Task
Supervised Classification on har

Supervised Classification on har

Task 14970 Supervised Classification har 16541 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_99
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16541 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, kappa: 0.231, kb_relative_information_score: 0.2713, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2771, weighted_recall: 0.3738, number_of_instances: 10299, predictive_accuracy: 0.3738, prior_entropy: 2.5759, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.8824, unweighted_recall: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9899, kappa: 0.9879, kb_relative_information_score: 0.9891, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9899, number_of_instances: 10299, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 2.5759, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1559, unweighted_recall: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.934, kappa: 0.9206, kb_relative_information_score: 0.9265, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2771, weighted_recall: 0.934, number_of_instances: 10299, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 2.5759, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3986, unweighted_recall: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7353, kappa: 0.6891, kb_relative_information_score: 0.7184, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2771, weighted_recall: 0.7408, number_of_instances: 10299, precision: 0.7897, predictive_accuracy: 0.7408, prior_entropy: 2.5759, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.7841, unweighted_recall: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9338, kappa: 0.9203, kb_relative_information_score: 0.9263, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9338, number_of_instances: 10299, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 2.5759, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.3991, unweighted_recall: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9551, kappa: 0.9461, kb_relative_information_score: 0.9509, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9552, number_of_instances: 10299, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 2.5759, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.3282, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.968, kappa: 0.9615, kb_relative_information_score: 0.9223, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2771, weighted_recall: 0.968, number_of_instances: 10299, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 2.5759, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2879, unweighted_recall: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9892, kappa: 0.987, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9892, number_of_instances: 10299, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 2.5759, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.138, unweighted_recall: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9861, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9884, number_of_instances: 10299, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 2.5759, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1449, unweighted_recall: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9839, kappa: 0.9806, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9839, number_of_instances: 10299, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 2.5759, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1722, unweighted_recall: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9879, kappa: 0.9854, kb_relative_information_score: 0.9811, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9879, number_of_instances: 10299, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 2.5759, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1498, unweighted_recall: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9846, kappa: 0.9814, kb_relative_information_score: 0.9787, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9846, number_of_instances: 10299, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 2.5759, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1666, unweighted_recall: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9893, kappa: 0.9872, kb_relative_information_score: 0.985, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9893, number_of_instances: 10299, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 2.5759, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1374, unweighted_recall: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9861, kappa: 0.9833, kb_relative_information_score: 0.9737, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9861, number_of_instances: 10299, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.5759, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.1687, unweighted_recall: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.983, kappa: 0.9796, kb_relative_information_score: 0.9768, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.2771, weighted_recall: 0.983, number_of_instances: 10299, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 2.5759, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.1757, unweighted_recall: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9859, kb_relative_information_score: 0.984, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9883, number_of_instances: 10299, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 2.5759, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1427, unweighted_recall: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9791, kappa: 0.9748, kb_relative_information_score: 0.9785, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2771, weighted_recall: 0.979, number_of_instances: 10299, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 2.5759, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2034, unweighted_recall: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.9815, kb_relative_information_score: 0.9793, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9847, number_of_instances: 10299, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 2.5759, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.181, unweighted_recall: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9847, kappa: 0.9815, kb_relative_information_score: 0.9802, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9847, number_of_instances: 10299, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 2.5759, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1786, unweighted_recall: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9845, kappa: 0.9813, kb_relative_information_score: 0.9816, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9845, number_of_instances: 10299, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 2.5759, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.1811, unweighted_recall: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9698, kappa: 0.9637, kb_relative_information_score: 0.8612, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9698, number_of_instances: 10299, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.3322, unweighted_recall: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9803, kappa: 0.9763, kb_relative_information_score: 0.9662, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9803, number_of_instances: 10299, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 2.5759, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1979, unweighted_recall: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9812, kappa: 0.9773, kb_relative_information_score: 0.9575, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9812, number_of_instances: 10299, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 2.5759, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.075, root_relative_squared_error: 0.2016, unweighted_recall: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9838, kappa: 0.9805, kb_relative_information_score: 0.9824, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9838, number_of_instances: 10299, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 2.5759, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1838, unweighted_recall: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9819, kb_relative_information_score: 0.9739, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1772, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9836, kappa: 0.9803, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9836, number_of_instances: 10299, precision: 0.9836, predictive_accuracy: 0.9836, prior_entropy: 2.5759, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.187, unweighted_recall: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2771, weighted_recall: 0.985, number_of_instances: 10299, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 2.5759, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.1764, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9805, kappa: 0.9765, kb_relative_information_score: 0.9789, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9805, number_of_instances: 10299, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 2.5759, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1995, unweighted_recall: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9819, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1739, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9819, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1716, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9828, kappa: 0.9793, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9828, number_of_instances: 10299, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.183, unweighted_recall: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9721, kappa: 0.9665, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9721, number_of_instances: 10299, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 2.5759, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2535, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9791, kappa: 0.9748, kb_relative_information_score: 0.9785, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2771, weighted_recall: 0.979, number_of_instances: 10299, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 2.5759, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2034, unweighted_recall: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 0.9834, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2771, weighted_recall: 0.985, number_of_instances: 10299, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 2.5759, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.063, root_relative_squared_error: 0.1692, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9853, kappa: 0.9824, kb_relative_information_score: 0.9814, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9853, number_of_instances: 10299, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 2.5759, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.165, unweighted_recall: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9746, kappa: 0.9695, kb_relative_information_score: 0.9515, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9747, number_of_instances: 10299, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 2.5759, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2266, unweighted_recall: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9828, kappa: 0.9793, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9828, number_of_instances: 10299, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.183, unweighted_recall: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9848, kappa: 0.9817, kb_relative_information_score: 0.9802, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9848, number_of_instances: 10299, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 2.5759, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1787, unweighted_recall: 0.9857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9819, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1739, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9809, kappa: 0.977, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9809, number_of_instances: 10299, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.5759, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1977, unweighted_recall: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9809, kappa: 0.977, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9809, number_of_instances: 10299, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.5759, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1977, unweighted_recall: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,

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