Task
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 3544 Supervised Classification analcatdata_broadwaymult 364 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

364 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.3906, kappa: 0.2282, kb_relative_information_score: 71.9146, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.365, predictive_accuracy: 0.4596, prior_entropy: 2.4897, recall: 0.4596, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.2805, kappa: 0.0183, kb_relative_information_score: 11.3843, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2797, predictive_accuracy: 0.3474, prior_entropy: 2.4897, recall: 0.3474, relative_absolute_error: 1.0919, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.1456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.2569, kappa: 0.0122, kb_relative_information_score: 8.4415, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2416, predictive_accuracy: 0.2807, prior_entropy: 2.4897, recall: 0.2807, relative_absolute_error: 1.0731, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3524, root_relative_squared_error: 1.0633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.352, kappa: 0.157, kb_relative_information_score: 39.6212, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4009, predictive_accuracy: 0.4526, prior_entropy: 2.4897, recall: 0.4526, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.2805, kappa: 0.0183, kb_relative_information_score: 12.2594, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2797, predictive_accuracy: 0.3474, prior_entropy: 2.4897, recall: 0.3474, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.4022, kappa: 0.2155, kb_relative_information_score: 17.5463, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3922, predictive_accuracy: 0.4491, prior_entropy: 2.4897, recall: 0.4491, relative_absolute_error: 1.0616, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3364, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.4269, kappa: 0.2785, kb_relative_information_score: 78.9443, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4297, predictive_accuracy: 0.4737, prior_entropy: 2.4897, recall: 0.4737, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.508, kappa: 0.3676, kb_relative_information_score: 71.3728, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5024, predictive_accuracy: 0.5158, prior_entropy: 2.4897, recall: 0.5158, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4282, f_measure: 0.2425, kb_relative_information_score: 11.0482, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3359, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3891, f_measure: 0.3005, kappa: 0.077, kb_relative_information_score: 6.3118, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2926, predictive_accuracy: 0.4456, prior_entropy: 2.4897, recall: 0.4456, relative_absolute_error: 1.0329, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3418, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.2684, kappa: 0.021, kb_relative_information_score: 23.5976, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2538, predictive_accuracy: 0.2982, prior_entropy: 2.4897, recall: 0.2982, relative_absolute_error: 1.0319, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.4067, kappa: 0.3133, kb_relative_information_score: 74.1597, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4052, predictive_accuracy: 0.5193, prior_entropy: 2.4897, recall: 0.5193, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.4134, kappa: 0.2366, kb_relative_information_score: 76.8412, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4012, predictive_accuracy: 0.4526, prior_entropy: 2.4897, recall: 0.4526, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.5159, kappa: 0.4003, kb_relative_information_score: 51.2855, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5099, predictive_accuracy: 0.5614, prior_entropy: 2.4897, recall: 0.5614, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 76.7086, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.2431, kappa: 0.0018, kb_relative_information_score: 29.328, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.172, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.2425, kb_relative_information_score: 0.4879, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.3991, kappa: 0.2108, kb_relative_information_score: 76.6673, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3895, predictive_accuracy: 0.4491, prior_entropy: 2.4897, recall: 0.4491, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.326, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 74.6584, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.2425, kb_relative_information_score: 1.1272, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.5323, kappa: 0.4125, kb_relative_information_score: 56.6209, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5151, predictive_accuracy: 0.5649, prior_entropy: 2.4897, recall: 0.5649, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.444, kappa: 0.2882, kb_relative_information_score: 78.0667, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4284, predictive_accuracy: 0.4772, prior_entropy: 2.4897, recall: 0.4772, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.4854, kappa: 0.3521, kb_relative_information_score: 86.8029, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4731, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.5158, kappa: 0.3804, kb_relative_information_score: 114.8871, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5026, predictive_accuracy: 0.5404, prior_entropy: 2.4897, recall: 0.5404, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3362, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.4933, kappa: 0.3581, kb_relative_information_score: 86.901, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4865, predictive_accuracy: 0.5123, prior_entropy: 2.4897, recall: 0.5123, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.2422, kappa: -0.0252, kb_relative_information_score: 21.4953, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2157, predictive_accuracy: 0.2877, prior_entropy: 2.4897, recall: 0.2877, relative_absolute_error: 1.0416, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3407, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.4941, kappa: 0.3664, kb_relative_information_score: 85.4686, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4828, predictive_accuracy: 0.5228, prior_entropy: 2.4897, recall: 0.5228, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.4507, kappa: 0.3585, kb_relative_information_score: 56.8192, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4808, predictive_accuracy: 0.5474, prior_entropy: 2.4897, recall: 0.5474, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.322, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.3163, kappa: 0.0907, kb_relative_information_score: 44.6413, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2892, predictive_accuracy: 0.3719, prior_entropy: 2.4897, recall: 0.3719, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.4416, kappa: 0.2759, kb_relative_information_score: 75.523, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4461, predictive_accuracy: 0.4421, prior_entropy: 2.4897, recall: 0.4421, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.4357, kappa: 0.2736, kb_relative_information_score: 78.2021, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4189, predictive_accuracy: 0.4596, prior_entropy: 2.4897, recall: 0.4596, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.4698, kappa: 0.3843, kb_relative_information_score: 84.776, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4245, predictive_accuracy: 0.5544, prior_entropy: 2.4897, recall: 0.5544, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9041, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.4736, kappa: 0.3443, kb_relative_information_score: 88.3062, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4484, predictive_accuracy: 0.5228, prior_entropy: 2.4897, recall: 0.5228, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.916, scimark_benchmark: 851.2074, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 904.6764, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.2306, kappa: -0.02, kb_relative_information_score: 22.2502, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2337, predictive_accuracy: 0.2316, prior_entropy: 2.4897, recall: 0.2316, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.1842, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.4517, kappa: 0.3102, kb_relative_information_score: 76.8754, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4535, predictive_accuracy: 0.5018, prior_entropy: 2.4897, recall: 0.5018, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9195, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.3163, kappa: 0.0907, kb_relative_information_score: 44.6413, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2892, predictive_accuracy: 0.3719, prior_entropy: 2.4897, recall: 0.3719, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0029, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.4698, kappa: 0.3843, kb_relative_information_score: 84.776, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4245, predictive_accuracy: 0.5544, prior_entropy: 2.4897, recall: 0.5544, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9041, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.4736, kappa: 0.3443, kb_relative_information_score: 88.3062, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4484, predictive_accuracy: 0.5228, prior_entropy: 2.4897, recall: 0.5228, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.916, scimark_benchmark: 944.0133, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 934.5964, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.5149, kappa: 0.3965, kb_relative_information_score: 78.9926, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5316, predictive_accuracy: 0.5579, prior_entropy: 2.4897, recall: 0.5579, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9155, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.2306, kappa: -0.02, kb_relative_information_score: 22.2502, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2337, predictive_accuracy: 0.2316, prior_entropy: 2.4897, recall: 0.2316, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.1842, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.4517, kappa: 0.3102, kb_relative_information_score: 76.8754, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4535, predictive_accuracy: 0.5018, prior_entropy: 2.4897, recall: 0.5018, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9195, scimark_benchmark: 941.3057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.3163, kappa: 0.0907, kb_relative_information_score: 44.6413, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2892, predictive_accuracy: 0.3719, prior_entropy: 2.4897, recall: 0.3719, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0029, scimark_benchmark: 1051.249, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.4813, kappa: 0.3602, kb_relative_information_score: 95.7679, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.466, predictive_accuracy: 0.5404, prior_entropy: 2.4897, recall: 0.5404, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.8784, scimark_benchmark: 851.2074, usercpu_time_millis: 15020, usercpu_time_millis_testing: 4500, usercpu_time_millis_training: 10520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.4795, kappa: 0.3581, kb_relative_information_score: 96.5679, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4604, predictive_accuracy: 0.5368, prior_entropy: 2.4897, recall: 0.5368, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.8767, scimark_benchmark: 944.0133, usercpu_time_millis: 5340, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 4070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.4773, kappa: 0.3629, kb_relative_information_score: 92.4705, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.45, predictive_accuracy: 0.5404, prior_entropy: 2.4897, recall: 0.5404, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.8873, scimark_benchmark: 896.2181, usercpu_time_millis: 2390, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.4946, kappa: 0.3676, kb_relative_information_score: 97.3727, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4852, predictive_accuracy: 