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: 0.9687, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.9249, mean_absolute_error: 0.0298, 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: 0.0608, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 564.5337, mean_absolute_error: 0.032, 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: 0.0653, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9735, kappa: 0.9458, kb_relative_information_score: 571.038, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9736, 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: 0.9884, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 564.5337, mean_absolute_error: 0.032, 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: 0.0653, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.9249, mean_absolute_error: 0.0298, 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: 0.0608, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.9249, mean_absolute_error: 0.0298, 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: 0.0608, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.9249, mean_absolute_error: 0.0298, 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: 0.0608, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3486,
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: 0.9893, 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: 0.985, 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: 0.9677, 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: 0.9802, 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: 0.9774, 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: 0.9487, 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: 0.9848, 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: 0.9494, 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: 0.9753, 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: 0.9922, 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: 0.5, 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: 0.9804, 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: 0.9907, 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: 0.4965, 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: 0.9557, f_measure: 0.9601, kappa: 0.9183, kb_relative_information_score: 554.5854, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9613, predictive_accuracy: 0.9603, prior_entropy: 0.9861, recall: 0.9603, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.929, kappa: 0.8558, kb_relative_information_score: 515.5102, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9304, predictive_accuracy: 0.9288, prior_entropy: 0.9861, recall: 0.9288, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5389,
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: 0.9561, f_measure: 0.9585, kappa: 0.9153, kb_relative_information_score: 552.5288, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9587, predictive_accuracy: 0.9586, prior_entropy: 0.9861, recall: 0.9586, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9618, kappa: 0.922, kb_relative_information_score: 556.642, mean_absolute_error: 0.0381, 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: 0.0777, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3941,
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: 0.8741, f_measure: 0.8774, kappa: 0.7497, kb_relative_information_score: 451.7561, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 0.9861, recall: 0.8775, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.962, kappa: 0.9226, kb_relative_information_score: 556.5131, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9623, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4133, kb_relative_information_score: 12.8481, mean_absolute_error: 0.4816, 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: 0.9822, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9668, kappa: 0.9322, kb_relative_information_score: 563.4921, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9671, predictive_accuracy: 0.9669, prior_entropy: 0.9861, recall: 0.9669, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9718, kappa: 0.9426, kb_relative_information_score: 568.9815, mean_absolute_error: 0.0281, 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: 0.0574, 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: 0.9678, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 561.9094, mean_absolute_error: 0.0367, 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: 0.0749, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3263,
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,
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: 0.9687, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 566.9249, mean_absolute_error: 0.0298, 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: 0.0608, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3486,
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: 0.5, 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: 0.9457, 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: 0.9764, 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: 0.959, f_measure: 0.9652, kappa: 0.9291, kb_relative_information_score: 558.82, mean_absolute_error: 0.0369, 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: 0.0753, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 534.6241, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 0.9861, recall: 0.9636, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.378,
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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9702, kappa: 0.9393, kb_relative_information_score: 566.9249, mean_absolute_error: 0.0298, 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: 0.0608, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3486, scimark_benchmark: 994.468, usercpu_time_millis: 16830, usercpu_time_millis_testing: 4010, usercpu_time_millis_training: 12820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 570.9655, mean_absolute_error: 0.0266, 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: 0.0542, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3246, scimark_benchmark: 1386.5698, usercpu_time_millis: 233020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 232980,
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, scimark_benchmark: 1455.6269, usercpu_time_millis: 9350, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 9230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9587, kappa: 0.9159, kb_relative_information_score: 551.9348, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9592, predictive_accuracy: 0.9586, prior_entropy: 0.9861, recall: 0.9586, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4047, scimark_benchmark: 1337.9008, usercpu_time_millis: 248480, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 248330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 535.6899, mean_absolute_error: 0.0621, 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: 0.1266, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3736, scimark_benchmark: 874.0363, usercpu_time_millis: 5830, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9718, kappa: 0.9424, kb_relative_information_score: 507.3182, mean_absolute_error: 0.0926, 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: 0.1887, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3344, scimark_benchmark: 939.1603, usercpu_time_millis: 5690, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9587, kappa: 0.9159, kb_relative_information_score: 551.8854, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9592, predictive_accuracy: 0.9586, prior_entropy: 0.9861, recall: 0.9586, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.405, scimark_benchmark: 1130.2164, usercpu_time_millis: 265620, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 265420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9719, kappa: 0.9427, kb_relative_information_score: 568.9815, mean_absolute_error: 0.0281, 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: 0.0574, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3388, scimark_benchmark: 986.3772, usercpu_time_millis: 7510, usercpu_time_millis_testing: 3840, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.952, kappa: 0.9021, kb_relative_information_score: 534.5693, mean_absolute_error: 0.0588, 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: 0.1198, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4374, scimark_benchmark: 974.8835, usercpu_time_millis: 1437710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1437690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.4133, kb_relative_information_score: -9.9577, mean_absolute_error: 0.4955, 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: 1.0104, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0033, scimark_benchmark: 1098.0562, usercpu_time_millis: 473280, usercpu_time_millis_testing: 103930, usercpu_time_millis_training: 369350,
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, scimark_benchmark: 1382.3804, usercpu_time_millis: 19160, usercpu_time_millis_testing: 17140, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.4133, kb_relative_information_score: -9.9749, mean_absolute_error: 0.4955, 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: 1.0104, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0033, scimark_benchmark: 1272.6577, usercpu_time_millis: 428660, usercpu_time_millis_testing: 110660, usercpu_time_millis_training: 318000,
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, scimark_benchmark: 1232.0118, usercpu_time_millis: 12620, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 12380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9752, kappa: 0.9493, kb_relative_information_score: 573.0946, mean_absolute_error: 0.0248, 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: 0.0506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3183, scimark_benchmark: 1345.63, usercpu_time_millis: 3770, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9752, kappa: 0.9493, kb_relative_information_score: 573.0946, mean_absolute_error: 0.0248, 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: 0.0506, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3183, scimark_benchmark: 1347.9368, usercpu_time_millis: 4250, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 4050,

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

OpenML bootcamp

From your own software

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

OpenML APIs