Task
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19100 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19100 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.6013, kappa: 0.1873, kb_relative_information_score: 0.0727, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4873, weighted_recall: 0.628, number_of_instances: 500, precision: 0.6217, predictive_accuracy: 0.628, prior_entropy: 0.9815, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9687, unweighted_recall: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5251, kappa: 0.0687, kb_relative_information_score: 0.0299, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4873, weighted_recall: 0.588, number_of_instances: 500, precision: 0.5687, predictive_accuracy: 0.588, prior_entropy: 0.9815, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9886, unweighted_recall: 0.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.4544, kappa: -0.0071, kb_relative_information_score: 0.0118, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.4873, weighted_recall: 0.568, number_of_instances: 500, precision: 0.5005, predictive_accuracy: 0.568, prior_entropy: 0.9815, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0018, unweighted_recall: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5201, kappa: 0.0622, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4873, weighted_recall: 0.586, number_of_instances: 500, precision: 0.565, predictive_accuracy: 0.586, prior_entropy: 0.9815, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9993, unweighted_recall: 0.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.4499, kappa: -0.0062, kb_relative_information_score: 0.0103, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4873, weighted_recall: 0.57, number_of_instances: 500, precision: 0.4999, predictive_accuracy: 0.57, prior_entropy: 0.9815, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.002, unweighted_recall: 0.4973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.4918, kappa: 0.0339, kb_relative_information_score: 0.014, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, precision: 0.5511, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9988, unweighted_recall: 0.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5395, kappa: 0.0832, kb_relative_information_score: 0.0343, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5718, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9887, unweighted_recall: 0.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6092, kappa: 0.208, kb_relative_information_score: 0.0709, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4873, weighted_recall: 0.64, number_of_instances: 500, precision: 0.6397, predictive_accuracy: 0.64, prior_entropy: 0.9815, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9667, unweighted_recall: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.6143, kappa: 0.2119, kb_relative_information_score: 0.0786, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4873, weighted_recall: 0.638, number_of_instances: 500, precision: 0.6334, predictive_accuracy: 0.638, prior_entropy: 0.9815, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.964, unweighted_recall: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.4918, kappa: 0.0339, kb_relative_information_score: 0.014, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, precision: 0.5511, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9988, unweighted_recall: 0.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.4953, kappa: 0.0392, kb_relative_information_score: 0.0141, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4873, weighted_recall: 0.582, number_of_instances: 500, precision: 0.5563, predictive_accuracy: 0.582, prior_entropy: 0.9815, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997, unweighted_recall: 0.5175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.5813, kappa: 0.1555, kb_relative_information_score: 0.0637, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4873, weighted_recall: 0.618, number_of_instances: 500, precision: 0.6115, predictive_accuracy: 0.618, prior_entropy: 0.9815, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9714, unweighted_recall: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.5145, kappa: 0.0581, kb_relative_information_score: 0.0195, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4873, weighted_recall: 0.586, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.586, prior_entropy: 0.9815, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997, unweighted_recall: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.594, kappa: 0.1793, kb_relative_information_score: 0.0597, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4873, weighted_recall: 0.628, number_of_instances: 500, precision: 0.6246, predictive_accuracy: 0.628, prior_entropy: 0.9815, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9736, unweighted_recall: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.4872, kappa: 0.031, kb_relative_information_score: 0.0139, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4873, weighted_recall: 0.58, number_of_instances: 500, precision: 0.5507, predictive_accuracy: 0.58, prior_entropy: 0.9815, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0009, unweighted_recall: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.594, kappa: 0.1793, kb_relative_information_score: 0.0597, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4873, weighted_recall: 0.628, number_of_instances: 500, precision: 0.6246, predictive_accuracy: 0.628, prior_entropy: 0.9815, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9736, unweighted_recall: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6092, kappa: 0.208, kb_relative_information_score: 0.0709, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4873, weighted_recall: 0.64, number_of_instances: 500, precision: 0.6397, predictive_accuracy: 0.64, prior_entropy: 0.9815, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9667, unweighted_recall: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.5145, kappa: 0.0581, kb_relative_information_score: 0.0195, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4873, weighted_recall: 0.586, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.586, prior_entropy: 0.9815, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997, unweighted_recall: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.6013, kappa: 0.1873, kb_relative_information_score: 0.0727, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4873, weighted_recall: 0.628, number_of_instances: 500, precision: 0.6217, predictive_accuracy: 0.628, prior_entropy: 0.9815, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9687, unweighted_recall: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5577, kappa: 0.0872, kb_relative_information_score: 0.0922, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4873, weighted_recall: 0.562, number_of_instances: 500, precision: 0.5557, predictive_accuracy: 0.562, prior_entropy: 0.9815, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0533, unweighted_recall: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.583, kappa: 0.1387, kb_relative_information_score: 0.1045, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4873, weighted_recall: 0.59, number_of_instances: 500, precision: 0.5818, predictive_accuracy: 0.59, prior_entropy: 0.9815, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919, unweighted_recall: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.4794, kappa: 0.046, kb_relative_information_score: 0.0309, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4873, weighted_recall: 0.592, number_of_instances: 500, precision: 0.6049, predictive_accuracy: 0.592, prior_entropy: 0.9815, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9803, unweighted_recall: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.5572, kappa: 0.0873, kb_relative_information_score: 0.0582, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.5555, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5608, root_relative_squared_error: 1.1362, unweighted_recall: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5518, kappa: 0.0767, kb_relative_information_score: 0.0557, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, weighted_recall: 0.554, number_of_instances: 500, precision: 0.5503, predictive_accuracy: 0.554, prior_entropy: 0.9815, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.1405, unweighted_recall: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5577, kappa: 0.0872, kb_relative_information_score: 0.0922, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4873, weighted_recall: 0.562, number_of_instances: 500, precision: 0.5557, predictive_accuracy: 0.562, prior_entropy: 0.9815, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0533, unweighted_recall: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5577, kappa: 0.0872, kb_relative_information_score: 0.0922, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4873, weighted_recall: 0.562, number_of_instances: 500, precision: 0.5557, predictive_accuracy: 0.562, prior_entropy: 0.9815, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0533, unweighted_recall: 0.5429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5563, kappa: 0.0849, kb_relative_information_score: 0.0753, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.5544, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.543, root_relative_squared_error: 1.1001, unweighted_recall: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5622, kappa: 0.0967, kb_relative_information_score: 0.0858, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, weighted_recall: 0.566, number_of_instances: 500, precision: 0.5603, predictive_accuracy: 0.566, prior_entropy: 0.9815, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658, unweighted_recall: 0.5477,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6135, kappa: 0.2077, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4873, weighted_recall: 0.634, number_of_instances: 500, precision: 0.6274, predictive_accuracy: 0.634, prior_entropy: 0.9815, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9652, unweighted_recall: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6099, kappa: 0.197, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, weighted_recall: 0.626, number_of_instances: 500, precision: 0.6174, predictive_accuracy: 0.626, prior_entropy: 0.9815, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9677, unweighted_recall: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5563, kappa: 0.0849, kb_relative_information_score: 0.0643, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.5544, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1242, unweighted_recall: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5563, kappa: 0.0849, kb_relative_information_score: 0.0643, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4873, weighted_recall: 0.56, number_of_instances: 500, precision: 0.5544, predictive_accuracy: 0.56, prior_entropy: 0.9815, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.1242, unweighted_recall: 0.5419,

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