OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14665 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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14665 Runs

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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: 0.5, 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: 0.9985, f_measure: 0.9486, kappa: 0.9465, kb_relative_information_score: 0.9542, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 4.7004, recall: 0.9486, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.2949,
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: 0.976, f_measure: 0.7826, kappa: 0.7772, kb_relative_information_score: 0.1001, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7949, predictive_accuracy: 0.7858, prior_entropy: 4.7004, recall: 0.7858, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.9845,
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: 0.5, 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: 0.5038, kappa: 0.0078, kb_relative_information_score: 0.0344, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0459, prior_entropy: 4.7004, recall: 0.0459, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2709, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9636, kappa: 0.9621, kb_relative_information_score: 0.9683, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 4.7004, recall: 0.9636, relative_absolute_error: 0.0437, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.2485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.928, kappa: 0.9253, kb_relative_information_score: 0.9399, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9285, predictive_accuracy: 0.9282, prior_entropy: 4.7004, recall: 0.9282, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9546, kappa: 0.9528, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9549, predictive_accuracy: 0.9546, prior_entropy: 4.7004, recall: 0.9546, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.971, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.7004, recall: 0.9651, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.241,
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: 0.9989, f_measure: 0.9514, kappa: 0.9494, kb_relative_information_score: 0.9379, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9517, predictive_accuracy: 0.9514, prior_entropy: 4.7004, recall: 0.9514, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.2932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.4376, kappa: 0.4144, kb_relative_information_score: 0.4303, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.4392, predictive_accuracy: 0.437, prior_entropy: 4.7004, recall: 0.437, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2081, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.965, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9599, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9204, kappa: 0.9174, kb_relative_information_score: 0.927, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9209, predictive_accuracy: 0.9206, prior_entropy: 4.7004, recall: 0.9206, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.3496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9191, kappa: 0.9157, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9194, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.072, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9191, kappa: 0.9157, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9194, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.072, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9191, kappa: 0.9157, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9194, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.072, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9447, kappa: 0.9425, kb_relative_information_score: 0.9294, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.945, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9191, kappa: 0.9157, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9194, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.072, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9191, kappa: 0.9157, kb_relative_information_score: 0.9284, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9194, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.072, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9562, kappa: 0.9544, kb_relative_information_score: 0.9596, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 4.7004, recall: 0.9561, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9562, kappa: 0.9544, kb_relative_information_score: 0.9596, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 4.7004, recall: 0.9561, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9562, kappa: 0.9544, kb_relative_information_score: 0.9596, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 4.7004, recall: 0.9561, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9562, kappa: 0.9544, kb_relative_information_score: 0.9596, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 4.7004, recall: 0.9561, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2612,
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: 0.999, f_measure: 0.9562, kappa: 0.9544, kb_relative_information_score: 0.9596, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 4.7004, recall: 0.9561, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2612,
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: 0.9991, 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,
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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,
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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,
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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,
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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,
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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,
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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,
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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,
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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,
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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: 0.6529, 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,
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,
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,
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,
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,
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,
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,
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,
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,

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