OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4377, kb_relative_information_score: 140.3904, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5735, root_relative_squared_error: 1.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 0.8164, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5319, kappa: -0.0059, kb_relative_information_score: -5.6712, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4438, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5657, kappa: 0.0137, kb_relative_information_score: -21.1147, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5669, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, kb_relative_information_score: 78.7489, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.4912, kappa: -0.0539, kb_relative_information_score: -123.6208, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5289, predictive_accuracy: 0.4762, prior_entropy: 0.9188, recall: 0.4762, relative_absolute_error: 1.1126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5213, kappa: 0.0255, kb_relative_information_score: -101.5608, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5686, predictive_accuracy: 0.5074, prior_entropy: 0.9188, recall: 0.5074, relative_absolute_error: 1.0895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.5528, kappa: 0.0057, kb_relative_information_score: -30.9286, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5634, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.1079, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, f_measure: 0.544, kappa: 0.0058, kb_relative_information_score: 20.8946, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5733, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4754, f_measure: 0.551, kappa: 0.0086, kb_relative_information_score: -5.3021, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5705, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, kb_relative_information_score: 141.9018, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4352, kb_relative_information_score: 132.0225, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4634, f_measure: 0.5503, kappa: 0.0116, kb_relative_information_score: 11.2674, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5791, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5213, kappa: 0.0255, kb_relative_information_score: -101.5943, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5686, predictive_accuracy: 0.5074, prior_entropy: 0.9188, recall: 0.5074, relative_absolute_error: 1.0896, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5228, kappa: 0.0275, kb_relative_information_score: -102.7501, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5696, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0911, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, kb_relative_information_score: -0.9934, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -16.3401, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, kb_relative_information_score: 76.2238, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.5467, kappa: -0.0493, kb_relative_information_score: -94.0678, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5313, predictive_accuracy: 0.5774, prior_entropy: 0.9188, recall: 0.5774, relative_absolute_error: 1.0793, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.5661, kappa: 0.0026, kb_relative_information_score: -18.155, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5573, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5619, kappa: 0.0197, kb_relative_information_score: -18.8949, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5785, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.5169, kappa: 0.0176, kb_relative_information_score: -109.1363, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5646, predictive_accuracy: 0.503, prior_entropy: 0.9188, recall: 0.503, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4787, f_measure: 0.5446, kappa: -0.0086, kb_relative_information_score: -113.942, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5422, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 1.0969, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, kb_relative_information_score: -1.3647, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4609, f_measure: 0.5432, kappa: 0.0029, kb_relative_information_score: -33.5188, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5638, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -16.5922, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, f_measure: 0.5111, kappa: 0.0078, kb_relative_information_score: -118.1534, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5596, predictive_accuracy: 0.497, prior_entropy: 0.9188, recall: 0.497, relative_absolute_error: 1.1081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4362, kb_relative_information_score: 137.7727, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, kb_relative_information_score: -2.4369, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5308, kappa: -0.0811, kb_relative_information_score: -44.2858, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5179, predictive_accuracy: 0.5506, prior_entropy: 0.9188, recall: 0.5506, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6002, root_relative_squared_error: 1.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.494, kappa: -0.0396, kb_relative_information_score: -123.7833, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5357, predictive_accuracy: 0.4792, prior_entropy: 0.9188, recall: 0.4792, relative_absolute_error: 1.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.5431, kappa: -0.0086, kb_relative_information_score: -29.2117, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5406, predictive_accuracy: 0.6518, prior_entropy: 0.9188, recall: 0.6518, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.8191, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5319, kappa: -0.0059, kb_relative_information_score: -5.6712, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4438, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5319, kappa: -0.0059, kb_relative_information_score: -5.6712, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4438, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4617, f_measure: 0.5251, kappa: -0.0839, kb_relative_information_score: -42.8175, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4928, predictive_accuracy: 0.6027, prior_entropy: 0.9188, recall: 0.6027, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.1089, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, kb_relative_information_score: -1.9896, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5352, kappa: -0.0146, kb_relative_information_score: -18.3171, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5142, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5602, kappa: -0.0171, kb_relative_information_score: -17.3773, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5473, predictive_accuracy: 0.5863, prior_entropy: 0.9188, recall: 0.5863, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 10.2882, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -16.2451, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, kb_relative_information_score: -10.0869, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5227, kappa: 0.0294, kb_relative_information_score: -101.3336, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5706, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.0892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4983, kappa: -0.0256, kb_relative_information_score: -123.5591, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5426, predictive_accuracy: 0.4836, prior_entropy: 0.9188, recall: 0.4836, relative_absolute_error: 1.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4955, kappa: -0.0356, kb_relative_information_score: -123.7889, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5376, predictive_accuracy: 0.4807, prior_entropy: 0.9188, recall: 0.4807, relative_absolute_error: 1.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.514, kappa: 0.0137, kb_relative_information_score: -119.9627, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5626, predictive_accuracy: 0.5, prior_entropy: 0.9188, recall: 0.5, relative_absolute_error: 1.1099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5661, kappa: 0.0026, kb_relative_information_score: -18.3006, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5573, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5575, kappa: 0.0028, kb_relative_information_score: -20.5341, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5583, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4406, kb_relative_information_score: 91.126, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.7586, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4381, kb_relative_information_score: 126.7986, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5544, root_relative_squared_error: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4373, kb_relative_information_score: 130.0409, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5645, kappa: -0.0026, kb_relative_information_score: -17.0028, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5539, predictive_accuracy: 0.622, prior_entropy: 0.9188, recall: 0.622, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5319, kappa: -0.0059, kb_relative_information_score: -5.6712, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4438, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.529, kappa: -0.0177, kb_relative_information_score: -6.16, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4424, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5283, kappa: -0.0206, kb_relative_information_score: -3.785, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4421, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 0.8164, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4389, kb_relative_information_score: 123.7885, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5635, kappa: -0.0053, kb_relative_information_score: -15.7319, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5523, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.5096, kappa: 0.0059, kb_relative_information_score: -118.6103, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5586, predictive_accuracy: 0.4955, prior_entropy: 0.9188, recall: 0.4955, relative_absolute_error: 1.1086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5213, kappa: 0.0255, kb_relative_information_score: -101.746, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5686, predictive_accuracy: 0.5074, prior_entropy: 0.9188, recall: 0.5074, relative_absolute_error: 1.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.5658, kappa: 0.0165, kb_relative_information_score: -21.031, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5701, predictive_accuracy: 0.6458, prior_entropy: 0.9188, recall: 0.6458, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5183, kappa: 0.0215, kb_relative_information_score: -103.6935, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5666, predictive_accuracy: 0.5045, prior_entropy: 0.9188, recall: 0.5045, relative_absolute_error: 1.0923, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.519, root_relative_squared_error: 1.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5097, kappa: 0.0039, kb_relative_information_score: -121.41, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5576, predictive_accuracy: 0.4955, prior_entropy: 0.9188, recall: 0.4955, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5676, kappa: 0.0053, kb_relative_information_score: -17.77, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5589, predictive_accuracy: 0.6265, prior_entropy: 0.9188, recall: 0.6265, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, kb_relative_information_score: 140.3771, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5666, kappa: 0.0026, kb_relative_information_score: -17.6734, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5572, predictive_accuracy: 0.625, prior_entropy: 0.9188, recall: 0.625, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.554, kappa: 0.0143, kb_relative_information_score: -7.5924, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5795, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.553, kappa: -0.0233, kb_relative_information_score: -23.9787, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.545, predictive_accuracy: 0.564, prior_entropy: 0.9188, recall: 0.564, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5956, root_relative_squared_error: 1.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5184, kappa: 0.0196, kb_relative_information_score: -105.2306, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5656, predictive_accuracy: 0.5045, prior_entropy: 0.9188, recall: 0.5045, relative_absolute_error: 1.0943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.5213, kappa: 0.0255, kb_relative_information_score: -102.0304, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5686, predictive_accuracy: 0.5074, prior_entropy: 0.9188, recall: 0.5074, relative_absolute_error: 1.0902, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.5111, kappa: 0.0059, kb_relative_information_score: -115.0359, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5586, predictive_accuracy: 0.497, prior_entropy: 0.9188, recall: 0.497, relative_absolute_error: 1.1051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 0.2297, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5666, kappa: 0.0053, kb_relative_information_score: -19.8532, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5591, predictive_accuracy: 0.6295, prior_entropy: 0.9188, recall: 0.6295, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.542, kappa: -0.0518, kb_relative_information_score: -32.6801, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5319, predictive_accuracy: 0.5565, prior_entropy: 0.9188, recall: 0.5565, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5669, root_relative_squared_error: 1.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -1.0361, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.529, kappa: -0.0177, kb_relative_information_score: -6.5421, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4424, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5305, kappa: -0.0118, kb_relative_information_score: -10.7701, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4431, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0113,

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