Task
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19176 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19176 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5945, kappa: 0.1625, kb_relative_information_score: 0.0975, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5932, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.5018, kappa: -0.0228, kb_relative_information_score: -0.0315, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5017, predictive_accuracy: 0.502, prior_entropy: 0.9815, recall: 0.502, relative_absolute_error: 1.02, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7039, root_relative_squared_error: 1.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, kb_relative_information_score: 0.0024, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.4439, kappa: -0.0092, kb_relative_information_score: 0.017, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.57, prior_entropy: 0.9815, recall: 0.57, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.5284, kappa: 0.0259, kb_relative_information_score: 0.0392, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5257, predictive_accuracy: 0.536, prior_entropy: 0.9815, recall: 0.536, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6558, root_relative_squared_error: 1.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.4758, kappa: 0.0342, kb_relative_information_score: 0.0208, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5742, predictive_accuracy: 0.586, prior_entropy: 0.9815, recall: 0.586, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.5417, kappa: 0.0674, kb_relative_information_score: 0.0482, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5525, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.4329, kappa: 0.003, kb_relative_information_score: 0.01, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5468, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5831, kappa: 0.1388, kb_relative_information_score: 0.0878, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5826, predictive_accuracy: 0.592, prior_entropy: 0.9815, recall: 0.592, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.575, kappa: 0.1494, kb_relative_information_score: 0.0552, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.614, predictive_accuracy: 0.618, prior_entropy: 0.9815, recall: 0.618, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.4872, kappa: 0.031, kb_relative_information_score: 0.0244, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5507, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5567, kappa: 0.0848, kb_relative_information_score: 0.0877, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5546, predictive_accuracy: 0.562, prior_entropy: 0.9815, recall: 0.562, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5618, root_relative_squared_error: 1.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5627, kappa: 0.1004, kb_relative_information_score: 0.0936, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5618, predictive_accuracy: 0.564, prior_entropy: 0.9815, recall: 0.564, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6317, root_relative_squared_error: 1.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.4824, kappa: 0.0345, kb_relative_information_score: 0.0212, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5634, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5023, kappa: 0.0717, kb_relative_information_score: 0.0276, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6178, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.4971, kappa: 0.0255, kb_relative_information_score: 0.013, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5361, predictive_accuracy: 0.572, prior_entropy: 0.9815, recall: 0.572, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.5076, kappa: 0.0388, kb_relative_information_score: 0.0271, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5458, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5024, kappa: 0.0322, kb_relative_information_score: 0.0271, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5411, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.4892, kappa: 0.0261, kb_relative_information_score: 0.0259, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5413, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.4873, kappa: 0.0374, kb_relative_information_score: 0.0148, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5625, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.5665, kappa: 0.1395, kb_relative_information_score: 0.0459, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6141, predictive_accuracy: 0.616, prior_entropy: 0.9815, recall: 0.616, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.5698, kappa: 0.1122, kb_relative_information_score: 0.0952, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.568, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.58, root_relative_squared_error: 1.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.529, kappa: 0.0944, kb_relative_information_score: 0.0265, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6065, predictive_accuracy: 0.604, prior_entropy: 0.9815, recall: 0.604, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.5747, kappa: 0.1229, kb_relative_information_score: 0.1079, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.573, predictive_accuracy: 0.578, prior_entropy: 0.9815, recall: 0.578, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5917, root_relative_squared_error: 1.1989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.9198, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.67, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, kb_relative_information_score: 0.4542, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.6614, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.4185, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.2181, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.4406, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, kb_relative_information_score: -2.7111, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, kb_relative_information_score: 1.1843, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.6837, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.496, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, kb_relative_information_score: 0.4067, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, kb_relative_information_score: 5.5527, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, kb_relative_information_score: 8.2003, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.3689, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.5033, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.539, f_measure: 0.5477, kappa: 0.0662, kb_relative_information_score: -5.6567, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5466, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5797, kappa: 0.1325, kb_relative_information_score: 2.6753, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.578, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1824, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.5666, kappa: 0.1474, kb_relative_information_score: 0.2154, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.629, predictive_accuracy: 0.622, prior_entropy: 0.9815, recall: 0.622, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.5817, kappa: 0.1366, kb_relative_information_score: 0.1573, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5829, predictive_accuracy: 0.594, prior_entropy: 0.9815, recall: 0.594, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6372, root_relative_squared_error: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.4869, kappa: 0.0633, kb_relative_information_score: 0.1698, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6501, predictive_accuracy: 0.6, prior_entropy: 0.9815, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5547, kappa: 0.0876, kb_relative_information_score: 0.0743, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5555, predictive_accuracy: 0.554, prior_entropy: 0.9815, recall: 0.554, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6678, root_relative_squared_error: 1.3531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5825, kappa: 0.1376, kb_relative_information_score: 0.1532, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5823, predictive_accuracy: 0.592, prior_entropy: 0.9815, recall: 0.592, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.4348, kappa: 0.011, kb_relative_information_score: 0.1365, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.7578, predictive_accuracy: 0.584, prior_entropy: 0.9815, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5661, kappa: 0.1038, kb_relative_information_score: 0.1199, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.576, prior_entropy: 0.9815, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.6005, kappa: 0.1755, kb_relative_information_score: 0.1947, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6027, predictive_accuracy: 0.612, prior_entropy: 0.9815, recall: 0.612, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5996, kappa: 0.1746, kb_relative_information_score: 0.1988, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6041, predictive_accuracy: 0.614, prior_entropy: 0.9815, recall: 0.614, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5328, kappa: 0.0432, kb_relative_information_score: 0.0286, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5338, predictive_accuracy: 0.532, prior_entropy: 0.9815, recall: 0.532, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6047, kappa: 0.1858, kb_relative_information_score: 0.2113, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6107, predictive_accuracy: 0.62, prior_entropy: 0.9815, recall: 0.62, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.5992, kappa: 0.1732, kb_relative_information_score: 0.1947, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6023, predictive_accuracy: 0.612, prior_entropy: 0.9815, recall: 0.612, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5674, kappa: 0.111, kb_relative_information_score: 0.1033, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5669, predictive_accuracy: 0.568, prior_entropy: 0.9815, recall: 0.568, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3317,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5604, kappa: 0.0932, kb_relative_information_score: 0.095, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5585, predictive_accuracy: 0.564, prior_entropy: 0.9815, recall: 0.564, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.5634, kappa: 0.1027, kb_relative_information_score: 0.095, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5629, predictive_accuracy: 0.564, prior_entropy: 0.9815, recall: 0.564, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3378,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.596, kappa: 0.1858, kb_relative_information_score: 0.2362, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6315, predictive_accuracy: 0.632, prior_entropy: 0.9815, recall: 0.632, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2291,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.6125, kappa: 0.2157, kb_relative_information_score: 0.2611, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6458, predictive_accuracy: 0.644, prior_entropy: 0.9815, recall: 0.644, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.423, kappa: -0.012, kb_relative_information_score: 0.1158, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.3349, predictive_accuracy: 0.574, prior_entropy: 0.9815, recall: 0.574, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1282, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,

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