Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 24548 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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24548 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9647, kappa: 0.9609, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, weighted_recall: 0.9648, number_of_instances: 5620, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 3.3218, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.2653, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9571, kappa: 0.9524, kb_relative_information_score: 0.946, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, weighted_recall: 0.9571, number_of_instances: 5620, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 3.3218, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2931, unweighted_recall: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9378, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2727, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9624, kappa: 0.9583, kb_relative_information_score: 0.9506, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.18, weighted_recall: 0.9625, number_of_instances: 5620, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 3.3218, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2808, unweighted_recall: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9648, number_of_instances: 5620, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3218, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.943, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, weighted_recall: 0.952, number_of_instances: 5620, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 3.3218, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3023, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9724, kappa: 0.9694, kb_relative_information_score: 0.9676, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, weighted_recall: 0.9724, number_of_instances: 5620, precision: 0.9725, predictive_accuracy: 0.9724, prior_entropy: 3.3218, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2218, unweighted_recall: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.943, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, weighted_recall: 0.952, number_of_instances: 5620, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 3.3218, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3023, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9647, kappa: 0.9609, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.18, weighted_recall: 0.9648, number_of_instances: 5620, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 3.3218, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.2653, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9644, kappa: 0.9605, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, weighted_recall: 0.9644, number_of_instances: 5620, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 3.3218, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2709, unweighted_recall: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9573, kappa: 0.9525, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, weighted_recall: 0.9573, number_of_instances: 5620, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 3.3218, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2922, unweighted_recall: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.947, kappa: 0.9413, kb_relative_information_score: 0.7059, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.18, weighted_recall: 0.9472, number_of_instances: 5620, precision: 0.9473, predictive_accuracy: 0.9472, prior_entropy: 3.3218, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5672, unweighted_recall: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9649, kappa: 0.9611, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, weighted_recall: 0.9649, number_of_instances: 5620, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.3218, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2782, unweighted_recall: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 0.9027, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.18, weighted_recall: 0.9621, number_of_instances: 5620, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 3.3218, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3146, unweighted_recall: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9571, kappa: 0.9524, kb_relative_information_score: 0.946, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, weighted_recall: 0.9571, number_of_instances: 5620, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 3.3218, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2931, unweighted_recall: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9378, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2727, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9624, kappa: 0.9583, kb_relative_information_score: 0.9506, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.18, weighted_recall: 0.9625, number_of_instances: 5620, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 3.3218, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2808, unweighted_recall: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9477, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, weighted_recall: 0.9605, number_of_instances: 5620, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 3.3218, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.285, unweighted_recall: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.9431, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, weighted_recall: 0.952, number_of_instances: 5620, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 3.3218, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3022, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.949, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, weighted_recall: 0.968, number_of_instances: 5620, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 3.3218, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.2613, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9327, kappa: 0.9253, kb_relative_information_score: 0.677, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.18, weighted_recall: 0.9327, number_of_instances: 5620, precision: 0.9333, predictive_accuracy: 0.9327, prior_entropy: 3.3218, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5988, unweighted_recall: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9648, number_of_instances: 5620, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3218, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.948, kb_relative_information_score: 0.8698, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, weighted_recall: 0.9532, number_of_instances: 5620, precision: 0.9536, predictive_accuracy: 0.9532, prior_entropy: 3.3218, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.3617, unweighted_recall: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.943, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, weighted_recall: 0.952, number_of_instances: 5620, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 3.3218, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3023, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, weighted_recall: 0.9674, number_of_instances: 5620, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 3.3218, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.2444, unweighted_recall: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9724, kappa: 0.9694, kb_relative_information_score: 0.9676, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, weighted_recall: 0.9724, number_of_instances: 5620, precision: 0.9725, predictive_accuracy: 0.9724, prior_entropy: 3.3218, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2218, unweighted_recall: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9584, kappa: 0.9537, kb_relative_information_score: 0.9024, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, weighted_recall: 0.9584, number_of_instances: 5620, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 3.3218, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145, unweighted_recall: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 0.9539, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, weighted_recall: 0.9712, number_of_instances: 5620, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 3.3218, relative_absolute_error: 0.0816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.2364, unweighted_recall: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9327, kappa: 0.9253, kb_relative_information_score: 0.677, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.18, weighted_recall: 0.9327, number_of_instances: 5620, precision: 0.9333, predictive_accuracy: 0.9327, prior_entropy: 3.3218, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5988, unweighted_recall: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9648, number_of_instances: 5620, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3218, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9327, kappa: 0.9253, kb_relative_information_score: 0.677, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.18, weighted_recall: 0.9327, number_of_instances: 5620, precision: 0.9333, predictive_accuracy: 0.9327, prior_entropy: 3.3218, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5988, unweighted_recall: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9644, kappa: 0.9605, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.18, weighted_recall: 0.9644, number_of_instances: 5620, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 3.3218, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2709, unweighted_recall: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9518, kappa: 0.9464, kb_relative_information_score: 0.943, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, weighted_recall: 0.9518, number_of_instances: 5620, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3218, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3026, unweighted_recall: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9327, kappa: 0.9253, kb_relative_information_score: 0.677, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.18, weighted_recall: 0.9327, number_of_instances: 5620, precision: 0.9333, predictive_accuracy: 0.9327, prior_entropy: 3.3218, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5988, unweighted_recall: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9571, kappa: 0.9524, kb_relative_information_score: 0.946, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, weighted_recall: 0.9571, number_of_instances: 5620, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 3.3218, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2931, unweighted_recall: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9327, kappa: 0.9253, kb_relative_information_score: 0.677, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.18, weighted_recall: 0.9327, number_of_instances: 5620, precision: 0.9333, predictive_accuracy: 0.9327, prior_entropy: 3.3218, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5988, unweighted_recall: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9648, kappa: 0.9609, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9648, number_of_instances: 5620, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 3.3218, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, unweighted_recall: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.949, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, weighted_recall: 0.968, number_of_instances: 5620, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 3.3218, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.2613, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 0.9477, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, weighted_recall: 0.9605, number_of_instances: 5620, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 3.3218, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.285, unweighted_recall: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 5620, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 3.3218, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.273, unweighted_recall: 0.9655,

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