Task
Supervised Classification on iris

Supervised Classification on iris

Task 1939 Supervised Classification iris 394 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9515, kappa: 0.927, kb_relative_information_score: 1400.4155, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9517, predictive_accuracy: 0.9513, prior_entropy: 1.585, recall: 0.9513, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3753, scimark_benchmark: 1913.9175, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1452.0825, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646, scimark_benchmark: 941.3142, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9313, kappa: 0.897, kb_relative_information_score: 1367.2444, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 1.585, recall: 0.9313, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3785, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9487, kappa: 0.923, kb_relative_information_score: 1365.5097, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 1.585, recall: 0.9487, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3317, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1384.5069, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3377, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1452.0825, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.909, kb_relative_information_score: 1349.3986, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 1.585, recall: 0.9393, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717, scimark_benchmark: 936.3373, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1384.5069, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3377, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9347, kappa: 0.902, kb_relative_information_score: 1329.6357, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9347, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4242, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1452.0825, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9487, kappa: 0.923, kb_relative_information_score: 1365.5097, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 1.585, recall: 0.9487, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3317, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.909, kb_relative_information_score: 1349.3986, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 1.585, recall: 0.9393, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717, scimark_benchmark: 936.3213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1384.5069, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3377, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9567, kappa: 0.935, kb_relative_information_score: 1372.4345, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 1.585, recall: 0.9567, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.292, scimark_benchmark: 944.0133, usercpu_time_millis: 470, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9587, kappa: 0.938, kb_relative_information_score: 1371.342, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 1.585, recall: 0.9587, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.2933, scimark_benchmark: 934.7923, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9573, kappa: 0.936, kb_relative_information_score: 1371.1737, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 1.585, recall: 0.9573, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.141, root_relative_squared_error: 0.2992, scimark_benchmark: 931.6751, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9554, kappa: 0.933, kb_relative_information_score: 1367.1525, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9554, predictive_accuracy: 0.9553, prior_entropy: 1.585, recall: 0.9553, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3105, scimark_benchmark: 942.5233, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9547, kappa: 0.932, kb_relative_information_score: 1368.6704, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 1.585, recall: 0.9547, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3122, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0007, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, 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: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9473, kappa: 0.921, kb_relative_information_score: 1390.3048, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9476, predictive_accuracy: 0.9473, prior_entropy: 1.585, recall: 0.9473, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3868, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1390.4161, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9462, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.385, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.948, kappa: 0.922, kb_relative_information_score: 1390.4893, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 1.585, recall: 0.948, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3753, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.944, kappa: 0.916, kb_relative_information_score: 1378.6396, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9442, predictive_accuracy: 0.944, prior_entropy: 1.585, recall: 0.944, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3846, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.934, kappa: 0.901, kb_relative_information_score: 1279.4716, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.585, recall: 0.934, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4367, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 130.9298, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, 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: 0.6667, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9456, kappa: 0.918, kb_relative_information_score: 1369.6405, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9459, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3873, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.909, kb_relative_information_score: 1349.3986, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 1.585, recall: 0.9393, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717, scimark_benchmark: 1350.8432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.946, kappa: 0.919, kb_relative_information_score: 1384.5069, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3377, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9427, kappa: 0.914, kb_relative_information_score: 1371.4621, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 1.585, recall: 0.9427, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3935, scimark_benchmark: 1338.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1452.0825, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1316.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9487, kappa: 0.923, kb_relative_information_score: 1365.5097, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 1.585, recall: 0.9487, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3317, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 1340.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.909, kb_relative_information_score: 1349.3986, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 1.585, recall: 0.9393, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717, scimark_benchmark: 1397.3209, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9313, kappa: 0.897, kb_relative_information_score: 1358.2412, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9315, predictive_accuracy: 0.9313, prior_entropy: 1.585, recall: 0.9313, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3691, scimark_benchmark: 1353.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1452.0825, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2646, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9313, kappa: 0.897, kb_relative_information_score: 1367.2444, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 1.585, recall: 0.9313, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3785, scimark_benchmark: 1354.3488,

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