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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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: 0.9808, f_measure: 0.9719, kappa: 0.9426, kb_relative_information_score: 562.1793, mean_absolute_error: 0.036, 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: 0.0735, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3247, scimark_benchmark: 1274.3596, usercpu_time_millis: 1226430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1226380,
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: 0.9921, 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: 0.9682, 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: 0.9725, 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: 1316.6644, usercpu_time_millis: 983230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 983210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9619, kappa: 0.9224, kb_relative_information_score: 555.8043, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9861, recall: 0.9619, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3939, scimark_benchmark: 1324.9221, usercpu_time_millis: 1002340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1002310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4676, kappa: 0.0013, kb_relative_information_score: -10.9651, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.5111, predictive_accuracy: 0.5563, prior_entropy: 0.9861, recall: 0.5563, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0046, scimark_benchmark: 1202.0705, usercpu_time_millis: 595140, usercpu_time_millis_testing: 109750, usercpu_time_millis_training: 485390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9735, kappa: 0.9459, kb_relative_information_score: 571.0009, 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: 0.0541, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3243, scimark_benchmark: 1473.2583, usercpu_time_millis: 207400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 207390,
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: 0.9819, 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: 0.9638, 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: 0.5, 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: 0.4991, 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: 0.7595, f_measure: 0.6958, kappa: 0.3805, kb_relative_information_score: 146.2478, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.6963, predictive_accuracy: 0.6954, prior_entropy: 0.9861, recall: 0.6954, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.898, usercpu_time_millis: 24.484, usercpu_time_millis_testing: 3.076, usercpu_time_millis_training: 21.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9553, kappa: 0.9089, kb_relative_information_score: 539.1697, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4904, number_of_instances: 604, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.9861, recall: 0.9553, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.398, usercpu_time_millis: 230.036, usercpu_time_millis_testing: 87.545, usercpu_time_millis_training: 142.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9751, kappa: 0.9493, kb_relative_information_score: 547.8419, mean_absolute_error: 0.0518, 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: 0.1057, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3022, usercpu_time_millis: 25.726, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 24.142,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9785, kappa: 0.956, kb_relative_information_score: 523.6298, mean_absolute_error: 0.0769, 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: 0.1568, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3096, usercpu_time_millis: 49.932, usercpu_time_millis_testing: 5.769, usercpu_time_millis_training: 44.163,
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,
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: 0.9523, f_measure: 0.9603, kappa: 0.9192, kb_relative_information_score: 546.9179, mean_absolute_error: 0.0483, 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: 0.0985, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.391, scimark_benchmark: 1118.4422, usercpu_time_millis: 14800, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 14760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9702, kappa: 0.9392, 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: 676.9331, usercpu_time_millis: 18650, usercpu_time_millis_testing: 5010, usercpu_time_millis_training: 13640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9503, kappa: 0.8986, kb_relative_information_score: 540.3829, mean_absolute_error: 0.0518, 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: 0.1056, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4426, scimark_benchmark: 1009.0562, usercpu_time_millis: 6900, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9768, kappa: 0.9526, kb_relative_information_score: 510.4408, mean_absolute_error: 0.09, 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: 0.1835, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3231, scimark_benchmark: 608.9446, usercpu_time_millis: 5360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9718, kappa: 0.9426, kb_relative_information_score: 568.2172, mean_absolute_error: 0.0289, 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: 0.0589, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.335, scimark_benchmark: 1072.058, usercpu_time_millis: 1232650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1232640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9652, kappa: 0.9288, kb_relative_information_score: 535.8316, mean_absolute_error: 0.0625, 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: 0.1275, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3696, scimark_benchmark: 718.2631, usercpu_time_millis: 5570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5540,
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: 0.5, 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: 0.9914, 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: 0.9638, 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: 0.5, 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,
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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: 0.4965, 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: 0.992, 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: 0.9457, 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: 0.9891, 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: 0.992, 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: 0.975, 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: 0.9905, 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: 0.9907, 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: 0.9316, 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: 0.9894, 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: 0.9914, 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: 0.9924, 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: 0.9909, 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: 0.9929, 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: 0.9922, 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: 0.9797, 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: 0.9885, 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: 0.5039, 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: 0.9906, 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,

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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Download this task directly in your environment and automatically upload your results

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

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