Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20301 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20301 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.6755, kappa: 0.5897, kb_relative_information_score: 0.563, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6834, number_of_instances: 736, precision: 0.6824, predictive_accuracy: 0.6834, prior_entropy: 2.2621, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.7391, unweighted_recall: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.4207, kappa: 0.2671, kb_relative_information_score: 0.2502, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3132, weighted_recall: 0.462, number_of_instances: 736, precision: 0.5554, predictive_accuracy: 0.462, prior_entropy: 2.2621, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8903, unweighted_recall: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.6269, kappa: 0.5266, kb_relative_information_score: 0.5248, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6345, number_of_instances: 736, precision: 0.6342, predictive_accuracy: 0.6345, prior_entropy: 2.2621, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.7698, unweighted_recall: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.589, kappa: 0.4759, kb_relative_information_score: 0.4135, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5978, number_of_instances: 736, precision: 0.6242, predictive_accuracy: 0.5978, prior_entropy: 2.2621, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.8281, unweighted_recall: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.5964, kappa: 0.4887, kb_relative_information_score: 0.4944, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.3132, weighted_recall: 0.606, number_of_instances: 736, precision: 0.6016, predictive_accuracy: 0.606, prior_entropy: 2.2621, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.7854, unweighted_recall: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.6157, kappa: 0.5074, kb_relative_information_score: 0.453, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6196, number_of_instances: 736, precision: 0.6497, predictive_accuracy: 0.6196, prior_entropy: 2.2621, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.799, unweighted_recall: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.643, kappa: 0.547, kb_relative_information_score: 0.5454, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6495, number_of_instances: 736, precision: 0.6463, predictive_accuracy: 0.6495, prior_entropy: 2.2621, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.7575, unweighted_recall: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.4037, kappa: 0.2978, kb_relative_information_score: 0.2634, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.3132, weighted_recall: 0.481, number_of_instances: 736, precision: 0.4262, predictive_accuracy: 0.481, prior_entropy: 2.2621, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9174, unweighted_recall: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.6297, kappa: 0.5298, kb_relative_information_score: 0.5322, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6359, number_of_instances: 736, precision: 0.6317, predictive_accuracy: 0.6359, prior_entropy: 2.2621, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.7663, unweighted_recall: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.6553, kappa: 0.5627, kb_relative_information_score: 0.5763, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6617, number_of_instances: 736, precision: 0.6597, predictive_accuracy: 0.6617, prior_entropy: 2.2621, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7334, unweighted_recall: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.6702, kappa: 0.5827, kb_relative_information_score: 0.5599, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3132, weighted_recall: 0.678, number_of_instances: 736, precision: 0.6766, predictive_accuracy: 0.678, prior_entropy: 2.2621, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.293, root_relative_squared_error: 0.7403, unweighted_recall: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.6618, kappa: 0.5721, kb_relative_information_score: 0.5444, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6698, number_of_instances: 736, precision: 0.6693, predictive_accuracy: 0.6698, prior_entropy: 2.2621, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.7508, unweighted_recall: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.6441, kappa: 0.551, kb_relative_information_score: 0.5465, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6535, number_of_instances: 736, precision: 0.6491, predictive_accuracy: 0.6535, prior_entropy: 2.2621, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.7543, unweighted_recall: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.6747, kappa: 0.5872, kb_relative_information_score: 0.5672, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6807, number_of_instances: 736, precision: 0.6807, predictive_accuracy: 0.6807, prior_entropy: 2.2621, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7354, unweighted_recall: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6091, kappa: 0.5025, kb_relative_information_score: 0.4871, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6155, number_of_instances: 736, precision: 0.6146, predictive_accuracy: 0.6155, prior_entropy: 2.2621, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.7907, unweighted_recall: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.6479, kappa: 0.5551, kb_relative_information_score: 0.552, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6563, number_of_instances: 736, precision: 0.6514, predictive_accuracy: 0.6563, prior_entropy: 2.2621, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.7519, unweighted_recall: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.647, kappa: 0.5544, kb_relative_information_score: 0.5391, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6563, number_of_instances: 736, precision: 0.6532, predictive_accuracy: 0.6563, prior_entropy: 2.2621, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.7542, unweighted_recall: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.6546, kappa: 0.5621, kb_relative_information_score: 0.5456, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6617, number_of_instances: 736, precision: 0.6596, predictive_accuracy: 0.6617, prior_entropy: 2.2621, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.7515, unweighted_recall: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.6178, kappa: 0.5159, kb_relative_information_score: 0.5279, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6264, number_of_instances: 736, precision: 0.625, predictive_accuracy: 0.6264, prior_entropy: 2.2621, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.7693, unweighted_recall: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.6365, kappa: 0.5386, kb_relative_information_score: 0.5404, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6427, number_of_instances: 736, precision: 0.6385, predictive_accuracy: 0.6427, prior_entropy: 2.2621, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7611, unweighted_recall: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.6573, kappa: 0.5668, kb_relative_information_score: 