OpenML
Supervised Classification on blogger

Supervised Classification on blogger

Task 10094 Supervised Classification blogger 340 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 16.8076, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 16.8076, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.729, kappa: 0.3563, kb_relative_information_score: 23.9946, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7394, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9056, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7547, kappa: 0.4186, kb_relative_information_score: 24.8988, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.906, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 16.8076, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 16.8076, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 16.8076, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 16.8076, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 17.0691, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 19.005, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 54.4499, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7296,

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