OpenML
Supervised Classification on transplant

Supervised Classification on transplant

Task 4453 Supervised Classification transplant 242 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

242 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1272.4287, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1607, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9786, kb_relative_information_score: 1094.2831, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3266, scimark_benchmark: 1308.685, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1266.6823, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2043, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1272.4287, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1607, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9786, kb_relative_information_score: 1094.2831, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3266, scimark_benchmark: 1332.9478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 1322.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1263.5695, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1817, scimark_benchmark: 1332.6745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.987, kappa: 0.9721, kb_relative_information_score: 1269.9875, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 0.9495, recall: 0.987, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.1925, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0155, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9848, kappa: 0.9673, kb_relative_information_score: 1186.8428, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.985, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 1367.3264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9255, kappa: 0.8372, kb_relative_information_score: 1097.3696, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9345, predictive_accuracy: 0.9275, prior_entropy: 0.9495, recall: 0.9275, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5589, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9255, kappa: 0.8372, kb_relative_information_score: 1097.3696, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9345, predictive_accuracy: 0.9275, prior_entropy: 0.9495, recall: 0.9275, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5589, scimark_benchmark: 1338.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1266.6823, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2043, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1329.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1272.4287, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1607, scimark_benchmark: 1318.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1321.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9909, kappa: 0.9804, kb_relative_information_score: 1246.2736, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9911, predictive_accuracy: 0.9908, prior_entropy: 0.9495, recall: 0.9908, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1856, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0155, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 1331.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1263.5695, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1817, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9255, kappa: 0.8372, kb_relative_information_score: 1097.3696, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9345, predictive_accuracy: 0.9275, prior_entropy: 0.9495, recall: 0.9275, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5589, scimark_benchmark: 1310.9968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1263.5695, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1817, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1360.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1263.5695, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1817, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1263.5695, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1817, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9839, kappa: 0.9652, kb_relative_information_score: 1263.7155, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9495, recall: 0.984, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.201, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9855, kappa: 0.9688, kb_relative_information_score: 1239.2867, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2139, scimark_benchmark: 1342.6911, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0155, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 892.0148, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9794, kappa: 0.9557, kb_relative_information_score: 1248.0255, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 0.9495, recall: 0.9794, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.298, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1228.1932, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2113, scimark_benchmark: 1342.2985, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1226.7918, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2131, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9893, kappa: 0.9771, kb_relative_information_score: 1227.6884, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.9495, recall: 0.9893, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2144, scimark_benchmark: 1347.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1229.3963, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2076, scimark_benchmark: 943.1756, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0155, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1272.2873, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1561, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1168.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1271.8523, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1561, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 833.3193, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9878, kappa: 0.9739, kb_relative_information_score: 1109.7599, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9881, predictive_accuracy: 0.9878, prior_entropy: 0.9495, recall: 0.9878, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2862, scimark_benchmark: 855.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9063, kappa: 0.796, kb_relative_information_score: 1039.7658, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9087, predictive_accuracy: 0.9076, prior_entropy: 0.9495, recall: 0.9076, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6308, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9825, kappa: 0.9622, kb_relative_information_score: 1256.8876, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 0.9495, recall: 0.9824, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.275, scimark_benchmark: 1328.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 1282.166, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.152, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9823, kappa: 0.9618, kb_relative_information_score: 717.1515, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9829, predictive_accuracy: 0.9824, prior_entropy: 0.9495, recall: 0.9824, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5602, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1252.7565, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1824, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.99, kappa: 0.9785, kb_relative_information_score: 1278.3988, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2068, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0155, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 1332.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.662, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9519, kappa: 0.8965, kb_relative_information_score: 1149.2697, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9495, recall: 0.9519, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4536, scimark_benchmark: 1284.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9519, kappa: 0.8965, kb_relative_information_score: 1149.2697, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9495, recall: 0.9519, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4536, scimark_benchmark: 1326.014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9678, kappa: 0.9303, kb_relative_information_score: 1184.8464, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 0.9495, recall: 0.9679, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3109, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9685, kappa: 0.932, kb_relative_information_score: 1197.3668, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9495, recall: 0.9687, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2899, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9954, kappa: 0.9902, kb_relative_information_score: 1294.5516, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9955, predictive_accuracy: 0.9954, prior_entropy: 0.9495, recall: 0.9954, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.1405, scimark_benchmark: 1360.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9855, kappa: 0.9689, kb_relative_information_score: 1263.6128, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2468, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9825, kappa: 0.9622, kb_relative_information_score: 1240.8585, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 0.9495, recall: 0.9824, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.2732, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1253.3375, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1824, scimark_benchmark: 1344.3348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0429, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1279.0155, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2067, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1282.1906, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1396, scimark_benchmark: 1366.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1338.01, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.987, kappa: 0.9721, kb_relative_information_score: 1261.8232, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 0.9495, recall: 0.987, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.1745, scimark_benchmark: 912.7324, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4705, f_measure: 0.4915, kb_relative_information_score: -2.023, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0005, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9832, kappa: 0.9639, kb_relative_information_score: 1259.1031, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9495, recall: 0.9832, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.269, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9924, kappa: 0.9835, kb_relative_information_score: 1285.6894, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1270.4227, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2058, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9685, kappa: 0.932, kb_relative_information_score: 1187.1412, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9495, recall: 0.9687, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3066, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9685, kb_relative_information_score: 1263.128, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9858, predictive_accuracy: 0.9855, prior_entropy: 0.9495, recall: 0.9855, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.202, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.9639, kb_relative_information_score: 1220.8882, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9495, recall: 0.9832, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.224, scimark_benchmark: 1330.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1271.5443, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.1638, scimark_benchmark: 887.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.9787, kb_relative_information_score: 1271.7809, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4648, number_of_instances: 1310, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.9495, recall: 0.9901, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1629, scimark_benchmark: 924.3698,

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