OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 133.6935, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4117, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4165, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4062, scimark_benchmark: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5304, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3315, scimark_benchmark: 1913.1069, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 118.8657, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4125, scimark_benchmark: 1913.1069, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.9796, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3728, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.4919, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825, scimark_benchmark: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.2136, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3973, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 134.5669, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3861, scimark_benchmark: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 139.2788, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3887, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.7511, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4207, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 137.8664, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4159, scimark_benchmark: 1913.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.145, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0726, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3758, scimark_benchmark: 1913.1069, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.5813, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3445, scimark_benchmark: 1913.1069, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.0615, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3151, scimark_benchmark: 1905.1573, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.2208, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3492, scimark_benchmark: 1905.1573, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 129.7312, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.6547, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3367, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 134.6187, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.336, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4165, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4062, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1905.1573, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.5146, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3476, scimark_benchmark: 1905.1573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 136.0634, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3976, scimark_benchmark: 1905.1573, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9532, kappa: 0.93, kb_relative_information_score: 88.0364, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9562, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5986, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.2003, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.357, scimark_benchmark: 1905.1573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.4165, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4062, scimark_benchmark: 1905.1573, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.4354, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4, scimark_benchmark: 1905.1573, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 127.2495, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4424, scimark_benchmark: 1905.1573, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.108, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2867, scimark_benchmark: 1905.1573, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7302, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2847, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.815, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3293, scimark_benchmark: 1905.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.468, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 1905.1573, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.4016, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2825, scimark_benchmark: 1905.1573, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.5172, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3705, scimark_benchmark: 1976.5445, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 128.8177, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3323, scimark_benchmark: 1976.5445, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9531, kappa: 0.93, kb_relative_information_score: 137.5317, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3257, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 135.7487, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3769, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 141.8591, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2716, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.611, kappa: 0.54, kb_relative_information_score: 86.7474, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8403, predictive_accuracy: 0.6933, prior_entropy: 1.585, recall: 0.6933, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.7049, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.6256, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3441, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.3211, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3818, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.009, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.353, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.0058, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3408, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 142.2958, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.325, scimark_benchmark: 1976.5445, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 138.6784, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.394, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 143.8387, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.29, scimark_benchmark: 1976.5445, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.5755, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.343, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.7805, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3128, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.9394, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3609, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.7185, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.271, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1976.5445, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1976.5445, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.7771, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3323, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7302, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2847, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 136.1724, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3333, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 133.5712, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9204, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4899, scimark_benchmark: 1976.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1976.5445, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469, usercpu_time_millis: 32.68, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 32.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.8851, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.2016, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.2016, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4389, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.24, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.8594, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.1211, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.0246, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4276, scimark_benchmark: 2032.0829, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of line, read Token[EOL], line 14
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469, usercpu_time_millis: 40.79, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 40.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469, usercpu_time_millis: 40.79, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 40.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1.5, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7393, kappa: 0.61, kb_relative_information_score: 96.6063, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7405, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8832, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 2.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7393, kappa: 0.61, kb_relative_information_score: 96.6063, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7405, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8832, usercpu_time_millis: 2.57, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7393, kappa: 0.61, kb_relative_information_score: 96.6063, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7405, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8832, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881, scimark_benchmark: 1858.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265, scimark_benchmark: 1858.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265, scimark_benchmark: 1858.5835, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.072, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.051, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.027, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.152, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1.5, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, scimark_benchmark: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.013, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 132.8763, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,

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