Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
1 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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147945 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8936, kappa: 0.7691, kb_relative_information_score: 0.7714, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9016, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6509, unweighted_recall: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1386, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1686, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: -0.001, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8809, kappa: 0.741, kb_relative_information_score: 0.7463, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8858, number_of_instances: 569, precision: 0.8992, predictive_accuracy: 0.8858, prior_entropy: 0.9526, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6538, unweighted_recall: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0004, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6925, kappa: 0.3518, kb_relative_information_score: 0.4277, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4676, weighted_recall: 0.7399, number_of_instances: 569, precision: 0.8161, predictive_accuracy: 0.7399, prior_entropy: 0.9526, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0548, unweighted_recall: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, kb_relative_information_score: 0.0016, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9993, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, kb_relative_information_score: 0.0051, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9966, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, kb_relative_information_score: 0.0005, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8936, kappa: 0.7691, kb_relative_information_score: 0.7714, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9016, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6509, unweighted_recall: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8939, kappa: 0.7701, kb_relative_information_score: 0.7704, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9001, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6511, unweighted_recall: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.877, kappa: 0.7325, kb_relative_information_score: 0.7391, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8822, number_of_instances: 569, precision: 0.8965, predictive_accuracy: 0.8822, prior_entropy: 0.9526, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.642, unweighted_recall: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1567, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.206, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1075, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.1099, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.935, kappa: 0.861, kb_relative_information_score: 0.8569, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, weighted_recall: 0.935, number_of_instances: 569, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.9526, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274, unweighted_recall: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kb_relative_information_score: -0.0025, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1361, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1638, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9277, kappa: 0.8448, kb_relative_information_score: 0.6794, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9279, number_of_instances: 569, precision: 0.9277, predictive_accuracy: 0.9279, prior_entropy: 0.9526, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4892, unweighted_recall: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1461, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.1834, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9258, kappa: 0.8406, kb_relative_information_score: 0.6808, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9262, number_of_instances: 569, precision: 0.926, predictive_accuracy: 0.9262, prior_entropy: 0.9526, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4896, unweighted_recall: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9409, kappa: 0.8722, kb_relative_information_score: 0.768, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4676, weighted_recall: 0.942, number_of_instances: 569, precision: 0.9462, predictive_accuracy: 0.942, prior_entropy: 0.9526, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4285, unweighted_recall: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9149, kappa: 0.8168, kb_relative_information_score: 0.4098, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9156, number_of_instances: 569, precision: 0.9158, predictive_accuracy: 0.9156, prior_entropy: 0.9526, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6774, unweighted_recall: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 0.6641, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8893, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.9526, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6517, unweighted_recall: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8753, kappa: 0.7408, kb_relative_information_score: 0.5909, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8735, number_of_instances: 569, precision: 0.8886, predictive_accuracy: 0.8735, prior_entropy: 0.9526, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6611, unweighted_recall: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.9432, kappa: 0.8776, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9438, number_of_instances: 569, precision: 0.9447, predictive_accuracy: 0.9438, prior_entropy: 0.9526, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4905, unweighted_recall: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8939, kappa: 0.7701, kb_relative_information_score: 0.7704, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9001, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6511, unweighted_recall: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9435, kappa: 0.8785, kb_relative_information_score: 0.8276, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9438, number_of_instances: 569, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 0.9526, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4087, unweighted_recall: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9151, kappa: 0.8157, kb_relative_information_score: 0.7486, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9174, number_of_instances: 569, precision: 0.925, predictive_accuracy: 0.9174, prior_entropy: 0.9526, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5055, unweighted_recall: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9041, kappa: 0.7918, kb_relative_information_score: 0.795, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9069, number_of_instances: 569, precision: 0.9146, predictive_accuracy: 0.9069, prior_entropy: 0.9526, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6312, unweighted_recall: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8731, kappa: 0.724, kb_relative_information_score: 0.7371, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8787, number_of_instances: 569, precision: 0.8939, predictive_accuracy: 0.8787, prior_entropy: 0.9526, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6393, unweighted_recall: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1394, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1682, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: -0.0007, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, kb_relative_information_score: 0.1389, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.169, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8936, kappa: 0.7691, kb_relative_information_score: 0.7714, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9016, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6509, unweighted_recall: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1802, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8939, kappa: 0.7701, kb_relative_information_score: 0.7702, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4676, weighted_recall: 0.8963, number_of_instances: 569, precision: 0.9001, predictive_accuracy: 0.8963, prior_entropy: 0.9526, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6512, unweighted_recall: 0.8714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -0.0016, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4676, weighted_recall: 0.6274, number_of_instances: 569, predictive_accuracy: 0.6274, prior_entropy: 0.9526, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9596, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.9526, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3752, unweighted_recall: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 0.8561, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9613, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9526, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3624, unweighted_recall: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 0.8256, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9578, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9526, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3824, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 0.7452, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9525, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.9526, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4414, unweighted_recall: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9488, kappa: 0.89, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4676, weighted_recall: 0.949, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9526, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4501, unweighted_recall: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 0.8486, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9613, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9526, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3769, unweighted_recall: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 0.8406, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9578, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9526, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3796, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9666, kappa: 0.9285, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9666, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9526, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3566, unweighted_recall: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 0.842, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9649, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9526, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3614, unweighted_recall: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9524, kappa: 0.8978, kb_relative_information_score: 0.741, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9525, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.9526, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4338, unweighted_recall: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 0.8508, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9543, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.9526, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3672, unweighted_recall: 0.9483,

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

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

OpenML APIs