OpenML
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 34 Supervised Classification postoperative-patient-data 705 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

705 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -1.9837, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0078, scimark_benchmark: 909.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3881, f_measure: 0.5911, kb_relative_information_score: -1.7039, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3892, root_relative_squared_error: 1.0364, scimark_benchmark: 879.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 942.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.5689, kappa: -0.08, kb_relative_information_score: -5.8654, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 1.0305, recall: 0.6667, relative_absolute_error: 1.0494, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.042, scimark_benchmark: 914.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: 14.9379, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.2343, scimark_benchmark: 918.2881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -57.4588, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.5483, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.2555, scimark_benchmark: 947.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: -1.0791, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3878, root_relative_squared_error: 1.0328, scimark_benchmark: 916.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3611, f_measure: 0.5075, kappa: -0.2194, kb_relative_information_score: -19.2989, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4848, predictive_accuracy: 0.5333, prior_entropy: 1.0305, recall: 0.5333, relative_absolute_error: 1.1574, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.3267, scimark_benchmark: 948.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4456, f_measure: 0.5306, kappa: -0.1305, kb_relative_information_score: -18.4146, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5182, predictive_accuracy: 0.5444, prior_entropy: 1.0305, recall: 0.5444, relative_absolute_error: 1.1698, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.1537, scimark_benchmark: 908.1506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.388, f_measure: 0.5911, kb_relative_information_score: -2.1078, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.0378, scimark_benchmark: 910.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: 14.9379, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.2343, scimark_benchmark: 883.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3905, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -1.0188, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.0423, scimark_benchmark: 910.3291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -4.8949, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.0408, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.0336, scimark_benchmark: 949.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -4.8949, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.0408, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.0336, scimark_benchmark: 913.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4471, f_measure: 0.5395, kappa: -0.1667, kb_relative_information_score: -6.2457, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4829, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4257, root_relative_squared_error: 1.1339, scimark_benchmark: 948.1672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3633, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -11.0395, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0547, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.1793, scimark_benchmark: 922.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3606, f_measure: 0.5854, kappa: -0.0377, kb_relative_information_score: -8.9241, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5528, predictive_accuracy: 0.6667, prior_entropy: 1.0305, recall: 0.6667, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.1619, scimark_benchmark: 948.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.5689, kappa: -0.08, kb_relative_information_score: -5.8654, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 1.0305, recall: 0.6667, relative_absolute_error: 1.0494, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3558, f_measure: 0.5911, kb_relative_information_score: -2.9656, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3925, root_relative_squared_error: 1.0453, scimark_benchmark: 919.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4621, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -6.8358, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.058, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.0504, scimark_benchmark: 923.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3708, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: -9.5806, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0631, scimark_benchmark: 934.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.561, kappa: -0.0882, kb_relative_information_score: -2.8051, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5383, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.3718, scimark_benchmark: 908.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3458, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -22.6478, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.1945, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.1076, scimark_benchmark: 943.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4318, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -10.814, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3887, root_relative_squared_error: 1.0352, scimark_benchmark: 944.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3916, f_measure: 0.5911, kb_relative_information_score: -6.1812, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0469, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3835, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3948, f_measure: 0.5523, kappa: -0.1331, kb_relative_information_score: -7.0676, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5103, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.1517, scimark_benchmark: 576.4515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.5911, kb_relative_information_score: 2.5108, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0004, scimark_benchmark: 576.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4612, f_measure: 0.5774, kappa: -0.0472, kb_relative_information_score: -1.5505, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5463, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4875, root_relative_squared_error: 1.2984, scimark_benchmark: 940.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3951, f_measure: 0.5731, kappa: -0.0714, kb_relative_information_score: 0.11, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5464, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.3222, scimark_benchmark: 937.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4664, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: -21.7852, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4035, root_relative_squared_error: 1.0747, scimark_benchmark: 910.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4522, f_measure: 0.5451, kappa: -0.1325, kb_relative_information_score: -7.6443, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5184, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.3783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.397, f_measure: 0.5634, kappa: -0.1014, kb_relative_information_score: -6.748, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5305, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.1474, scimark_benchmark: 940.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, f_measure: 0.5395, kappa: -0.1667, kb_relative_information_score: -6.254, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4829, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4245, root_relative_squared_error: 1.1305, scimark_benchmark: 942.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3808, f_measure: 0.5449, kappa: -0.1147, kb_relative_information_score: -12.7527, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5249, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.1017, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4453, root_relative_squared_error: 1.1858, scimark_benchmark: 929.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.399, f_measure: 0.508, kappa: -0.2019, kb_relative_information_score: -15.3669, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4948, predictive_accuracy: 0.5222, prior_entropy: 1.0305, recall: 0.5222, relative_absolute_error: 1.1083, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.461, root_relative_squared_error: 1.2278, scimark_benchmark: 924.2849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4664, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: -21.7852, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4035, root_relative_squared_error: 1.0747, scimark_benchmark: 937.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3527, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -17.1603, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.1398, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.1051, scimark_benchmark: 947.5671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.5689, kappa: -0.08, kb_relative_information_score: -5.8654, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4961, predictive_accuracy: 0.6667, prior_entropy: 1.0305, recall: 0.6667, relative_absolute_error: 1.0494, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.042, scimark_benchmark: 914.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4288, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -27.3177, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.2261, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4029, root_relative_squared_error: 1.0729, scimark_benchmark: 921.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, f_measure: 0.5448, kappa: -0.1043, kb_relative_information_score: -14.238, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5346, predictive_accuracy: 0.5556, prior_entropy: 1.0305, recall: 0.5556, relative_absolute_error: 1.0888, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.3495, scimark_benchmark: 943.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: 1.3852, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0019, scimark_benchmark: 947.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4338, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -26.9284, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.2204, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.0727, scimark_benchmark: 920.2918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, f_measure: 0.5423, kappa: -0.1483, kb_relative_information_score: -8.9856, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5056, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0374, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.2153, scimark_benchmark: 946.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.38, f_measure: 0.5911, kb_relative_information_score: -2.3352, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3878, root_relative_squared_error: 1.0329, scimark_benchmark: 912.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -1.9837, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0078, scimark_benchmark: 939.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: -0.7095, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0022, scimark_benchmark: 910.3071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3804, f_measure: 0.5911, kb_relative_information_score: -2.6839, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.388, root_relative_squared_error: 1.0332, scimark_benchmark: 923.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3909, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: -4.1604, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0655, scimark_benchmark: 947.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3643, f_measure: 0.5226, kappa: -0.1595, kb_relative_information_score: -19.7189, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5124, predictive_accuracy: 0.5333, prior_entropy: 1.0305, recall: 0.5333, relative_absolute_error: 1.1577, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.4689, scimark_benchmark: 918.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: -1.9837, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0078, scimark_benchmark: 947.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3611, f_measure: 0.5075, kappa: -0.2194, kb_relative_information_score: -19.2989, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4848, predictive_accuracy: 0.5333, prior_entropy: 1.0305, recall: 0.5333, relative_absolute_error: 1.1574, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.3267, scimark_benchmark: 948.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3708, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: -9.5806, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0631, scimark_benchmark: 943.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3319, f_measure: 0.5523, kappa: -0.1331, kb_relative_information_score: -8.5482, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5103, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.301, scimark_benchmark: 907.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4181, f_measure: 0.5523, kappa: -0.1175, kb_relative_information_score: -0.6041, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5234, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.3554, scimark_benchmark: 940.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4076, f_measure: 0.6321, kappa: 0.0725, kb_relative_information_score: -12.3209, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.6283, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1024, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0681, scimark_benchmark: 901.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3708, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: -9.5806, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0962, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0631, scimark_benchmark: 945.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, f_measure: 0.5181, kappa: -0.2103, kb_relative_information_score: -5.3944, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4772, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.3223, scimark_benchmark: 942.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

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