Task
Supervised Classification on AP_Breast_Kidney

Supervised Classification on AP_Breast_Kidney

Task 3992 Supervised Classification AP_Breast_Kidney 199 runs submitted
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  • mythbusting_1 slow study_123 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 538.5406, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9453, kappa: 0.8883, kb_relative_information_score: 526.9788, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9454, predictive_accuracy: 0.9454, prior_entropy: 0.9861, recall: 0.9454, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 538.385, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9685, kappa: 0.9356, kb_relative_information_score: 534.923, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9785, kappa: 0.9561, kb_relative_information_score: 577.2078, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 0.9861, recall: 0.9785, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9619, kappa: 0.9224, kb_relative_information_score: 538.3637, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9504, kappa: 0.8988, kb_relative_information_score: 540.3829, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9504, predictive_accuracy: 0.9503, prior_entropy: 0.9861, recall: 0.9503, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4426, scimark_benchmark: 1150.4212, usercpu_time_millis: 4210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4133, kb_relative_information_score: -0.0609, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.3244, predictive_accuracy: 0.5695, prior_entropy: 0.9861, recall: 0.5695, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4951, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9718, kappa: 0.9424, kb_relative_information_score: 520.2104, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9387, kappa: 0.8748, kb_relative_information_score: 527.8498, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9387, predictive_accuracy: 0.9387, prior_entropy: 0.9861, recall: 0.9387, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9686, kappa: 0.9359, kb_relative_information_score: 564.8683, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4133, kb_relative_information_score: -0.0253, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.3244, predictive_accuracy: 0.5695, prior_entropy: 0.9861, recall: 0.5695, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4951, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9652, kappa: 0.9288, kb_relative_information_score: 562.4588, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9471, kappa: 0.8923, kb_relative_information_score: 536.8493, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9473, predictive_accuracy: 0.947, prior_entropy: 0.9861, recall: 0.947, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 571.038, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9861, recall: 0.9735, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 557.0632, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.2591, kb_relative_information_score: -34.1996, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.1853, predictive_accuracy: 0.4305, prior_entropy: 0.9861, recall: 0.4305, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9619, kappa: 0.9222, kb_relative_information_score: 555.0939, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.4878, kappa: 0.0067, kb_relative_information_score: -20.8933, mean_absolute_error: 0.5019, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.5133, predictive_accuracy: 0.4901, prior_entropy: 0.9861, recall: 0.4901, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9719, kappa: 0.9426, kb_relative_information_score: 565.3233, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9602, kappa: 0.9186, kb_relative_information_score: 537.4363, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9606, predictive_accuracy: 0.9603, prior_entropy: 0.9861, recall: 0.9603, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9785, kappa: 0.956, kb_relative_information_score: 560.7239, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 0.9861, recall: 0.9785, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9453, kappa: 0.8884, kb_relative_information_score: 533.7432, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9453, predictive_accuracy: 0.9454, prior_entropy: 0.9861, recall: 0.9454, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9718, kappa: 0.9424, kb_relative_information_score: 568.9815, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9718, kappa: 0.9425, kb_relative_information_score: 567.4513, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9718, kappa: 0.9424, kb_relative_information_score: 550.6953, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9722, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9652, kappa: 0.9288, kb_relative_information_score: 541.65, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9685, kappa: 0.9358, kb_relative_information_score: 562.6456, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9718, kappa: 0.9425, kb_relative_information_score: 569.1934, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9635, kappa: 0.9256, kb_relative_information_score: 552.1603, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9586, kappa: 0.9154, kb_relative_information_score: 538.9972, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9861, recall: 0.9586, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4665, kappa: -0.0019, kb_relative_information_score: 50.722, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.5076, predictive_accuracy: 0.5546, prior_entropy: 0.9861, recall: 0.5546, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6674, root_relative_squared_error: 1.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.4975, kappa: 0.0025, kb_relative_information_score: -12.0072, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.5113, predictive_accuracy: 0.543, prior_entropy: 0.9861, recall: 0.543, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9702, kappa: 0.9392, kb_relative_information_score: 558.1656, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9454, kappa: 0.8889, kb_relative_information_score: 530.2508, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9458, predictive_accuracy: 0.9454, prior_entropy: 0.9861, recall: 0.9454, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9768, kappa: 0.9526, kb_relative_information_score: 532.1812, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 0.9861, recall: 0.9768, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9801, kappa: 0.9594, kb_relative_information_score: 531.6718, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9861, recall: 0.9801, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.151, root_relative_squared_error: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9768, kappa: 0.9526, kb_relative_information_score: 529.0391, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 0.9861, recall: 0.9768, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9785, kappa: 0.956, kb_relative_information_score: 527.5723, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 0.9861, recall: 0.9785, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.152, root_relative_squared_error: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9685, kappa: 0.9357, kb_relative_information_score: 502.631, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9768, kappa: 0.9526, kb_relative_information_score: 523.447, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 0.9861, recall: 0.9768, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9751, kappa: 0.9492, kb_relative_information_score: 522.1344, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9861, recall: 0.9752, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9751, kappa: 0.9492, kb_relative_information_score: 516.4836, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9861, recall: 0.9752, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9685, kappa: 0.9357, kb_relative_information_score: 555.4175, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 555.1627, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9685, kappa: 0.9356, kb_relative_information_score: 539.3259, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9718, kappa: 0.9425, kb_relative_information_score: 511.3342, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 540.5866, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9861, recall: 0.9735, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9718, kappa: 0.9424, kb_relative_information_score: 512.882, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9685, kappa: 0.9357, kb_relative_information_score: 506.4855, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4133, kb_relative_information_score: -0.0253, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.3244, predictive_accuracy: 0.5695, prior_entropy: 0.9861, recall: 0.5695, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4951, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.952, kappa: 0.9021, kb_relative_information_score: 522.5753, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9861, recall: 0.952, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9718, kappa: 0.9425, kb_relative_information_score: 500.5083, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9735, kappa: 0.9458, kb_relative_information_score: 491.4837, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9738, predictive_accuracy: 0.9735, prior_entropy: 0.9861, recall: 0.9735, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.9238, kappa: 0.8445, kb_relative_information_score: 508.7546, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9238, predictive_accuracy: 0.9238, prior_entropy: 0.9861, recall: 0.9238, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 484.2423, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9718, kappa: 0.9424, kb_relative_information_score: 473.1493, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.972, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9324, kappa: 0.8635, kb_relative_information_score: 475.9818, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9376, predictive_accuracy: 0.9321, prior_entropy: 0.9861, recall: 0.9321, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 538.7964, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 536.8222, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 536.8222, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 538.7964, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9652, kappa: 0.9288, kb_relative_information_score: 560.173, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 538.7964, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 544.4348, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 538.7964, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 538.7964, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9586, kappa: 0.9155, kb_relative_information_score: 535.7598, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9861, recall: 0.9586, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 571.038, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9861, recall: 0.9735, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9569, kappa: 0.9121, kb_relative_information_score: 535.7576, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.9861, recall: 0.957, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.952, kappa: 0.9022, kb_relative_information_score: 534.9707, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 0.9861, recall: 0.952, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 553.9334, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9487, kappa: 0.8955, kb_relative_information_score: 534.4398, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9488, predictive_accuracy: 0.9487, prior_entropy: 0.9861, recall: 0.9487, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9503, kappa: 0.8987, kb_relative_information_score: 542.2459, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.9861, recall: 0.9503, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9652, kappa: 0.9289, kb_relative_information_score: 558.0915, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9654, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9652, kappa: 0.9291, kb_relative_information_score: 559.3146, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9454, kappa: 0.8886, kb_relative_information_score: 534.5391, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9454, predictive_accuracy: 0.9454, prior_entropy: 0.9861, recall: 0.9454, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9718, kappa: 0.9426, kb_relative_information_score: 568.7363, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9718, predictive_accuracy: 0.9719, prior_entropy: 0.9861, recall: 0.9719, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4133, kb_relative_information_score: -18.3375, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.3244, predictive_accuracy: 0.5695, prior_entropy: 0.9861, recall: 0.5695, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 555.144, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9668, kappa: 0.9323, kb_relative_information_score: 439.2106, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.967, predictive_accuracy: 0.9669, prior_entropy: 0.9861, recall: 0.9669, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9751, kappa: 0.9492, kb_relative_information_score: 499.1304, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9861, recall: 0.9752, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9471, kappa: 0.8923, kb_relative_information_score: 538.3913, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9473, predictive_accuracy: 0.947, prior_entropy: 0.9861, recall: 0.947, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9685, kappa: 0.9358, kb_relative_information_score: 564.8683, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.5222, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9701, kappa: 0.939, kb_relative_information_score: 498.7899, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9704, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9602, kappa: 0.9187, kb_relative_information_score: 534.0059, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9604, predictive_accuracy: 0.9603, prior_entropy: 0.9861, recall: 0.9603, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 571.038, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9861, recall: 0.9735, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.2077, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 539.9531, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9602, kappa: 0.9187, kb_relative_information_score: -5.2869, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9604, predictive_accuracy: 0.9603, prior_entropy: 0.9861, recall: 0.9603, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 548.4383, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 554.6804, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.9861, recall: 0.9702, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 537.5947, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 534.486, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9351, kappa: 0.8671, kb_relative_information_score: 485.7784, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9366, predictive_accuracy: 0.9354, prior_entropy: 0.9861, recall: 0.9354, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9685, kappa: 0.9357, kb_relative_information_score: 554.6772, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4133, kb_relative_information_score: 69.2312, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.3244, predictive_accuracy: 0.5695, prior_entropy: 0.9861, recall: 0.5695, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6561, root_relative_squared_error: 1.3251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.957, kappa: 0.9122, kb_relative_information_score: 550.4722, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9861, recall: 0.957, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9652, kappa: 0.9288, kb_relative_information_score: -9.4561, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9655, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9997,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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