OpenML
Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 4297 Supervised Classification fri_c2_100_5 206 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

206 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.734, kappa: 0.4406, kb_relative_information_score: 304.571, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.739, prior_entropy: 0.9721, recall: 0.739, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9357, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7779, kappa: 0.5355, kb_relative_information_score: 422.3462, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8214, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7837, kappa: 0.5474, kb_relative_information_score: 488.0453, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7835, predictive_accuracy: 0.785, prior_entropy: 0.9721, recall: 0.785, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8642, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7747, kappa: 0.5264, kb_relative_information_score: 397.0749, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.778, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8001, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.8071, kappa: 0.5941, kb_relative_information_score: 601.1079, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8149, predictive_accuracy: 0.812, prior_entropy: 0.9721, recall: 0.812, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.7207, kappa: 0.4121, kb_relative_information_score: 210.5808, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7266, predictive_accuracy: 0.729, prior_entropy: 0.9721, recall: 0.729, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9068, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7702, kappa: 0.5186, kb_relative_information_score: 411.4898, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7701, predictive_accuracy: 0.772, prior_entropy: 0.9721, recall: 0.772, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8685, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8191, kappa: 0.62, kb_relative_information_score: 497.8316, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8222, predictive_accuracy: 0.822, prior_entropy: 0.9721, recall: 0.822, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.722, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7736, kappa: 0.525, kb_relative_information_score: 450.9838, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.774, predictive_accuracy: 0.776, prior_entropy: 0.9721, recall: 0.776, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8638, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.734, kappa: 0.4406, kb_relative_information_score: 304.571, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.739, prior_entropy: 0.9721, recall: 0.739, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9357, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7779, kappa: 0.5355, kb_relative_information_score: 422.3462, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8214, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7837, kappa: 0.5474, kb_relative_information_score: 488.0453, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7835, predictive_accuracy: 0.785, prior_entropy: 0.9721, recall: 0.785, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8642, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7747, kappa: 0.5264, kb_relative_information_score: 397.0749, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.778, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8001, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7702, kappa: 0.5186, kb_relative_information_score: 411.4898, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7701, predictive_accuracy: 0.772, prior_entropy: 0.9721, recall: 0.772, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8685, scimark_benchmark: 730.6551, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8191, kappa: 0.62, kb_relative_information_score: 497.8316, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8222, predictive_accuracy: 0.822, prior_entropy: 0.9721, recall: 0.822, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.722, scimark_benchmark: 917.5013, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.851, kappa: 0.6871, kb_relative_information_score: 501.6014, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8537, predictive_accuracy: 0.853, prior_entropy: 0.9721, recall: 0.853, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6735, scimark_benchmark: 926.5462, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8509, kappa: 0.6868, kb_relative_information_score: 497.6611, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8539, predictive_accuracy: 0.853, prior_entropy: 0.9721, recall: 0.853, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.678, scimark_benchmark: 932.438, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8569, kappa: 0.6994, kb_relative_information_score: 501.4872, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8604, predictive_accuracy: 0.859, prior_entropy: 0.9721, recall: 0.859, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6799, scimark_benchmark: 938.8535, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8571, kappa: 0.6999, kb_relative_information_score: 501.5965, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8599, predictive_accuracy: 0.859, prior_entropy: 0.9721, recall: 0.859, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6813, scimark_benchmark: 945.2015, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.846, kappa: 0.6766, kb_relative_information_score: 498.7118, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8485, predictive_accuracy: 0.848, prior_entropy: 0.9721, recall: 0.848, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6988, scimark_benchmark: 930.5033, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7725, kappa: 0.5227, kb_relative_information_score: 456.9405, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.773, predictive_accuracy: 0.775, prior_entropy: 0.9721, recall: 0.775, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8744, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7706, kappa: 0.5189, kb_relative_information_score: 453.0601, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.771, predictive_accuracy: 0.773, prior_entropy: 0.9721, recall: 0.773, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8776, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7724, kappa: 0.5223, kb_relative_information_score: 454.8986, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.773, predictive_accuracy: 0.775, prior_entropy: 0.9721, recall: 0.775, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8731, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7736, kappa: 0.525, kb_relative_information_score: 450.9838, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.774, predictive_accuracy: 0.776, prior_entropy: 0.9721, recall: 0.776, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8638, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7837, kappa: 0.5455, kb_relative_information_score: 445.2143, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7858, predictive_accuracy: 0.787, prior_entropy: 0.9721, recall: 0.787, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8471, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.1574, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8291, kappa: 0.6415, kb_relative_information_score: 633.6914, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8305, predictive_accuracy: 0.831, prior_entropy: 0.9721, recall: 0.831, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8126, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.82, kappa: 0.6222, kb_relative_information_score: 614.0017, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8213, predictive_accuracy: 0.822, prior_entropy: 0.9721, recall: 0.822, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8213, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7903, kappa: 0.5598, kb_relative_information_score: 561.1473, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7916, predictive_accuracy: 0.793, prior_entropy: 0.9721, recall: 0.793, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8736, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7782, kappa: 0.5342, kb_relative_information_score: 528.595, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7793, predictive_accuracy: 0.781, prior_entropy: 0.9721, recall: 0.781, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8942, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7613, kappa: 0.4992, kb_relative_information_score: 490.4145, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7617, predictive_accuracy: 0.764, prior_entropy: 0.9721, recall: 0.764, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.951, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 152.5972, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.764, kappa: 0.5037, kb_relative_information_score: 433.7426, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7679, predictive_accuracy: 0.769, prior_entropy: 0.9721, recall: 0.769, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9222, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 169.8758, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8768, scimark_benchmark: 942.6192, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.77, kappa: 0.5172, kb_relative_information_score: 281.914, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.771, predictive_accuracy: 0.773, prior_entropy: 0.9721, recall: 0.773, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8536, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.734, kappa: 0.4406, kb_relative_information_score: 304.571, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.739, prior_entropy: 0.9721, recall: 0.739, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9357, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7779, kappa: 0.5355, kb_relative_information_score: 422.5453, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8204, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7837, kappa: 0.5474, kb_relative_information_score: 488.0453, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7835, predictive_accuracy: 0.785, prior_entropy: 0.9721, recall: 0.785, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8642, scimark_benchmark: 845.538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 939.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7747, kappa: 0.5264, kb_relative_information_score: 397.0749, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.778, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8001, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.7207, kappa: 0.4121, kb_relative_information_score: 210.5808, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7266, predictive_accuracy: 0.729, prior_entropy: 0.9721, recall: 0.729, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9068, scimark_benchmark: 938.5476, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7702, kappa: 0.5186, kb_relative_information_score: 411.4898, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7701, predictive_accuracy: 0.772, prior_entropy: 0.9721, recall: 0.772, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8685, scimark_benchmark: 910.6607, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8191, kappa: 0.62, kb_relative_information_score: 497.8316, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8222, predictive_accuracy: 0.822, prior_entropy: 0.9721, recall: 0.822, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.722, scimark_benchmark: 935.627, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.734, kappa: 0.4406, kb_relative_information_score: 304.571, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.739, prior_entropy: 0.9721, recall: 0.739, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9357, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7779, kappa: 0.5355, kb_relative_information_score: 422.5453, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8204, scimark_benchmark: 927.6823, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1316.7101, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7779, kappa: 0.5355, kb_relative_information_score: 422.3462, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8214, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7513, kappa: 0.4807, kb_relative_information_score: 441.138, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8829, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.734, kappa: 0.4406, kb_relative_information_score: 304.571, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.736, predictive_accuracy: 0.739, prior_entropy: 0.9721, recall: 0.739, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9357, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7513, kappa: 0.4807, kb_relative_information_score: 441.138, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8829, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7513, kappa: 0.4807, kb_relative_information_score: 441.138, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8829, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7513, kappa: 0.4807, kb_relative_information_score: 441.138, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8829, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7513, kappa: 0.4807, kb_relative_information_score: 441.138, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8829, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7779, kappa: 0.5355, kb_relative_information_score: 422.3462, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7776, predictive_accuracy: 0.779, prior_entropy: 0.9721, recall: 0.779, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8214, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7513, kappa: 0.4807, kb_relative_information_score: 441.138, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8829, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.7207, kappa: 0.4121, kb_relative_information_score: 210.5808, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7266, predictive_accuracy: 0.729, prior_entropy: 0.9721, recall: 0.729, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9068, scimark_benchmark: 1319.952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.8062, kappa: 0.5921, kb_relative_information_score: 598.9923, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8137, predictive_accuracy: 0.811, prior_entropy: 0.9721, recall: 0.811, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7496, kappa: 0.475, kb_relative_information_score: 397.4416, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7495, predictive_accuracy: 0.752, prior_entropy: 0.9721, recall: 0.752, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8812, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7702, kappa: 0.5186, kb_relative_information_score: 411.4898, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7701, predictive_accuracy: 0.772, prior_entropy: 0.9721, recall: 0.772, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8685, scimark_benchmark: 1320.8283, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8191, kappa: 0.62, kb_relative_information_score: 497.8316, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8222, predictive_accuracy: 0.822, prior_entropy: 0.9721, recall: 0.822, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.722, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7608, kappa: 0.4996, kb_relative_information_score: 341.8344, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7603, predictive_accuracy: 0.762, prior_entropy: 0.9721, recall: 0.762, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8792, scimark_benchmark: 1317.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.754, kappa: 0.4829, kb_relative_information_score: 413.5515, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7557, predictive_accuracy: 0.758, prior_entropy: 0.9721, recall: 0.758, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9457, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7837, kappa: 0.5474, kb_relative_information_score: 488.0453, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7835, predictive_accuracy: 0.785, prior_entropy: 0.9721, recall: 0.785, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8642, scimark_benchmark: 1309.4708,

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