OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7015, kappa: 0.4006, kb_relative_information_score: -221.2343, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7014, predictive_accuracy: 0.7017, prior_entropy: 0.9976, recall: 0.7017, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7198, kappa: 0.4375, kb_relative_information_score: 24640.0191, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6967, kappa: 0.3911, kb_relative_information_score: -13.9386, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6966, predictive_accuracy: 0.6969, prior_entropy: 0.9976, recall: 0.6969, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7223, kappa: 0.4425, kb_relative_information_score: 25393.2948, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7225, prior_entropy: 0.9976, recall: 0.7225, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.713, kappa: 0.4241, kb_relative_information_score: 27441.2439, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.713, predictive_accuracy: 0.7131, prior_entropy: 0.9976, recall: 0.7131, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.6883, kappa: 0.3751, kb_relative_information_score: 1101.2709, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6887, predictive_accuracy: 0.6882, prior_entropy: 0.9976, recall: 0.6882, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.4203, kappa: 0.0373, kb_relative_information_score: 466.9575, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6014, predictive_accuracy: 0.5438, prior_entropy: 0.9976, recall: 0.5438, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.722, kappa: 0.442, kb_relative_information_score: 27280.4356, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7099, kappa: 0.4175, kb_relative_information_score: 18132.4544, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7108, predictive_accuracy: 0.7109, prior_entropy: 0.9976, recall: 0.7109, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7194, kappa: 0.4367, kb_relative_information_score: 23431.0507, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7193, kappa: 0.4366, kb_relative_information_score: 2575.6871, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7202, kappa: 0.4384, kb_relative_information_score: 26397.8932, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7112, kappa: 0.4201, kb_relative_information_score: 18807.2383, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.712, predictive_accuracy: 0.7121, prior_entropy: 0.9976, recall: 0.7121, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.722, kappa: 0.442, kb_relative_information_score: 26970.3051, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7218, kappa: 0.4415, kb_relative_information_score: 25319.2034, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7217, predictive_accuracy: 0.7219, prior_entropy: 0.9976, recall: 0.7219, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6804, kappa: 0.3603, kb_relative_information_score: 4714.3385, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6818, predictive_accuracy: 0.6802, prior_entropy: 0.9976, recall: 0.6802, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.718, kappa: 0.4339, kb_relative_information_score: 9740.1142, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.7181, prior_entropy: 0.9976, recall: 0.7181, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7218, kappa: 0.4417, kb_relative_information_score: 25923.738, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.7219, prior_entropy: 0.9976, recall: 0.7219, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7127, kappa: 0.4233, kb_relative_information_score: 27661.369, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7126, predictive_accuracy: 0.7128, prior_entropy: 0.9976, recall: 0.7128, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6419, kappa: 0.2812, kb_relative_information_score: 2289.2552, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6418, predictive_accuracy: 0.642, prior_entropy: 0.9976, recall: 0.642, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7001, kappa: 0.3978, kb_relative_information_score: 1805.4543, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7002, predictive_accuracy: 0.7006, prior_entropy: 0.9976, recall: 0.7006, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.6796, kappa: 0.3572, kb_relative_information_score: 19226.8152, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6824, predictive_accuracy: 0.6819, prior_entropy: 0.9976, recall: 0.6819, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6878, kappa: 0.3742, kb_relative_information_score: 3744.2422, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6883, predictive_accuracy: 0.6876, prior_entropy: 0.9976, recall: 0.6876, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.4666, kappa: 0.0679, kb_relative_information_score: 1164.9799, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5908, predictive_accuracy: 0.5555, prior_entropy: 0.9976, recall: 0.5555, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7221, kappa: 0.442, kb_relative_information_score: 8307.9367, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.6921, kappa: 0.3817, kb_relative_information_score: -419.3915, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6921, predictive_accuracy: 0.6925, prior_entropy: 0.9976, recall: 0.6925, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7201, kappa: 0.4381, kb_relative_information_score: 7282.4689, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7212, kappa: 0.4405, kb_relative_information_score: 26708.0287, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.6449, kappa: 0.2872, kb_relative_information_score: 6409.307, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6448, predictive_accuracy: 0.6451, prior_entropy: 0.9976, recall: 0.6451, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7195, kappa: 0.4369, kb_relative_information_score: 24449.99, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7201, kappa: 0.4384, kb_relative_information_score: 