Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20188 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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20188 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.5989, kappa: 0.4894, kb_relative_information_score: 0.4801, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6033, number_of_instances: 736, precision: 0.598, predictive_accuracy: 0.6033, prior_entropy: 2.2621, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8266, unweighted_recall: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.5504, kappa: 0.4366, kb_relative_information_score: 0.3906, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5693, number_of_instances: 736, precision: 0.5681, predictive_accuracy: 0.5693, prior_entropy: 2.2621, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.8447, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.5743, kappa: 0.4623, kb_relative_information_score: 0.4577, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5829, number_of_instances: 736, precision: 0.5709, predictive_accuracy: 0.5829, prior_entropy: 2.2621, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.8257, unweighted_recall: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.6416, kappa: 0.5419, kb_relative_information_score: 0.5717, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6427, number_of_instances: 736, precision: 0.6414, predictive_accuracy: 0.6427, prior_entropy: 2.2621, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.8449, unweighted_recall: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.6153, kappa: 0.51, kb_relative_information_score: 0.5428, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6182, number_of_instances: 736, precision: 0.6135, predictive_accuracy: 0.6182, prior_entropy: 2.2621, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.7849, unweighted_recall: 0.5866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.6137, kappa: 0.5108, kb_relative_information_score: 0.5364, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6196, number_of_instances: 736, precision: 0.6107, predictive_accuracy: 0.6196, prior_entropy: 2.2621, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7963, unweighted_recall: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.5375, kappa: 0.4253, kb_relative_information_score: 0.3874, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5598, number_of_instances: 736, precision: 0.5464, predictive_accuracy: 0.5598, prior_entropy: 2.2621, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.8417, unweighted_recall: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.595, kappa: 0.4893, kb_relative_information_score: 0.4555, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3132, weighted_recall: 0.606, number_of_instances: 736, precision: 0.5964, predictive_accuracy: 0.606, prior_entropy: 2.2621, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8116, unweighted_recall: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.6593, kappa: 0.5635, kb_relative_information_score: 0.5529, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.6607, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.7665, unweighted_recall: 0.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.6061, kappa: 0.5, kb_relative_information_score: 0.5042, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6114, number_of_instances: 736, precision: 0.6043, predictive_accuracy: 0.6114, prior_entropy: 2.2621, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.804, unweighted_recall: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.5655, kappa: 0.4529, kb_relative_information_score: 0.4431, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5774, number_of_instances: 736, precision: 0.5663, predictive_accuracy: 0.5774, prior_entropy: 2.2621, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.8258, unweighted_recall: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.6434, kappa: 0.5442, kb_relative_information_score: 0.5327, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6454, number_of_instances: 736, precision: 0.6443, predictive_accuracy: 0.6454, prior_entropy: 2.2621, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.7811, unweighted_recall: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.5655, kappa: 0.4483, kb_relative_information_score: 0.4308, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5747, number_of_instances: 736, precision: 0.5719, predictive_accuracy: 0.5747, prior_entropy: 2.2621, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8332, unweighted_recall: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.5969, kappa: 0.4884, kb_relative_information_score: 0.5126, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6019, number_of_instances: 736, precision: 0.594, predictive_accuracy: 0.6019, prior_entropy: 2.2621, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8036, unweighted_recall: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.6067, kappa: 0.5021, kb_relative_information_score: 0.5092, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6141, number_of_instances: 736, precision: 0.6046, predictive_accuracy: 0.6141, prior_entropy: 2.2621, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.316, root_relative_squared_error: 0.7987, unweighted_recall: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6428, kappa: 0.5475, kb_relative_information_score: 0.5352, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6481, number_of_instances: 736, precision: 0.6404, predictive_accuracy: 0.6481, prior_entropy: 2.2621, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7779, unweighted_recall: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.6237, kappa: 0.52, kb_relative_information_score: 0.5308, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6264, number_of_instances: 736, precision: 0.623, predictive_accuracy: 0.6264, prior_entropy: 2.2621, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.7832, unweighted_recall: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.6479, kappa: 