OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kappa: -0.003, kb_relative_information_score: 3.2618, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kappa: -0.0017, kb_relative_information_score: 49.567, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 15.4091, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, kappa: 0.1666, kb_relative_information_score: 37.6387, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2782, prior_entropy: 3.8572, recall: 0.2782, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kappa: 0.0012, kb_relative_information_score: 12.8571, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, kappa: 0.1523, kb_relative_information_score: 49.4863, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.265, prior_entropy: 3.8572, recall: 0.265, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, kappa: 0.3879, kb_relative_information_score: 249.9718, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4553, prior_entropy: 3.8572, recall: 0.4553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.21, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: 14.7942, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 22.4183, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, kappa: 0.0536, kb_relative_information_score: 57.7595, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1113, prior_entropy: 3.8572, recall: 0.1113, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3059, root_relative_squared_error: 1.3959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kappa: -0.0019, kb_relative_information_score: -4.8572, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.019, prior_entropy: 3.8572, recall: 0.019, relative_absolute_error: 1.0743, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0004, kb_relative_information_score: 23.9814, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1083, prior_entropy: 3.8572, recall: 0.1083, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2691, root_relative_squared_error: 1.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, kappa: -0.0029, kb_relative_information_score: 9.9172, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kappa: 0.0012, kb_relative_information_score: 12.0591, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, kappa: 0.0002, kb_relative_information_score: 12.1761, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kappa: -0.0012, kb_relative_information_score: 14.4181, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, kb_relative_information_score: 13.5309, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, kappa: 0.1393, kb_relative_information_score: 108.687, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1874, prior_entropy: 3.8572, recall: 0.1874, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2925, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8663, kappa: 0.8538, kb_relative_information_score: 561.389, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8763, predictive_accuracy: 0.8668, prior_entropy: 3.8572, recall: 0.8668, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, kappa: -0.0029, kb_relative_information_score: 3.3931, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, kappa: 0.0012, kb_relative_information_score: 3.9616, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, kappa: 0.447, kb_relative_information_score: 198.2229, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5154, prior_entropy: 3.8572, recall: 0.5154, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, kappa: 0.1498, kb_relative_information_score: 48.6488, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2621, prior_entropy: 3.8572, recall: 0.2621, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kappa: 0.0012, kb_relative_information_score: 7.7111, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: -0.0005, kb_relative_information_score: 22.2673, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, kb_relative_information_score: 6.9846, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 11.8316, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kappa: 0.0039, kb_relative_information_score: 33.5727, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0893, prior_entropy: 3.8572, recall: 0.0893, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 10.0311, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kb_relative_information_score: 11.3123, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, kappa: 0.5954, kb_relative_information_score: 356.1702, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6369, prior_entropy: 3.8572, recall: 0.6369, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: 0.0007, kb_relative_information_score: 0.0283, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0249, prior_entropy: 3.8572, recall: 0.0249, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3204, root_relative_squared_error: 1.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, kb_relative_information_score: 7.1405, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kb_relative_information_score: 5.9761, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, kappa: 0.7738, kb_relative_information_score: 485.8804, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.795, prior_entropy: 3.8572, recall: 0.795, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kappa: 0.0029, kb_relative_information_score: 15.9093, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1362, prior_entropy: 3.8572, recall: 0.1362, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0002, kb_relative_information_score: -1.1728, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0234, prior_entropy: 3.8572, recall: 0.0234, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: 18.6236, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8248, kappa: 0.8271, kb_relative_information_score: 517.0089, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8698, predictive_accuracy: 0.8433, prior_entropy: 3.8572, recall: 0.8433, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, kappa: 0.5771, kb_relative_information_score: 321.8271, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6208, prior_entropy: 3.8572, recall: 0.6208, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, kb_relative_information_score: 38.3499, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, kappa: 0.3157, kb_relative_information_score: 139.7867, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4056, prior_entropy: 3.8572, recall: 0.4056, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 12.8632, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, kappa: 0.5286, kb_relative_information_score: 278.144, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5798, prior_entropy: 3.8572, recall: 0.5798, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.8084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, kappa: 0.0012, kb_relative_information_score: 15.3612, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, kappa: 0.4859, kb_relative_information_score: 226.2738, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5447, prior_entropy: 3.8572, recall: 0.5447, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, kb_relative_information_score: 16.822, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 9.2666, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 41.1491, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1098, prior_entropy: 3.8572, recall: 0.1098, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3061, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, kappa: 0.0012, kb_relative_information_score: 7.8124, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, kappa: 0.0002, kb_relative_information_score: 2.0306, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0278, prior_entropy: 3.8572, recall: 0.0278, relative_absolute_error: 1.0647, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, kb_relative_information_score: 4.4564, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, kappa: 0.4594, kb_relative_information_score: 260.0941, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5212, prior_entropy: 3.8572, recall: 0.5212, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, kappa: -0.0012, kb_relative_information_score: 11.1402, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, kappa: 0.3537, kb_relative_information_score: 117.4249, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4378, prior_entropy: 3.8572, recall: 0.4378, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kappa: -0.003, kb_relative_information_score: 14.9652, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, kappa: -0.0018, kb_relative_information_score: 12.4436, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kb_relative_information_score: 34.1721, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2209, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, kappa: 0.6471, kb_relative_information_score: 398.2502, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6823, prior_entropy: 3.8572, recall: 0.6823, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kappa: -0.0012, kb_relative_information_score: 9.9099, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, kappa: 0.0334, kb_relative_information_score: 11.5655, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1625, prior_entropy: 3.8572, recall: 0.1625, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, kappa: 0.4887, kb_relative_information_score: 268.166, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5461, prior_entropy: 3.8572, recall: 0.5461, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0012, kb_relative_information_score: -2.6052, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.022, prior_entropy: 3.8572, recall: 0.022, relative_absolute_error: 1.0711, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kappa: -0.0013, kb_relative_information_score: 6.0342, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0351, prior_entropy: 3.8572, recall: 0.0351, relative_absolute_error: 1.0567, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3187, root_relative_squared_error: 1.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 16.9519, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0586, prior_entropy: 3.8572, recall: 0.0586, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, kb_relative_information_score: 16.2671, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1332, prior_entropy: 3.8572, recall: 0.1332, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, kappa: 0.4595, kb_relative_information_score: 267.9309, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5066, prior_entropy: 3.8572, recall: 0.5066, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, kappa: 0.0191, kb_relative_information_score: 30.0846, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.082, prior_entropy: 3.8572, recall: 0.082, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3109, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, kappa: 0.6471, kb_relative_information_score: 373.4872, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6852, prior_entropy: 3.8572, recall: 0.6852, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9286, kappa: 0.9214, kb_relative_information_score: 636.3541, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3554, kb_relative_information_score: 227.018, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4392, prior_entropy: 3.8572, recall: 0.4392, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.243, root_relative_squared_error: 1.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9292, kappa: 0.9229, kb_relative_information_score: 636.1337, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.932, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9412, kappa: 0.9358, kb_relative_information_score: 644.1686, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.943, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, kappa: 0.6662, kb_relative_information_score: 432.7967, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7013, prior_entropy: 3.8572, recall: 0.7013, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.8092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9404, kappa: 0.9358, kb_relative_information_score: 643.1459, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9489, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9266, kappa: 0.9197, kb_relative_information_score: 635.0267, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, kappa: 0.1687, kb_relative_information_score: 132.0777, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2754, root_relative_squared_error: 1.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9286, kappa: 0.9214, kb_relative_information_score: 636.3541, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9223, kappa: 0.9149, kb_relative_information_score: 632.5923, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9232, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9329, kappa: 0.9277, kb_relative_information_score: 638.5749, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9389, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 639.8955, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9366, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, kappa: 0.1346, kb_relative_information_score: 117.3861, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2489, prior_entropy: 3.8572, recall: 0.2489, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2812, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 636.3506, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9286, kappa: 0.9214, kb_relative_information_score: 636.3541, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, kappa: 0.5774, kb_relative_information_score: 366.2357, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6252, prior_entropy: 3.8572, recall: 0.6252, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 640.7081, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9382, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.928, kappa: 0.9213, kb_relative_information_score: 635.8393, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9308, kappa: 0.9245, kb_relative_information_score: 637.4576, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9335, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9295, kappa: 0.923, kb_relative_information_score: 636.6485, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9308, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, kappa: 0.6223, kb_relative_information_score: 398.3739, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6633, prior_entropy: 3.8572, recall: 0.6633, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9338, kappa: 0.9278, kb_relative_information_score: 639.0829, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9358, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kappa: -0.0031, kb_relative_information_score: 49.3201, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, kappa: 0.031, kb_relative_information_score: 65.5379, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1611, prior_entropy: 3.8572, recall: 0.1611, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2972, root_relative_squared_error: 1.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9398, kappa: 0.9342, kb_relative_information_score: 642.3333, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9429, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9309, kappa: 0.9246, kb_relative_information_score: 637.4645, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9322, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,

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