Task
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23664 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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23664 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.992, kb_relative_information_score: 0.9704, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, weighted_recall: 0.9928, number_of_instances: 10992, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 3.3208, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1608, unweighted_recall: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9716, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, weighted_recall: 0.9918, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3208, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1618, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9897, kappa: 0.9886, kb_relative_information_score: 0.9406, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, weighted_recall: 0.9897, number_of_instances: 10992, precision: 0.9898, predictive_accuracy: 0.9897, prior_entropy: 3.3208, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.2228, unweighted_recall: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9909, kappa: 0.9899, kb_relative_information_score: 0.9468, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, weighted_recall: 0.9909, number_of_instances: 10992, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 3.3208, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.2081, unweighted_recall: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.9771, kb_relative_information_score: 0.8872, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, weighted_recall: 0.9793, number_of_instances: 10992, precision: 0.9796, predictive_accuracy: 0.9793, prior_entropy: 3.3208, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.3228, unweighted_recall: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9749, kappa: 0.9721, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, weighted_recall: 0.9749, number_of_instances: 10992, precision: 0.9751, predictive_accuracy: 0.9749, prior_entropy: 3.3208, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.2644, unweighted_recall: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9904, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, weighted_recall: 0.9914, number_of_instances: 10992, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 3.3208, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1716, unweighted_recall: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9863, kappa: 0.9848, kb_relative_information_score: 0.9202, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, weighted_recall: 0.9864, number_of_instances: 10992, precision: 0.9865, predictive_accuracy: 0.9864, prior_entropy: 3.3208, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.2614, unweighted_recall: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kappa: -0.0003, kb_relative_information_score: 0.0002, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1037, number_of_instances: 10992, predictive_accuracy: 0.1037, prior_entropy: 3.3208, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, unweighted_recall: 0.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 0.9625, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, weighted_recall: 0.9854, number_of_instances: 10992, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 3.3208, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1959, unweighted_recall: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9909, kappa: 0.9899, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9909, number_of_instances: 10992, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 3.3208, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1811, unweighted_recall: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9866, kappa: 0.9851, kb_relative_information_score: 0.9363, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.18, weighted_recall: 0.9866, number_of_instances: 10992, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 3.3208, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2384, unweighted_recall: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9762, kappa: 0.9736, kb_relative_information_score: 0.8748, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, weighted_recall: 0.9763, number_of_instances: 10992, precision: 0.9766, predictive_accuracy: 0.9763, prior_entropy: 3.3208, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.3446, unweighted_recall: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9889, kappa: 0.9877, kb_relative_information_score: 0.9398, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, weighted_recall: 0.9889, number_of_instances: 10992, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 3.3208, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.2231, unweighted_recall: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9919, kappa: 0.991, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9919, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.3208, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1811, unweighted_recall: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9921, kappa: 0.9912, kb_relative_information_score: 0.9682, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, weighted_recall: 0.9921, number_of_instances: 10992, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 3.3208, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1642, unweighted_recall: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9902, kappa: 0.9891, kb_relative_information_score: 0.9412, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, weighted_recall: 0.9902, number_of_instances: 10992, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 3.3208, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.2197, unweighted_recall: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9894, kb_relative_information_score: 0.9687, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.18, weighted_recall: 0.9904, number_of_instances: 10992, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 3.3208, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.173, unweighted_recall: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9877, kb_relative_information_score: 0.9353, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, weighted_recall: 0.9889, number_of_instances: 10992, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 3.3208, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2321, unweighted_recall: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, weighted_recall: 0.9918, number_of_instances: 10992, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 3.3208, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1813, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9926, kappa: 0.9918, kb_relative_information_score: 0.9711, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, weighted_recall: 0.9926, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 3.3208, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1591, unweighted_recall: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 0.962, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.18, weighted_recall: 0.9916, number_of_instances: 10992, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 3.3208, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, unweighted_recall: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9903, kappa: 0.9892, kb_relative_information_score: 0.9411, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, weighted_recall: 0.9903, number_of_instances: 10992, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 3.3208, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.2202, unweighted_recall: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9901, kappa: 0.989, kb_relative_information_score: 0.9593, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, weighted_recall: 0.9901, number_of_instances: 10992, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 3.3208, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1864, unweighted_recall: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9904, kappa: 0.9893, kb_relative_information_score: 0.9643, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, weighted_recall: 0.9904, number_of_instances: 10992, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 3.3208, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1797, unweighted_recall: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9904, kappa: 0.9894, kb_relative_information_score: 0.956, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.18, weighted_recall: 0.9904, number_of_instances: 10992, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 3.3208, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1936, unweighted_recall: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9911, kappa: 0.9901, kb_relative_information_score: 0.9722, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, weighted_recall: 0.9911, number_of_instances: 10992, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.3208, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1633, unweighted_recall: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9906, kappa: 0.9896, kb_relative_information_score: 0.9655, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, weighted_recall: 0.9906, number_of_instances: 10992, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 3.3208, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1761, unweighted_recall: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9867, kb_relative_information_score: 0.9256, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, weighted_recall: 0.988, number_of_instances: 10992, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 3.3208, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2519, unweighted_recall: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9876, kb_relative_information_score: 0.9625, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.18, weighted_recall: 