Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -961.1948, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0871, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.841, kappa: 0.6134, kb_relative_information_score: 2754.5197, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8402, predictive_accuracy: 0.8425, prior_entropy: 0.8733, recall: 0.8425, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8311, kappa: 0.587, kb_relative_information_score: 2297.3575, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8301, predictive_accuracy: 0.8338, prior_entropy: 0.8733, recall: 0.8338, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8009, kappa: 0.5084, kb_relative_information_score: 1818.8003, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8003, predictive_accuracy: 0.8072, prior_entropy: 0.8733, recall: 0.8072, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.1042, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.2317, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 165.0185, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4565, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -105.1266, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 56.7442, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: -47.8458, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7877, kappa: 0.4795, kb_relative_information_score: 1682.2722, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7858, predictive_accuracy: 0.792, prior_entropy: 0.8733, recall: 0.792, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.369, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7617, kappa: 0.4077, kb_relative_information_score: 1943.9041, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7608, predictive_accuracy: 0.7724, prior_entropy: 0.8733, recall: 0.7724, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -162.0776, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.0229, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 21.489, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7475, kappa: 0.368, kb_relative_information_score: 1230.0583, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7496, predictive_accuracy: 0.7639, prior_entropy: 0.8733, recall: 0.7639, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7635, kappa: 0.4152, kb_relative_information_score: 1369.195, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7613, predictive_accuracy: 0.7715, prior_entropy: 0.8733, recall: 0.7715, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -37.7702, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 38.4817, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.5626, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 50.8953, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8243, kappa: 0.5756, kb_relative_information_score: 2372.1725, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.824, predictive_accuracy: 0.8246, prior_entropy: 0.8733, recall: 0.8246, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.6328, kappa: 0.0988, kb_relative_information_score: 921.5421, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7677, predictive_accuracy: 0.7259, prior_entropy: 0.8733, recall: 0.7259, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -3.288, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7963, kappa: 0.5002, kb_relative_information_score: 1766.875, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7946, predictive_accuracy: 0.8005, prior_entropy: 0.8733, recall: 0.8005, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7744, kappa: 0.4474, kb_relative_information_score: 1552.9278, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7722, predictive_accuracy: 0.7787, prior_entropy: 0.8733, recall: 0.7787, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -234.6736, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7432, kappa: 0.3561, kb_relative_information_score: 1263.0358, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7465, predictive_accuracy: 0.7615, prior_entropy: 0.8733, recall: 0.7615, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 79.6085, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -87.5129, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6804, kappa: 0.2529, kb_relative_information_score: 801.6291, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.692, predictive_accuracy: 0.6728, prior_entropy: 0.8733, recall: 0.6728, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5603, root_relative_squared_error: 1.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -22.3396, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -42.6676, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8012, kappa: 0.5169, kb_relative_information_score: 2021.8354, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8, predictive_accuracy: 0.8029, prior_entropy: 0.8733, recall: 0.8029, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -111.7816, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8762, kappa: 0.6992, kb_relative_information_score: 2758.3271, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8757, predictive_accuracy: 0.8773, prior_entropy: 0.8733, recall: 0.8773, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8462, kappa: 0.6255, kb_relative_information_score: 2352.0686, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8454, predictive_accuracy: 0.8479, prior_entropy: 0.8733, recall: 0.8479, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2712, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: -327.4367, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4562, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -413.4728, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0347, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8426, kappa: 0.6141, kb_relative_information_score: 2240.0468, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.842, predictive_accuracy: 0.8457, prior_entropy: 0.8733, recall: 0.8457, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.9557, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.751, kappa: 0.3777, kb_relative_information_score: 1288.1145, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.752, predictive_accuracy: 0.7657, prior_entropy: 0.8733, recall: 0.7657, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: -57.4633, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.3207, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 13.3709, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -48.0057, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7609, kappa: 0.4041, kb_relative_information_score: 1656.3243, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7613, predictive_accuracy: 0.7733, prior_entropy: 0.8733, recall: 0.7733, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -425.4311, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0358, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -94.8276, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -99.192, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 150.8273, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.801, kappa: 0.5152, kb_relative_information_score: 2130.1344, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7996, predictive_accuracy: 0.8033, prior_entropy: 0.8733, recall: 0.8033, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -10.4493, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7778, kappa: 0.4552, kb_relative_information_score: 1653.4457, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7757, predictive_accuracy: 0.7824, prior_entropy: 0.8733, recall: 0.7824, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3458, kappa: -0.0006, kb_relative_information_score: -3365.5232, mean_absolute_error: 0.6244, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5845, predictive_accuracy: 0.3756, prior_entropy: 0.8733, recall: 0.3756, relative_absolute_error: 1.5054, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.7902, root_relative_squared_error: 1.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4519.4659, mean_absolute_error: 0.7065, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.2935, prior_entropy: 0.8733, recall: 0.2935, relative_absolute_error: 1.7035, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.8405, root_relative_squared_error: 1.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8337, kappa: 0.5948, kb_relative_information_score: 2283.6618, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8327, predictive_accuracy: 0.8357, prior_entropy: 0.8733, recall: 0.8357, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7728, kappa: 0.4465, kb_relative_information_score: 2248.2516, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7754, prior_entropy: 0.8733, recall: 0.7754, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3867, f_measure: 0.4914, kappa: -0.2269, kb_relative_information_score: -1735.9691, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4912, predictive_accuracy: 0.4917, prior_entropy: 0.8733, recall: 0.4917, relative_absolute_error: 1.2257, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.713, root_relative_squared_error: 1.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.6543, kappa: 0.16, kb_relative_information_score: 587.5099, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6517, predictive_accuracy: 0.6571, prior_entropy: 0.8733, recall: 0.6571, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.7124, kappa: 0.2753, kb_relative_information_score: 1746.6505, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.718, predictive_accuracy: 0.7396, prior_entropy: 0.8733, recall: 0.7396, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.6264, kappa: 0.0989, kb_relative_information_score: 156.0809, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6263, predictive_accuracy: 0.6264, prior_entropy: 0.8733, recall: 0.6264, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6112, root_relative_squared_error: 1.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8905, kappa: 0.7342, kb_relative_information_score: 3875.2068, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8901, predictive_accuracy: 0.8912, prior_entropy: 0.8733, recall: 0.8912, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.6628, kappa: 0.1855, kb_relative_information_score: 675.8749, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6622, predictive_accuracy: 0.6634, prior_entropy: 0.8733, recall: 0.6634, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5802, root_relative_squared_error: 1.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7815, kappa: 0.4689, kb_relative_information_score: 2362.6063, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7801, predictive_accuracy: 0.7835, prior_entropy: 0.8733, recall: 0.7835, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8912, kappa: 0.7362, kb_relative_information_score: 3883.0037, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8908, predictive_accuracy: 0.8917, prior_entropy: 0.8733, recall: 0.8917, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7882, kappa: 0.4867, kb_relative_information_score: 2445.7733, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7873, predictive_accuracy: 0.7894, prior_entropy: 0.8733, recall: 0.7894, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8691, kappa: 0.6802, kb_relative_information_score: 3591.919, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8687, predictive_accuracy: 0.871, prior_entropy: 0.8733, recall: 0.871, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3084, f_measure: 0.4265, kappa: -0.3834, kb_relative_information_score: -2648.2076, mean_absolute_error: 0.5733, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4263, predictive_accuracy: 0.4267, prior_entropy: 0.8733, recall: 0.4267, relative_absolute_error: 1.3823, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.7572, root_relative_squared_error: 1.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.8043, kappa: 0.5313, kb_relative_information_score: 2638.0971, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8058, predictive_accuracy: 0.8031, prior_entropy: 0.8733, recall: 0.8031, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.796, kappa: 0.5049, kb_relative_information_score: 2557.529, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7949, predictive_accuracy: 0.7974, prior_entropy: 0.8733, recall: 0.7974, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8821, kappa: 0.7144, kb_relative_information_score: 3755.6541, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8817, predictive_accuracy: 0.8827, prior_entropy: 0.8733, recall: 0.8827, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.6406, kappa: 0.1334, kb_relative_information_score: 356.2016, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6406, predictive_accuracy: 0.6406, prior_entropy: 0.8733, recall: 0.6406, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5995, root_relative_squared_error: 1.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.6303, kappa: 0.1055, kb_relative_information_score: 228.8521, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6291, predictive_accuracy: 0.6316, prior_entropy: 0.8733, recall: 0.6316, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.607, root_relative_squared_error: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.6249, kappa: 0.0938, kb_relative_information_score: 145.685, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6242, predictive_accuracy: 0.6256, prior_entropy: 0.8733, recall: 0.6256, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6118, root_relative_squared_error: 1.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8302, kappa: 0.5925, kb_relative_information_score: 3007.1508, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8311, predictive_accuracy: 0.8294, prior_entropy: 0.8733, recall: 0.8294, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.6673, kappa: 0.1968, kb_relative_information_score: 735.6512, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6669, predictive_accuracy: 0.6677, prior_entropy: 0.8733, recall: 0.6677, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5765, root_relative_squared_error: 1.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.6519, kappa: 0.1615, kb_relative_information_score: 509.5408, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6523, predictive_accuracy: 0.6516, prior_entropy: 0.8733, recall: 0.6516, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8114, kappa: 0.5498, kb_relative_information_score: 2731.66, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8137, predictive_accuracy: 0.8098, prior_entropy: 0.8733, recall: 0.8098, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7537, kappa: 0.3944, kb_relative_information_score: 2027.3392, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7508, predictive_accuracy: 0.7596, prior_entropy: 0.8733, recall: 0.7596, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7692, kappa: 0.4365, kb_relative_information_score: 2209.2671, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7671, predictive_accuracy: 0.7726, prior_entropy: 0.8733, recall: 0.7726, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0473,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7728, kappa: 0.4465, kb_relative_information_score: 2248.2516, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7754, prior_entropy: 0.8733, recall: 0.7754, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.773, kappa: 0.4454, kb_relative_information_score: 2263.8455, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7709, predictive_accuracy: 0.7765, prior_entropy: 0.8733, recall: 0.7765, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7739, kappa: 0.4495, kb_relative_information_score: 2261.2465, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7722, predictive_accuracy: 0.7763, prior_entropy: 0.8733, recall: 0.7763, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.7744, kappa: 0.4513, kb_relative_information_score: 2263.8455, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7728, predictive_accuracy: 0.7765, prior_entropy: 0.8733, recall: 0.7765, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7899, kappa: 0.4887, kb_relative_information_score: 2482.1589, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7884, predictive_accuracy: 0.792, prior_entropy: 0.8733, recall: 0.792, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.6534, kappa: 0.1644, kb_relative_information_score: 535.5305, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6535, predictive_accuracy: 0.6534, prior_entropy: 0.8733, recall: 0.6534, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7777, kappa: 0.4594, kb_relative_information_score: 2310.6269, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7798, prior_entropy: 0.8733, recall: 0.7798, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4693, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.6409, kappa: 0.1357, kb_relative_information_score: 351.0036, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6416, predictive_accuracy: 0.6403, prior_entropy: 0.8733, recall: 0.6403, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5998, root_relative_squared_error: 1.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.7785, kappa: 0.4598, kb_relative_information_score: 2331.4187, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7766, predictive_accuracy: 0.7813, prior_entropy: 0.8733, recall: 0.7813, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0271,

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