OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32749 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32749 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 0.8694, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, weighted_recall: 0.964, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3614, unweighted_recall: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9607, kappa: 0.9036, kb_relative_information_score: 0.8648, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9608, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.863, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, unweighted_recall: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9637, kappa: 0.9111, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9638, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3658, unweighted_recall: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9568, kappa: 0.894, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9569, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935, unweighted_recall: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.8683, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9645, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3636, unweighted_recall: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9532, kappa: 0.8851, kb_relative_information_score: 0.8337, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9534, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4107, unweighted_recall: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 0.8865, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9659, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.355, unweighted_recall: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9424, kappa: 0.8576, kb_relative_information_score: 0.727, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, weighted_recall: 0.943, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.943, prior_entropy: 0.863, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4689, unweighted_recall: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, weighted_recall: 0.967, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3487, unweighted_recall: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9515, kappa: 0.8807, kb_relative_information_score: 0.8021, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9517, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9517, prior_entropy: 0.863, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4215, unweighted_recall: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9377, kappa: 0.8458, kb_relative_information_score: 0.6858, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9385, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9385, prior_entropy: 0.863, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4939, unweighted_recall: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 0.8862, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9668, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, unweighted_recall: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9653, kappa: 0.915, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9654, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, unweighted_recall: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.8717, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, weighted_recall: 0.965, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, unweighted_recall: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 0.887, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9673, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3486, unweighted_recall: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 0.8678, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9647, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.863, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3591, unweighted_recall: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9664, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.863, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3544, unweighted_recall: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9632, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3697, unweighted_recall: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9604, kappa: 0.9028, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9605, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3811, unweighted_recall: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9066, kb_relative_information_score: 0.8568, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, weighted_recall: 0.962, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, unweighted_recall: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9654, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612, unweighted_recall: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 0.863, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9637, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.863, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, unweighted_recall: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9627, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3719, unweighted_recall: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9651, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3582, unweighted_recall: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 0.8837, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9648, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.863, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, unweighted_recall: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 0.8797, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9645, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, unweighted_recall: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 0.8748, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9659, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3523, unweighted_recall: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 0.8847, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9671, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3486, unweighted_recall: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.948, kappa: 0.8717, kb_relative_information_score: 0.7725, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9484, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9484, prior_entropy: 0.863, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.442, unweighted_recall: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9531, kappa: 0.8845, kb_relative_information_score: 0.8135, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9533, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4125, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9399, kappa: 0.8511, kb_relative_information_score: 0.7065, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9406, number_of_instances: 34465, precision: 0.9402, predictive_accuracy: 0.9406, prior_entropy: 0.863, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4819, unweighted_recall: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9506, kappa: 0.8783, kb_relative_information_score: 0.796, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9508, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263, unweighted_recall: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 0.8719, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9633, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364, unweighted_recall: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.966, kappa: 0.9167, kb_relative_information_score: 0.8766, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9661, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3545, unweighted_recall: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9614, kappa: 0.9054, kb_relative_information_score: 0.8639, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9614, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.863, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3719, unweighted_recall: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 0.8697, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9652, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.863, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, unweighted_recall: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9571, kappa: 0.8946, kb_relative_information_score: 0.836, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9572, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3943, unweighted_recall: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 0.8581, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9605, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3821, unweighted_recall: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, weighted_recall: 0.966, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3533, unweighted_recall: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9624, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3723, unweighted_recall: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 0.8895, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4081, weighted_recall: 0.967, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, unweighted_recall: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 0.8592, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9591, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, unweighted_recall: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4081, weighted_recall: 0.965, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, unweighted_recall: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.943, kappa: 0.8589, kb_relative_information_score: 0.7369, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9435, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4628, unweighted_recall: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 0.8768, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4081, weighted_recall: 0.964, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3654, unweighted_recall: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9647, kappa: 0.9136, kb_relative_information_score: 0.8842, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9648, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, unweighted_recall: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 0.882, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9647, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364, unweighted_recall: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 0.888, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9679, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.863, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.344, unweighted_recall: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 0.8742, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9648, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, unweighted_recall: 0.9553,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9491, kappa: 0.8754, kb_relative_information_score: 0.8574, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, weighted_recall: 0.949, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.863, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4685, unweighted_recall: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.947, kappa: 0.87, kb_relative_information_score: 0.8202, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, weighted_recall: 0.947, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.863, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4394, unweighted_recall: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9496, kappa: 0.8766, kb_relative_information_score: 0.8392, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9495, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9495, prior_entropy: 0.863, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4366, unweighted_recall: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.938, kappa: 0.8479, kb_relative_information_score: 0.7871, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, weighted_recall: 0.938, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.938, prior_entropy: 0.863, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4704, unweighted_recall: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9462, kappa: 0.8686, kb_relative_information_score: 0.857, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4081, weighted_recall: 0.946, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.946, prior_entropy: 0.863, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4818, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9448, kappa: 0.8652, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9447, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9447, prior_entropy: 0.863, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4924, unweighted_recall: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9486, kappa: 0.8741, kb_relative_information_score: 0.8261, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9485, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.863, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4389, unweighted_recall: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.946, kappa: 0.8674, kb_relative_information_score: 0.8164, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, weighted_recall: 0.946, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.946, prior_entropy: 0.863, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4473, unweighted_recall: 0.9327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9516, kappa: 0.8815, kb_relative_information_score: 0.8573, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9516, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9516, prior_entropy: 0.863, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302, unweighted_recall: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9496, kappa: 0.8765, kb_relative_information_score: 0.8642, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9497, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4685, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9509, kappa: 0.8798, kb_relative_information_score: 0.8597, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9508, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 0.863, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4475, unweighted_recall: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9502, kappa: 0.8778, kb_relative_information_score: 0.8434, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9502, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.863, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4322, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9521, kappa: 0.8827, kb_relative_information_score: 0.8508, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9521, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.863, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.431, unweighted_recall: 0.9415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9512, kappa: 0.8805, kb_relative_information_score: 0.857, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9513, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, unweighted_recall: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9499, kappa: 0.8773, kb_relative_information_score: 0.8564, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9499, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, unweighted_recall: 0.9387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9473, kappa: 0.8708, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9474, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 0.863, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4398, unweighted_recall: 0.9348,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9474, kappa: 0.8711, kb_relative_information_score: 0.8484, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9474, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.863, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4585, unweighted_recall: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9519, kappa: 0.8823, kb_relative_information_score: 0.8479, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9518, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9518, prior_entropy: 0.863, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4277, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9519, kappa: 0.8821, kb_relative_information_score: 0.8579, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9519, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.863, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4358, unweighted_recall: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9467, kappa: 0.8697, kb_relative_information_score: 0.8568, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9465, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9465, prior_entropy: 0.863, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.946, kappa: 0.8676, kb_relative_information_score: 0.8228, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9459, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.863, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4413, unweighted_recall: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9524, kappa: 0.8835, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9523, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9523, prior_entropy: 0.863, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4356, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9516, kappa: 0.8814, kb_relative_information_score: 0.8578, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9516, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 0.863, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4359, unweighted_recall: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9454, kappa: 0.8659, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9456, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9456, prior_entropy: 0.863, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4446, unweighted_recall: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9519, kappa: 0.882, kb_relative_information_score: 0.8439, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9519, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.863, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275, unweighted_recall: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9496, kappa: 0.8764, kb_relative_information_score: 0.8399, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9497, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4306, unweighted_recall: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9495, kappa: 0.8765, kb_relative_information_score: 0.8582, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9494, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.863, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454, unweighted_recall: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9509, kappa: 0.88, kb_relative_information_score: 0.8541, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9507, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9507, prior_entropy: 0.863, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9458, kappa: 0.8672, kb_relative_information_score: 0.815, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9457, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9457, prior_entropy: 0.863, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4453, unweighted_recall: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9477, kappa: 0.8719, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9477, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.863, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4372, unweighted_recall: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9407, kappa: 0.8544, kb_relative_information_score: 0.7973, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9408, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9408, prior_entropy: 0.863, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635, unweighted_recall: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9505, kappa: 0.8786, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9506, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9506, prior_entropy: 0.863, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4323, unweighted_recall: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9505, kappa: 0.8785, kb_relative_information_score: 0.846, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9506, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9506, prior_entropy: 0.863, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4278, unweighted_recall: 0.9381,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs