OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14535 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14535 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9581, kappa: 0.9564, kb_relative_information_score: 0.9651, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9583, predictive_accuracy: 0.9581, prior_entropy: 4.7004, recall: 0.9581, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9581, kappa: 0.9564, kb_relative_information_score: 0.9651, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9583, predictive_accuracy: 0.9581, prior_entropy: 4.7004, recall: 0.9581, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9581, kappa: 0.9564, kb_relative_information_score: 0.9651, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9583, predictive_accuracy: 0.9581, prior_entropy: 4.7004, recall: 0.9581, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9581, kappa: 0.9564, kb_relative_information_score: 0.9651, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9583, predictive_accuracy: 0.9581, prior_entropy: 4.7004, recall: 0.9581, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9588, kappa: 0.9572, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9588, kappa: 0.9572, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9588, kappa: 0.9572, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9588, kappa: 0.9572, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9588, kappa: 0.9572, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9506, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 4.7004, recall: 0.9525, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9506, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 4.7004, recall: 0.9525, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9506, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 4.7004, recall: 0.9525, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9506, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 4.7004, recall: 0.9525, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9506, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 4.7004, recall: 0.9525, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9307, kappa: 0.9281, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9313, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9307, kappa: 0.9281, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9313, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9307, kappa: 0.9281, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9313, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9307, kappa: 0.9281, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9313, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kappa: 0.0091, kb_relative_information_score: 0.0357, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0472, prior_entropy: 4.7004, recall: 0.0472, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2707, root_relative_squared_error: 1.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9307, kappa: 0.9281, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9313, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9648, kappa: 0.9633, kb_relative_information_score: 0.9699, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.965, predictive_accuracy: 0.9647, prior_entropy: 4.7004, recall: 0.9647, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9648, kappa: 0.9633, kb_relative_information_score: 0.9699, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.965, predictive_accuracy: 0.9647, prior_entropy: 4.7004, recall: 0.9647, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9648, kappa: 0.9633, kb_relative_information_score: 0.9699, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.965, predictive_accuracy: 0.9647, prior_entropy: 4.7004, recall: 0.9647, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9648, kappa: 0.9633, kb_relative_information_score: 0.9699, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.965, predictive_accuracy: 0.9647, prior_entropy: 4.7004, recall: 0.9647, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.052, kappa: 0.0176, kb_relative_information_score: 0.044, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0597, predictive_accuracy: 0.0554, prior_entropy: 4.7004, recall: 0.0554, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2696, root_relative_squared_error: 1.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9648, kappa: 0.9633, kb_relative_information_score: 0.9699, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.965, predictive_accuracy: 0.9647, prior_entropy: 4.7004, recall: 0.9647, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9586, kappa: 0.9569, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9586, kappa: 0.9569, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9586, kappa: 0.9569, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9586, kappa: 0.9569, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9586, kappa: 0.9569, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 4.7004, recall: 0.9665, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 4.7004, recall: 0.9665, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 4.7004, recall: 0.9665, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 4.7004, recall: 0.9665, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 4.7004, recall: 0.9665, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.046, root_relative_squared_error: 0.239,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9606, kappa: 0.9591, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 4.7004, recall: 0.9606, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9606, kappa: 0.9591, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 4.7004, recall: 0.9606, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9606, kappa: 0.9591, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 4.7004, recall: 0.9606, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9606, kappa: 0.9591, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 4.7004, recall: 0.9606, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2545,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.3276, kappa: 0.3001, kb_relative_information_score: 0.3189, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.3292, predictive_accuracy: 0.327, prior_entropy: 4.7004, recall: 0.327, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2275, root_relative_squared_error: 1.1831,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2534,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9609, kappa: 0.9593, kb_relative_information_score: 0.9675, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9612, predictive_accuracy: 0.9609, prior_entropy: 4.7004, recall: 0.9609, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9609, kappa: 0.9593, kb_relative_information_score: 0.9675, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9612, predictive_accuracy: 0.9609, prior_entropy: 4.7004, recall: 0.9609, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9387, kappa: 0.9362, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.939, predictive_accuracy: 0.9387, prior_entropy: 4.7004, recall: 0.9387, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9387, kappa: 0.9362, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.939, predictive_accuracy: 0.9387, prior_entropy: 4.7004, recall: 0.9387, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9387, kappa: 0.9362, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.939, predictive_accuracy: 0.9387, prior_entropy: 4.7004, recall: 0.9387, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 0.9453, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9496, predictive_accuracy: 0.9495, prior_entropy: 4.7004, recall: 0.9495, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 0.9453, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9496, predictive_accuracy: 0.9495, prior_entropy: 4.7004, recall: 0.9495, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.4218, kappa: 0.4, kb_relative_information_score: 0.4162, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4219, predictive_accuracy: 0.4231, prior_entropy: 4.7004, recall: 0.4231, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.4218, kappa: 0.4, kb_relative_information_score: 0.4162, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4219, predictive_accuracy: 0.4231, prior_entropy: 4.7004, recall: 0.4231, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.4218, kappa: 0.4, kb_relative_information_score: 0.4162, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4219, predictive_accuracy: 0.4231, prior_entropy: 4.7004, recall: 0.4231, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.0954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7912, kappa: 0.7823, kb_relative_information_score: 0.7883, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7921, predictive_accuracy: 0.7907, prior_entropy: 4.7004, recall: 0.7907, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7912, kappa: 0.7823, kb_relative_information_score: 0.7883, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7921, predictive_accuracy: 0.7907, prior_entropy: 4.7004, recall: 0.7907, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7912, kappa: 0.7823, kb_relative_information_score: 0.7883, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7921, predictive_accuracy: 0.7907, prior_entropy: 4.7004, recall: 0.7907, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7912, kappa: 0.7823, kb_relative_information_score: 0.7883, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7921, predictive_accuracy: 0.7907, prior_entropy: 4.7004, recall: 0.7907, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9624, kappa: 0.9609, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9626, predictive_accuracy: 0.9624, prior_entropy: 4.7004, recall: 0.9624, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9624, kappa: 0.9609, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9626, predictive_accuracy: 0.9624, prior_entropy: 4.7004, recall: 0.9624, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9624, kappa: 0.9609, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9626, predictive_accuracy: 0.9624, prior_entropy: 4.7004, recall: 0.9624, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9624, kappa: 0.9609, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9626, predictive_accuracy: 0.9624, prior_entropy: 4.7004, recall: 0.9624, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2474,

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