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: 0.5765, 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: 0.9559, f_measure: 0.9223, kappa: 0.9149, kb_relative_information_score: 632.5923, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9232, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1474, kb_relative_information_score: 127.7056, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2577, prior_entropy: 3.8572, recall: 0.2577, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2795, root_relative_squared_error: 1.2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.929, kappa: 0.923, kb_relative_information_score: 637.6677, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9307, 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: 0.9616, f_measure: 0.9317, kappa: 0.9261, kb_relative_information_score: 637.2476, 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: 0.9632, f_measure: 0.9345, kappa: 0.9293, kb_relative_information_score: 638.3683, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9454, 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: 0.5187, 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: 0.4276, kappa: -0.1448, kb_relative_information_score: -20.3206, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0059, prior_entropy: 3.8572, recall: 0.0059, relative_absolute_error: 1.0888, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3235, root_relative_squared_error: 1.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.928, kappa: 0.9213, kb_relative_information_score: 633.2825, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, 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: 0.9598, 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: 0.5762, kappa: 0.153, kb_relative_information_score: 124.7503, 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: 0.9034, kappa: 0.8135, kb_relative_information_score: 550.8304, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8316, prior_entropy: 3.8572, recall: 0.8316, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9264, kappa: 0.9213, kb_relative_information_score: 633.7973, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9353, 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: 0.9649, 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: 0.9381, f_measure: 0.8901, kappa: 0.8797, kb_relative_information_score: 612.6798, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8929, predictive_accuracy: 0.8902, prior_entropy: 3.8572, recall: 0.8902, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4907,
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: 0.9636, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 639.8955, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9366, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, 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: 0.9225, 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: 0.9234, 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: 0.9666, f_measure: 0.9402, kappa: 0.9358, kb_relative_information_score: 642.6345, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9489, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9339, 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: 0.936, 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: 0.8647, f_measure: 0.7559, kappa: 0.7351, kb_relative_information_score: 522.8224, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7614, predictive_accuracy: 0.7584, prior_entropy: 3.8572, recall: 0.7584, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, kappa: 0.4066, kb_relative_information_score: 252.6508, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4832, prior_entropy: 3.8572, recall: 0.4832, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2332, root_relative_squared_error: 1.0645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kappa: 0.0054, kb_relative_information_score: 53.3145, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1391, prior_entropy: 3.8572, recall: 0.1391, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.301, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.928, kappa: 0.9213, kb_relative_information_score: 634.8132, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9286, 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: 0.9606, f_measure: 0.9297, kappa: 0.9245, kb_relative_information_score: 635.4225, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.941, 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: 0.9651, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 642.0355, mean_absolute_error: 0.0065, 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: 0.0673, 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: 0.4875, 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: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9337, 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: 0.9357, 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: 0.9609, 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: 0.9629, f_measure: 0.934, kappa: 0.9293, kb_relative_information_score: 638.3649, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9459, 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: 0.9662, f_measure: 0.9398, kappa: 0.9342, kb_relative_information_score: 642.3333, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9421, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, 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: 0.5187, 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: 0.5086, kappa: 0.0172, kb_relative_information_score: 59.0062, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1493, prior_entropy: 3.8572, recall: 0.1493, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3657,
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: 0.5187, 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: 0.5195, kappa: 0.0391, kb_relative_information_score: 69.5872, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1684, prior_entropy: 3.8572, recall: 0.1684, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3503,
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: 0.7949, kappa: 0.5932, kb_relative_information_score: 379.7171, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6384, prior_entropy: 3.8572, recall: 0.6384, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.7882, kappa: 0.7701, kb_relative_information_score: 519.4398, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8646, predictive_accuracy: 0.7936, prior_entropy: 3.8572, recall: 0.7936, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6728,
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: 0.9601, 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: 0.5773, kappa: 0.1551, kb_relative_information_score: 125.5595, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2679, prior_entropy: 3.8572, recall: 0.2679, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9268, kappa: 0.9228, kb_relative_information_score: 633.5838, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9416, 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: 0.9329, 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: 0.8853, kappa: 0.7773, kb_relative_information_score: 522.733, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7994, prior_entropy: 3.8572, recall: 0.7994, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, kappa: 0.4014, kb_relative_information_score: 250.0844, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4773, prior_entropy: 3.8572, recall: 0.4773, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0705,
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: 0.9627, f_measure: 0.9338, kappa: 0.9278, kb_relative_information_score: 639.0829, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9352, 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: 0.4287, kappa: -0.1424, kb_relative_information_score: -20.3241, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0059, prior_entropy: 3.8572, recall: 0.0059, relative_absolute_error: 1.0888, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3235, root_relative_squared_error: 1.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, 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: 0.9338, 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: 0.9649, f_measure: 0.9373, kappa: 0.9325, kb_relative_information_score: 640.5014, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9469, 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: 0.5001, kappa: 0.0001, 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: 0.5739, kappa: 0.1483, kb_relative_information_score: 122.2773, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2621, prior_entropy: 3.8572, recall: 0.2621, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2787, root_relative_squared_error: 1.272,
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: 0.7475, kappa: 0.5026, kb_relative_information_score: 332.6884, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5622, prior_entropy: 3.8572, recall: 0.5622, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9252, kappa: 0.9181, kb_relative_information_score: 634.2141, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9258, 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: 0.9662, f_measure: 0.9397, kappa: 0.9342, kb_relative_information_score: 642.3333, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9426, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, 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: 0.9607, f_measure: 0.9301, kappa: 0.9245, kb_relative_information_score: 636.435, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9365, 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: 0.9635, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 639.9023, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9373, 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: 0.929, kappa: 0.8642, kb_relative_information_score: 589.518, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.877, prior_entropy: 3.8572, recall: 0.877, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9143, kappa: 0.9099, kb_relative_information_score: 625.5489, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9295, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.424,
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: 0.9649, f_measure: 0.9373, kappa: 0.9325, kb_relative_information_score: 640.5014, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9469, 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: 0.9612, f_measure: 0.9311, kappa: 0.9261, kb_relative_information_score: 636.7465, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9428, 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: 0.9559, f_measure: 0.9223, kappa: 0.9149, kb_relative_information_score: 632.5923, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9232, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9282, kappa: 0.9228, kb_relative_information_score: 634.6134, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.939, 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: 0.5187, 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: 0.9314, 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: 0.4265, kappa: -0.147, 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: 0.9308, kappa: 0.8675, kb_relative_information_score: 592.6807, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8799, prior_entropy: 3.8572, recall: 0.8799, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, kappa: 0.6184, kb_relative_information_score: 408.3039, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6618, prior_entropy: 3.8572, recall: 0.6618, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9337, 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: 0.9357, 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: 0.5914, f_measure: 0.2722, kappa: 0.1685, kb_relative_information_score: 102.9226, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.376, predictive_accuracy: 0.2211, prior_entropy: 3.8572, recall: 0.2211, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2863, root_relative_squared_error: 1.3068,
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: 0.9624, f_measure: 0.9329, kappa: 0.9277, kb_relative_information_score: 638.5749, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9389, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 640.7115, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9397, 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: 0.5187, 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: 0.964, f_measure: 0.9356, 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: 0.9454, 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: 0.9609, 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: 0.9601, 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: 0.9649, f_measure: 0.9373, kappa: 0.9325, kb_relative_information_score: 640.5014, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9469, 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: 0.9601, 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: 0.5187, 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: 0.9599, f_measure: 0.9295, kappa: 0.9229, kb_relative_information_score: 635.6258, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.93, 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: 0.9323, 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: 0.5764, 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: 0.7451, kappa: 0.4948, kb_relative_information_score: 308.3513, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5578, prior_entropy: 3.8572, recall: 0.5578, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9144, kappa: 0.907, kb_relative_information_score: 629.552, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9156, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9314, kappa: 0.9261, kb_relative_information_score: 636.2317, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9427, 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: 0.9627, f_measure: 0.9339, kappa: 0.9278, kb_relative_information_score: 639.5942, mean_absolute_error: 0.0069, 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: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,

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

OpenML APIs