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: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9103, kappa: 0.9009, kb_relative_information_score: 629.5666, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9268, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8952, kappa: 0.886, kb_relative_information_score: 568.153, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9064, predictive_accuracy: 0.896, prior_entropy: 3.8572, recall: 0.896, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8849, kappa: 0.8703, kb_relative_information_score: 610.9777, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9127, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8306, kappa: 0.8197, kb_relative_information_score: 578.6435, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8871, predictive_accuracy: 0.836, prior_entropy: 3.8572, recall: 0.836, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9115, kappa: 0.9025, kb_relative_information_score: 629.4534, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9277, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, kappa: 0.4773, kb_relative_information_score: 318.0731, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5403, prior_entropy: 3.8572, recall: 0.5403, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, kappa: 0.3716, kb_relative_information_score: 240.5641, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4539, prior_entropy: 3.8572, recall: 0.4539, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, kappa: 0.7817, kb_relative_information_score: 544.644, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8023, prior_entropy: 3.8572, recall: 0.8023, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, kappa: 0.3805, kb_relative_information_score: 254.1326, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4612, prior_entropy: 3.8572, recall: 0.4612, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9113, kappa: 0.9025, kb_relative_information_score: 630.2348, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9267, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.4259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kappa: -0.0013, kb_relative_information_score: 36.4658, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1083, prior_entropy: 3.8572, recall: 0.1083, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, kappa: 0.3382, kb_relative_information_score: 218.2075, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4261, prior_entropy: 3.8572, recall: 0.4261, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2204, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9414, kappa: 0.9358, kb_relative_information_score: 646.9603, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9431, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, kappa: 0.3771, kb_relative_information_score: 261.5324, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4583, prior_entropy: 3.8572, recall: 0.4583, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9128, kappa: 0.9041, kb_relative_information_score: 631.2566, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9279, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.092, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.928, kappa: 0.9214, kb_relative_information_score: 637.5318, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9283, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.8047, kb_relative_information_score: 496.8691, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8228, prior_entropy: 3.8572, recall: 0.8228, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9307, kappa: 0.9246, kb_relative_information_score: 636.7032, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9324, 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: 0.9829, kappa: 0.708, kb_relative_information_score: 414.3569, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7365, prior_entropy: 3.8572, recall: 0.7365, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.151, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9336, kappa: 0.9277, kb_relative_information_score: 586.6568, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9351, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9232, kappa: 0.9165, kb_relative_information_score: 567.9196, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9297, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kappa: -0.002, kb_relative_information_score: 5.6709, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kappa: 0.0037, kb_relative_information_score: 4.3603, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1362, prior_entropy: 3.8572, recall: 0.1362, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, kappa: 0.1182, kb_relative_information_score: 54.3433, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2343, prior_entropy: 3.8572, recall: 0.2343, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9277, kappa: 0.9213, kb_relative_information_score: 587.3215, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9288, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, kappa: 0.6145, kb_relative_information_score: 306.3345, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.653, prior_entropy: 3.8572, recall: 0.653, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 5.1442, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1288, prior_entropy: 3.8572, recall: 0.1288, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2192, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 584.0992, mean_absolute_error: 0.0283, 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: 0.294, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, kappa: 0.1203, kb_relative_information_score: 51.4081, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2357, prior_entropy: 3.8572, recall: 0.2357, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9337, kappa: 0.9277, kb_relative_information_score: 583.0832, mean_absolute_error: 0.0288, 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: 0.2998, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9162, kappa: 0.9101, kb_relative_information_score: 626.3107, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9217, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, kappa: 0.1506, kb_relative_information_score: 125.8248, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9351, kappa: 0.9293, kb_relative_information_score: 585.2127, mean_absolute_error: 0.028, 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: 0.2914, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.088, root_relative_squared_error: 0.4015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9393, kappa: 0.9342, kb_relative_information_score: 642.6015, 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: 0.9962, f_measure: 0.9411, kappa: 0.9358, kb_relative_information_score: 636.2482, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9411, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.07, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9384, kappa: 0.9326, kb_relative_information_score: 645.157, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9261, kappa: 0.9198, kb_relative_information_score: 634.2688, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9276, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, kappa: 0.8515, kb_relative_information_score: 505.6666, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8653, prior_entropy: 