Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 27400 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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27400 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9644, kappa: 0.9217, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9651, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3558, unweighted_recall: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 0.8945, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9671, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9293, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3418, unweighted_recall: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9671, kappa: 0.9272, kb_relative_information_score: 0.8873, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9671, number_of_instances: 699, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9293, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3417, unweighted_recall: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9644, kappa: 0.9217, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9651, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3558, unweighted_recall: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9471, number_of_instances: 699, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9293, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.407, unweighted_recall: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9642, kappa: 0.9206, kb_relative_information_score: 0.8842, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3431, unweighted_recall: 0.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 0.8875, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3381, unweighted_recall: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 0.8863, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3416, unweighted_recall: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 0.888, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9572, kappa: 0.9054, kb_relative_information_score: 0.8704, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9571, number_of_instances: 699, precision: 0.9573, predictive_accuracy: 0.9571, prior_entropy: 0.9293, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3936, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.335, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9589, kappa: 0.91, kb_relative_information_score: 0.8631, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9585, number_of_instances: 699, precision: 0.9611, predictive_accuracy: 0.9585, prior_entropy: 0.9293, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3846, unweighted_recall: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9516, kappa: 0.8936, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9514, number_of_instances: 699, precision: 0.9525, predictive_accuracy: 0.9514, prior_entropy: 0.9293, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3813, unweighted_recall: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.963, kappa: 0.9185, kb_relative_information_score: 0.8798, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9628, number_of_instances: 699, precision: 0.9636, predictive_accuracy: 0.9628, prior_entropy: 0.9293, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3666, unweighted_recall: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 0.8876, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3381, unweighted_recall: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9256, kappa: 0.8405, kb_relative_information_score: 0.7603, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9242, number_of_instances: 699, precision: 0.9378, predictive_accuracy: 0.9242, prior_entropy: 0.9293, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5165, unweighted_recall: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 0.8931, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3358, unweighted_recall: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9686, kappa: 0.9309, kb_relative_information_score: 0.8886, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9685, number_of_instances: 699, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 0.9293, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3405, unweighted_recall: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9471, kappa: 0.8832, kb_relative_information_score: 0.8437, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9471, number_of_instances: 699, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9293, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4116, unweighted_recall: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 0.892, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3361, unweighted_recall: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9331, kappa: 0.8502, kb_relative_information_score: 0.7048, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9342, number_of_instances: 699, precision: 0.9355, predictive_accuracy: 0.9342, prior_entropy: 0.9293, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5324, unweighted_recall: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9376, kappa: 0.8604, kb_relative_information_score: 0.7612, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9385, number_of_instances: 699, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 0.9293, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4917, unweighted_recall: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.8818, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3401, unweighted_recall: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9499, kappa: 0.8891, kb_relative_information_score: 0.8475, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9499, number_of_instances: 699, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9293, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4056, unweighted_recall: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.894, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3334, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9614, number_of_instances: 699, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 0.9293, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3394, unweighted_recall: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8946, kappa: 0.7618, kb_relative_information_score: 0.6097, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4519, weighted_recall: 0.8984, number_of_instances: 699, precision: 0.9055, predictive_accuracy: 0.8984, prior_entropy: 0.9293, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.602, unweighted_recall: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9627, kappa: 0.9173, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9628, number_of_instances: 699, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.9293, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3415, unweighted_recall: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9658, kappa: 0.9246, kb_relative_information_score: 0.9001, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3398, unweighted_recall: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.351, unweighted_recall: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.95, kappa: 0.8897, kb_relative_information_score: 0.8497, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9499, number_of_instances: 699, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 0.9293, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4027, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3443, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3446, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3439, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9002, kappa: 0.7743, kb_relative_information_score: 0.4417, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9041, number_of_instances: 699, precision: 0.9135, predictive_accuracy: 0.9041, prior_entropy: 0.9293, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6606, unweighted_recall: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3447, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.344, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3443, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3447, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 0.7495, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4519, weighted_recall: 0.97, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9293, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3944, unweighted_recall: 0.9692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9002, kappa: 0.7743, kb_relative_information_score: 0.4417, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9041, number_of_instances: 699, precision: 0.9135, predictive_accuracy: 0.9041, prior_entropy: 0.9293, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6606, unweighted_recall: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9642, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9293, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3394, unweighted_recall: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8955, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9002, kappa: 0.7743, kb_relative_information_score: 0.4417, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9041, number_of_instances: 699, precision: 0.9135, predictive_accuracy: 0.9041, prior_entropy: 0.9293, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6606, unweighted_recall: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3447, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3439, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9002, kappa: 0.7743, kb_relative_information_score: 0.4417, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9041, number_of_instances: 699, precision: 0.9135, predictive_accuracy: 0.9041, prior_entropy: 0.9293, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6606, unweighted_recall: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3447, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3389, unweighted_recall: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9657, kappa: 0.924, kb_relative_information_score: 0.8989, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9657, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9293, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3432, unweighted_recall: 0.962,

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