OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32524 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32524 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9591, kappa: 0.8997, kb_relative_information_score: 0.8552, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9592, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879, unweighted_recall: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 0.8576, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9599, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.863, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.381, unweighted_recall: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 0.8663, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9634, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3737, unweighted_recall: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8475, kappa: 0.6089, kb_relative_information_score: 0.4953, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8613, number_of_instances: 34465, precision: 0.8753, predictive_accuracy: 0.8613, prior_entropy: 0.863, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6869, unweighted_recall: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8805, kappa: 0.6955, kb_relative_information_score: 0.5959, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4081, weighted_recall: 0.888, number_of_instances: 34465, precision: 0.8956, predictive_accuracy: 0.888, prior_entropy: 0.863, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.28, root_relative_squared_error: 0.6199, unweighted_recall: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9561, kappa: 0.8918, kb_relative_information_score: 0.8444, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9564, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9564, prior_entropy: 0.863, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4021, unweighted_recall: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.939, kappa: 0.8482, kb_relative_information_score: 0.7916, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9401, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9401, prior_entropy: 0.863, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4603, unweighted_recall: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9593, kappa: 0.9002, kb_relative_information_score: 0.8573, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9594, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, unweighted_recall: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8039, kappa: 0.4952, kb_relative_information_score: 0.3909, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8286, number_of_instances: 34465, precision: 0.8516, predictive_accuracy: 0.8286, prior_entropy: 0.863, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7524, unweighted_recall: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 0.8698, mean_absolute_error: 0.0551, 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: 0.1349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3653, unweighted_recall: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8217, kappa: 0.5992, kb_relative_information_score: 0.3095, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8137, number_of_instances: 34465, precision: 0.858, predictive_accuracy: 0.8137, prior_entropy: 0.863, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8015, unweighted_recall: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 0.8539, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9589, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3881, unweighted_recall: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9497, kappa: 0.8766, kb_relative_information_score: 0.823, mean_absolute_error: 0.0735, 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: 0.1802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425, unweighted_recall: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6406, kappa: 0.0932, kb_relative_information_score: 0.0459, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4081, weighted_recall: 0.7287, number_of_instances: 34465, precision: 0.7285, predictive_accuracy: 0.7287, prior_entropy: 0.863, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9777, unweighted_recall: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.96, kappa: 0.9019, kb_relative_information_score: 0.8581, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9601, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3824, unweighted_recall: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9463, kappa: 0.8682, kb_relative_information_score: -0.3031, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9464, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 0.863, relative_absolute_error: 1.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0444, unweighted_recall: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6406, kappa: 0.0932, kb_relative_information_score: 0.0459, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4081, weighted_recall: 0.7287, number_of_instances: 34465, precision: 0.7285, predictive_accuracy: 0.7287, prior_entropy: 0.863, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9777, unweighted_recall: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9609, kappa: 0.9041, kb_relative_information_score: 0.8503, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9609, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3846, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8532, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, unweighted_recall: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9471, kappa: 0.8703, kb_relative_information_score: 0.8106, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9472, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9472, prior_entropy: 0.863, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4398, unweighted_recall: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9504, kappa: 0.8783, kb_relative_information_score: 0.8224, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9504, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, unweighted_recall: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8976, kappa: 0.7405, kb_relative_information_score: 0.6529, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9027, number_of_instances: 34465, precision: 0.9075, predictive_accuracy: 0.9027, prior_entropy: 0.863, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5795, unweighted_recall: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9492, kappa: 0.8743, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9497, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4233, unweighted_recall: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 0.8657, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9625, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721, unweighted_recall: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9541, kappa: 0.8872, kb_relative_information_score: 0.8028, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9542, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, unweighted_recall: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.959, kappa: 0.899, kb_relative_information_score: 0.8535, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9591, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3905, unweighted_recall: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9609, kappa: 0.9042, kb_relative_information_score: 0.8597, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9609, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3775, unweighted_recall: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9601, kappa: 0.9022, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9602, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3893, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9631, kappa: 0.9097, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9632, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.372, unweighted_recall: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9591, kappa: 0.8995, kb_relative_information_score: 0.8471, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9592, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, unweighted_recall: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9213, kappa: 0.8025, kb_relative_information_score: 0.7345, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9238, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9238, prior_entropy: 0.863, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5141, unweighted_recall: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9504, kappa: 0.8783, kb_relative_information_score: 0.8233, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9505, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9505, prior_entropy: 0.863, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4258, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9504, kappa: 0.8784, kb_relative_information_score: 0.8224, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9504, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.863, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239, unweighted_recall: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9226, kappa: 0.81, kb_relative_information_score: 0.726, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9228, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9228, prior_entropy: 0.863, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5309, unweighted_recall: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9294, kappa: 0.8235, kb_relative_information_score: 0.7597, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9311, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9311, prior_entropy: 0.863, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4898, unweighted_recall: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9525, kappa: 0.8827, kb_relative_information_score: 0.8194, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9528, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9528, prior_entropy: 0.863, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4225, unweighted_recall: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.902, kappa: 0.752, kb_relative_information_score: 0.6623, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9065, number_of_instances: 34465, precision: 0.9107, predictive_accuracy: 0.9065, prior_entropy: 0.863, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5691, unweighted_recall: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9636, kappa: 0.9108, kb_relative_information_score: 0.8678, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9637, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, unweighted_recall: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9067, kappa: 0.7644, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9106, number_of_instances: 34465, precision: 0.9139, predictive_accuracy: 0.9106, prior_entropy: 0.863, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5541, unweighted_recall: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9067, kappa: 0.7644, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9106, number_of_instances: 34465, precision: 0.9139, predictive_accuracy: 0.9106, prior_entropy: 0.863, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5541, unweighted_recall: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.7323, kappa: 0.3107, kb_relative_information_score: 0.2561, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4081, weighted_recall: 0.7674, number_of_instances: 34465, precision: 0.7583, predictive_accuracy: 0.7674, prior_entropy: 0.863, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8679, unweighted_recall: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9615, kappa: 0.9057, kb_relative_information_score: 0.8541, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9615, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.863, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, unweighted_recall: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9503, kappa: 0.8782, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9504, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, unweighted_recall: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9462, kappa: 0.868, kb_relative_information_score: 0.8117, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9463, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9463, prior_entropy: 0.863, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392, unweighted_recall: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9275, kappa: 0.8188, kb_relative_information_score: 0.7578, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9292, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9292, prior_entropy: 0.863, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958, unweighted_recall: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9246, kappa: 0.8146, kb_relative_information_score: 0.739, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9249, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9249, prior_entropy: 0.863, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.5184, unweighted_recall: 0.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8015, kappa: 0.4889, kb_relative_information_score: 0.381, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8268, number_of_instances: 34465, precision: 0.8501, predictive_accuracy: 0.8268, prior_entropy: 0.863, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7567, unweighted_recall: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9462, kappa: 0.8676, kb_relative_information_score: 0.8086, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9464, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4467, unweighted_recall: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 0.8716, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9656, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3635, unweighted_recall: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.953, kappa: 0.8846, kb_relative_information_score: 0.8149, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9532, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9532, prior_entropy: 0.863, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4258, unweighted_recall: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9587, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3977, unweighted_recall: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9587, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3977, unweighted_recall: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8015, kappa: 0.4889, kb_relative_information_score: 0.381, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8268, number_of_instances: 34465, precision: 0.8501, predictive_accuracy: 0.8268, prior_entropy: 0.863, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7567, unweighted_recall: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9408, kappa: 0.8538, kb_relative_information_score: 0.7585, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9412, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4831, unweighted_recall: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8768, kappa: 0.6929, kb_relative_information_score: 0.5418, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8793, number_of_instances: 34465, precision: 0.877, predictive_accuracy: 0.8793, prior_entropy: 0.863, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6847, unweighted_recall: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9549, kappa: 0.8889, kb_relative_information_score: 0.8182, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9551, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9551, prior_entropy: 0.863, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4209, unweighted_recall: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9551, kappa: 0.8894, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9554, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9554, prior_entropy: 0.863, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4126, unweighted_recall: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9632, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, unweighted_recall: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9502, kappa: 0.878, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9503, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, unweighted_recall: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9541, kappa: 0.8872, kb_relative_information_score: 0.8116, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9543, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9543, prior_entropy: 0.863, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271, unweighted_recall: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7983, kappa: 0.4854, kb_relative_information_score: 0.3097, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8121, number_of_instances: 34465, precision: 0.8061, predictive_accuracy: 0.8121, prior_entropy: 0.863, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8334, unweighted_recall: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9591, kappa: 0.8993, kb_relative_information_score: 0.8506, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9592, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3928, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 0.8673, mean_absolute_error: 0.0566, 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: 0.1388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, unweighted_recall: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9561, kappa: 0.8924, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9562, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4003, unweighted_recall: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9557, kappa: 0.8912, kb_relative_information_score: 0.8289, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9558, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9558, prior_entropy: 0.863, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4123, unweighted_recall: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9196, kappa: 0.798, kb_relative_information_score: 0.7208, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9221, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9221, prior_entropy: 0.863, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5208, unweighted_recall: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7156, kappa: 0.273, kb_relative_information_score: 0.198, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4081, weighted_recall: 0.7723, number_of_instances: 34465, precision: 0.8145, predictive_accuracy: 0.7723, prior_entropy: 0.863, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8655, unweighted_recall: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.725, kappa: 0.2919, kb_relative_information_score: 0.2405, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4081, weighted_recall: 0.7621, number_of_instances: 34465, precision: 0.751, predictive_accuracy: 0.7621, prior_entropy: 0.863, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8778, unweighted_recall: 0.6202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9521, kappa: 0.8822, kb_relative_information_score: 0.8118, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9522, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9522, prior_entropy: 0.863, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, unweighted_recall: 0.9386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9541, kappa: 0.8873, kb_relative_information_score: 0.8372, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9542, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.4099, unweighted_recall: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9601, kappa: 0.9022, kb_relative_information_score: 0.8593, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9602, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, unweighted_recall: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9554, kappa: 0.8907, kb_relative_information_score: 0.8412, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9554, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.863, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, unweighted_recall: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9636, kappa: 0.9108, kb_relative_information_score: 0.8693, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9636, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3678, unweighted_recall: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9144, kappa: 0.7844, kb_relative_information_score: 0.7058, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9175, number_of_instances: 34465, precision: 0.9198, predictive_accuracy: 0.9175, prior_entropy: 0.863, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.536, unweighted_recall: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.863, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9622, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 0.863, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3725, unweighted_recall: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 0.8653, mean_absolute_error: 0.0574, 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: 0.1406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 0.8653, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9632, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3726, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9642, kappa: 0.9123, kb_relative_information_score: 0.8661, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9642, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.863, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3691, unweighted_recall: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9567, kappa: 0.894, kb_relative_information_score: 0.8462, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9568, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.863, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3953, unweighted_recall: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 0.8568, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9599, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.863, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, unweighted_recall: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8781, kappa: 0.6892, kb_relative_information_score: 0.5916, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4081, weighted_recall: 0.886, number_of_instances: 34465, precision: 0.8941, predictive_accuracy: 0.886, prior_entropy: 0.863, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6239, unweighted_recall: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 0.8252, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9574, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9574, prior_entropy: 0.863, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, unweighted_recall: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8767, kappa: 0.6857, kb_relative_information_score: 0.5868, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4081, weighted_recall: 0.885, number_of_instances: 34465, precision: 0.8933, predictive_accuracy: 0.885, prior_entropy: 0.863, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6276, unweighted_recall: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9589, kappa: 0.8989, kb_relative_information_score: 0.8479, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9591, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, unweighted_recall: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8855, kappa: 0.7088, kb_relative_information_score: 0.6144, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4081, weighted_recall: 0.8923, number_of_instances: 34465, precision: 0.899, predictive_accuracy: 0.8923, prior_entropy: 0.863, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6085, unweighted_recall: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.5968, kappa: 0.0006, kb_relative_information_score: 0.0175, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4081, weighted_recall: 0.713, number_of_instances: 34465, precision: 0.5988, predictive_accuracy: 0.713, prior_entropy: 0.863, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.99, unweighted_recall: 0.5002,

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