OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.735, kappa: 0.3726, kb_relative_information_score: 0.2699, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7468, predictive_accuracy: 0.7282, prior_entropy: 0.863, recall: 0.7282, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9703, kappa: 0.9271, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8551, kappa: 0.6597, kb_relative_information_score: 0.599, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8684, predictive_accuracy: 0.8507, prior_entropy: 0.863, recall: 0.8507, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8551, kappa: 0.6597, kb_relative_information_score: 0.599, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8684, predictive_accuracy: 0.8507, prior_entropy: 0.863, recall: 0.8507, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.735, kappa: 0.3726, kb_relative_information_score: 0.2699, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7468, predictive_accuracy: 0.7282, prior_entropy: 0.863, recall: 0.7282, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9378, kappa: 0.846, kb_relative_information_score: 0.727, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9703, kappa: 0.9271, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 0.9062, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.9207, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7925, kappa: 0.5278, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.822, predictive_accuracy: 0.7839, prior_entropy: 0.863, recall: 0.7839, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 0.9062, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9743, kappa: 0.9369, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.9207, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8934, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8934, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7925, kappa: 0.5278, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.822, predictive_accuracy: 0.7839, prior_entropy: 0.863, recall: 0.7839, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9743, kappa: 0.9369, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.975, kappa: 0.9387, kb_relative_information_score: 0.9208, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.863, recall: 0.975, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9703, kappa: 0.9273, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 0.8618, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.9359, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9136, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.9359, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9703, kappa: 0.9273, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 0.8618, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9136, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.919, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.919, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6113, kappa: -0, kb_relative_information_score: 0.1271, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6715, prior_entropy: 0.863, recall: 0.6715, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7649, kappa: 0.4637, kb_relative_information_score: 0.3486, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7935, predictive_accuracy: 0.7551, prior_entropy: 0.863, recall: 0.7551, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9646, kappa: 0.9133, kb_relative_information_score: 0.8559, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: 0, kb_relative_information_score: 0.0133, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: 0, kb_relative_information_score: 0.0133, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9707, kappa: 0.9283, kb_relative_information_score: 0.8894, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9707, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9364, kappa: 0.8442, kb_relative_information_score: 0.823, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9457, kappa: 0.8669, kb_relative_information_score: 0.8296, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9462, kappa: 0.8685, kb_relative_information_score: 0.8457, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 0.8653, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 0.8653, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.524, kappa: -0.0001, kb_relative_information_score: -0.3286, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5, prior_entropy: 0.863, recall: 0.5, relative_absolute_error: 1.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9241, kb_relative_information_score: 0.8846, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9241, kb_relative_information_score: 0.8846, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9711, kappa: 0.929, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9711, kappa: 0.929, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9462, kappa: 0.8685, kb_relative_information_score: 0.8457, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.524, kappa: -0.0001, kb_relative_information_score: -0.3286, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5, prior_entropy: 0.863, recall: 0.5, relative_absolute_error: 1.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9707, kappa: 0.9283, kb_relative_information_score: 0.8894, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9707, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9457, kappa: 0.8669, kb_relative_information_score: 0.8296, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9364, kappa: 0.8442, kb_relative_information_score: 0.823, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9722, kappa: 0.9318, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 0.8842, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, kb_relative_information_score: 0.3216, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, kb_relative_information_score: 0.3216, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9724, kappa: 0.9324, kb_relative_information_score: 0.9033, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.863, recall: 0.9724, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9722, kappa: 0.9318, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9738, kappa: 0.9357, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9737, predictive_accuracy: 0.9738, prior_entropy: 0.863, recall: 0.9738, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9655, kappa: 0.9155, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5887, kappa: -0, kb_relative_information_score: -0.1007, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5858, prior_entropy: 0.863, recall: 0.5858, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.929, kappa: 0.823, kb_relative_information_score: 0.6094, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 0.8842, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9477, kappa: 0.8719, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9724, kappa: 0.9324, kb_relative_information_score: 0.9033, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.863, recall: 0.9724, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9738, kappa: 0.9357, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9737, predictive_accuracy: 0.9738, prior_entropy: 0.863, recall: 0.9738, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9655, kappa: 0.9155, kb_relative_information_score: 0.8844, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.929, kappa: 0.823, kb_relative_information_score: 0.6094, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9477, kappa: 0.8719, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9547, kappa: 0.8887, kb_relative_information_score: 0.8146, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9256, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9403, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.952, kappa: 0.8822, kb_relative_information_score: 0.808, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9714, kappa: 0.9299, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9256, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9403, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9714, kappa: 0.9299, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9412, kappa: 0.8551, kb_relative_information_score: 0.7388, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3399,

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