0.5439, prior_entropy: 2.4897, recall: 0.5439, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.8825, scimark_benchmark: 908.4147, usercpu_time_millis: 1350, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.4607, kappa: 0.321, kb_relative_information_score: 92.0799, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4412, predictive_accuracy: 0.4982, prior_entropy: 2.4897, recall: 0.4982, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.9108, scimark_benchmark: 936.1714, usercpu_time_millis: 670, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.2425, kb_relative_information_score: 0.4879, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.3622, kappa: 0.2821, kb_relative_information_score: 65.5238, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2855, predictive_accuracy: 0.5088, prior_entropy: 2.4897, recall: 0.5088, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.309, root_relative_squared_error: 0.9324, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.4253, kappa: 0.3005, kb_relative_information_score: 70.2853, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.3984, predictive_accuracy: 0.5053, prior_entropy: 2.4897, recall: 0.5053, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.9157, scimark_benchmark: 942.6192, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.3028, kappa: 0.0817, kb_relative_information_score: 34.2017, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2786, predictive_accuracy: 0.3404, prior_entropy: 2.4897, recall: 0.3404, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0183, scimark_benchmark: 905.2109, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.3593, kappa: 0.2747, kb_relative_information_score: 54.8964, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2826, predictive_accuracy: 0.5053, prior_entropy: 2.4897, recall: 0.5053, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.9364, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.4698, kappa: 0.3843, kb_relative_information_score: 84.776, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4245, predictive_accuracy: 0.5544, prior_entropy: 2.4897, recall: 0.5544, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9041, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.4736, kappa: 0.3443, kb_relative_information_score: 88.3062, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4484, predictive_accuracy: 0.5228, prior_entropy: 2.4897, recall: 0.5228, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.916, scimark_benchmark: 941.6062, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 946.8777, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.5149, kappa: 0.3965, kb_relative_information_score: 78.9926, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5316, predictive_accuracy: 0.5579, prior_entropy: 2.4897, recall: 0.5579, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9155, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.2306, kappa: -0.02, kb_relative_information_score: 22.2502, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2337, predictive_accuracy: 0.2316, prior_entropy: 2.4897, recall: 0.2316, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.1842, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.4517, kappa: 0.3102, kb_relative_information_score: 76.8754, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4535, predictive_accuracy: 0.5018, prior_entropy: 2.4897, recall: 0.5018, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9195, scimark_benchmark: 946.6409, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.3163, kappa: 0.0907, kb_relative_information_score: 44.6413, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2892, predictive_accuracy: 0.3719, prior_entropy: 2.4897, recall: 0.3719, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0029, scimark_benchmark: 879.4299, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.4698, kappa: 0.3843, kb_relative_information_score: 84.776, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4245, predictive_accuracy: 0.5544, prior_entropy: 2.4897, recall: 0.5544, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9041, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 1354.1768, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2425, kb_relative_information_score: 50.8642, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.1714, predictive_accuracy: 0.414, prior_entropy: 2.4897, recall: 0.414, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.2345, scimark_benchmark: 1322.5413, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.4517, kappa: 0.3102, kb_relative_information_score: 76.8754, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4535, predictive_accuracy: 0.5018, prior_entropy: 2.4897, recall: 0.5018, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9195, scimark_benchmark: 1340.9446, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.4698, kappa: 0.3843, kb_relative_information_score: 84.776, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.4245, predictive_accuracy: 0.5544, prior_entropy: 2.4897, recall: 0.5544, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9041, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.2306, kappa: -0.02, kb_relative_information_score: 22.2502, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.2337, predictive_accuracy: 0.2316, prior_entropy: 2.4897, recall: 0.2316, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.1842, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.5149, kappa: 0.3965, kb_relative_information_score: 78.9926, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.5316, predictive_accuracy: 0.5579, prior_entropy: 2.4897, recall: 0.5579, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.9155, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.2828, kappa: 0.0706, kb_relative_information_score: 41.6159, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2203, number_of_instances: 285, precision: 0.261, predictive_accuracy: 0.3088, prior_entropy: 2.4897, recall: 0.3088, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3314, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.1894, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs