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: 0.8912, 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: 1335.3438, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1344.0499,
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: 1299.6719,
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: 1274.7011,
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: 1299.3719,
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: 1336.9473,
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: 1360.0477, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, 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: 1337.3179, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1260.1387,
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: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1260.1387,
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: 1354.3488,
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: 1322.7257, 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: 1297.2338,
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: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, 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: 1384.4422,
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: 1341.5795,
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: 935.5075, 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: 1288.1375,
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: 1288.1375,
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: 918.0213,
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: 1328.1857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1371.9645,
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: 1347.917,
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: 933.1165,
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: 933.1165,
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: 1360.6585, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1315.933, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 1380.2233, 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: 1380.2233,
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: 1354.3488,
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: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9178, kappa: 0.8778, kb_relative_information_score: 43.5237, mean_absolute_error: 0.0544, 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: 0.1224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4949, scimark_benchmark: 1284.2094, 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: 1335.643,
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: 1335.643,
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: 1343.2125,
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: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 43.6667, mean_absolute_error: 0.057, 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: 0.1283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3847, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
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: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8977, kappa: 0.8471, kb_relative_information_score: 41.8315, mean_absolute_error: 0.0728, 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: 0.1639, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5038, scimark_benchmark: 1337.5749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9184, kappa: 0.8775, kb_relative_information_score: 23.2744, mean_absolute_error: 0.2869, 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: 0.6456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6997, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8966, kappa: 0.8474, kb_relative_information_score: 42.1546, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9223, 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, scimark_benchmark: 932.0242, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.5151, kappa: 0.4596, kb_relative_information_score: 27.4336, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.4598, predictive_accuracy: 0.6327, prior_entropy: 1.585, recall: 0.6327, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.7241, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8995, kappa: 0.8471, kb_relative_information_score: 41.4034, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9108, predictive_accuracy: 0.898, prior_entropy: 1.585, recall: 0.898, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5517, scimark_benchmark: 938.0414,
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: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 45.7039, mean_absolute_error: 0.0362, 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: 0.0815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3045, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 41.4068, mean_absolute_error: 0.0896, 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: 0.2017, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3859, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 41.0938, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5798, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 40.7968, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.6041, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.2847, mean_absolute_error: 0.0504, 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: 0.1134, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3967, scimark_benchmark: 895.5332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9386, kappa: 0.9078, kb_relative_information_score: 44.2585, mean_absolute_error: 0.0539, 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: 0.1213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3075, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9192, kappa: 0.8768, kb_relative_information_score: 42.3002, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9231, predictive_accuracy: 0.9184, prior_entropy: 1.585, recall: 0.9184, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4771, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8776, kappa: 0.8163, kb_relative_information_score: 41.1424, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.8815, predictive_accuracy: 0.8776, prior_entropy: 1.585, recall: 0.8776, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.272, root_relative_squared_error: 0.577, scimark_benchmark: 915.6729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9184, kappa: 0.8775, kb_relative_information_score: 42.6115, mean_absolute_error: 0.0647, 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: 0.1456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5037, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9184, kappa: 0.8775, kb_relative_information_score: 43.8056, mean_absolute_error: 0.0524, 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: 0.1179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4287, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9388, kappa: 0.908, kb_relative_information_score: 44.7987, mean_absolute_error: 0.0436, 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: 0.0981, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3549, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 43.8535, mean_absolute_error: 0.0605, 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: 0.136, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3276, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9386, kappa: 0.9082, kb_relative_information_score: 43.7991, mean_absolute_error: 0.0567, 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: 0.1276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.35, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 44.5162, mean_absolute_error: 0.0493, 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: 0.1108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3497, scimark_benchmark: 937.6212, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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