OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 257 Supervised Classification colic 351 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

351 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 48.0922, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8352, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 62.7772, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8081, scimark_benchmark: 851.2074, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 941.6675, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.833, kappa: 0.6626, kb_relative_information_score: 64.4679, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8388, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7484, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 931.771, usercpu_time_millis: 440, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 937.5117, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 938.5498, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 943.1009, usercpu_time_millis: 620, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 48.0922, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8352, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 62.7772, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8081, scimark_benchmark: 608.4057, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 730.6551, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.833, kappa: 0.6626, kb_relative_information_score: 64.4679, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8388, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7484, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 730.6551, usercpu_time_millis: 6430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 6380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 936.9595, usercpu_time_millis: 470, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8323, kappa: 0.6615, kb_relative_information_score: 63.7874, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8418, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7442, scimark_benchmark: 763.3895, usercpu_time_millis: 11130, usercpu_time_millis_testing: 4570, usercpu_time_millis_training: 6560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8243, kappa: 0.6452, kb_relative_information_score: 62.9018, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8316, predictive_accuracy: 0.8264, prior_entropy: 0.9509, recall: 0.8264, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7595, scimark_benchmark: 901.6243, usercpu_time_millis: 4310, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 63.6357, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7567, scimark_benchmark: 935.0213, usercpu_time_millis: 1600, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7967, kappa: 0.5913, kb_relative_information_score: 62.6271, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.815, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.752, scimark_benchmark: 911.2316, usercpu_time_millis: 910, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8075, kappa: 0.6114, kb_relative_information_score: 62.0768, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8145, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7629, scimark_benchmark: 936.7184, usercpu_time_millis: 520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 62.8655, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.7952, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 62.8655, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.7952, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 62.8655, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.7952, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 62.8655, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.7952, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7836, kappa: 0.5627, kb_relative_information_score: 62.8655, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.786, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.7952, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.385, kb_relative_information_score: 1.0515, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2975, predictive_accuracy: 0.5455, prior_entropy: 0.9509, recall: 0.5455, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0167, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 68.2197, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9063, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 72.413, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.875, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7928, kappa: 0.5814, kb_relative_information_score: 73.097, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7932, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8681, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.777, kappa: 0.5507, kb_relative_information_score: 70.3957, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7773, predictive_accuracy: 0.7769, prior_entropy: 0.9509, recall: 0.7769, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8804, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7608, kappa: 0.5203, kb_relative_information_score: 65.3243, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7639, predictive_accuracy: 0.7603, prior_entropy: 0.9509, recall: 0.7603, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9534, 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: 0.385, kb_relative_information_score: 7.7183, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.2975, predictive_accuracy: 0.5455, prior_entropy: 0.9509, recall: 0.5455, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6742, root_relative_squared_error: 1.335, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 43.3039, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7866, scimark_benchmark: 899.1108, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.767, kappa: 0.5291, kb_relative_information_score: 36.1089, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7692, predictive_accuracy: 0.7686, prior_entropy: 0.9509, recall: 0.7686, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8681, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 48.0922, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7952, predictive_accuracy: 0.7934, prior_entropy: 0.9509, recall: 0.7934, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8352, scimark_benchmark: 926.4745, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7987, kappa: 0.5938, kb_relative_information_score: 62.7772, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8073, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8081, scimark_benchmark: 869.7548, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 949.7766, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.833, kappa: 0.6626, kb_relative_information_score: 64.4679, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8388, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7484, scimark_benchmark: 946.9304, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 890.5596, usercpu_time_millis: 3280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 946.6409, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 935.627, usercpu_time_millis: 460, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 1354.5533, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1318.6467, usercpu_time_millis: 2800, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1336.0954, usercpu_time_millis: 3530, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1332.9478, usercpu_time_millis: 3960, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8013, kappa: 0.5988, kb_relative_information_score: 70.5593, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8477, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 1317.5857, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1338.5214, usercpu_time_millis: 3150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1371.4836, usercpu_time_millis: 2520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.833, kappa: 0.6626, kb_relative_information_score: 64.4679, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8388, predictive_accuracy: 0.8347, prior_entropy: 0.9509, recall: 0.8347, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7484, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8082, kappa: 0.6126, kb_relative_information_score: 71.1974, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8122, predictive_accuracy: 0.8099, prior_entropy: 0.9509, recall: 0.8099, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7872, scimark_benchmark: 1311.5017, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 1286.0816, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1325.8927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 1362.1309, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1349.839, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5681, kappa: 0.1891, kb_relative_information_score: 27.5998, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.6611, predictive_accuracy: 0.6198, prior_entropy: 0.9509, recall: 0.6198, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2209, scimark_benchmark: 1334.1324, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7847, kappa: 0.5654, kb_relative_information_score: 65.2359, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8302, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7995, kappa: 0.5951, kb_relative_information_score: 53.8572, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8047, predictive_accuracy: 0.8017, prior_entropy: 0.9509, recall: 0.8017, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7641, scimark_benchmark: 1322.7257, usercpu_time_millis: 380, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8395, kappa: 0.677, kb_relative_information_score: 65.4955, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.8571, predictive_accuracy: 0.843, prior_entropy: 0.9509, recall: 0.843, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7416, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7828, kappa: 0.5614, kb_relative_information_score: 60.3448, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4882, number_of_instances: 121, precision: 0.7877, predictive_accuracy: 0.7851, prior_entropy: 0.9509, recall: 0.7851, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.505, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.825, scimark_benchmark: 1297.2338, usercpu_time_millis: 3770, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3720,

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