Task
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: 0.9765, f_measure: 0.9092, kappa: 0.902, kb_relative_information_score: 623.516, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9141, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.4023, scimark_benchmark: 2019.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9322, kappa: 0.9261, kb_relative_information_score: 642.0373, mean_absolute_error: 0.0095, 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: 0.0989, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3051, scimark_benchmark: 2003.5815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9256, kappa: 0.9182, kb_relative_information_score: 635.5287, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9272, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3866, scimark_benchmark: 2009.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9181, kappa: 0.9116, kb_relative_information_score: 596.3693, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9235, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416, scimark_benchmark: 2014.7416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 640.4821, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.939, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3508, scimark_benchmark: 894.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9359, kappa: 0.9294, kb_relative_information_score: 644.5111, mean_absolute_error: 0.0084, 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: 0.0878, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.3115, scimark_benchmark: 939.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9334, kappa: 0.9277, kb_relative_information_score: 614.0967, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3757, scimark_benchmark: 944.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9385, kappa: 0.9326, kb_relative_information_score: 640.1247, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.077, root_relative_squared_error: 0.3515, scimark_benchmark: 920.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.3064, kappa: 0.3334, kb_relative_information_score: 222.0242, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.274, predictive_accuracy: 0.41, prior_entropy: 3.8572, recall: 0.41, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1374, scimark_benchmark: 930.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9384, kappa: 0.9326, kb_relative_information_score: 641.0749, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.335, scimark_benchmark: 940.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9112, kappa: 0.9036, kb_relative_information_score: 628.2332, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9151, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.3753, scimark_benchmark: 937.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9112, kappa: 0.9036, kb_relative_information_score: 628.2332, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9151, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.3753, scimark_benchmark: 930.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9297, kappa: 0.923, kb_relative_information_score: 634.3878, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9346, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.3718, scimark_benchmark: 903.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9388, kappa: 0.9325, kb_relative_information_score: 644.605, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.336, scimark_benchmark: 435.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9151, kappa: 0.9068, kb_relative_information_score: 629.9043, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9167, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 943.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 643.0435, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.3579, scimark_benchmark: 897.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 645.8905, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9374, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.3028, scimark_benchmark: 946.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9319, kappa: 0.9261, kb_relative_information_score: 636.6348, mean_absolute_error: 0.0072, 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: 0.0748, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.3768, scimark_benchmark: 941.1827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.1102, kappa: 0.1519, kb_relative_information_score: 168.3147, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0697, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.9511, scimark_benchmark: 934.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.3064, kappa: 0.3334, kb_relative_information_score: 222.0242, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.274, predictive_accuracy: 0.41, prior_entropy: 3.8572, recall: 0.41, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1374, scimark_benchmark: 945.2086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9295, kappa: 0.9229, kb_relative_information_score: 635.0764, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9309, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.3901, scimark_benchmark: 926.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9375, kappa: 0.9309, kb_relative_information_score: 641.9074, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9385, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.3529, scimark_benchmark: 940.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8683, kappa: 0.8553, kb_relative_information_score: 553.8103, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8876, predictive_accuracy: 0.8682, prior_entropy: 3.8572, recall: 0.8682, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.491, scimark_benchmark: 930.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8373, kappa: 0.8188, kb_relative_information_score: 564.8978, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8514, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.5828, scimark_benchmark: 946.1001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9344, kappa: 0.9293, kb_relative_information_score: 634.2975, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9401, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.319, scimark_benchmark: 866.332,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9064, kappa: 0.8988, kb_relative_information_score: 618.1931, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9106, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4419, scimark_benchmark: 597.1216,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9087, kappa: 0.9004, kb_relative_information_score: 626.9684, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9128, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.3709, scimark_benchmark: 596.2797,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8533, kappa: 0.8408, kb_relative_information_score: 571.1869, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8676, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.55, scimark_benchmark: 925.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9236, kappa: 0.9166, kb_relative_information_score: 637.9439, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9318, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.3712, scimark_benchmark: 913.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 640.5515, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.3114, scimark_benchmark: 937.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6054, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.31, kappa: 0.3305, kb_relative_information_score: 271.6654, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2825, predictive_accuracy: 0.4056, prior_entropy: 3.8572, recall: 0.4056, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.9648, scimark_benchmark: 930.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9034, kappa: 0.894, kb_relative_information_score: 614.5721, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9075, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.444, scimark_benchmark: 919.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9246, kappa: 0.9181, kb_relative_information_score: 631.7842, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.3762, scimark_benchmark: 935.3861,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9352, kappa: 0.9293, kb_relative_information_score: 637.9553, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9365, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.3732, scimark_benchmark: 930.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 941.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.032, kb_relative_information_score: 0.5232, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0181, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001, scimark_benchmark: 928.3259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.936, kappa: 0.9293, kb_relative_information_score: 641.2861, mean_absolute_error: 0.0069, 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: 0.0718, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.357, scimark_benchmark: 896.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.3064, kappa: 0.3334, kb_relative_information_score: 222.0242, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.274, predictive_accuracy: 0.41, prior_entropy: 3.8572, recall: 0.41, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1374, scimark_benchmark: 912.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9485, kappa: 0.9438, kb_relative_information_score: 651.6292, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 3.8572, recall: 0.9488, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.276, scimark_benchmark: 944.5622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9397, kappa: 0.9342, kb_relative_information_score: 641.4264, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3493, scimark_benchmark: 947.2372,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 938.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9194, kappa: 0.9132, kb_relative_information_score: 627.2744, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9233, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.3765, scimark_benchmark: 897.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9318, kappa: 0.9262, kb_relative_information_score: 639.7544, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.358, scimark_benchmark: 937.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 640.3553, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9384, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.067, root_relative_squared_error: 0.3057, scimark_benchmark: 925.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9371, kappa: 0.931, kb_relative_information_score: 643.8213, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.938, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3507, scimark_benchmark: 946.4279,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.923, kappa: 0.9165, kb_relative_information_score: 631.5803, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9312, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.083, root_relative_squared_error: 0.3787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.928, kappa: 0.9213, kb_relative_information_score: 635.1927, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9292, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.392, scimark_benchmark: 923.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9352, kappa: 0.9293, kb_relative_information_score: 600.0049, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.939, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3886, scimark_benchmark: 936.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9431, kappa: 0.9374, kb_relative_information_score: 644.4096, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9449, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.077, root_relative_squared_error: 0.3513, scimark_benchmark: 939.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9384, kappa: 0.9326, kb_relative_information_score: 642.3198, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9397, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.3593, scimark_benchmark: 910.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.902, kappa: 0.8924, kb_relative_information_score: 612.628, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.906, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4494, scimark_benchmark: 946.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9302, kappa: 0.9245, kb_relative_information_score: 629.8496, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9345, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3384, scimark_benchmark: 948.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9095, kappa: 0.9021, kb_relative_information_score: 622.6671, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9139, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9469, kappa: 0.9422, kb_relative_information_score: 644.0042, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9477, predictive_accuracy: 0.9473, prior_entropy: 3.8572, recall: 0.9473, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.334, scimark_benchmark: 935.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8595, kappa: 0.8627, kb_relative_information_score: 126.6382, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8722, predictive_accuracy: 0.8755, prior_entropy: 3.8572, recall: 0.8755, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9095, kappa: 0.9021, kb_relative_information_score: 622.6671, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9139, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416, scimark_benchmark: 943.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 631.1917, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9362, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3228, scimark_benchmark: 938.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.1102, kappa: 0.1519, kb_relative_information_score: 168.3147, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0697, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.9511, scimark_benchmark: 927.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9335, kappa: 0.9277, kb_relative_information_score: 625.8729, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9357, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3453, scimark_benchmark: 935.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9181, kappa: 0.9116, kb_relative_information_score: 596.3693, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9235, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.416, scimark_benchmark: 911.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.915, kappa: 0.9068, kb_relative_information_score: 626.5053, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9176, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.4187, scimark_benchmark: 920.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 921.8309,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.4631, kappa: 0.4838, kb_relative_information_score: 289.0657, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.4358, predictive_accuracy: 0.5403, prior_entropy: 3.8572, recall: 0.5403, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7992, scimark_benchmark: 938.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.3137, kappa: 0.3342, kb_relative_information_score: 266.1624, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2891, predictive_accuracy: 0.4085, prior_entropy: 3.8572, recall: 0.4085, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9151, kappa: 0.9068, kb_relative_information_score: 629.9043, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9167, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.3909, scimark_benchmark: 919.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9428, kappa: 0.9374, kb_relative_information_score: 645.205, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9435, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3363, scimark_benchmark: 947.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9097, kappa: 0.902, kb_relative_information_score: 622.3238, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9144, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3943, scimark_benchmark: 861.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6051, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635, scimark_benchmark: 948.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9431, kappa: 0.9374, kb_relative_information_score: 645.975, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9453, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.3354, scimark_benchmark: 906.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9393, kappa: 0.9342, kb_relative_information_score: 612.2092, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9417, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.3419, scimark_benchmark: 948.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9135, kappa: 0.9052, kb_relative_information_score: 631.0837, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9146, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.3871, scimark_benchmark: 578.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9275, kappa: 0.9213, kb_relative_information_score: 128.7779, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 576.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 946.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.4631, kappa: 0.4838, kb_relative_information_score: 289.0657, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.4358, predictive_accuracy: 0.5403, prior_entropy: 3.8572, recall: 0.5403, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7992, scimark_benchmark: 945.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9364, kappa: 0.9309, kb_relative_information_score: 599.7631, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9404, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.391, scimark_benchmark: 944.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.1584, kappa: 0.1932, kb_relative_information_score: 220.3182, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1319, predictive_accuracy: 0.2782, prior_entropy: 3.8572, recall: 0.2782, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9279, scimark_benchmark: 925.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 639.1763, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9398, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.3278, scimark_benchmark: 942.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9248, kappa: 0.9183, kb_relative_information_score: 638.2368, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9335, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.3669, scimark_benchmark: 942.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9381, kappa: 0.9326, kb_relative_information_score: 637.0133, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9394, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.317, scimark_benchmark: 942.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.4038, kappa: 0.4618, kb_relative_information_score: 212.2667, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.3346, predictive_accuracy: 0.5286, prior_entropy: 3.8572, recall: 0.5286, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.8574, scimark_benchmark: 947.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9143, kappa: 0.9068, kb_relative_information_score: 622.136, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9176, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.094, root_relative_squared_error: 0.4291, scimark_benchmark: 934.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9275, kappa: 0.9213, kb_relative_information_score: 128.7779, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 946.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.0684, kappa: 0.0159, kb_relative_information_score: 48.4025, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1715, predictive_accuracy: 0.1479, prior_entropy: 3.8572, recall: 0.1479, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0011, scimark_benchmark: 943.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9388, kappa: 0.9326, kb_relative_information_score: 645.5757, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3334, scimark_benchmark: 943.4214,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 628.7041, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.374, scimark_benchmark: 934.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9137, kappa: 0.9052, kb_relative_information_score: 625.6488, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9163, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4215, scimark_benchmark: 945.9977,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9175, kappa: 0.9101, kb_relative_information_score: 628.4211, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9224, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3677, scimark_benchmark: 935.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9338, kappa: 0.9277, kb_relative_information_score: 636.9991, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9348, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.3506, scimark_benchmark: 911.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8588, kappa: 0.8453, kb_relative_information_score: 472.7284, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8751, predictive_accuracy: 0.8594, prior_entropy: 3.8572, recall: 0.8594, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5896, scimark_benchmark: 943.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9097, kappa: 0.902, kb_relative_information_score: 622.3238, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9144, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3943, scimark_benchmark: 944.9642,

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