Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 12916 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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12916 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.005, kappa: 0.0025, kb_relative_information_score: 63.0537, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.004, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.005, kappa: 0.0025, kb_relative_information_score: 63.0537, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.004, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, f_measure: 0.0091, kappa: 0.0025, kb_relative_information_score: 24.2581, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0161, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.005, kappa: 0.0025, kb_relative_information_score: 63.0537, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.004, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, f_measure: 0.0091, kappa: 0.0025, kb_relative_information_score: 24.2581, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0161, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, f_measure: 0.0057, kappa: 0.0019, kb_relative_information_score: 57.3881, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0138, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.4727, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.0106, kappa: 0.0038, kb_relative_information_score: 16.184, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0171, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.997,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs