OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32444 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9742, kappa: 0.9367, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.863, recall: 0.9742, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3124,
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: 0.9963, 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: 0.9956, 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: 0.9956, 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: 0.9938, 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: 0.9938, 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: 0.9953, 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: 0.9953, 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: 0.9961, 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: 0.9961, 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: 0.9862, 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: 0.9862, 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: 0.9935, 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: 0.9935, 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: 0.9794, 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: 0.9794, 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: 0.9655, 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: 0.9935, 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: 0.996, 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: 0.996, 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: 0.9954, 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: 0.9954, 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: 0.9959, 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: 0.9959, 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: 0.9853, 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: 0.9948, f_measure: 0.9698, kappa: 0.9259, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9698, kappa: 0.9259, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9484, kappa: 0.8731, kb_relative_information_score: 0.78, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9484, kappa: 0.8731, kb_relative_information_score: 0.78, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9151, kb_relative_information_score: 0.8703, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9151, kb_relative_information_score: 0.8703, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8973, mean_absolute_error: 0.0431, 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: 0.1057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8973, mean_absolute_error: 0.0431, 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: 0.1057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9741, kappa: 0.9364, kb_relative_information_score: 0.9196, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9741, kappa: 0.9364, kb_relative_information_score: 0.9196, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.69, kappa: 0.2605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6995, predictive_accuracy: 0.6834, prior_entropy: 0.863, recall: 0.6834, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.2456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.69, kappa: 0.2605, kb_relative_information_score: 0.1589, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6995, predictive_accuracy: 0.6834, prior_entropy: 0.863, recall: 0.6834, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.2456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9697, kappa: 0.9258, kb_relative_information_score: 0.8854, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9697, kappa: 0.9258, kb_relative_information_score: 0.8854, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9268, mean_absolute_error: 0.0287, 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: 0.0703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9268, mean_absolute_error: 0.0287, 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: 0.0703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9374, kappa: 0.8452, kb_relative_information_score: 0.7305, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9374, kappa: 0.8452, kb_relative_information_score: 0.7305, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 0.879, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 0.879, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 0.8805, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 0.8805, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9733, kappa: 0.9345, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 0.863, recall: 0.9733, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9733, kappa: 0.9345, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 0.863, recall: 0.9733, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 0.8424, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 0.8424, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4769, kappa: 0.0001, kb_relative_information_score: -0.4423, mean_absolute_error: 0.5428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.592, predictive_accuracy: 0.4572, prior_entropy: 0.863, recall: 0.4572, relative_absolute_error: 1.3302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7368, root_relative_squared_error: 1.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4769, kappa: 0.0001, kb_relative_information_score: -0.4423, mean_absolute_error: 0.5428, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.592, predictive_accuracy: 0.4572, prior_entropy: 0.863, recall: 0.4572, relative_absolute_error: 1.3302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7368, root_relative_squared_error: 1.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 0.8202, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 0.8202, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8922, mean_absolute_error: 0.0451, 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: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8922, mean_absolute_error: 0.0451, 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: 0.1105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8602, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0361, 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: 0.0884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8602, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8967, kappa: 0.7372, kb_relative_information_score: 0.3578, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9126, predictive_accuracy: 0.9031, prior_entropy: 0.863, recall: 0.9031, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8967, kappa: 0.7372, kb_relative_information_score: 0.3578, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9126, predictive_accuracy: 0.9031, prior_entropy: 0.863, recall: 0.9031, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9197, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9197, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0491, 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: 0.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0491, 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: 0.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.974, kappa: 0.9363, kb_relative_information_score: 0.9178, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.974, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.974, kappa: 0.9363, kb_relative_information_score: 0.9178, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.974, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9645, kappa: 0.913, kb_relative_information_score: 0.8653, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9645, kappa: 0.913, kb_relative_information_score: 0.8653, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.973, kappa: 0.9338, kb_relative_information_score: 0.907, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.933, kappa: 0.8359, kb_relative_information_score: 0.8125, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.973, kappa: 0.9338, kb_relative_information_score: 0.907, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9721, kappa: 0.9315, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9721, kappa: 0.9315, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9667, kappa: 0.9184, kb_relative_information_score: 0.882, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1202, 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: 0.9938, f_measure: 0.9667, kappa: 0.9184, kb_relative_information_score: 0.882, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1202, 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: 0.9949, f_measure: 0.97, kappa: 0.9265, kb_relative_information_score: 0.884, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.97, kappa: 0.9265, kb_relative_information_score: 0.884, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9624, kappa: 0.9079, kb_relative_information_score: 0.854, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9624, kappa: 0.9079, kb_relative_information_score: 0.854, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9198, kappa: 0.8036, kb_relative_information_score: 0.7829, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9199, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9198, kappa: 0.8036, kb_relative_information_score: 0.7829, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9199, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9703, kappa: 0.9271, kb_relative_information_score: 0.894, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9703, kappa: 0.9271, kb_relative_information_score: 0.894, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9626, kappa: 0.9084, kb_relative_information_score: 0.8537, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9626, kappa: 0.9084, kb_relative_information_score: 0.8537, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9703, kappa: 0.9273, kb_relative_information_score: 0.8942, mean_absolute_error: 0.0442, 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: 0.1082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9703, kappa: 0.9273, kb_relative_information_score: 0.8942, mean_absolute_error: 0.0442, 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: 0.1082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.97, kappa: 0.9265, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3335,

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