Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 139882 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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139882 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -29.2247, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 27.709, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 63.0362, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -8.2134, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 221.0271, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -9.6551, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 48.7017, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7983, kappa: 0.5494, kb_relative_information_score: 422.9109, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7985, predictive_accuracy: 0.7981, prior_entropy: 0.9226, recall: 0.7981, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8525, kappa: 0.6658, kb_relative_information_score: 515.6909, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8532, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7781, kappa: 0.5016, kb_relative_information_score: 332.2554, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7773, predictive_accuracy: 0.7791, prior_entropy: 0.9226, recall: 0.7791, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7903, kappa: 0.5284, kb_relative_information_score: 416.5558, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7894, predictive_accuracy: 0.7915, prior_entropy: 0.9226, recall: 0.7915, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 23.6326, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4938, kappa: -0.0015, kb_relative_information_score: -226.2301, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5521, predictive_accuracy: 0.4815, prior_entropy: 0.9226, recall: 0.4815, relative_absolute_error: 1.1593, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.7201, root_relative_squared_error: 1.5228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8292, kappa: 0.6142, kb_relative_information_score: 550.7785, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8288, predictive_accuracy: 0.8313, prior_entropy: 0.9226, recall: 0.8313, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7294, kappa: 0.3798, kb_relative_information_score: 293.0222, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7324, predictive_accuracy: 0.7422, prior_entropy: 0.9226, recall: 0.7422, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, kb_relative_information_score: 69.3133, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 6.7458, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8057, kappa: 0.5633, kb_relative_information_score: 494.1524, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.805, predictive_accuracy: 0.8066, prior_entropy: 0.9226, recall: 0.8066, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -3.153, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 11.7869, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -10.0007, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7221, kappa: 0.4043, kb_relative_information_score: 198.6766, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7407, predictive_accuracy: 0.7156, prior_entropy: 0.9226, recall: 0.7156, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 22.2773, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 10.8988, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 38.5263, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -55.6796, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -16.2248, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8027, kappa: 0.5534, kb_relative_information_score: 506.9712, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8021, predictive_accuracy: 0.8057, prior_entropy: 0.9226, recall: 0.8057, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7344, kappa: 0.4202, kb_relative_information_score: 348.2138, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7437, predictive_accuracy: 0.7299, prior_entropy: 0.9226, recall: 0.7299, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.479, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 8.9529, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -3.609, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 7.9743, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -54.417, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -10.9006, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8413, kappa: 0.6411, kb_relative_information_score: 548.2058, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8414, predictive_accuracy: 0.8436, prior_entropy: 0.9226, recall: 0.8436, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -4.3337, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.78, kappa: 0.5026, kb_relative_information_score: 377.3437, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7789, predictive_accuracy: 0.7829, prior_entropy: 0.9226, recall: 0.7829, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7588, kappa: 0.4548, kb_relative_information_score: 261.5964, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7574, predictive_accuracy: 0.7621, prior_entropy: 0.9226, recall: 0.7621, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8518, kappa: 0.6679, kb_relative_information_score: 556.445, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8516, predictive_accuracy: 0.8521, prior_entropy: 0.9226, recall: 0.8521, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.755, kappa: 0.4556, kb_relative_information_score: 359.2518, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7569, predictive_accuracy: 0.7536, prior_entropy: 0.9226, recall: 0.7536, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.833, kappa: 0.6202, kb_relative_information_score: 545.3981, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8348, predictive_accuracy: 0.837, prior_entropy: 0.9226, recall: 0.837, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8408, kappa: 0.6407, kb_relative_information_score: 503.6246, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8405, predictive_accuracy: 0.8427, prior_entropy: 0.9226, recall: 0.8427, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 3.0894, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 7.3558, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 69.7372, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 53.8115, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8312, kappa: 0.6203, kb_relative_information_score: 512.4045, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8306, predictive_accuracy: 0.8322, prior_entropy: 0.9226, recall: 0.8322, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 4.4829, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -13.3472, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 90.3012, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 12.025, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.81, kappa: 0.5743, kb_relative_information_score: 474.1692, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8097, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 21.4297, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -9.4317, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 5.4617, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7429, kappa: 0.4101, kb_relative_information_score: 197.4598, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7489, predictive_accuracy: 0.7564, prior_entropy: 0.9226, recall: 0.7564, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -60.9102, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0295, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -8.9663, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -106.1597, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0549, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4803, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 6.424, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, kb_relative_information_score: 86.6226, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -5.9475, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.5816, kappa: 0.0754, kb_relative_information_score: 87.1741, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6472, predictive_accuracy: 0.672, prior_entropy: 0.9226, recall: 0.672, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.874, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8393, kappa: 0.6362, kb_relative_information_score: 493.0517, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8394, predictive_accuracy: 0.8417, prior_entropy: 0.9226, recall: 0.8417, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.7193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -1.3907, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8008, kappa: 0.5491, kb_relative_information_score: 432.5159, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8002, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 60.4407, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, kb_relative_information_score: 11.3279, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 77.4147, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -0.9485, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7531, kappa: 0.4404, kb_relative_information_score: 367.8872, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7516, predictive_accuracy: 0.7573, prior_entropy: 0.9226, recall: 0.7573, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.7701, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8523, kappa: 0.668, kb_relative_information_score: 603.1517, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8519, predictive_accuracy: 0.8531, prior_entropy: 0.9226, recall: 0.8531, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -54.4389, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -13.4928, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6966, kappa: 0.3399, kb_relative_information_score: 265.1524, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7078, predictive_accuracy: 0.691, prior_entropy: 0.9226, recall: 0.691, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 22.9536, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7168, kappa: 0.3828, kb_relative_information_score: 326.0332, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.727, predictive_accuracy: 0.7118, prior_entropy: 0.9226, recall: 0.7118, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.559, kappa: 0.0029, kb_relative_information_score: 143.7523, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5551, predictive_accuracy: 0.6313, prior_entropy: 0.9226, recall: 0.6313, relative_absolute_error: 0.8244, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 2.392, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.825, kappa: 0.6058, kb_relative_information_score: 462.175, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8244, predictive_accuracy: 0.8265, prior_entropy: 0.9226, recall: 0.8265, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.9164, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.796, kappa: 0.5385, kb_relative_information_score: 454.4529, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7953, predictive_accuracy: 0.7991, prior_entropy: 0.9226, recall: 0.7991, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -138.785, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0727, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 88.9038, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 0.8362, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.4119, kappa: 0.0157, kb_relative_information_score: -351.5092, mean_absolute_error: 0.5692, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5666, predictive_accuracy: 0.4303, prior_entropy: 0.9226, recall: 0.4303, relative_absolute_error: 1.2726, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.7474, root_relative_squared_error: 1.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -39.6357, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0188, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -12.7718, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8093, kappa: 0.5753, kb_relative_information_score: 531.7644, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8103, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8033, kappa: 0.5591, kb_relative_information_score: 438.7275, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8029, predictive_accuracy: 0.8038, prior_entropy: 0.9226, recall: 0.8038, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8402, kappa: 0.6398, kb_relative_information_score: 499.8241, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8398, predictive_accuracy: 0.8417, prior_entropy: 0.9226, recall: 0.8417, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.339, root_relative_squared_error: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -24.7048, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8184, kappa: 0.5926, kb_relative_information_score: 571.8721, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8179, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 23.4628, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 1.1965, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -25.6862, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 78.0512, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7173, kappa: 0.3502, kb_relative_information_score: 175.3121, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7335, predictive_accuracy: 0.7403, prior_entropy: 0.9226, recall: 0.7403, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8862,

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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