Task
Supervised Classification on visualizing_livestock

Supervised Classification on visualizing_livestock

Task 3577 Supervised Classification visualizing_livestock 723 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.3994, kappa: 0.2788, kb_relative_information_score: 38.9781, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4271, predictive_accuracy: 0.4231, prior_entropy: 2.3219, recall: 0.4231, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, kappa: 0.1827, kb_relative_information_score: 25.5875, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.32, number_of_instances: 130, predictive_accuracy: 0.3462, prior_entropy: 2.3219, recall: 0.3462, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.5998, kappa: 0.4904, kb_relative_information_score: 42.4879, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.6428, predictive_accuracy: 0.5923, prior_entropy: 2.3219, recall: 0.5923, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.344, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.2236, kappa: 0.0481, kb_relative_information_score: 17.274, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2266, predictive_accuracy: 0.2385, prior_entropy: 2.3219, recall: 0.2385, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.1453, kappa: -0.0481, kb_relative_information_score: 3.4647, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1356, predictive_accuracy: 0.1615, prior_entropy: 2.3219, recall: 0.1615, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.2392, kappa: 0.0865, kb_relative_information_score: 13.1471, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2402, predictive_accuracy: 0.2692, prior_entropy: 2.3219, recall: 0.2692, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.2654, kappa: 0.1154, kb_relative_information_score: 31.3657, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2714, predictive_accuracy: 0.2923, prior_entropy: 2.3219, recall: 0.2923, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4018, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.4322, kappa: 0.3077, kb_relative_information_score: 37.0358, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4304, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.2821, kappa: 0.1346, kb_relative_information_score: 35.3125, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2796, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.2804, kappa: 0.2019, kb_relative_information_score: 28.4895, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2707, predictive_accuracy: 0.3615, prior_entropy: 2.3219, recall: 0.3615, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.2654, kappa: 0.1154, kb_relative_information_score: 32.1048, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2714, predictive_accuracy: 0.2923, prior_entropy: 2.3219, recall: 0.2923, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2526, f_measure: 0.0893, kappa: -0.1346, kb_relative_information_score: -7.0232, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1162, predictive_accuracy: 0.0923, prior_entropy: 2.3219, recall: 0.0923, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4623, root_relative_squared_error: 1.1557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.3428, kappa: 0.3077, kb_relative_information_score: 33.7319, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2792, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.368, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.2599, kappa: 0.1442, kb_relative_information_score: 21.1474, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3501, predictive_accuracy: 0.3154, prior_entropy: 2.3219, recall: 0.3154, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.3867, kappa: 0.2981, kb_relative_information_score: 46.4046, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3947, predictive_accuracy: 0.4385, prior_entropy: 2.3219, recall: 0.4385, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.2599, kappa: 0.1442, kb_relative_information_score: 21.1474, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3501, predictive_accuracy: 0.3154, prior_entropy: 2.3219, recall: 0.3154, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.3867, kappa: 0.2981, kb_relative_information_score: 46.4046, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3947, predictive_accuracy: 0.4385, prior_entropy: 2.3219, recall: 0.4385, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.321, f_measure: 0.2042, kappa: 0.0096, kb_relative_information_score: 2.113, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2095, predictive_accuracy: 0.2077, prior_entropy: 2.3219, recall: 0.2077, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.12, f_measure: 0.0625, kappa: -0.2019, kb_relative_information_score: -6.1144, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1667, predictive_accuracy: 0.0385, prior_entropy: 2.3219, recall: 0.0385, relative_absolute_error: 1.0981, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.445, root_relative_squared_error: 1.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.339, f_measure: 0.1012, kappa: -0.1346, kb_relative_information_score: 0.7416, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1122, predictive_accuracy: 0.0923, prior_entropy: 2.3219, recall: 0.0923, relative_absolute_error: 1.0529, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.3985, kappa: 0.2885, kb_relative_information_score: 23.4607, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3917, predictive_accuracy: 0.4308, prior_entropy: 2.3219, recall: 0.4308, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4423, f_measure: 0.1128, kappa: -0.0577, kb_relative_information_score: 0.375, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0923, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2526, f_measure: 0.0893, kappa: -0.1346, kb_relative_information_score: -7.0232, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1162, predictive_accuracy: 0.0923, prior_entropy: 2.3219, recall: 0.0923, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4623, root_relative_squared_error: 1.1557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.4197, kappa: 0.2981, kb_relative_information_score: 41.5299, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4125, predictive_accuracy: 0.4385, prior_entropy: 2.3219, recall: 0.4385, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.4197, kappa: 0.2981, kb_relative_information_score: 41.5299, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4125, predictive_accuracy: 0.4385, prior_entropy: 2.3219, recall: 0.4385, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.2629, kappa: 0.1346, kb_relative_information_score: 30.4664, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.261, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4699, f_measure: 0.1428, kappa: -0.0577, kb_relative_information_score: 10.4218, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3022, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.3428, kappa: 0.3077, kb_relative_information_score: 34.9399, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2792, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.2587, kappa: 0.1442, kb_relative_information_score: 28.8185, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2548, predictive_accuracy: 0.3154, prior_entropy: 2.3219, recall: 0.3154, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4227, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0896, f_measure: 0.0286, kappa: -0.2308, kb_relative_information_score: -13.8602, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2, predictive_accuracy: 0.0154, prior_entropy: 2.3219, recall: 0.0154, relative_absolute_error: 1.1971, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0896, f_measure: 0.0286, kappa: -0.2308, kb_relative_information_score: -13.8602, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2, predictive_accuracy: 0.0154, prior_entropy: 2.3219, recall: 0.0154, relative_absolute_error: 1.1971, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.2753, kappa: 0.1346, kb_relative_information_score: 29.9659, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2754, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4114, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0413, kappa: -0.25, kb_relative_information_score: -17.3581, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.32, number_of_instances: 130, prior_entropy: 2.3219, relative_absolute_error: 1.2398, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, f_measure: 0.282, kappa: 0.125, kb_relative_information_score: 13.2689, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2672, predictive_accuracy: 0.3, prior_entropy: 2.3219, recall: 0.3, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.3428, kappa: 0.3077, kb_relative_information_score: 34.9399, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2792, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4699, f_measure: 0.1428, kappa: -0.0577, kb_relative_information_score: 10.4218, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3022, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3737, f_measure: 0.1916, kappa: -0.0288, kb_relative_information_score: 8.2436, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2156, predictive_accuracy: 0.1769, prior_entropy: 2.3219, recall: 0.1769, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.44, root_relative_squared_error: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.1263, kappa: -0.0481, kb_relative_information_score: 0.4446, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1262, predictive_accuracy: 0.1615, prior_entropy: 2.3219, recall: 0.1615, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.3301, kappa: 0.1635, kb_relative_information_score: 29.1817, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3307, predictive_accuracy: 0.3308, prior_entropy: 2.3219, recall: 0.3308, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.3682, kappa: 0.2115, kb_relative_information_score: 36.631, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3699, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2553, kappa: -0.25, kb_relative_information_score: -14.3611, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.32, number_of_instances: 130, prior_entropy: 2.3219, relative_absolute_error: 1.2022, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.3784, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.3889, kappa: 0.2692, kb_relative_information_score: 40.8737, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.376, predictive_accuracy: 0.4154, prior_entropy: 2.3219, recall: 0.4154, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0534, usercpu_time_millis: 92.842, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 92.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.3889, kappa: 0.2692, kb_relative_information_score: 40.8737, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.376, predictive_accuracy: 0.4154, prior_entropy: 2.3219, recall: 0.4154, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0534, usercpu_time_millis: 90.692, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 90.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4423, f_measure: 0.1128, kappa: -0.0577, kb_relative_information_score: 0.3907, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.0923, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.001, usercpu_time_millis: 6.33, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 6.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.3597, kappa: 0.3365, kb_relative_information_score: 35.8196, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.294, predictive_accuracy: 0.4692, prior_entropy: 2.3219, recall: 0.4692, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9284, usercpu_time_millis: 52.33, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 52.307,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.3882, kappa: 0.2596, kb_relative_information_score: 41.0095, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.376, predictive_accuracy: 0.4077, prior_entropy: 2.3219, recall: 0.4077, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.0949, usercpu_time_millis: 86.442, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 86.417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.3216, kappa: 0.1731, kb_relative_information_score: 32.0764, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3091, predictive_accuracy: 0.3385, prior_entropy: 2.3219, recall: 0.3385, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.286, usercpu_time_millis: 18.868, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 17.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.3621, kappa: 0.2115, kb_relative_information_score: 36.631, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3571, predictive_accuracy: 0.3692, prior_entropy: 2.3219, recall: 0.3692, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.2558, usercpu_time_millis: 0.137, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.2836, kappa: 0.125, kb_relative_information_score: 26.3831, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2718, predictive_accuracy: 0.3, prior_entropy: 2.3219, recall: 0.3, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.3229, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.2778, kappa: 0.1058, kb_relative_information_score: 24.1058, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2771, predictive_accuracy: 0.2846, prior_entropy: 2.3219, recall: 0.2846, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.3373, usercpu_time_millis: 47.881, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 47.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.3216, kappa: 0.1731, kb_relative_information_score: 32.0764, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.3091, predictive_accuracy: 0.3385, prior_entropy: 2.3219, recall: 0.3385, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.286, usercpu_time_millis: 33.844, usercpu_time_millis_testing: 4.34, usercpu_time_millis_training: 29.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.4471, kappa: 0.3077, kb_relative_information_score: 48.0174, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.4575, predictive_accuracy: 0.4462, prior_entropy: 2.3219, recall: 0.4462, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.1767, usercpu_time_millis: 2.215, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, f_measure: 0.1764, kappa: -0.0577, kb_relative_information_score: 4.7488, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2175, predictive_accuracy: 0.1538, prior_entropy: 2.3219, recall: 0.1538, relative_absolute_error: 1.0577, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.4544, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4087, f_measure: 0.0824, kappa: -0.1827, kb_relative_information_score: -10.0536, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.175, predictive_accuracy: 0.0538, prior_entropy: 2.3219, recall: 0.0538, relative_absolute_error: 1.1827, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.538, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, f_measure: 0.1205, kappa: -0.1346, kb_relative_information_score: -4.3603, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1936, predictive_accuracy: 0.0923, prior_entropy: 2.3219, recall: 0.0923, relative_absolute_error: 1.1346, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.6026, root_relative_squared_error: 1.5064, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.1831, kappa: -0.0288, kb_relative_information_score: 8.1648, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2616, predictive_accuracy: 0.1769, prior_entropy: 2.3219, recall: 0.1769, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.4345, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.238, kappa: 0.0865, kb_relative_information_score: 21.8285, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2502, predictive_accuracy: 0.2692, prior_entropy: 2.3219, recall: 0.2692, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.3516, usercpu_time_millis: 1.385, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0667, kb_relative_information_score: 11.5807, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.04, predictive_accuracy: 0.2, prior_entropy: 2.3219, recall: 0.2, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.4142, usercpu_time_millis: 3.272, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 3.181,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs