OpenML
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21750 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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21750 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9799, kappa: 0.9777, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, weighted_recall: 0.9799, number_of_instances: 5620, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 3.3218, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2497, unweighted_recall: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.982, kappa: 0.98, kb_relative_information_score: 0.9288, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.18, weighted_recall: 0.982, number_of_instances: 5620, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.3218, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9715, kappa: 0.9684, kb_relative_information_score: 0.7793, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, weighted_recall: 0.9715, number_of_instances: 5620, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 3.3218, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4733, unweighted_recall: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9637, kappa: 0.9597, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, weighted_recall: 0.9637, number_of_instances: 5620, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 3.3218, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3499, unweighted_recall: 0.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 0.8927, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, weighted_recall: 0.9817, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3123, unweighted_recall: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9799, kappa: 0.9777, kb_relative_information_score: 0.9213, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, weighted_recall: 0.9799, number_of_instances: 5620, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 3.3218, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2707, unweighted_recall: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9795, kappa: 0.9773, kb_relative_information_score: 0.8964, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 5620, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3218, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3094, unweighted_recall: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9845, kappa: 0.9828, kb_relative_information_score: 0.932, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, weighted_recall: 0.9845, number_of_instances: 5620, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 3.3218, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2462, unweighted_recall: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, weighted_recall: 0.9843, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2836, unweighted_recall: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9565, kappa: 0.9518, kb_relative_information_score: 0.8629, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, weighted_recall: 0.9566, number_of_instances: 5620, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 3.3218, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3734, unweighted_recall: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9708, kappa: 0.9676, kb_relative_information_score: 0.9389, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.18, weighted_recall: 0.9708, number_of_instances: 5620, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 3.3218, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2539, unweighted_recall: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9674, kappa: 0.9638, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, weighted_recall: 0.9674, number_of_instances: 5620, precision: 0.9676, predictive_accuracy: 0.9674, prior_entropy: 3.3218, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.4088, unweighted_recall: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, weighted_recall: 0.9842, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2837, unweighted_recall: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9713, kappa: 0.9682, kb_relative_information_score: 0.7715, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, weighted_recall: 0.9714, number_of_instances: 5620, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 3.3218, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796, unweighted_recall: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9826, kappa: 0.9806, kb_relative_information_score: 0.9102, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, weighted_recall: 0.9826, number_of_instances: 5620, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 3.3218, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2843, unweighted_recall: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, weighted_recall: 0.9843, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2837, unweighted_recall: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9797, kappa: 0.9775, kb_relative_information_score: 0.9371, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, weighted_recall: 0.9797, number_of_instances: 5620, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 3.3218, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.2444, unweighted_recall: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 0.9173, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, weighted_recall: 0.9849, number_of_instances: 5620, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 3.3218, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2698, unweighted_recall: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9599, kappa: 0.9555, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, weighted_recall: 0.96, number_of_instances: 5620, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 3.3218, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3691, unweighted_recall: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9801, kappa: 0.9779, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, weighted_recall: 0.9801, number_of_instances: 5620, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 3.3218, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2533, unweighted_recall: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9678, kappa: 0.9642, kb_relative_information_score: 0.8127, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, weighted_recall: 0.9678, number_of_instances: 5620, precision: 0.968, predictive_accuracy: 0.9678, prior_entropy: 3.3218, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.4308, unweighted_recall: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.9333, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, weighted_recall: 0.979, number_of_instances: 5620, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3218, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.2526, unweighted_recall: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.981, kappa: 0.9788, kb_relative_information_score: 0.9293, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.18, weighted_recall: 0.981, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3218, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2552, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 0.8468, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, weighted_recall: 0.9712, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3218, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3868, unweighted_recall: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 0.9105, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, weighted_recall: 0.9817, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2856, unweighted_recall: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.97, kappa: 0.9666, kb_relative_information_score: 0.9106, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, weighted_recall: 0.9699, number_of_instances: 5620, precision: 0.9701, predictive_accuracy: 0.9699, prior_entropy: 3.3218, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2988, unweighted_recall: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.8689, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, weighted_recall: 0.974, number_of_instances: 5620, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 3.3218, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, unweighted_recall: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9726, kappa: 0.9696, kb_relative_information_score: 0.9048, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, weighted_recall: 0.9726, number_of_instances: 5620, precision: 0.9728, predictive_accuracy: 0.9726, prior_entropy: 3.3218, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3032, unweighted_recall: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9209, kappa: 0.9118, kb_relative_information_score: 0.6782, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.18, weighted_recall: 0.9206, number_of_instances: 5620, precision: 0.9234, predictive_accuracy: 0.9206, prior_entropy: 3.3218, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5932, unweighted_recall: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9437, kappa: 0.9375, kb_relative_information_score: 0.8755, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, weighted_recall: 0.9438, number_of_instances: 5620, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 3.3218, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3664, unweighted_recall: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.8302, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 5620, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3218, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.4046, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9867, kappa: 0.9852, kb_relative_information_score: 0.9206, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, weighted_recall: 0.9867, number_of_instances: 5620, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 3.3218, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.079, root_relative_squared_error: 0.2635, unweighted_recall: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9517, kappa: 0.9462, kb_relative_information_score: 0.9107, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.18, weighted_recall: 0.9516, number_of_instances: 5620, precision: 0.9518, predictive_accuracy: 0.9516, prior_entropy: 3.3218, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.3161, unweighted_recall: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, weighted_recall: 0.9735, number_of_instances: 5620, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3218, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, unweighted_recall: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9795, kappa: 0.9773, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, weighted_recall: 0.9795, number_of_instances: 5620, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 3.3218, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2696, unweighted_recall: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 0.9285, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.18, weighted_recall: 0.9838, number_of_instances: 5620, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 3.3218, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2535, unweighted_recall: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9663, kappa: 0.9626, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, weighted_recall: 0.9664, number_of_instances: 5620, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 3.3218, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.3245, unweighted_recall: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, weighted_recall: 0.9843, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2836, unweighted_recall: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.18, weighted_recall: 0.9842, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, unweighted_recall: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9831, kappa: 0.9812, kb_relative_information_score: 0.9685, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, weighted_recall: 0.9831, number_of_instances: 5620, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 3.3218, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1877, unweighted_recall: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.18, weighted_recall: 0.9842, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, unweighted_recall: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9833, kappa: 0.9814, kb_relative_information_score: 0.9685, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, weighted_recall: 0.9833, number_of_instances: 5620, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 3.3218, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1877, unweighted_recall: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.18, weighted_recall: 0.9842, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, unweighted_recall: 0.9841,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9518, kappa: 0.9433, kb_relative_information_score: 0.9071, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9606, predictive_accuracy: 0.9489, prior_entropy: 3.3218, recall: 0.9489, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.984, kappa: 0.9822, kb_relative_information_score: 0.97, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 3.3218, recall: 0.984, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, kappa: 0.1452, kb_relative_information_score: 0.0321, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.2301, prior_entropy: 3.3218, recall: 0.2301, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8245, kappa: 0.8017, kb_relative_information_score: 0.7482, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8326, predictive_accuracy: 0.8215, prior_entropy: 3.3218, recall: 0.8215, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9829, predictive_accuracy: 0.9829, prior_entropy: 3.3218, recall: 0.9829, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 0.9683, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9875, kappa: 0.9862, kb_relative_information_score: 0.9785, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 3.3218, recall: 0.9875, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9888, kappa: 0.9875, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 3.3218, recall: 0.9888, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9849, kappa: 0.9832, kb_relative_information_score: 0.9746, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, kb_relative_information_score: 0.0001, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1018, prior_entropy: 3.3218, recall: 0.1018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9808, kappa: 0.9786, kb_relative_information_score: 0.9692, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 3.3218, recall: 0.9808, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9875, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 3.3218, recall: 0.9888, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9734, kappa: 0.9703, kb_relative_information_score: 0.958, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9735, predictive_accuracy: 0.9733, prior_entropy: 3.3218, recall: 0.9733, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9326, kappa: 0.9229, kb_relative_information_score: 0.8297, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9385, predictive_accuracy: 0.9306, prior_entropy: 3.3218, recall: 0.9306, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.6393, kappa: 0.5806, kb_relative_information_score: 0.2345, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8288, predictive_accuracy: 0.6226, prior_entropy: 3.3218, recall: 0.6226, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9105,

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