26739.8274, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7197, kappa: 0.4375, kb_relative_information_score: 26381.6799, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0948, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6706, kappa: 0.3392, kb_relative_information_score: 10384.3661, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6707, predictive_accuracy: 0.6705, prior_entropy: 0.9976, recall: 0.6705, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 25322.5661, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7144, kappa: 0.4265, kb_relative_information_score: 21537.4876, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7145, predictive_accuracy: 0.7148, prior_entropy: 0.9976, recall: 0.7148, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4017, f_measure: 0.3656, kappa: -0, kb_relative_information_score: -234.4675, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.3972, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7135, kappa: 0.4247, kb_relative_information_score: 20284.3776, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.714, predictive_accuracy: 0.7143, prior_entropy: 0.9976, recall: 0.7143, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7172, kappa: 0.4322, kb_relative_information_score: 23934.3688, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7172, predictive_accuracy: 0.7175, prior_entropy: 0.9976, recall: 0.7175, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7009, kappa: 0.3997, kb_relative_information_score: 4538.0446, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7009, predictive_accuracy: 0.7011, prior_entropy: 0.9976, recall: 0.7011, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0512, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6338, kappa: 0.2648, kb_relative_information_score: 2298.0419, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6337, predictive_accuracy: 0.6339, prior_entropy: 0.9976, recall: 0.6339, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7214, kappa: 0.4409, kb_relative_information_score: 26852.3552, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7195, kappa: 0.4371, kb_relative_information_score: 27404.897, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7149, kappa: 0.4277, kb_relative_information_score: 4779.2708, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7149, predictive_accuracy: 0.7151, prior_entropy: 0.9976, recall: 0.7151, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6753, kappa: 0.35, kb_relative_information_score: 965.9657, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6814, predictive_accuracy: 0.6792, prior_entropy: 0.9976, recall: 0.6792, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7161, kappa: 0.4299, kb_relative_information_score: 21599.2983, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7164, predictive_accuracy: 0.7167, prior_entropy: 0.9976, recall: 0.7167, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7218, kappa: 0.4414, kb_relative_information_score: 25431.2909, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7217, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7115, kappa: 0.4208, kb_relative_information_score: 355.3359, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7116, predictive_accuracy: 0.7119, prior_entropy: 0.9976, recall: 0.7119, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.718, kappa: 0.434, kb_relative_information_score: 27292.1049, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7109, kappa: 0.4196, kb_relative_information_score: 4552.8979, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7108, predictive_accuracy: 0.7111, prior_entropy: 0.9976, recall: 0.7111, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7109, kappa: 0.4194, kb_relative_information_score: 3962.9562, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7109, predictive_accuracy: 0.7112, prior_entropy: 0.9976, recall: 0.7112, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7191, kappa: 0.4364, kb_relative_information_score: 27481.7899, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6416, kappa: 0.2806, kb_relative_information_score: 293.2605, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6415, predictive_accuracy: 0.6417, prior_entropy: 0.9976, recall: 0.6417, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 26362.6174, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6269, kappa: 0.2527, kb_relative_information_score: 10926.8354, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6308, predictive_accuracy: 0.6309, prior_entropy: 0.9976, recall: 0.6309, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7201, kappa: 0.4381, kb_relative_information_score: 24587.6371, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6832, kappa: 0.3646, kb_relative_information_score: 19953.6888, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6864, predictive_accuracy: 0.6856, prior_entropy: 0.9976, recall: 0.6856, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 26612.2244, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.6939, kappa: 0.3856, kb_relative_information_score: 1195.1559, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6938, predictive_accuracy: 0.6941, prior_entropy: 0.9976, recall: 0.6941, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7198, kappa: 0.4374, kb_relative_information_score: 23432.4005, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7189, kappa: 0.4357, kb_relative_information_score: 23846.2725, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26494.8431, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.6738, kappa: 0.3472, kb_relative_information_score: 1061.1093, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6803, predictive_accuracy: 0.6779, prior_entropy: 0.9976, recall: 0.6779, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6556, kappa: 0.3105, kb_relative_information_score: 12658.6159, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6609, predictive_accuracy: 0.6597, prior_entropy: 0.9976, recall: 0.6597, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7113, kappa: 0.4205, kb_relative_information_score: 27413.2238, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7112, predictive_accuracy: 0.7114, prior_entropy: 0.9976, recall: 0.7114, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7195, kappa: 0.4371, kb_relative_information_score: 27124.0127, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7215, kappa: 0.441, kb_relative_information_score: 27059.3996, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7208, kappa: 0.4395, kb_relative_information_score: 6747.8556, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 27545.6068, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6713, kappa: 0.3403, kb_relative_information_score: 159.5442, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6713, predictive_accuracy: 0.6715, prior_entropy: 0.9976, recall: 0.6715, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.71, kappa: 0.4177, kb_relative_information_score: 714.7894, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7099, predictive_accuracy: 0.7101, prior_entropy: 0.9976, recall: 0.7101, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7205, kappa: 0.4392, kb_relative_information_score: 26626.0971, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7095, kappa: 0.4167, kb_relative_information_score: 1494.1564, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7094, predictive_accuracy: 0.7097, prior_entropy: 0.9976, recall: 0.7097, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7098, kappa: 0.4172, kb_relative_information_score: 17652.6835, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7106, predictive_accuracy: 0.7107, prior_entropy: 0.9976, recall: 0.7107, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, f_measure: 0.3843, kappa: 0.0055, kb_relative_information_score: -103.5812, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5331, predictive_accuracy: 0.53, prior_entropy: 0.9976, recall: 0.53, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26543.9599, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 26004.712, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7215, kappa: 0.4409, kb_relative_information_score: 9309.8331, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.6391, kappa: 0.2775, kb_relative_information_score: 12053.9373, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.644, predictive_accuracy: 0.6434, prior_entropy: 0.9976, recall: 0.6434, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 3066.3219, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7095, predictive_accuracy: 0.7095, prior_entropy: 0.9976, recall: 0.7095, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7112, kappa: 0.4201, kb_relative_information_score: 2516.6712, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7112, predictive_accuracy: 0.7115, prior_entropy: 0.9976, recall: 0.7115, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 26004.4142, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.6697, kappa: 0.3372, kb_relative_information_score: 4738.7652, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6717, predictive_accuracy: 0.6717, prior_entropy: 0.9976, recall: 0.6717, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7185, kappa: 0.4351, kb_relative_information_score: 27452.6711, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7117, kappa: 0.4212, kb_relative_information_score: 3464.6488, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7116, predictive_accuracy: 0.7119, prior_entropy: 0.9976, recall: 0.7119, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7101, kappa: 0.4179, kb_relative_information_score: 4754.1878, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7101, predictive_accuracy: 0.7104, prior_entropy: 0.9976, recall: 0.7104, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7178, kappa: 0.4335, kb_relative_information_score: 6898.8633, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7178, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.664, kappa: 0.3253, kb_relative_information_score: 6368.0279, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.664, predictive_accuracy: 0.6645, prior_entropy: 0.9976, recall: 0.6645, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6184, kappa: 0.2353, kb_relative_information_score: 9307.3276, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6216, predictive_accuracy: 0.6221, prior_entropy: 0.9976, recall: 0.6221, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 26549.2353, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7196, kappa: 0.4373, kb_relative_information_score: 26654.368, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, kb_relative_information_score: 8.8199, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.6626, kappa: 0.3261, kb_relative_information_score: 1811.3297, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6714, predictive_accuracy: 0.6681, prior_entropy: 0.9976, recall: 0.6681, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 27570.3063, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7182, kappa: 0.4343, kb_relative_information_score: 9704.7676, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7182, predictive_accuracy: 0.7184, prior_entropy: 0.9976, recall: 0.7184, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7231, kappa: 0.4441, kb_relative_information_score: 7576.4192, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7231, predictive_accuracy: 0.7233, prior_entropy: 0.9976, recall: 0.7233, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7195, kappa: 0.4368, kb_relative_information_score: 24420.5881, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7158, kappa: 0.4295, kb_relative_information_score: 600.3858, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7158, predictive_accuracy: 0.716, prior_entropy: 0.9976, recall: 0.716, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9942,

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

OpenML APIs