OpenML
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: 0.5, 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: 0.9591, 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: 0.9561, 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: 0.9309, 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: 0.9557, 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: 0.9678, 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: 0.4965, 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: 0.9641, 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: 0.9711, 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: 0.9817, 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: 0.4965, 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: 0.959, 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: 0.9687, 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: 0.9457, 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: 0.8741, 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: 0.4965, 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: 0.9615, 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: 0.9687, 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: 0.9716, 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: 0.9716, 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: 0.9901, f_measure: 0.9785, kappa: 0.9561, kb_relative_information_score: 559.535, mean_absolute_error: 0.0399, 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: 0.0813, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9652, kappa: 0.929, kb_relative_information_score: 560.7551, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3766, scimark_benchmark: 1922.3298, usercpu_time_millis: 17359.375, usercpu_time_millis_testing: 8859.375, usercpu_time_millis_training: 8500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9669, kappa: 0.9324, kb_relative_information_score: 562.8117, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9669, predictive_accuracy: 0.9669, prior_entropy: 0.9861, recall: 0.9669, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3675, scimark_benchmark: 1922.3298, usercpu_time_millis: 17734.375, usercpu_time_millis_testing: 9093.75, usercpu_time_millis_training: 8640.625,
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, scimark_benchmark: 1922.3298, usercpu_time_millis: 59562.5, usercpu_time_millis_testing: 26093.75, usercpu_time_millis_training: 33468.75,
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, scimark_benchmark: 1280.301, usercpu_time_millis: 59437.5, usercpu_time_millis_testing: 30562.5, usercpu_time_millis_training: 28875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9801, kappa: 0.9594, kb_relative_information_score: 518.7, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9861, recall: 0.9801, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3176, scimark_benchmark: 930.1844, usercpu_time_millis: 28000, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 27330,
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, scimark_benchmark: 1818.0948, usercpu_time_millis: 4670, usercpu_time_millis_testing: 2940, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9602, kappa: 0.9188, kb_relative_information_score: 535.2976, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9861, recall: 0.9603, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3976, scimark_benchmark: 946.6366, usercpu_time_millis: 7050, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 6420,
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, scimark_benchmark: 1380.8455, usercpu_time_millis: 102820, usercpu_time_millis_testing: 53070, usercpu_time_millis_training: 49750,
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, scimark_benchmark: 1646.7789, usercpu_time_millis: 109540, usercpu_time_millis_testing: 33750, usercpu_time_millis_training: 75790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9652, kappa: 0.929, kb_relative_information_score: 560.7551, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3766, scimark_benchmark: 1704.9493, usercpu_time_millis: 26990, usercpu_time_millis_testing: 12970, usercpu_time_millis_training: 14020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9669, kappa: 0.9324, kb_relative_information_score: 562.8117, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9669, predictive_accuracy: 0.9669, prior_entropy: 0.9861, recall: 0.9669, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3675, scimark_benchmark: 1653.1864, usercpu_time_millis: 28710, usercpu_time_millis_testing: 13980, usercpu_time_millis_training: 14730,
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, scimark_benchmark: 1696.3817, usercpu_time_millis: 404950, usercpu_time_millis_testing: 82660, usercpu_time_millis_training: 322290,
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, usercpu_time_millis: 613.689, usercpu_time_millis_testing: 273.879, usercpu_time_millis_training: 339.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9668, kappa: 0.9321, kb_relative_information_score: 528.3825, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9675, predictive_accuracy: 0.9669, prior_entropy: 0.9861, recall: 0.9669, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3404, usercpu_time_millis: 680.656, usercpu_time_millis_testing: 89.733, usercpu_time_millis_training: 590.923,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9768, kappa: 0.9526, kb_relative_information_score: 551.4561, mean_absolute_error: 0.0457, 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: 0.0932, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3303, usercpu_time_millis: 299.639, usercpu_time_millis_testing: 297.605, usercpu_time_millis_training: 2.034,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9651, kappa: 0.9287, kb_relative_information_score: 564.1647, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9657, predictive_accuracy: 0.9652, prior_entropy: 0.9861, recall: 0.9652, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3285, scimark_benchmark: 1390.1965, usercpu_time_millis: 991000, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 990440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9551, kappa: 0.908, kb_relative_information_score: 553.9236, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9568, predictive_accuracy: 0.9553, prior_entropy: 0.9861, recall: 0.9553, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3532, scimark_benchmark: 1384.1263, usercpu_time_millis: 35890, usercpu_time_millis_testing: 35880, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9751, kappa: 0.9492, kb_relative_information_score: 563.7257, mean_absolute_error: 0.0344, 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: 0.0702, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3045, scimark_benchmark: 1497.8288, usercpu_time_millis: 920750, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 920140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9751, kappa: 0.9493, kb_relative_information_score: 564.3447, mean_absolute_error: 0.0335, 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: 0.0682, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3126, scimark_benchmark: 1467.3476, usercpu_time_millis: 940190, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 939570,
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, scimark_benchmark: 1133.1177, usercpu_time_millis: 1016680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1016650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9635, kappa: 0.9254, kb_relative_information_score: 537.6126, mean_absolute_error: 0.06, 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: 0.1223, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3746, scimark_benchmark: 1498.5341, usercpu_time_millis: 921940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 921930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, 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: 0.9703, 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: 1325.5309, usercpu_time_millis: 982740, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 982660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9801, kappa: 0.9594, kb_relative_information_score: 541.9334, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9861, recall: 0.9801, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2942, scimark_benchmark: 1388.3391, usercpu_time_millis: 993270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 993240,
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, scimark_benchmark: 1359.6125, usercpu_time_millis: 1076270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1076190,
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, scimark_benchmark: 1209.9365, usercpu_time_millis: 1119760, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1119450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9685, kappa: 0.9355, kb_relative_information_score: 547.692, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.969, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3353, scimark_benchmark: 1362.2394, usercpu_time_millis: 58080, usercpu_time_millis_testing: 58080,
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, scimark_benchmark: 1328.6933, usercpu_time_millis: 1088860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1088840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9685, kappa: 0.9356, kb_relative_information_score: 549.3207, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 0.9861, recall: 0.9685, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3384, scimark_benchmark: 1372.7141, usercpu_time_millis: 51860, usercpu_time_millis_testing: 51860,
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: 1020.0184, usercpu_time_millis: 1530, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9587, kappa: 0.9159, kb_relative_information_score: 552.0269, 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: 0.0852, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4046, scimark_benchmark: 1497.0166, usercpu_time_millis: 175060, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 174970,
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: 1070.7117, usercpu_time_millis: 7510, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 7350,
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, scimark_benchmark: 648.3133, usercpu_time_millis: 6450, usercpu_time_millis_testing: 5020, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.957, kappa: 0.9122, kb_relative_information_score: 544.0205, mean_absolute_error: 0.0506, 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: 0.1031, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4015, scimark_benchmark: 1017.7524, usercpu_time_millis: 14100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14080,
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, scimark_benchmark: 863.9662, usercpu_time_millis: 17220, usercpu_time_millis_testing: 4660, usercpu_time_millis_training: 12560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9702, kappa: 0.9391, kb_relative_information_score: 504.823, mean_absolute_error: 0.0952, 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: 0.1941, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3327, scimark_benchmark: 985.4718, usercpu_time_millis: 2170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2130,
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, scimark_benchmark: 1027.1111, usercpu_time_millis: 2260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2200,
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: 1096.4032, usercpu_time_millis: 27230, usercpu_time_millis_testing: 27230,
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, scimark_benchmark: 1211.4335, usercpu_time_millis: 4140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4130,

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