OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31669 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31669 Runs

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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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.971, kappa: 0.9289, kb_relative_information_score: 0.8946, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.971, kappa: 0.9289, kb_relative_information_score: 0.8946, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9738, kappa: 0.9357, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.863, recall: 0.9738, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9738, kappa: 0.9357, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.863, recall: 0.9738, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.969, kappa: 0.9238, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0556, 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: 0.1364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9519, kappa: 0.8819, kb_relative_information_score: 0.8086, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.969, kappa: 0.9238, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0556, 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: 0.1364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9373, kappa: 0.8453, kb_relative_information_score: 0.7156, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.863, recall: 0.9378, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9373, kappa: 0.8453, kb_relative_information_score: 0.7156, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.863, recall: 0.9378, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 0.7533, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 0.7533, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.932, kappa: 0.8325, kb_relative_information_score: 0.6855, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9511, kappa: 0.8799, kb_relative_information_score: 0.7985, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.932, kappa: 0.8325, kb_relative_information_score: 0.6855, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9606, kappa: 0.9034, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9606, kappa: 0.9034, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9432, kappa: 0.8601, kb_relative_information_score: 0.738, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9432, kappa: 0.8601, kb_relative_information_score: 0.738, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.9108, kappa: 0.7805, kb_relative_information_score: 0.7614, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9106, predictive_accuracy: 0.9113, prior_entropy: 0.863, recall: 0.9113, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.9108, kappa: 0.7805, kb_relative_information_score: 0.7614, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9106, predictive_accuracy: 0.9113, prior_entropy: 0.863, recall: 0.9113, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9682, kappa: 0.9222, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9682, kappa: 0.9222, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9659, kappa: 0.9165, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9659, kappa: 0.9165, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 0.878, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 0.878, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.6792, kappa: 0.2101, kb_relative_information_score: 0.1522, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6777, predictive_accuracy: 0.6809, prior_entropy: 0.863, recall: 0.6809, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.6792, kappa: 0.2101, kb_relative_information_score: 0.1522, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6777, predictive_accuracy: 0.6809, prior_entropy: 0.863, recall: 0.6809, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 0.87, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 0.87, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9268, kappa: 0.8207, kb_relative_information_score: 0.7969, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9268, kappa: 0.8207, kb_relative_information_score: 0.7969, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.976, kappa: 0.941, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.976, prior_entropy: 0.863, recall: 0.976, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.976, kappa: 0.941, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.976, prior_entropy: 0.863, recall: 0.976, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3205,
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: 0.951, 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: 0.9953, 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: 0.995, 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: 0.9846, 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: 0.9846, 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: 0.9371, 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: 0.995, 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: 0.995, 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: 0.4999, 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: 0.4999, 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: 0.994, 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: 0.9943, f_measure: 0.9696, kappa: 0.9254, kb_relative_information_score: 0.915, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9696, kappa: 0.9254, kb_relative_information_score: 0.915, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9393, kb_relative_information_score: 0.9185, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9393, kb_relative_information_score: 0.9185, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9258, kappa: 0.8154, kb_relative_information_score: 0.6694, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9258, kappa: 0.8154, kb_relative_information_score: 0.6694, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5126,

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