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: 0.9644, 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: 0.9265, kappa: 0.8593, kb_relative_information_score: 586.5722, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8726, prior_entropy: 3.8572, recall: 0.8726, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.5285,
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: 0.9619, f_measure: 0.9325, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9338, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.93, kappa: 0.923, kb_relative_information_score: 637.1632, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9314, 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: 0.9617, f_measure: 0.9314, kappa: 0.9261, kb_relative_information_score: 637.251, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9379, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
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: 0.9256, kappa: 0.8577, kb_relative_information_score: 585.7631, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8712, prior_entropy: 3.8572, recall: 0.8712, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, kappa: 0.2195, kb_relative_information_score: 156.47, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3236, prior_entropy: 3.8572, recall: 0.3236, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2668, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9208, kappa: 0.9133, kb_relative_information_score: 631.7797, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9217, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9329, kappa: 0.9262, kb_relative_information_score: 639.2998, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9339, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
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: 0.5765, 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: 0.5002, kappa: 0.0003, kb_relative_information_score: 50.887, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9336, kappa: 0.9278, kb_relative_information_score: 639.0794, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9356, 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: 0.964, f_measure: 0.9358, kappa: 0.9309, kb_relative_information_score: 640.1967, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9436, 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: 0.9001, kappa: 0.8069, kb_relative_information_score: 545.5346, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8258, prior_entropy: 3.8572, recall: 0.8258, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8915, kappa: 0.8838, kb_relative_information_score: 603.3395, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9023, predictive_accuracy: 0.8946, prior_entropy: 3.8572, recall: 0.8946, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8953, kappa: 0.8887, kb_relative_information_score: 605.7773, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9061, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.4706,
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: 0.7491, kappa: 0.5059, kb_relative_information_score: 334.3347, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5652, prior_entropy: 3.8572, recall: 0.5652, relative_absolute_error: 0.4762, 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: 0.5765, kappa: 0.1534, 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: 0.9591, f_measure: 0.9278, kappa: 0.9213, kb_relative_information_score: 634.8097, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9305, 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: 0.5187, 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: 0.4875, kappa: -0.025, kb_relative_information_score: 38.7562, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1127, prior_entropy: 3.8572, recall: 0.1127, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9276, kappa: 0.9213, kb_relative_information_score: 634.295, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9304, 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: 0.5677, kappa: 0.1354, kb_relative_information_score: 114.957, 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: 0.9611, f_measure: 0.931, kappa: 0.9246, kb_relative_information_score: 637.4576, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9323, 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: 0.9623, f_measure: 0.9332, kappa: 0.9277, kb_relative_information_score: 637.5591, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9444, 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: 0.9641, f_measure: 0.9372, kappa: 0.931, kb_relative_information_score: 642.2456, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9379, 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: 0.5765, 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: 0.6546, kappa: 0.3114, kb_relative_information_score: 208.3823, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4012, prior_entropy: 3.8572, recall: 0.4012, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2511, root_relative_squared_error: 1.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.936, kappa: 0.9309, kb_relative_information_score: 639.6922, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9465, 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: 0.9599, f_measure: 0.929, kappa: 0.9229, kb_relative_information_score: 635.6223, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9335, 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: 0.5809, kappa: 0.1625, kb_relative_information_score: 130.8024, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2709, prior_entropy: 3.8572, recall: 0.2709, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.277, root_relative_squared_error: 1.2644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kappa: -0.0029, 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: 0.8039, kappa: 0.6103, kb_relative_information_score: 389.607, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.653, prior_entropy: 3.8572, recall: 0.653, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.8722,
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: 0.5765, 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: 0.517, kappa: 0.034, kb_relative_information_score: 67.146, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.164, prior_entropy: 3.8572, recall: 0.164, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2967, root_relative_squared_error: 1.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9314, kappa: 0.9246, kb_relative_information_score: 637.4679, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, 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: 0.6816, kappa: 0.3645, kb_relative_information_score: 229.0805, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.448, prior_entropy: 3.8572, recall: 0.448, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.241, root_relative_squared_error: 1.1001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9246, kappa: 0.9181, kb_relative_information_score: 634.2072, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.926, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, kappa: 0.2772, kb_relative_information_score: 190.3476, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3719, prior_entropy: 3.8572, recall: 0.3719, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2571, root_relative_squared_error: 1.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, kappa: 0.6172, kb_relative_information_score: 394.402, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6589, prior_entropy: 3.8572, recall: 0.6589, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.8649,
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: 0.9368, 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: 0.9623, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 640.109, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9349, 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: 0.5187, 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: 0.9487, f_measure: 0.9022, kappa: 0.9018, kb_relative_information_score: 618.4281, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9278, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.097, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9236, kappa: 0.9165, kb_relative_information_score: 633.4015, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9245, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9311, kappa: 0.9245, kb_relative_information_score: 636.9497, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9316, 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: 0.5001, kappa: 0.0002, kb_relative_information_score: 50.8767, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9323, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9336, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7497, kappa: 0.7286, kb_relative_information_score: 519.2863, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7543, predictive_accuracy: 0.7526, prior_entropy: 3.8572, recall: 0.7526, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kappa: -0.0028, 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: 0.962, f_measure: 0.9324, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9341, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, kappa: 0.8806, kb_relative_information_score: 601.728, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9315, kappa: 0.9246, kb_relative_information_score: 637.9759, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9328, 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: 0.6012, f_measure: 0.2901, kappa: 0.1901, kb_relative_information_score: 124.2502, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.4477, predictive_accuracy: 0.2357, prior_entropy: 3.8572, recall: 0.2357, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, kappa: 0.7625, kb_relative_information_score: 510.306, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7862, prior_entropy: 3.8572, recall: 0.7862, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.15, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, 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: 0.9395, 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: 0.964, f_measure: 0.9358, kappa: 0.9309, kb_relative_information_score: 639.1775, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9463, 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: 0.9627, f_measure: 0.9337, 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: 0.9362, 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: 0.5001, kappa: 0.0002, kb_relative_information_score: 50.8767, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9317, kappa: 0.9261, kb_relative_information_score: 636.7499, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9424, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
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: 0.9368, 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: 0.9649, f_measure: 0.937, kappa: 0.9325, kb_relative_information_score: 639.9866, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9465, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 50.8767, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, kappa: 0.019, kb_relative_information_score: 59.8668, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1508, prior_entropy: 3.8572, recall: 0.1508, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.299, root_relative_squared_error: 1.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9297, kappa: 0.9229, kb_relative_information_score: 636.1371, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9305, 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: 0.5625, kappa: 0.127, kb_relative_information_score: 117.3078, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2416, prior_entropy: 3.8572, recall: 0.2416, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8812, kappa: 0.87, kb_relative_information_score: 606.2839, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8827, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, kappa: 0.5401, kb_relative_information_score: 356.6132, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5944, prior_entropy: 3.8572, recall: 0.5944, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9325, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9338, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, kappa: 0.3122, kb_relative_information_score: 204.5209, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4026, prior_entropy: 3.8572, recall: 0.4026, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2508, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9265, kappa: 0.9197, kb_relative_information_score: 633.9971, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9291, 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: 0.4985, 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: 0.9666, f_measure: 0.9415, kappa: 0.9358, kb_relative_information_score: 644.6834, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9427, 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: 0.9315, kappa: 0.8691, kb_relative_information_score: 594.0046, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9296, kappa: 0.9229, kb_relative_information_score: 635.1144, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, 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: 0.4266, kappa: -0.1467, kb_relative_information_score: -21.1332, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0044, prior_entropy: 3.8572, recall: 0.0044, relative_absolute_error: 1.0904, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.4775,
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: 0.5187, 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: 0.9617, f_measure: 0.9329, kappa: 0.9262, kb_relative_information_score: 639.2998, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9339, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kappa: -0.0029, 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: 0.5187, 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: 0.9559, f_measure: 0.9226, 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: 0.9238, 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: 0.9617, f_measure: 0.9323, kappa: 0.9261, kb_relative_information_score: 637.7589, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9358, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, kappa: 0.0309, kb_relative_information_score: 65.5345, 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: 0.5187, 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: 0.9619, f_measure: 0.9325, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9338, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9329, kappa: 0.9262, kb_relative_information_score: 639.2998, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9339, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9353, 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: 0.9371, 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: 0.4986, kappa: -0.0028, 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: 0.7868, kappa: 0.5772, kb_relative_information_score: 366.0066, 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: 0.5765, 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: 0.8861, kappa: 0.7789, kb_relative_information_score: 524.0569, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8009, prior_entropy: 3.8572, recall: 0.8009, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, kappa: 0.0105, kb_relative_information_score: 55.8038, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1435, prior_entropy: 3.8572, recall: 0.1435, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.3704,

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

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From your own software

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

OpenML APIs