Task
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66404 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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66404 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.8468, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8104, kappa: 0.6211, kb_relative_information_score: 1918.0784, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8124, predictive_accuracy: 0.8108, prior_entropy: 0.9998, recall: 0.8108, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7305, kappa: 0.4647, kb_relative_information_score: 491.3906, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7409, predictive_accuracy: 0.7333, prior_entropy: 0.9998, recall: 0.7333, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 11.3417, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -35.4127, mean_absolute_error: 0.5049, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.3605, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -13.7079, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 2.2317, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -59.4224, mean_absolute_error: 0.5084, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.1168, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 1.1127, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.0274, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -1.0929, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 6.5128, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 6.6328, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8457, kappa: 0.6915, kb_relative_information_score: 1305.2953, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8459, predictive_accuracy: 0.8457, prior_entropy: 0.9998, recall: 0.8457, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.3777, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -5.3652, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.834, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9077, kappa: 0.8154, kb_relative_information_score: 2320.4503, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9077, predictive_accuracy: 0.9077, prior_entropy: 0.9998, recall: 0.9077, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.748, kappa: 0.498, kb_relative_information_score: 1013.2703, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7548, predictive_accuracy: 0.7497, prior_entropy: 0.9998, recall: 0.7497, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7819, kappa: 0.564, kb_relative_information_score: 1546.4079, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 0.9998, recall: 0.7823, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.5854, kappa: 0.1709, kb_relative_information_score: 590.8396, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5857, predictive_accuracy: 0.5854, prior_entropy: 0.9998, recall: 0.5854, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6439, root_relative_squared_error: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7427, kappa: 0.489, kb_relative_information_score: 415.5685, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7535, predictive_accuracy: 0.7454, prior_entropy: 0.9998, recall: 0.7454, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7368, kappa: 0.4789, kb_relative_information_score: 842.8135, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7517, predictive_accuracy: 0.7405, prior_entropy: 0.9998, recall: 0.7405, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 0.3861, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.5931, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.1596, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.9662, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.2228, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.223, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 1.2506, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8159, kappa: 0.6317, kb_relative_information_score: 1997.9938, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8166, predictive_accuracy: 0.816, prior_entropy: 0.9998, recall: 0.816, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8419, kappa: 0.6837, kb_relative_information_score: 1887.8933, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.9998, recall: 0.842, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8318, kappa: 0.6636, kb_relative_information_score: 1972.2907, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.832, predictive_accuracy: 0.8319, prior_entropy: 0.9998, recall: 0.8319, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 3.7893, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4.3064, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.5469, kappa: 0.1015, kb_relative_information_score: 342.7397, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5525, predictive_accuracy: 0.5496, prior_entropy: 0.9998, recall: 0.5496, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7855, kappa: 0.5708, kb_relative_information_score: 1484.2096, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7855, predictive_accuracy: 0.7855, prior_entropy: 0.9998, recall: 0.7855, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8582, kappa: 0.7165, kb_relative_information_score: 1984.5233, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8596, predictive_accuracy: 0.8584, prior_entropy: 0.9998, recall: 0.8584, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8162, kappa: 0.6324, kb_relative_information_score: 1928.0656, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9998, recall: 0.8163, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.1237, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.8414, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: 1.1578, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -1.2908, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8045, kappa: 0.6088, kb_relative_information_score: 1984.3869, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8045, predictive_accuracy: 0.8045, prior_entropy: 0.9998, recall: 0.8045, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8708, kappa: 0.7416, kb_relative_information_score: 2509.3189, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8709, predictive_accuracy: 0.8708, prior_entropy: 0.9998, recall: 0.8708, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7344, kappa: 0.4709, kb_relative_information_score: 919.7209, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7406, predictive_accuracy: 0.7362, prior_entropy: 0.9998, recall: 0.7362, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.1085, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8467, kappa: 0.6934, kb_relative_information_score: 1747.1108, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8475, predictive_accuracy: 0.8469, prior_entropy: 0.9998, recall: 0.8469, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 2.0351, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.2564, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.889, kappa: 0.7779, kb_relative_information_score: 2124.6501, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.889, predictive_accuracy: 0.889, prior_entropy: 0.9998, recall: 0.889, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8073, kappa: 0.6145, kb_relative_information_score: 1526.2346, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8074, predictive_accuracy: 0.8074, prior_entropy: 0.9998, recall: 0.8074, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.0247, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7213, kappa: 0.4502, kb_relative_information_score: 552.416, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7408, predictive_accuracy: 0.7264, prior_entropy: 0.9998, recall: 0.7264, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, kb_relative_information_score: 17.974, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7957, kappa: 0.5916, kb_relative_information_score: 1180.6933, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7975, predictive_accuracy: 0.7961, prior_entropy: 0.9998, recall: 0.7961, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 0.3851, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8829, kappa: 0.7658, kb_relative_information_score: 2077.5472, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.883, predictive_accuracy: 0.8829, prior_entropy: 0.9998, recall: 0.8829, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.0019, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 4.8645, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3.3246, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.4916, prior_entropy: 0.9998, recall: 0.4916, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8132, kappa: 0.6264, kb_relative_information_score: 1489.686, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8141, predictive_accuracy: 0.8134, prior_entropy: 0.9998, recall: 0.8134, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7284, kappa: 0.4566, kb_relative_information_score: 1563.5412, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7284, predictive_accuracy: 0.7284, prior_entropy: 0.9998, recall: 0.7284, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7441, kappa: 0.4919, kb_relative_information_score: 449.0419, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7553, predictive_accuracy: 0.7468, prior_entropy: 0.9998, recall: 0.7468, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8307, kappa: 0.6613, kb_relative_information_score: 1688.0781, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8308, predictive_accuracy: 0.8307, prior_entropy: 0.9998, recall: 0.8307, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.0224, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.3908, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.6041, kappa: 0.208, kb_relative_information_score: 722.8903, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6043, predictive_accuracy: 0.6044, prior_entropy: 0.9998, recall: 0.6044, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.629, root_relative_squared_error: 1.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9273, kappa: 0.8547, kb_relative_information_score: 2568.4807, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9274, predictive_accuracy: 0.9273, prior_entropy: 0.9998, recall: 0.9273, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5584, kappa: 0.1186, kb_relative_information_score: 406.7655, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5599, predictive_accuracy: 0.5588, prior_entropy: 0.9998, recall: 0.5588, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.0285, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7425, kappa: 0.485, kb_relative_information_score: 1635.0159, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7426, predictive_accuracy: 0.7425, prior_entropy: 0.9998, recall: 0.7425, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 2282.3405, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9998, recall: 0.876, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 4.1125, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8008, kappa: 0.6014, kb_relative_information_score: 2089.074, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8008, predictive_accuracy: 0.8007, prior_entropy: 0.9998, recall: 0.8007, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8838, kappa: 0.7675, kb_relative_information_score: 1370.6686, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8838, predictive_accuracy: 0.8838, prior_entropy: 0.9998, recall: 0.8838, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.1396, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4453, kappa: 0.0002, kb_relative_information_score: -2.6736, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5003, predictive_accuracy: 0.4951, prior_entropy: 0.9998, recall: 0.4951, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.2495, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7309, kappa: 0.4616, kb_relative_information_score: 1582.8262, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.731, predictive_accuracy: 0.731, prior_entropy: 0.9998, recall: 0.731, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7941, kappa: 0.5883, kb_relative_information_score: 1026.6779, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7952, predictive_accuracy: 0.7944, prior_entropy: 0.9998, recall: 0.7944, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.2393, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.4856, kappa: 0.134, kb_relative_information_score: 155.788, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6693, predictive_accuracy: 0.5614, prior_entropy: 0.9998, recall: 0.5614, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -1.5253, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8626, kappa: 0.7252, kb_relative_information_score: 1895.4488, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8632, predictive_accuracy: 0.8627, prior_entropy: 0.9998, recall: 0.8627, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 6.7962, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.2626, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6719, kappa: 0.3488, kb_relative_information_score: 141.2552, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.6792, predictive_accuracy: 0.6736, prior_entropy: 0.9998, recall: 0.6736, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7479, kappa: 0.4971, kb_relative_information_score: 1154.4485, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7525, predictive_accuracy: 0.7491, prior_entropy: 0.9998, recall: 0.7491, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 1468.0568, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 0.9998, recall: 0.808, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.4877, kappa: 0.0411, kb_relative_information_score: 0.5412, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.5272, predictive_accuracy: 0.5167, prior_entropy: 0.9998, recall: 0.5167, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7978, kappa: 0.5957, kb_relative_information_score: 1006.9751, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7993, predictive_accuracy: 0.7982, prior_entropy: 0.9998, recall: 0.7982, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4555, kappa: -0.0002, kb_relative_information_score: -0.6187, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.4999, predictive_accuracy: 0.5049, prior_entropy: 0.9998, recall: 0.5049, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8653, kappa: 0.7305, kb_relative_information_score: 1976.0863, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8656, predictive_accuracy: 0.8653, prior_entropy: 0.9998, recall: 0.8653, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.724, kappa: 0.4484, kb_relative_information_score: 1183.9019, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7248, predictive_accuracy: 0.724, prior_entropy: 0.9998, recall: 0.724, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7169, kappa: 0.4348, kb_relative_information_score: 884.9915, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.72, predictive_accuracy: 0.718, prior_entropy: 0.9998, recall: 0.718, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -0.9845, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 9.338, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0072,

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