3.8572, recall: 0.8653, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, kappa: 0.8324, kb_relative_information_score: 550.7109, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8477, prior_entropy: 3.8572, recall: 0.8477, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, kappa: 0.8139, kb_relative_information_score: 466.5165, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8316, prior_entropy: 3.8572, recall: 0.8316, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, kappa: 0.8382, kb_relative_information_score: 431.9441, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8536, prior_entropy: 3.8572, recall: 0.8536, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, kappa: 0.8872, kb_relative_information_score: 564.837, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, kappa: 0.8776, kb_relative_information_score: 531.2933, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8887, prior_entropy: 3.8572, recall: 0.8887, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, kappa: 0.8129, kb_relative_information_score: 476.6071, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8302, prior_entropy: 3.8572, recall: 0.8302, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, kappa: 0.8348, kb_relative_information_score: 389.8004, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8507, prior_entropy: 3.8572, recall: 0.8507, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9367, kappa: 0.931, kb_relative_information_score: 637.0863, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9382, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, 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: 0.9617, f_measure: 0.9324, kappa: 0.9262, kb_relative_information_score: 638.0374, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9336, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, kappa: 0.4832, kb_relative_information_score: 304.4221, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5461, prior_entropy: 3.8572, recall: 0.5461, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9262, kappa: 0.9212, kb_relative_information_score: 632.56, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9387, 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: 0.9589, f_measure: 0.9278, kappa: 0.9213, kb_relative_information_score: 635.8324, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9287, 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: 0.9944, kappa: 0.8813, kb_relative_information_score: 617.7345, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, kappa: 0.7919, kb_relative_information_score: 347.7185, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8126, prior_entropy: 3.8572, recall: 0.8126, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8945, kappa: 0.8921, kb_relative_information_score: 545.4546, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9144, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9247, kappa: 0.9181, kb_relative_information_score: 618.3718, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.931, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.3545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, kappa: 0.8436, kb_relative_information_score: 515.1225, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.858, prior_entropy: 3.8572, recall: 0.858, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9278, kappa: 0.9213, kb_relative_information_score: 635.8324, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9287, 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: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, kappa: 0.7924, kb_relative_information_score: 502.9195, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8111, prior_entropy: 3.8572, recall: 0.8111, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.134, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9267, kappa: 0.9212, kb_relative_information_score: 597.5222, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9368, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.085, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, kappa: 0.8599, kb_relative_information_score: 520.727, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8726, prior_entropy: 3.8572, recall: 0.8726, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 641.4945, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9388, 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: 0.9939, kappa: 0.8743, kb_relative_information_score: 534.5266, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8858, prior_entropy: 3.8572, recall: 0.8858, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, kappa: 0.8814, kb_relative_information_score: 593.5208, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, kappa: 0.8941, kb_relative_information_score: 598.8991, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, kappa: 0.9037, kb_relative_information_score: 600.2173, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9161, kappa: 0.9084, kb_relative_information_score: 626.2669, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9182, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, kappa: 0.8672, kb_relative_information_score: 551.9113, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8785, prior_entropy: 3.8572, recall: 0.8785, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9241, kappa: 0.9181, kb_relative_information_score: 623.594, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9286, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9283, kappa: 0.9229, kb_relative_information_score: 619.916, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9344, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9323, kappa: 0.9277, kb_relative_information_score: 636.7978, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9437, 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: 0.9615, f_measure: 0.931, kappa: 0.9261, kb_relative_information_score: 635.9886, 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: 0.995, kappa: 0.897, kb_relative_information_score: 596.2184, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, kappa: 0.9067, kb_relative_information_score: 626.3644, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9073, kappa: 0.9035, kb_relative_information_score: 605.3404, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9198, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, kappa: 0.4052, kb_relative_information_score: 266.3415, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4802, prior_entropy: 3.8572, recall: 0.4802, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, 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: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9287, kappa: 0.9229, kb_relative_information_score: 615.1555, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9345, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0392, 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: 0.647, kappa: 0.2965, kb_relative_information_score: 202.6011, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.388, prior_entropy: 3.8572, recall: 0.388, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2538, root_relative_squared_error: 1.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, kappa: 0.1381, kb_relative_information_score: 125.8011, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.282,

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