0.9888, number_of_instances: 10992, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 3.3208, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1896, unweighted_recall: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9896, kappa: 0.9885, kb_relative_information_score: 0.9406, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, weighted_recall: 0.9896, number_of_instances: 10992, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 3.3208, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.2228, unweighted_recall: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9921, kappa: 0.9912, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, weighted_recall: 0.9921, number_of_instances: 10992, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 3.3208, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1561, unweighted_recall: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9897, kappa: 0.9886, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, weighted_recall: 0.9897, number_of_instances: 10992, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 3.3208, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1741, unweighted_recall: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9764, kappa: 0.9738, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, weighted_recall: 0.9764, number_of_instances: 10992, precision: 0.9769, predictive_accuracy: 0.9764, prior_entropy: 3.3208, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3483, unweighted_recall: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9589, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.18, weighted_recall: 0.9824, number_of_instances: 10992, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3208, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2068, unweighted_recall: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9666, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, weighted_recall: 0.9918, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3208, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.168, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 0.9593, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, weighted_recall: 0.9849, number_of_instances: 10992, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 3.3208, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.2023, unweighted_recall: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9915, kappa: 0.9906, kb_relative_information_score: 0.9538, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, weighted_recall: 0.9915, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 3.3208, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1935, unweighted_recall: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9892, kappa: 0.988, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.18, weighted_recall: 0.9892, number_of_instances: 10992, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 3.3208, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1992, unweighted_recall: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.99, kappa: 0.9889, kb_relative_information_score: 0.9387, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, weighted_recall: 0.99, number_of_instances: 10992, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 3.3208, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.2256, unweighted_recall: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9759, kappa: 0.9733, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, weighted_recall: 0.976, number_of_instances: 10992, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 3.3208, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3482, unweighted_recall: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9721, kappa: 0.9691, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.18, weighted_recall: 0.9722, number_of_instances: 10992, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 3.3208, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.267, unweighted_recall: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9873, kappa: 0.9858, kb_relative_information_score: 0.9565, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, weighted_recall: 0.9873, number_of_instances: 10992, precision: 0.9873, predictive_accuracy: 0.9873, prior_entropy: 3.3208, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.203, unweighted_recall: 0.9874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9895, kb_relative_information_score: 0.9764, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, weighted_recall: 0.9905, number_of_instances: 10992, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 3.3208, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.157, unweighted_recall: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9779, kappa: 0.9755, kb_relative_information_score: 0.8777, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, weighted_recall: 0.978, number_of_instances: 10992, precision: 0.9783, predictive_accuracy: 0.978, prior_entropy: 3.3208, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3383, unweighted_recall: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9907, kappa: 0.9897, kb_relative_information_score: 0.9562, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.18, weighted_recall: 0.9907, number_of_instances: 10992, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 3.3208, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1931, unweighted_recall: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9907, kappa: 0.9897, kb_relative_information_score: 0.9646, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, weighted_recall: 0.9907, number_of_instances: 10992, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 3.3208, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1785, unweighted_recall: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9921, kb_relative_information_score: 0.9756, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, weighted_recall: 0.9929, number_of_instances: 10992, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.3208, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1489, unweighted_recall: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9866, kappa: 0.9851, kb_relative_information_score: 0.9559, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, weighted_recall: 0.9866, number_of_instances: 10992, precision: 0.9867, predictive_accuracy: 0.9866, prior_entropy: 3.3208, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2067, unweighted_recall: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.18, weighted_recall: 0.9854, number_of_instances: 10992, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 3.3208, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.208, unweighted_recall: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9921, kappa: 0.9912, kb_relative_information_score: 0.9659, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, weighted_recall: 0.9921, number_of_instances: 10992, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 3.3208, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1715, unweighted_recall: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9919, kappa: 0.991, kb_relative_information_score: 0.9673, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, weighted_recall: 0.9919, number_of_instances: 10992, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.3208, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1694, unweighted_recall: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9694, kappa: 0.9661, kb_relative_information_score: 0.8437, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, weighted_recall: 0.9695, number_of_instances: 10992, precision: 0.9702, predictive_accuracy: 0.9695, prior_entropy: 3.3208, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3936, unweighted_recall: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9877, kb_relative_information_score: 0.9395, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, weighted_recall: 0.9889, number_of_instances: 10992, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 3.3208, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2234, unweighted_recall: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9785, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, weighted_recall: 0.9918, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3208, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1466, unweighted_recall: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9911, kappa: 0.9901, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, weighted_recall: 0.9911, number_of_instances: 10992, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 3.3208, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2004, unweighted_recall: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.18, weighted_recall: 0.9695, number_of_instances: 10992, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 3.3208, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2679, unweighted_recall: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9896, kappa: 0.9885, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, weighted_recall: 0.9896, number_of_instances: 10992, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 3.3208, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2266, unweighted_recall: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9907, kappa: 0.9897, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, weighted_recall: 0.9907, number_of_instances: 10992, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 3.3208, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.171, unweighted_recall: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9909, kappa: 0.9899, kb_relative_information_score: 0.9473, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, weighted_recall: 0.9909, number_of_instances: 10992, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 3.3208, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.2075, unweighted_recall: 0.991,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs