OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2065 Supervised Classification primary-tumor 543 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:

543 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.4336, kappa: 0.3956, kb_relative_information_score: 126.4268, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.8825, scimark_benchmark: 939.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.4155, kappa: 0.3697, kb_relative_information_score: 118.5446, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3912, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8936, scimark_benchmark: 885.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.3879, kappa: 0.3346, kb_relative_information_score: 113.5699, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3689, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.9857, scimark_benchmark: 945.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.4137, kappa: 0.3593, kb_relative_information_score: 113.5415, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4063, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.9223, scimark_benchmark: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.4228, kappa: 0.3748, kb_relative_information_score: 112.2379, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4072, predictive_accuracy: 0.4513, prior_entropy: 3.7542, recall: 0.4513, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.9076, scimark_benchmark: 928.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.3777, kappa: 0.3074, kb_relative_information_score: 104.2275, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3905, predictive_accuracy: 0.3776, prior_entropy: 3.7542, recall: 0.3776, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2337, root_relative_squared_error: 1.162, scimark_benchmark: 930.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.413, kappa: 0.3731, kb_relative_information_score: 122.1222, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3845, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8692, scimark_benchmark: 939.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 945.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.4055, kappa: 0.3751, kb_relative_information_score: 121.935, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3717, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.8719, scimark_benchmark: 886.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.4184, kappa: 0.3557, kb_relative_information_score: 26.5575, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4199, predictive_accuracy: 0.4307, prior_entropy: 3.7542, recall: 0.4307, relative_absolute_error: 1.0311, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2027, root_relative_squared_error: 1.0078, scimark_benchmark: 941.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.3898, kappa: 0.3419, kb_relative_information_score: 114.0234, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3746, predictive_accuracy: 0.4218, prior_entropy: 3.7542, recall: 0.4218, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.9643, scimark_benchmark: 948.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.3153, kappa: 0.2758, kb_relative_information_score: 102.3373, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2796, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.9444, scimark_benchmark: 930.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.3839, kappa: 0.3115, kb_relative_information_score: 77.96, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3807, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.9338, scimark_benchmark: 936.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4732, f_measure: 0.0984, kb_relative_information_score: 7.8616, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0389, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2043, root_relative_squared_error: 1.016, scimark_benchmark: 940.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.2951, kappa: 0.2074, kb_relative_information_score: 13.9534, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3572, predictive_accuracy: 0.3599, prior_entropy: 3.7542, recall: 0.3599, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2036, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.3301, kappa: 0.3094, kb_relative_information_score: 111.0692, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2882, predictive_accuracy: 0.4041, prior_entropy: 3.7542, recall: 0.4041, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3494, kappa: 0.3098, kb_relative_information_score: 108.2828, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3189, predictive_accuracy: 0.4012, prior_entropy: 3.7542, recall: 0.4012, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9669, scimark_benchmark: 909.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549, scimark_benchmark: 944.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 941.2656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.3361, kappa: 0.3005, kb_relative_information_score: 93.7416, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3102, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9489, scimark_benchmark: 944.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.2743, kappa: 0.2249, kb_relative_information_score: 67.2716, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2418, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9668, scimark_benchmark: 941.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.3967, kappa: 0.3554, kb_relative_information_score: 117.2719, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3735, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.8932, scimark_benchmark: 924.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.4268, kappa: 0.4008, kb_relative_information_score: 116.4138, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4466, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.899, scimark_benchmark: 939.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 943.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.3238, kappa: 0.3139, kb_relative_information_score: 99.8797, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.278, predictive_accuracy: 0.4277, prior_entropy: 3.7542, recall: 0.4277, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 942.7967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.3138, kappa: 0.2248, kb_relative_information_score: 92.0103, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3201, predictive_accuracy: 0.3156, prior_entropy: 3.7542, recall: 0.3156, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2289, root_relative_squared_error: 1.1385, scimark_benchmark: 941.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 913.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.4113, kappa: 0.3529, kb_relative_information_score: 116.791, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4008, predictive_accuracy: 0.4277, prior_entropy: 3.7542, recall: 0.4277, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.218, root_relative_squared_error: 1.0839, scimark_benchmark: 935.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.402, kappa: 0.3407, kb_relative_information_score: 115.4407, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.392, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2146, root_relative_squared_error: 1.0672, scimark_benchmark: 940.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.346, kappa: 0.3208, kb_relative_information_score: 87.3461, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3423, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.9136, scimark_benchmark: 940.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.397, kappa: 0.3566, kb_relative_information_score: 117.8458, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3701, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.8962, scimark_benchmark: 901.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.377, kappa: 0.3523, kb_relative_information_score: 111.5069, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3678, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.3546, kappa: 0.28, kb_relative_information_score: 15.2236, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3502, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0192, scimark_benchmark: 930.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.3855, kappa: 0.3217, kb_relative_information_score: 112.7101, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.394, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.196, root_relative_squared_error: 0.9749, scimark_benchmark: 943.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.3478, kappa: 0.3085, kb_relative_information_score: 98, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.327, predictive_accuracy: 0.413, prior_entropy: 3.7542, recall: 0.413, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.9097, scimark_benchmark: 941.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.4082, kappa: 0.3585, kb_relative_information_score: 113.2231, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3953, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.9238, scimark_benchmark: 944.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.3983, kappa: 0.3479, kb_relative_information_score: 111.5599, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3866, predictive_accuracy: 0.4277, prior_entropy: 3.7542, recall: 0.4277, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.9127, scimark_benchmark: 944.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.371, kappa: 0.3065, kb_relative_information_score: 87.7307, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3651, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.9493, scimark_benchmark: 943.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.0984, kb_relative_information_score: 10.5299, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.204, root_relative_squared_error: 1.0144, scimark_benchmark: 936.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.6617, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9623, scimark_benchmark: 885.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.4141, kappa: 0.3616, kb_relative_information_score: 112.7724, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3982, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.9521, scimark_benchmark: 915.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.3677, kappa: 0.342, kb_relative_information_score: 110.0993, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3331, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.4283, kappa: 0.3962, kb_relative_information_score: 123.7883, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4178, predictive_accuracy: 0.4661, prior_entropy: 3.7542, recall: 0.4661, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9041, scimark_benchmark: 946.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, f_measure: 0.0984, kb_relative_information_score: 7.9553, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2043, root_relative_squared_error: 1.0159, scimark_benchmark: 929.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.3839, kappa: 0.3115, kb_relative_information_score: 77.96, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3807, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.9338, scimark_benchmark: 947.3192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3494, kappa: 0.3098, kb_relative_information_score: 108.2828, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3189, predictive_accuracy: 0.4012, prior_entropy: 3.7542, recall: 0.4012, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9669, scimark_benchmark: 940.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.3974, kappa: 0.3447, kb_relative_information_score: 116.01, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3835, predictive_accuracy: 0.4218, prior_entropy: 3.7542, recall: 0.4218, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4095, kappa: 0.3456, kb_relative_information_score: 26.1339, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4105, predictive_accuracy: 0.4218, prior_entropy: 3.7542, recall: 0.4218, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2027, root_relative_squared_error: 1.0078, scimark_benchmark: 908.6779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.2743, kappa: 0.2249, kb_relative_information_score: 67.2716, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2418, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9668, scimark_benchmark: 946.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 925.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 944.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.371, kappa: 0.3065, kb_relative_information_score: 87.7307, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3651, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.9493, scimark_benchmark: 939.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.0984, kb_relative_information_score: 0.3006, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2012, root_relative_squared_error: 1.0004, scimark_benchmark: 945.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.3801, kappa: 0.3118, kb_relative_information_score: 88.4638, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3752, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.9637, scimark_benchmark: 938.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.4616, kappa: 0.4343, kb_relative_information_score: 74.7031, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4396, predictive_accuracy: 0.5015, prior_entropy: 3.7542, recall: 0.5015, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9491, scimark_benchmark: 940.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.3705, kappa: 0.3477, kb_relative_information_score: 111.3732, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3373, predictive_accuracy: 0.4425, prior_entropy: 3.7542, recall: 0.4425, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.179, root_relative_squared_error: 0.8904, scimark_benchmark: 898.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.309, kappa: 0.2837, kb_relative_information_score: 100.9346, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2641, predictive_accuracy: 0.3953, prior_entropy: 3.7542, recall: 0.3953, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.4322, kappa: 0.4081, kb_relative_information_score: 116.4382, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4485, predictive_accuracy: 0.4808, prior_entropy: 3.7542, recall: 0.4808, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8955, scimark_benchmark: 945.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.3361, kappa: 0.3005, kb_relative_information_score: 93.7416, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3102, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9489, scimark_benchmark: 942.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 942.6637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.3752, kappa: 0.3345, kb_relative_information_score: 113.0257, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3472, predictive_accuracy: 0.4218, prior_entropy: 3.7542, recall: 0.4218, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.9635, scimark_benchmark: 867.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.3924, kappa: 0.3598, kb_relative_information_score: 118.8132, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3617, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8994, scimark_benchmark: 875.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 921.1955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.3247, kappa: 0.2877, kb_relative_information_score: 71.6715, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3335, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9401, scimark_benchmark: 910.6118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.3647, kappa: 0.3224, kb_relative_information_score: 100.3227, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3423, predictive_accuracy: 0.4218, prior_entropy: 3.7542, recall: 0.4218, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.907, scimark_benchmark: 936.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.3658, kappa: 0.3184, kb_relative_information_score: 80.0656, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3529, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.9354, scimark_benchmark: 922.0429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.425, kappa: 0.3982, kb_relative_information_score: 118.7594, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4465, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8965, scimark_benchmark: 939.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 942.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.4132, kappa: 0.3513, kb_relative_information_score: 118.8389, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4091, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.9586, scimark_benchmark: 935.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.387, kappa: 0.3221, kb_relative_information_score: 103.1822, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3929, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2209, root_relative_squared_error: 1.0988, scimark_benchmark: 931.1904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 939.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.3687, kappa: 0.3357, kb_relative_information_score: 116.7786, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3374, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.188, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.395, kappa: 0.3526, kb_relative_information_score: 114.8454, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3736, predictive_accuracy: 0.4307, prior_entropy: 3.7542, recall: 0.4307, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.9155, scimark_benchmark: 937.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 940.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.4141, kappa: 0.3616, kb_relative_information_score: 112.7724, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3982, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.9521, scimark_benchmark: 906.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 931.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.2803, kappa: 0.2411, kb_relative_information_score: 71.816, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2627, predictive_accuracy: 0.3835, prior_entropy: 3.7542, recall: 0.3835, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.9589, scimark_benchmark: 940.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 940.2778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.3801, kappa: 0.3118, kb_relative_information_score: 88.4638, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3752, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.9637, scimark_benchmark: 941.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.2409, kappa: 0.2268, kb_relative_information_score: 43.942, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1828, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.19, root_relative_squared_error: 0.9447, scimark_benchmark: 932.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.3546, kappa: 0.28, kb_relative_information_score: 15.2236, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3502, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0192, scimark_benchmark: 940.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.3361, kappa: 0.3005, kb_relative_information_score: 93.7416, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3102, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9489, scimark_benchmark: 944.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.371, kappa: 0.3065, kb_relative_information_score: 87.7307, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3651, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.9493, scimark_benchmark: 915.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.4142, kappa: 0.3524, kb_relative_information_score: 120.5809, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4075, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.9756, scimark_benchmark: 943.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.3361, kappa: 0.3005, kb_relative_information_score: 93.7416, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3102, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9489, scimark_benchmark: 944.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.1661, kappa: 0.0732, kb_relative_information_score: 53.097, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1436, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 936.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549, scimark_benchmark: 920.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.3879, kappa: 0.3346, kb_relative_information_score: 113.5699, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3689, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.9857, scimark_benchmark: 909.2719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.3546, kappa: 0.28, kb_relative_information_score: 15.2236, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3502, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0192, scimark_benchmark: 906.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.4319, kappa: 0.4034, kb_relative_information_score: 120.9926, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4563, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8968, scimark_benchmark: 947.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.2951, kappa: 0.2074, kb_relative_information_score: 14.2717, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3572, predictive_accuracy: 0.3599, prior_entropy: 3.7542, recall: 0.3599, relative_absolute_error: 1.0352, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2036, root_relative_squared_error: 1.0124, scimark_benchmark: 947.6551,

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