0.5364, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6658, number_of_instances: 736, precision: 0.6645, predictive_accuracy: 0.6658, prior_entropy: 2.2621, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.7548, unweighted_recall: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.6698, kappa: 0.5803, kb_relative_information_score: 0.5746, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6753, number_of_instances: 736, precision: 0.6745, predictive_accuracy: 0.6753, prior_entropy: 2.2621, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.73, unweighted_recall: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, kappa: 0.03, kb_relative_information_score: 0.0168, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.3132, weighted_recall: 0.3111, number_of_instances: 736, predictive_accuracy: 0.3111, prior_entropy: 2.2621, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9933, unweighted_recall: 0.2167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.6024, kappa: 0.4993, kb_relative_information_score: 0.4494, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6155, number_of_instances: 736, precision: 0.6241, predictive_accuracy: 0.6155, prior_entropy: 2.2621, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.794, unweighted_recall: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.6505, kappa: 0.5582, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3132, weighted_recall: 0.659, number_of_instances: 736, precision: 0.6541, predictive_accuracy: 0.659, prior_entropy: 2.2621, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.7474, unweighted_recall: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.6566, kappa: 0.5654, kb_relative_information_score: 0.5551, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6644, number_of_instances: 736, precision: 0.6615, predictive_accuracy: 0.6644, prior_entropy: 2.2621, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7481, unweighted_recall: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.6572, kappa: 0.5672, kb_relative_information_score: 0.5543, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6658, number_of_instances: 736, precision: 0.6622, predictive_accuracy: 0.6658, prior_entropy: 2.2621, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.7484, unweighted_recall: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.5923, kappa: 0.4759, kb_relative_information_score: 0.4418, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5938, number_of_instances: 736, precision: 0.6086, predictive_accuracy: 0.5938, prior_entropy: 2.2621, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.8101, unweighted_recall: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.4218, kappa: 0.3021, kb_relative_information_score: 0.2765, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4769, number_of_instances: 736, precision: 0.4564, predictive_accuracy: 0.4769, prior_entropy: 2.2621, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9133, unweighted_recall: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.6747, kappa: 0.5872, kb_relative_information_score: 0.5672, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6807, number_of_instances: 736, precision: 0.6807, predictive_accuracy: 0.6807, prior_entropy: 2.2621, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7354, unweighted_recall: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.664, kappa: 0.5731, kb_relative_information_score: 0.563, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6685, number_of_instances: 736, precision: 0.6635, predictive_accuracy: 0.6685, prior_entropy: 2.2621, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.7603, unweighted_recall: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.5975, kappa: 0.4931, kb_relative_information_score: 0.4749, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6073, number_of_instances: 736, precision: 0.5962, predictive_accuracy: 0.6073, prior_entropy: 2.2621, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.8328, unweighted_recall: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.5983, kappa: 0.4935, kb_relative_information_score: 0.476, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6073, number_of_instances: 736, precision: 0.5967, predictive_accuracy: 0.6073, prior_entropy: 2.2621, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.8326, unweighted_recall: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.6491, kappa: 0.5518, kb_relative_information_score: 0.5824, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6508, number_of_instances: 736, precision: 0.6493, predictive_accuracy: 0.6508, prior_entropy: 2.2621, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.7799, unweighted_recall: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.664, kappa: 0.5731, kb_relative_information_score: 0.563, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6685, number_of_instances: 736, precision: 0.6635, predictive_accuracy: 0.6685, prior_entropy: 2.2621, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.7603, unweighted_recall: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.5448, kappa: 0.4566, kb_relative_information_score: 0.3238, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5938, number_of_instances: 736, precision: 0.6219, predictive_accuracy: 0.5938, prior_entropy: 2.2621, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8465, unweighted_recall: 0.5055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.6229, kappa: 0.5266, kb_relative_information_score: 0.4891, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6359, number_of_instances: 736, precision: 0.6274, predictive_accuracy: 0.6359, prior_entropy: 2.2621, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.7698, unweighted_recall: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.5976, kappa: 0.4935, kb_relative_information_score: 0.471, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5978, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.8199, unweighted_recall: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.5976, kappa: 0.4935, kb_relative_information_score: 0.471, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5978, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.8199, unweighted_recall: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.5987, kappa: 0.4953, kb_relative_information_score: 0.4726, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6101, number_of_instances: 736, precision: 0.5987, predictive_accuracy: 0.6101, prior_entropy: 2.2621, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.8287, unweighted_recall: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.5881, kappa: 0.4792, kb_relative_information_score: 0.4683, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5965, number_of_instances: 736, precision: 0.5864, predictive_accuracy: 0.5965, prior_entropy: 2.2621, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.8254, unweighted_recall: 0.5574,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5838, kappa: 0.4876, kb_relative_information_score: 0.4101, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5919, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8109, unweighted_recall: 0.5449,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs