Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
1 likes downloaded by 6 people , 12 total downloads 0 issues
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.7405, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 457.5897, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8771, kappa: 0.7521, kb_relative_information_score: 404.979, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8787, predictive_accuracy: 0.8768, prior_entropy: 0.9913, recall: 0.8768, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8565, kappa: 0.7094, kb_relative_information_score: 408.655, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0912, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 353.5779, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8709, kappa: 0.7383, kb_relative_information_score: 350.9433, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6138, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.0031, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0144, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.574, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.0716, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2888, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.807, kappa: 0.6089, kb_relative_information_score: 383.7881, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8069, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.845, kappa: 0.6861, kb_relative_information_score: 424.7334, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.845, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: 13.7941, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.85, kappa: 0.6955, kb_relative_information_score: 285.0645, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8512, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 189.3942, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8196, kappa: 0.634, kb_relative_information_score: 376.5932, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8201, predictive_accuracy: 0.8203, prior_entropy: 0.9913, recall: 0.8203, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.6908, kappa: 0.3732, kb_relative_information_score: 228.2945, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6905, predictive_accuracy: 0.6913, prior_entropy: 0.9913, recall: 0.6913, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -75.5846, mean_absolute_error: 0.542, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.816, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.931, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8541, kappa: 0.7068, kb_relative_information_score: 391.118, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.595, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8679, kappa: 0.7322, kb_relative_information_score: 355.2369, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3671, f_measure: 0.4986, kappa: -0.0048, kb_relative_information_score: -69.7949, mean_absolute_error: 0.5447, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5036, predictive_accuracy: 0.4971, prior_entropy: 0.9913, recall: 0.4971, relative_absolute_error: 1.1027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6917, root_relative_squared_error: 1.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8005, kappa: 0.5979, kb_relative_information_score: 396.9947, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8026, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.148, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.867, kappa: 0.7323, kb_relative_information_score: 401.917, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.8747, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.7362, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0194, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.2572, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8481, kappa: 0.6915, kb_relative_information_score: 323.6666, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8511, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.7017, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.2432, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 410.8418, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7394, kappa: 0.4709, kb_relative_information_score: 202.009, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.742, predictive_accuracy: 0.742, prior_entropy: 0.9913, recall: 0.742, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8623, kappa: 0.7212, kb_relative_information_score: 439.8506, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8635, kappa: 0.7233, kb_relative_information_score: 289.8913, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.3157, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.7145, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 326.9974, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 180.956, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.8979, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.1601, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 408.7805, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.5645, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.854, kappa: 0.7058, kb_relative_information_score: 410.5471, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.5228, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 417.8588, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -8.9092, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2804, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.6215, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0106, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.2936, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 426.2847, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 406.5941, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.3969, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8526, kappa: 0.7034, kb_relative_information_score: 421.5402, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8558, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.1022, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8582, kappa: 0.7134, kb_relative_information_score: 449.1911, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.967, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8539, kappa: 0.7051, kb_relative_information_score: 387.2971, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.026, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.867, kappa: 0.7323, kb_relative_information_score: 397.1601, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 433.3152, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6059, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.0987, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8328, kappa: 0.6609, kb_relative_information_score: 170.8734, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8596, kappa: 0.7162, kb_relative_information_score: 421.8293, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.5117, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8274, kappa: 0.6505, kb_relative_information_score: 382.0684, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8274, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 380.6058, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 176.8389, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.408, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 436.5262, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.7168, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 221.7292, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.1374, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8678, kappa: 0.7319, kb_relative_information_score: 441.6508, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 412.0234, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8612, kappa: 0.7198, kb_relative_information_score: 390.0598, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.33, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8641, kappa: 0.7258, kb_relative_information_score: 388.7932, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.2686, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.0808, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8517, kappa: 0.6992, kb_relative_information_score: 427.5364, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8522, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.2378, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5714, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.9734, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 188.1632, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.899, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.5227, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2941, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 459.9065, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.2173, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 19.8367, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 182.0843, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8172,

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