Task
Supervised Classification on iris

Supervised Classification on iris

Task 289 Supervised Classification iris 345 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 42.9756, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9484, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8977, kappa: 0.8471, kb_relative_information_score: 42.1546, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9068, predictive_accuracy: 0.898, prior_entropy: 1.585, recall: 0.898, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5533, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, usercpu_time_millis: 0.067, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9386, kappa: 0.9078, kb_relative_information_score: 43.6693, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9396, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4138, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9184, kappa: 0.8772, kb_relative_information_score: 42.2239, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4998, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.2946, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3016, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.4368, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3473, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9671, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3871, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8584, kappa: 0.7852, kb_relative_information_score: 35.6536, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8626, predictive_accuracy: 0.8571, prior_entropy: 1.585, recall: 0.8571, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6405, scimark_benchmark: 938.5498, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.4368, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3473, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9386, kappa: 0.9078, kb_relative_information_score: 43.6693, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9396, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4138, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9184, kappa: 0.8772, kb_relative_information_score: 42.2239, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4998, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.2946, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3016, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.4368, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3473, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 43.0488, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9484, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3616, scimark_benchmark: 1171.0303, usercpu_time_millis: 560, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.0374, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3636, scimark_benchmark: 859.5223, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 43.1144, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9484, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3543, scimark_benchmark: 941.589, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 42.3656, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3949, scimark_benchmark: 932.4744, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 41.7133, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.397, scimark_benchmark: 889.4922, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1435, kb_relative_information_score: 0.2655, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.0937, predictive_accuracy: 0.3061, prior_entropy: 1.585, recall: 0.3061, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9184, kappa: 0.8775, kb_relative_information_score: 43.7138, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9226, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4712, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9388, kappa: 0.908, kb_relative_information_score: 44.6663, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.94, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4301, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 44.4475, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9484, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4321, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9184, kappa: 0.8775, kb_relative_information_score: 43.593, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9226, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4408, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 42.5659, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4865, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8377, kappa: 0.7548, kb_relative_information_score: 39.0949, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8452, predictive_accuracy: 0.8367, prior_entropy: 1.585, recall: 0.8367, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6186, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9671, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3871, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1310.6554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.2946, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3016, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9386, kappa: 0.9078, kb_relative_information_score: 43.6693, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9396, predictive_accuracy: 0.9388, prior_entropy: 1.585, recall: 0.9388, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4138, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9671, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3871, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8584, kappa: 0.7852, kb_relative_information_score: 35.6536, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8626, predictive_accuracy: 0.8571, prior_entropy: 1.585, recall: 0.8571, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6405, scimark_benchmark: 1335.5309, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.4368, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3473, scimark_benchmark: 1323.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9184, kappa: 0.8772, kb_relative_information_score: 42.2239, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4998, scimark_benchmark: 1337.4384, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.9812, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9347, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3774, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.2946, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3016, scimark_benchmark: 1299.6719,

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