OpenML
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 3921 Supervised Classification jEdit_4.0_4.2 551 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 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

551 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.69, kappa: 0.384, kb_relative_information_score: 91.0344, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6994, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8781, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.69, kappa: 0.384, kb_relative_information_score: 91.0344, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6994, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8781, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.3456, kb_relative_information_score: -0.0147, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7327, kappa: 0.4658, kb_relative_information_score: 125.2453, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7351, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9429, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7262, kappa: 0.452, kb_relative_information_score: 123.8924, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7263, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.949, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7258, kappa: 0.4515, kb_relative_information_score: 122.4716, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7269, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9455, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7222, kappa: 0.4443, kb_relative_information_score: 119.4749, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.723, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9536, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.702, kappa: 0.4124, kb_relative_information_score: 112.121, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7218, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9912, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3456, kb_relative_information_score: 5.8158, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6993, root_relative_squared_error: 1.399, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7445, kappa: 0.4886, kb_relative_information_score: 78.9152, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7445, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8458, scimark_benchmark: 935.6052, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7254, kappa: 0.4512, kb_relative_information_score: 70.2798, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7278, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8704, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7299, kappa: 0.4601, kb_relative_information_score: 86.8383, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7306, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8485, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7153, kappa: 0.4302, kb_relative_information_score: 100.3535, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8821, scimark_benchmark: 903.4813, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 890.5596, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7297, kappa: 0.4591, kb_relative_information_score: 83.3605, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7301, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8539, scimark_benchmark: 946.6409, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 107.5273, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8893, scimark_benchmark: 946.9304, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 949.7766, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 936.4883, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 1295.609, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7299, kappa: 0.4601, kb_relative_information_score: 86.8383, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7306, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8485, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1324.9519, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7299, kappa: 0.4601, kb_relative_information_score: 86.8383, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7306, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8485, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7297, kappa: 0.4591, kb_relative_information_score: 83.3605, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7301, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8539, scimark_benchmark: 1345.6844, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1306.8702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 107.5273, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8893, scimark_benchmark: 1332.9478, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 1339.2472, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7153, kappa: 0.4302, kb_relative_information_score: 100.3535, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8821, scimark_benchmark: 1330.3848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 1339.4412, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7153, kappa: 0.4302, kb_relative_information_score: 100.3535, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8821, scimark_benchmark: 1267.7714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7263, kappa: 0.4522, kb_relative_information_score: 95.9845, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7262, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1338.6772, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1306.468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1322.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7297, kappa: 0.4591, kb_relative_information_score: 83.3605, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7301, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8539, scimark_benchmark: 1278.9821, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 107.5273, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8893, scimark_benchmark: 1292.514, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1330.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7372, kappa: 0.4747, kb_relative_information_score: 73.7771, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7379, predictive_accuracy: 0.7372, prior_entropy: 0.9997, recall: 0.7372, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8603, scimark_benchmark: 1330.8256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 1357.7543, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 1310.9968, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7297, kappa: 0.4591, kb_relative_information_score: 83.3605, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7301, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8539, scimark_benchmark: 1332.6143, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7113, kappa: 0.4224, kb_relative_information_score: 108.9388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7119, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.952, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7482, kappa: 0.4962, kb_relative_information_score: 100.2263, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7482, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8232, scimark_benchmark: 1334.6745, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.6971, kappa: 0.3944, kb_relative_information_score: 72.1639, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6976, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9202, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7336, kappa: 0.467, kb_relative_information_score: 82.5994, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7336, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8302, scimark_benchmark: 1320.9366, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7299, kappa: 0.4601, kb_relative_information_score: 86.8383, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7306, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8485, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7153, kappa: 0.4302, kb_relative_information_score: 100.3535, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8821, scimark_benchmark: 1227.9507, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 1335.643,

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