0.5489, kb_relative_information_score: 0.5758, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6481, number_of_instances: 736, precision: 0.6495, predictive_accuracy: 0.6481, prior_entropy: 2.2621, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8374, unweighted_recall: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.6395, kappa: 0.5399, kb_relative_information_score: 0.544, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6413, number_of_instances: 736, precision: 0.6389, predictive_accuracy: 0.6413, prior_entropy: 2.2621, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.7847, unweighted_recall: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.5994, kappa: 0.4954, kb_relative_information_score: 0.4739, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6114, number_of_instances: 736, precision: 0.6018, predictive_accuracy: 0.6114, prior_entropy: 2.2621, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8046, unweighted_recall: 0.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.6003, kappa: 0.4945, kb_relative_information_score: 0.4701, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.5999, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8004, unweighted_recall: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.6152, kappa: 0.519, kb_relative_information_score: 0.5085, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6291, number_of_instances: 736, precision: 0.6139, predictive_accuracy: 0.6291, prior_entropy: 2.2621, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.7802, unweighted_recall: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.6155, kappa: 0.5106, kb_relative_information_score: 0.5244, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6196, number_of_instances: 736, precision: 0.6144, predictive_accuracy: 0.6196, prior_entropy: 2.2621, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8046, unweighted_recall: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6027, kappa: 0.4949, kb_relative_information_score: 0.48, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6087, number_of_instances: 736, precision: 0.6034, predictive_accuracy: 0.6087, prior_entropy: 2.2621, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.806, unweighted_recall: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.5686, kappa: 0.4527, kb_relative_information_score: 0.4337, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5761, number_of_instances: 736, precision: 0.5682, predictive_accuracy: 0.5761, prior_entropy: 2.2621, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8375, unweighted_recall: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.6095, kappa: 0.5061, kb_relative_information_score: 0.4678, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6182, number_of_instances: 736, precision: 0.61, predictive_accuracy: 0.6182, prior_entropy: 2.2621, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8078, unweighted_recall: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.5735, kappa: 0.4592, kb_relative_information_score: 0.4696, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5802, number_of_instances: 736, precision: 0.571, predictive_accuracy: 0.5802, prior_entropy: 2.2621, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8274, unweighted_recall: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.5712, kappa: 0.4601, kb_relative_information_score: 0.4374, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5842, number_of_instances: 736, precision: 0.5751, predictive_accuracy: 0.5842, prior_entropy: 2.2621, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.821, unweighted_recall: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.6181, kappa: 0.5137, kb_relative_information_score: 0.5358, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6209, number_of_instances: 736, precision: 0.617, predictive_accuracy: 0.6209, prior_entropy: 2.2621, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8092, unweighted_recall: 0.5932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.4323, kappa: 0.279, kb_relative_information_score: 0.2796, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4457, number_of_instances: 736, precision: 0.4355, predictive_accuracy: 0.4457, prior_entropy: 2.2621, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9186, unweighted_recall: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.6215, kappa: 0.5177, kb_relative_information_score: 0.5294, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3132, weighted_recall: 0.625, number_of_instances: 736, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 2.2621, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.7858, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.5953, kappa: 0.4851, kb_relative_information_score: 0.501, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5992, number_of_instances: 736, precision: 0.5935, predictive_accuracy: 0.5992, prior_entropy: 2.2621, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8119, unweighted_recall: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.6594, kappa: 0.5649, kb_relative_information_score: 0.5819, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.6598, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8128, unweighted_recall: 0.6313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.6075, kappa: 0.4995, kb_relative_information_score: 0.5109, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6101, number_of_instances: 736, precision: 0.6064, predictive_accuracy: 0.6101, prior_entropy: 2.2621, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8017, unweighted_recall: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.5929, kappa: 0.4822, kb_relative_information_score: 0.5188, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5965, number_of_instances: 736, precision: 0.5905, predictive_accuracy: 0.5965, prior_entropy: 2.2621, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.8335, unweighted_recall: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.6105, kappa: 0.5065, kb_relative_information_score: 0.4936, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6168, number_of_instances: 736, precision: 0.6088, predictive_accuracy: 0.6168, prior_entropy: 2.2621, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7973, unweighted_recall: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.6606, kappa: 0.5651, kb_relative_information_score: 0.5568, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6603, number_of_instances: 736, precision: 0.662, predictive_accuracy: 0.6603, prior_entropy: 2.2621, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.309, root_relative_squared_error: 0.7808, unweighted_recall: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.587, kappa: 0.4762, kb_relative_information_score: 0.4796, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5924, number_of_instances: 736, precision: 0.5841, predictive_accuracy: 0.5924, prior_entropy: 2.2621, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8229, unweighted_recall: 0.5623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6254, kappa: 0.5247, kb_relative_information_score: 0.505, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6304, number_of_instances: 736, precision: 0.6233, predictive_accuracy: 0.6304, prior_entropy: 2.2621, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.8039, unweighted_recall: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.6161, kappa: 0.5115, kb_relative_information_score: 0.539, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6196, number_of_instances: 736, precision: 0.615, predictive_accuracy: 0.6196, prior_entropy: 2.2621, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8037, unweighted_recall: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.498, kappa: 0.3673, kb_relative_information_score: 0.3516, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5122, number_of_instances: 736, precision: 0.4961, predictive_accuracy: 0.5122, prior_entropy: 2.2621, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8829, unweighted_recall: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.4753, kappa: 0.3384, kb_relative_information_score: 0.3076, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4905, number_of_instances: 736, precision: 0.4848, predictive_accuracy: 0.4905, prior_entropy: 2.2621, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9069, unweighted_recall: 0.4471,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.5434, kappa: 0.4232, kb_relative_information_score: 0.433, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3132, weighted_recall: 0.553, number_of_instances: 736, precision: 0.5408, predictive_accuracy: 0.553, prior_entropy: 2.2621, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.334, root_relative_squared_error: 0.8442, unweighted_recall: 0.5114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.5728, kappa: 0.4627, kb_relative_information_score: 0.4424, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5856, number_of_instances: 736, precision: 0.5734, predictive_accuracy: 0.5856, prior_entropy: 2.2621, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8118, unweighted_recall: 0.5387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.6049, kappa: 0.4949, kb_relative_information_score: 0.5085, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6073, number_of_instances: 736, precision: 0.6058, predictive_accuracy: 0.6073, prior_entropy: 2.2621, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.8256, unweighted_recall: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.5866, kappa: 0.4732, kb_relative_information_score: 0.4904, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5897, number_of_instances: 736, precision: 0.586, predictive_accuracy: 0.5897, prior_entropy: 2.2621, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.823, unweighted_recall: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.6066, kappa: 0.5002, kb_relative_information_score: 0.5073, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6114, number_of_instances: 736, precision: 0.6057, predictive_accuracy: 0.6114, prior_entropy: 2.2621, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.7958, unweighted_recall: 0.5781,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.5861, kappa: 0.4762, kb_relative_information_score: 0.4879, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5938, number_of_instances: 736, precision: 0.5846, predictive_accuracy: 0.5938, prior_entropy: 2.2621, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8143, unweighted_recall: 0.5549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6514, kappa: 0.5535, kb_relative_information_score: 0.5489, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6522, number_of_instances: 736, precision: 0.6528, predictive_accuracy: 0.6522, prior_entropy: 2.2621, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.7914, unweighted_recall: 0.6222,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.6332, kappa: 0.5322, kb_relative_information_score: 0.5624, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6345, number_of_instances: 736, precision: 0.6321, predictive_accuracy: 0.6345, prior_entropy: 2.2621, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.314, root_relative_squared_error: 0.7936, unweighted_recall: 0.61,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6142, kappa: 0.508, kb_relative_information_score: 0.5349, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6168, number_of_instances: 736, precision: 0.6138, predictive_accuracy: 0.6168, prior_entropy: 2.2621, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8091, unweighted_recall: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.6458, kappa: 0.5467, kb_relative_information_score: 0.5462, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6481, number_of_instances: 736, precision: 0.6491, predictive_accuracy: 0.6481, prior_entropy: 2.2621, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.7687, unweighted_recall: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.6108, kappa: 0.5068, kb_relative_information_score: 0.4832, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6182, number_of_instances: 736, precision: 0.6103, predictive_accuracy: 0.6182, prior_entropy: 2.2621, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8105, unweighted_recall: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.554, kappa: 0.4396, kb_relative_information_score: 0.3846, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5693, number_of_instances: 736, precision: 0.5637, predictive_accuracy: 0.5693, prior_entropy: 2.2621, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.838, unweighted_recall: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.6274, kappa: 0.5302, kb_relative_information_score: 0.4962, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6359, number_of_instances: 736, precision: 0.6255, predictive_accuracy: 0.6359, prior_entropy: 2.2621, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.7868, unweighted_recall: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.6378, kappa: 0.5364, kb_relative_information_score: 0.5061, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6386, number_of_instances: 736, precision: 0.6398, predictive_accuracy: 0.6386, prior_entropy: 2.2621, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.794, unweighted_recall: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.637, kappa: 0.5361, kb_relative_information_score: 0.5463, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6372, number_of_instances: 736, precision: 0.6387, predictive_accuracy: 0.6372, prior_entropy: 2.2621, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8075, unweighted_recall: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.6502, kappa: 0.5514, kb_relative_information_score: 0.588, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6508, number_of_instances: 736, precision: 0.6526, predictive_accuracy: 0.6508, prior_entropy: 2.2621, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.7977, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.6271, kappa: 0.5307, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6372, number_of_instances: 736, precision: 0.6261, predictive_accuracy: 0.6372, prior_entropy: 2.2621, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.7842, unweighted_recall: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.5211, kappa: 0.3927, kb_relative_information_score: 0.403, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5313, number_of_instances: 736, precision: 0.5234, predictive_accuracy: 0.5313, prior_entropy: 2.2621, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.8532, unweighted_recall: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.4099, kappa: 0.2526, kb_relative_information_score: 0.2398, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4266, number_of_instances: 736, precision: 0.4161, predictive_accuracy: 0.4266, prior_entropy: 2.2621, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9402, unweighted_recall: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.476, kappa: 0.3401, kb_relative_information_score: 0.3359, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4932, number_of_instances: 736, precision: 0.4812, predictive_accuracy: 0.4932, prior_entropy: 2.2621, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8888, unweighted_recall: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.6592, kappa: 0.5659, kb_relative_information_score: 0.5617, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.3132, weighted_recall: 0.663, number_of_instances: 736, precision: 0.6603, predictive_accuracy: 0.663, prior_entropy: 2.2621, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.7786, unweighted_recall: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6004, kappa: 0.4913, kb_relative_information_score: 0.5143, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6033, number_of_instances: 736, precision: 0.5984, predictive_accuracy: 0.6033, prior_entropy: 2.2621, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.8102, unweighted_recall: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.6714, kappa: 0.5797, kb_relative_information_score: 0.5632, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6739, number_of_instances: 736, precision: 0.675, predictive_accuracy: 0.6739, prior_entropy: 2.2621, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.7476, unweighted_recall: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.6537, kappa: 0.5571, kb_relative_information_score: 0.5657, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6549, number_of_instances: 736, precision: 0.6547, predictive_accuracy: 0.6549, prior_entropy: 2.2621, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.78, unweighted_recall: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.6654, kappa: 0.5727, kb_relative_information_score: 0.5779, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6671, number_of_instances: 736, precision: 0.6654, predictive_accuracy: 0.6671, prior_entropy: 2.2621, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.757, unweighted_recall: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.5862, kappa: 0.4743, kb_relative_information_score: 0.5231, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.3132, weighted_recall: 0.591, number_of_instances: 736, precision: 0.584, predictive_accuracy: 0.591, prior_entropy: 2.2621, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8382, unweighted_recall: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.5176, kappa: 0.3945, kb_relative_information_score: 0.3795, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3132, weighted_recall: 0.534, number_of_instances: 736, precision: 0.5278, predictive_accuracy: 0.534, prior_entropy: 2.2621, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.8662, unweighted_recall: 0.4828,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs