OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20196 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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20196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.6273, kappa: 0.5254, kb_relative_information_score: 0.5461, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6304, number_of_instances: 736, precision: 0.6261, predictive_accuracy: 0.6304, prior_entropy: 2.2621, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.8026, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.6357, kappa: 0.5325, kb_relative_information_score: 0.57, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6345, number_of_instances: 736, precision: 0.6374, predictive_accuracy: 0.6345, prior_entropy: 2.2621, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8229, unweighted_recall: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.6344, kappa: 0.5361, kb_relative_information_score: 0.521, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6399, number_of_instances: 736, precision: 0.6336, predictive_accuracy: 0.6399, prior_entropy: 2.2621, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.7914, unweighted_recall: 0.6029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.6549, kappa: 0.5584, kb_relative_information_score: 0.5501, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6563, number_of_instances: 736, precision: 0.6568, predictive_accuracy: 0.6563, prior_entropy: 2.2621, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7774, unweighted_recall: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.6448, kappa: 0.5462, kb_relative_information_score: 0.5565, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6454, number_of_instances: 736, precision: 0.6458, predictive_accuracy: 0.6454, prior_entropy: 2.2621, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.7955, unweighted_recall: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.608, kappa: 0.5078, kb_relative_information_score: 0.4611, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6209, number_of_instances: 736, precision: 0.6119, predictive_accuracy: 0.6209, prior_entropy: 2.2621, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8019, unweighted_recall: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.6214, kappa: 0.518, kb_relative_information_score: 0.5326, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6236, number_of_instances: 736, precision: 0.6205, predictive_accuracy: 0.6236, prior_entropy: 2.2621, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8158, unweighted_recall: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.6574, kappa: 0.5618, kb_relative_information_score: 0.5587, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.3132, weighted_recall: 0.659, number_of_instances: 736, precision: 0.6585, predictive_accuracy: 0.659, prior_entropy: 2.2621, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.305, root_relative_squared_error: 0.7707, unweighted_recall: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.5778, kappa: 0.4612, kb_relative_information_score: 0.4638, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5829, number_of_instances: 736, precision: 0.579, predictive_accuracy: 0.5829, prior_entropy: 2.2621, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.8272, unweighted_recall: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.558, kappa: 0.4352, kb_relative_information_score: 0.488, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5611, number_of_instances: 736, precision: 0.5583, predictive_accuracy: 0.5611, prior_entropy: 2.2621, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.8543, unweighted_recall: 0.5301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.5875, kappa: 0.4736, kb_relative_information_score: 0.5374, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5856, number_of_instances: 736, precision: 0.5924, predictive_accuracy: 0.5856, prior_entropy: 2.2621, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9399, unweighted_recall: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.528, kappa: 0.3996, kb_relative_information_score: 0.4324, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5353, number_of_instances: 736, precision: 0.5298, predictive_accuracy: 0.5353, prior_entropy: 2.2621, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.8602, unweighted_recall: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6132, kappa: 0.5059, kb_relative_information_score: 0.5448, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6155, number_of_instances: 736, precision: 0.6174, predictive_accuracy: 0.6155, prior_entropy: 2.2621, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8206, unweighted_recall: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.5367, kappa: 0.408, kb_relative_information_score: 0.4243, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5408, number_of_instances: 736, precision: 0.5448, predictive_accuracy: 0.5408, prior_entropy: 2.2621, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8807, unweighted_recall: 0.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.5337, kappa: 0.4059, kb_relative_information_score: 0.4547, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3132, weighted_recall: 0.538, number_of_instances: 736, precision: 0.5324, predictive_accuracy: 0.538, prior_entropy: 2.2621, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.344, root_relative_squared_error: 0.8692, unweighted_recall: 0.5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.5761, kappa: 0.4571, kb_relative_information_score: 0.488, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5761, number_of_instances: 736, precision: 0.5778, predictive_accuracy: 0.5761, prior_entropy: 2.2621, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.853, unweighted_recall: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6152, kappa: 0.5056, kb_relative_information_score: 0.5499, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6141, number_of_instances: 736, precision: 0.6204, predictive_accuracy: 0.6141, prior_entropy: 2.2621, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.8637, unweighted_recall: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.5955, kappa: 0.4853, kb_relative_information_score: 0.4996, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5992, number_of_instances: 736, precision: 0.5971, predictive_accuracy: 0.5992, prior_entropy: 2.2621, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8138, unweighted_recall: 0.5698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.5874, kappa: 0.472, kb_relative_information_score: 0.5035, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5897, number_of_instances: 736, precision: 0.5909, predictive_accuracy: 0.5897, prior_entropy: 2.2621, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.8448, unweighted_recall: 0.5572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.5779, kappa: 0.4634, kb_relative_information_score: 0.4931, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5856, number_of_instances: 736, precision: 0.5899, predictive_accuracy: 0.5856, prior_entropy: 2.2621, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.8202, unweighted_recall: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.5186, kappa: 0.3939, kb_relative_information_score: 0.4232, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5326, number_of_instances: 736, precision: 0.5161, predictive_accuracy: 0.5326, prior_entropy: 2.2621, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.336, root_relative_squared_error: 0.8491, unweighted_recall: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.5707, kappa: 0.4502, kb_relative_information_score: 0.4838, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5707, number_of_instances: 736, precision: 0.573, predictive_accuracy: 0.5707, prior_entropy: 2.2621, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.8762, unweighted_recall: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.5028, kappa: 0.3743, kb_relative_information_score: 0.3793, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5177, number_of_instances: 736, precision: 0.5018, predictive_accuracy: 0.5177, prior_entropy: 2.2621, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8753, unweighted_recall: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.5812, kappa: 0.47, kb_relative_information_score: 0.4835, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5897, number_of_instances: 736, precision: 0.5802, predictive_accuracy: 0.5897, prior_entropy: 2.2621, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8632, unweighted_recall: 0.5453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.6003, kappa: 0.4881, kb_relative_information_score: 0.53, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5992, number_of_instances: 736, precision: 0.6026, predictive_accuracy: 0.5992, prior_entropy: 2.2621, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.8325, unweighted_recall: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.6059, kappa: 0.495, kb_relative_information_score: 0.5464, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6046, number_of_instances: 736, precision: 0.6083, predictive_accuracy: 0.6046, prior_entropy: 2.2621, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.8573, unweighted_recall: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.5965, kappa: 0.4856, kb_relative_information_score: 0.4819, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6005, number_of_instances: 736, precision: 0.5977, predictive_accuracy: 0.6005, prior_entropy: 2.2621, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8206, unweighted_recall: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.5667, kappa: 0.4468, kb_relative_information_score: 0.4867, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5693, number_of_instances: 736, precision: 0.5659, predictive_accuracy: 0.5693, prior_entropy: 2.2621, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.837, unweighted_recall: 0.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.6026, kappa: 0.4926, kb_relative_information_score: 0.5344, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6033, number_of_instances: 736, precision: 0.6027, predictive_accuracy: 0.6033, prior_entropy: 2.2621, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.8878, unweighted_recall: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.5255, kappa: 0.3975, kb_relative_information_score: 0.4301, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5353, number_of_instances: 736, precision: 0.5279, predictive_accuracy: 0.5353, prior_entropy: 2.2621, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.8523, unweighted_recall: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.5158, kappa: 0.3832, kb_relative_information_score: 0.4282, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5204, number_of_instances: 736, precision: 0.5145, predictive_accuracy: 0.5204, prior_entropy: 2.2621, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.8736, unweighted_recall: 0.4799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.4509, kappa: 0.3071, kb_relative_information_score: 0.2984, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4701, number_of_instances: 736, precision: 0.4799, predictive_accuracy: 0.4701, prior_entropy: 2.2621, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9051, unweighted_recall: 0.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.5212, kappa: 0.3956, kb_relative_information_score: 0.455, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5326, number_of_instances: 736, precision: 0.5207, predictive_accuracy: 0.5326, prior_entropy: 2.2621, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8718, unweighted_recall: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.5561, kappa: 0.4335, kb_relative_information_score: 0.5032, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5557, number_of_instances: 736, precision: 0.5588, predictive_accuracy: 0.5557, prior_entropy: 2.2621, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9382, unweighted_recall: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.6003, kappa: 0.4882, kb_relative_information_score: 0.5368, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5992, number_of_instances: 736, precision: 0.6019, predictive_accuracy: 0.5992, prior_entropy: 2.2621, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8773, unweighted_recall: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.6049, kappa: 0.4931, kb_relative_information_score: 0.5343, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6046, number_of_instances: 736, precision: 0.6109, predictive_accuracy: 0.6046, prior_entropy: 2.2621, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8054, unweighted_recall: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.5348, kappa: 0.41, kb_relative_information_score: 0.4664, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5435, number_of_instances: 736, precision: 0.5342, predictive_accuracy: 0.5435, prior_entropy: 2.2621, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.8635, unweighted_recall: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.6051, kappa: 0.4925, kb_relative_information_score: 0.5292, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6033, number_of_instances: 736, precision: 0.6103, predictive_accuracy: 0.6033, prior_entropy: 2.2621, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8274, unweighted_recall: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.6083, kappa: 0.5, kb_relative_information_score: 0.5217, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6101, number_of_instances: 736, precision: 0.6086, predictive_accuracy: 0.6101, prior_entropy: 2.2621, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.327, root_relative_squared_error: 0.8263, unweighted_recall: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.6068, kappa: 0.4982, kb_relative_information_score: 0.531, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6101, number_of_instances: 736, precision: 0.6071, predictive_accuracy: 0.6101, prior_entropy: 2.2621, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.818, unweighted_recall: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5782, kappa: 0.4618, kb_relative_information_score: 0.4909, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5802, number_of_instances: 736, precision: 0.5823, predictive_accuracy: 0.5802, prior_entropy: 2.2621, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8172, unweighted_recall: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.5668, kappa: 0.4435, kb_relative_information_score: 0.4603, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5679, number_of_instances: 736, precision: 0.573, predictive_accuracy: 0.5679, prior_entropy: 2.2621, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.829, unweighted_recall: 0.537,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.5672, kappa: 0.4475, kb_relative_information_score: 0.4842, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5693, number_of_instances: 736, precision: 0.568, predictive_accuracy: 0.5693, prior_entropy: 2.2621, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.8477, unweighted_recall: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.5637, kappa: 0.4453, kb_relative_information_score: 0.4746, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5652, number_of_instances: 736, precision: 0.5646, predictive_accuracy: 0.5652, prior_entropy: 2.2621, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8754, unweighted_recall: 0.5426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.5736, kappa: 0.4611, kb_relative_information_score: 0.4498, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5842, number_of_instances: 736, precision: 0.5782, predictive_accuracy: 0.5842, prior_entropy: 2.2621, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8406, unweighted_recall: 0.539,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.6015, kappa: 0.492, kb_relative_information_score: 0.5198, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, weighted_recall: 0.6046, number_of_instances: 736, precision: 0.6022, predictive_accuracy: 0.6046, prior_entropy: 2.2621, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.8321, unweighted_recall: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.5144, kappa: 0.38, kb_relative_information_score: 0.421, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5217, number_of_instances: 736, precision: 0.519, predictive_accuracy: 0.5217, prior_entropy: 2.2621, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.8682, unweighted_recall: 0.4795,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.5836, kappa: 0.4673, kb_relative_information_score: 0.5033, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5856, number_of_instances: 736, precision: 0.5849, predictive_accuracy: 0.5856, prior_entropy: 2.2621, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.8862, unweighted_recall: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5607, kappa: 0.4432, kb_relative_information_score: 0.4973, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5666, number_of_instances: 736, precision: 0.5614, predictive_accuracy: 0.5666, prior_entropy: 2.2621, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.942, unweighted_recall: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.5305, kappa: 0.4029, kb_relative_information_score: 0.454, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5367, number_of_instances: 736, precision: 0.5287, predictive_accuracy: 0.5367, prior_entropy: 2.2621, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9236, unweighted_recall: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.4516, kappa: 0.3079, kb_relative_information_score: 0.3536, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4674, number_of_instances: 736, precision: 0.4463, predictive_accuracy: 0.4674, prior_entropy: 2.2621, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8931, unweighted_recall: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.2488, kb_relative_information_score: 0.2595, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3132, weighted_recall: 0.4457, number_of_instances: 736, predictive_accuracy: 0.4457, prior_entropy: 2.2621, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9304, unweighted_recall: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0007, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, weighted_recall: 0.2908, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, unweighted_recall: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0007, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, weighted_recall: 0.2908, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, unweighted_recall: 0.2,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.none not found among predictions.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0007, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, weighted_recall: 0.2908, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, unweighted_recall: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0007, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, weighted_recall: 0.2908, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, unweighted_recall: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0007, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, weighted_recall: 0.2908, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, unweighted_recall: 0.2,
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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs