848, kb_relative_information_score: 41.7969, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6926, predictive_accuracy: 0.6923, prior_entropy: 0.9998, recall: 0.6923, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6922, kappa: 0.3851, kb_relative_information_score: 49.364, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6933, predictive_accuracy: 0.6923, prior_entropy: 0.9998, recall: 0.6923, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1003, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7735, kappa: 0.5522, kb_relative_information_score: 54.9209, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7918, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.6414, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8629, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.3419, kb_relative_information_score: -0.116, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7056, kappa: 0.4139, kb_relative_information_score: 45.8177, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.712, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7765, kappa: 0.5532, kb_relative_information_score: 52.8202, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6615, kappa: 0.3232, kb_relative_information_score: 47.5898, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6619, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9224, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 51.835, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8186, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 927.2917, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 936.3373, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7056, kappa: 0.4139, kb_relative_information_score: 45.8177, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.712, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7765, kappa: 0.5532, kb_relative_information_score: 52.8202, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6615, kappa: 0.3232, kb_relative_information_score: 47.5898, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6619, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9224, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 51.835, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8186, scimark_benchmark: 1051.249, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 934.695, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 917.5013, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 48.4134, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79, scimark_benchmark: 936.3373, usercpu_time_millis: 720, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7873, kappa: 0.5826, kb_relative_information_score: 48.4458, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8189, predictive_accuracy: 0.7923, prior_entropy: 0.9998, recall: 0.7923, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7933, scimark_benchmark: 935.5664, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7799, kappa: 0.5673, kb_relative_information_score: 47.9548, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8075, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7943, scimark_benchmark: 910.2405, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7715, kappa: 0.5517, kb_relative_information_score: 48.3406, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.802, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.7983, scimark_benchmark: 924.2305, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7661, kappa: 0.5368, kb_relative_information_score: 46.6652, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7816, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8022, scimark_benchmark: 936.7184, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7302, kappa: 0.4608, kb_relative_information_score: 52.2129, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.444, root_relative_squared_error: 0.888, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7302, kappa: 0.4608, kb_relative_information_score: 52.2129, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.444, root_relative_squared_error: 0.888, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7302, kappa: 0.4608, kb_relative_information_score: 52.2129, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.444, root_relative_squared_error: 0.888, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7302, kappa: 0.4608, kb_relative_information_score: 52.2129, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.444, root_relative_squared_error: 0.888, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7302, kappa: 0.4608, kb_relative_information_score: 52.2129, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7318, predictive_accuracy: 0.7308, prior_entropy: 0.9998, recall: 0.7308, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.444, root_relative_squared_error: 0.888, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.3419, kb_relative_information_score: -0.116, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7358, kappa: 0.4753, kb_relative_information_score: 61.5428, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7462, predictive_accuracy: 0.7385, prior_entropy: 0.9998, recall: 0.7385, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9726, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7194, kappa: 0.4442, kb_relative_information_score: 57.908, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.733, predictive_accuracy: 0.7231, prior_entropy: 0.9998, recall: 0.7231, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9976, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7558, kappa: 0.5208, kb_relative_information_score: 66.8024, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.785, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9222, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7339, kappa: 0.4748, kb_relative_information_score: 65.505, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7529, predictive_accuracy: 0.7385, prior_entropy: 0.9998, recall: 0.7385, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9256, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 73.686, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8683, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3419, kb_relative_information_score: 1.9569, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7016, root_relative_squared_error: 1.4035, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7447, kappa: 0.4911, kb_relative_information_score: 57.0477, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7504, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8631, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7689, kappa: 0.5379, kb_relative_information_score: 36.1463, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.77, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8205, scimark_benchmark: 923.7471, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.775, kappa: 0.5526, kb_relative_information_score: 33.7269, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7845, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7056, kappa: 0.4139, kb_relative_information_score: 45.8177, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.712, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7765, kappa: 0.5532, kb_relative_information_score: 52.8202, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6615, kappa: 0.3232, kb_relative_information_score: 47.5898, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6619, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9224, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 51.835, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8186, scimark_benchmark: 946.6409, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 946.9304, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 879.4299, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7056, kappa: 0.4139, kb_relative_information_score: 45.8177, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.712, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1340.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1322.0065, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 1327.5842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7765, kappa: 0.5532, kb_relative_information_score: 52.8202, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 1322.5413, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 1332.9478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7056, kappa: 0.4139, kb_relative_information_score: 45.8177, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.712, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1335.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 1331.7953, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1309.0674,

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