Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16997 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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16997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.958, kappa: 0.9562, kb_relative_information_score: 0.96, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9579, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 4.7004, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.2719, unweighted_recall: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9566, kappa: 0.9549, kb_relative_information_score: 0.96, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, weighted_recall: 0.9566, number_of_instances: 7797, precision: 0.9567, predictive_accuracy: 0.9566, prior_entropy: 4.7004, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.2803, unweighted_recall: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.956, kappa: 0.9542, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.956, number_of_instances: 7797, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 4.7004, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2868, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9564, kappa: 0.9546, kb_relative_information_score: 0.9583, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.9564, number_of_instances: 7797, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 4.7004, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.2915, unweighted_recall: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, weighted_recall: 0.9601, number_of_instances: 7797, precision: 0.9602, predictive_accuracy: 0.9601, prior_entropy: 4.7004, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2691, unweighted_recall: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.958, kappa: 0.9562, kb_relative_information_score: 0.96, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9579, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 4.7004, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.2719, unweighted_recall: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.956, kappa: 0.9542, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, weighted_recall: 0.956, number_of_instances: 7797, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 4.7004, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2868, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9408, kappa: 0.9384, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, weighted_recall: 0.9407, number_of_instances: 7797, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 4.7004, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3414, unweighted_recall: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9582, kappa: 0.9565, kb_relative_information_score: 0.9243, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, weighted_recall: 0.9582, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9582, prior_entropy: 4.7004, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.3176, unweighted_recall: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9582, kappa: 0.9565, kb_relative_information_score: 0.9243, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, weighted_recall: 0.9582, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9582, prior_entropy: 4.7004, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.3176, unweighted_recall: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9475, kappa: 0.9453, kb_relative_information_score: 0.9476, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, weighted_recall: 0.9474, number_of_instances: 7797, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 4.7004, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.3178, unweighted_recall: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9468, kappa: 0.9448, kb_relative_information_score: 0.6676, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.074, weighted_recall: 0.9469, number_of_instances: 7797, precision: 0.9471, predictive_accuracy: 0.9469, prior_entropy: 4.7004, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.6889, unweighted_recall: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9504, kappa: 0.9484, kb_relative_information_score: 0.9489, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, weighted_recall: 0.9504, number_of_instances: 7797, precision: 0.9506, predictive_accuracy: 0.9504, prior_entropy: 4.7004, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3011, unweighted_recall: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.958, kappa: 0.9562, kb_relative_information_score: 0.96, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, weighted_recall: 0.9579, number_of_instances: 7797, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 4.7004, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.2719, unweighted_recall: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.937, kappa: 0.9346, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.074, weighted_recall: 0.9372, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 4.7004, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4922, unweighted_recall: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9399, kappa: 0.9374, kb_relative_information_score: 0.941, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, weighted_recall: 0.9398, number_of_instances: 7797, precision: 0.94, predictive_accuracy: 0.9398, prior_entropy: 4.7004, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.3435, unweighted_recall: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, weighted_recall: 0.9601, number_of_instances: 7797, precision: 0.9602, predictive_accuracy: 0.9601, prior_entropy: 4.7004, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2691, unweighted_recall: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9582, kappa: 0.9565, kb_relative_information_score: 0.9243, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, weighted_recall: 0.9582, number_of_instances: 7797, precision: 0.9585, predictive_accuracy: 0.9582, prior_entropy: 4.7004, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.3176, unweighted_recall: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.954, kappa: 0.9521, kb_relative_information_score: 0.9372, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, weighted_recall: 0.954, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 4.7004, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.2999, unweighted_recall: 0.954,

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