Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 381891 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.7414, kappa: 0.2302, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7713, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7678, kappa: 0.3201, kb_relative_information_score: 0.3477, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7901, prior_entropy: 0.7916, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6428, kappa: 0.2489, kb_relative_information_score: -0.3379, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7684, predictive_accuracy: 0.615, prior_entropy: 0.7916, recall: 0.615, relative_absolute_error: 1.1566, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.0807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 0.3394, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7916, recall: 0.7874, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.7409, kappa: 0.2294, kb_relative_information_score: 0.3311, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7848, prior_entropy: 0.7916, recall: 0.7848, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.7498, kappa: 0.2583, kb_relative_information_score: 0.3352, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7608, predictive_accuracy: 0.7861, prior_entropy: 0.7916, recall: 0.7861, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.7326, kappa: 0.2038, kb_relative_information_score: 0.3228, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7575, predictive_accuracy: 0.7821, prior_entropy: 0.7916, recall: 0.7821, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.7312, kappa: 0.1997, kb_relative_information_score: 0.3228, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7583, predictive_accuracy: 0.7821, prior_entropy: 0.7916, recall: 0.7821, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4668, root_relative_squared_error: 1.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.7349, kappa: 0.2107, kb_relative_information_score: 0.3269, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.76, predictive_accuracy: 0.7834, prior_entropy: 0.7916, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7107, kappa: 0.3057, kb_relative_information_score: -0.317, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7646, predictive_accuracy: 0.6898, prior_entropy: 0.7916, recall: 0.6898, relative_absolute_error: 1.1497, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.0751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7678, kappa: 0.3201, kb_relative_information_score: 0.3477, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7901, prior_entropy: 0.7916, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7678, kappa: 0.3201, kb_relative_information_score: 0.3477, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7901, prior_entropy: 0.7916, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7678, kappa: 0.3201, kb_relative_information_score: 0.3477, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7901, prior_entropy: 0.7916, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7689, kappa: 0.3229, kb_relative_information_score: 0.3518, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7696, predictive_accuracy: 0.7914, prior_entropy: 0.7916, recall: 0.7914, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.764, kappa: 0.3083, kb_relative_information_score: 0.3394, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7641, predictive_accuracy: 0.7874, prior_entropy: 0.7916, recall: 0.7874, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.7621, kappa: 0.3024, kb_relative_information_score: 0.3352, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7622, predictive_accuracy: 0.7861, prior_entropy: 0.7916, recall: 0.7861, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.7397, kappa: 0.2255, kb_relative_information_score: 0.3311, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.761, predictive_accuracy: 0.7848, prior_entropy: 0.7916, recall: 0.7848, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7686, kappa: 0.3232, kb_relative_information_score: 0.3477, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7682, predictive_accuracy: 0.7901, prior_entropy: 0.7916, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7678, kappa: 0.3201, kb_relative_information_score: 0.3477, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7901, prior_entropy: 0.7916, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.7266, kappa: 0.1858, kb_relative_information_score: 0.3269, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7672, predictive_accuracy: 0.7834, prior_entropy: 0.7916, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6645, kappa: 0.2682, kb_relative_information_score: -0.6963, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7689, predictive_accuracy: 0.6377, prior_entropy: 0.7916, recall: 0.6377, relative_absolute_error: 1.3698, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1679,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.657, kappa: 0.2604, kb_relative_information_score: -0.4127, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7679, predictive_accuracy: 0.6297, prior_entropy: 0.7916, recall: 0.6297, relative_absolute_error: 1.2091, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.1003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.7397, kappa: 0.2255, kb_relative_information_score: 0.3311, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.761, predictive_accuracy: 0.7848, prior_entropy: 0.7916, recall: 0.7848, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.7397, kappa: 0.2255, kb_relative_information_score: 0.3311, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.761, predictive_accuracy: 0.7848, prior_entropy: 0.7916, recall: 0.7848, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4639, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.764, kappa: 0.3083, kb_relative_information_score: 0.3394, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7641, predictive_accuracy: 0.7874, prior_entropy: 0.7916, recall: 0.7874, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.764, kappa: 0.3083, kb_relative_information_score: 0.3394, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7641, predictive_accuracy: 0.7874, prior_entropy: 0.7916, recall: 0.7874, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.7697, kappa: 0.326, kb_relative_information_score: 0.3518, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7698, predictive_accuracy: 0.7914, prior_entropy: 0.7916, recall: 0.7914, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.7697, kappa: 0.326, kb_relative_information_score: 0.3518, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7698, predictive_accuracy: 0.7914, prior_entropy: 0.7916, recall: 0.7914, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 0.3352, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7916, recall: 0.7861, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 0.3352, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7916, recall: 0.7861, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 0.3435, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7916, recall: 0.7888, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0793,

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