Task
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: 0.9855, f_measure: 0.9739, kappa: 0.9709, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 3.3218, recall: 0.9738, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9826, kappa: 0.9806, kb_relative_information_score: 0.9818, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 3.3218, recall: 0.9826, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9883, kappa: 0.987, kb_relative_information_score: 0.9877, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 3.3218, recall: 0.9883, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7172, kappa: 0.6611, kb_relative_information_score: 0.6809, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8421, predictive_accuracy: 0.695, prior_entropy: 3.3218, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.2462, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4455, scimark_benchmark: 944.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 5544.0305, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1547, scimark_benchmark: 944.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9844, kappa: 0.9826, kb_relative_information_score: 5518.3849, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9846, predictive_accuracy: 0.9843, prior_entropy: 3.3218, recall: 0.9843, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1636, scimark_benchmark: 935.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9875, kappa: 0.9862, kb_relative_information_score: 1686.3002, mean_absolute_error: 0.1601, 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: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.906, scimark_benchmark: 949.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9492, kappa: 0.9435, kb_relative_information_score: 5099.3117, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9493, predictive_accuracy: 0.9491, prior_entropy: 3.3218, recall: 0.9491, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3217, scimark_benchmark: 912.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9802, kappa: 0.9781, kb_relative_information_score: 1680.5002, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9803, predictive_accuracy: 0.9802, prior_entropy: 3.3218, recall: 0.9802, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.9057, scimark_benchmark: 947.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.859, kappa: 0.843, kb_relative_information_score: 4713.4073, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8594, predictive_accuracy: 0.8587, prior_entropy: 3.3218, recall: 0.8587, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943, scimark_benchmark: 947.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9893, kappa: 0.9881, kb_relative_information_score: 1687.0668, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 3.3218, recall: 0.9893, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9063, scimark_benchmark: 947.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9035, kappa: 0.8928, kb_relative_information_score: 5033.537, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9036, predictive_accuracy: 0.9036, prior_entropy: 3.3218, recall: 0.9036, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.447, scimark_benchmark: 910.6145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8947, kappa: 0.8832, kb_relative_information_score: 4980.5464, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8949, predictive_accuracy: 0.8948, prior_entropy: 3.3218, recall: 0.8948, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4434, scimark_benchmark: 946.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9838, kappa: 0.9818, kb_relative_information_score: 0.9829, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9843, predictive_accuracy: 0.9836, prior_entropy: 3.3218, recall: 0.9836, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9472, kappa: 0.9375, kb_relative_information_score: 0.9412, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9578, predictive_accuracy: 0.9438, prior_entropy: 3.3218, recall: 0.9438, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.106, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9839, kappa: 0.982, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.987, kappa: 0.9856, kb_relative_information_score: 0.9864, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 3.3218, recall: 0.987, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.984, kappa: 0.9822, kb_relative_information_score: 0.9832, mean_absolute_error: 0.0032, 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: 0.0178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9902, kappa: 0.9891, kb_relative_information_score: 0.9898, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9903, predictive_accuracy: 0.9902, prior_entropy: 3.3218, recall: 0.9902, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0442, root_relative_squared_error: 0.1475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9863, kappa: 0.9848, kb_relative_information_score: 0.9857, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 3.3218, recall: 0.9863, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9441, kappa: 0.9336, kb_relative_information_score: 0.9375, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9562, predictive_accuracy: 0.9402, prior_entropy: 3.3218, recall: 0.9402, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9574, kappa: 0.9502, kb_relative_information_score: 0.9531, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9647, predictive_accuracy: 0.9552, prior_entropy: 3.3218, recall: 0.9552, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.989, kappa: 0.9877, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 3.3218, recall: 0.989, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 3.3218, recall: 0.9829, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9909, kappa: 0.9899, kb_relative_information_score: 0.9905, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 3.3218, recall: 0.9909, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0426, root_relative_squared_error: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9915, kappa: 0.9905, kb_relative_information_score: 0.9911, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 3.3218, recall: 0.9915, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9829, kappa: 0.9808, kb_relative_information_score: 0.9819, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9836, predictive_accuracy: 0.9827, prior_entropy: 3.3218, recall: 0.9827, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9805, kappa: 0.9781, kb_relative_information_score: 0.9793, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9816, predictive_accuracy: 0.9802, prior_entropy: 3.3218, recall: 0.9802, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9904, kappa: 0.9893, kb_relative_information_score: 0.9899, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 3.3218, recall: 0.9904, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 0.9913, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 3.3218, recall: 0.9916, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.1363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9768, kappa: 0.9737, kb_relative_information_score: 0.9752, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9786, predictive_accuracy: 0.9763, prior_entropy: 3.3218, recall: 0.9763, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.992, kappa: 0.9911, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3218, recall: 0.992, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9836, kappa: 0.9818, kb_relative_information_score: 0.9829, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9837, predictive_accuracy: 0.9836, prior_entropy: 3.3218, recall: 0.9836, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9464, kappa: 0.9365, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9573, predictive_accuracy: 0.9429, prior_entropy: 3.3218, recall: 0.9429, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 0.9808, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.2018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, kappa: 0.044, kb_relative_information_score: 0.1012, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1413, prior_entropy: 3.3218, recall: 0.1413, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8354, kappa: 0.78, kb_relative_information_score: 0.7931, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9261, predictive_accuracy: 0.802, prior_entropy: 3.3218, recall: 0.802, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9858, kappa: 0.9842, kb_relative_information_score: 0.9851, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 3.3218, recall: 0.9858, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.992, kappa: 0.9911, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3218, recall: 0.992, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9746, kappa: 0.9717, kb_relative_information_score: 0.9734, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9747, predictive_accuracy: 0.9746, prior_entropy: 3.3218, recall: 0.9746, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9483, kappa: 0.9389, kb_relative_information_score: 0.9425, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9585, predictive_accuracy: 0.945, prior_entropy: 3.3218, recall: 0.945, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.919, kappa: 0.9043, kb_relative_information_score: 0.91, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9358, predictive_accuracy: 0.9139, prior_entropy: 3.3218, recall: 0.9139, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.4375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9015, kappa: 0.8759, kb_relative_information_score: 0.8833, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9389, predictive_accuracy: 0.8883, prior_entropy: 3.3218, recall: 0.8883, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 0.9834, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.982, kappa: 0.98, kb_relative_information_score: 0.9812, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.3218, recall: 0.982, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9801, kappa: 0.9779, kb_relative_information_score: 0.9792, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 3.3218, recall: 0.9801, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4619, f_measure: 0.0271, kappa: -0.0763, kb_relative_information_score: -0.0128, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0303, predictive_accuracy: 0.0315, prior_entropy: 3.3218, recall: 0.0315, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8761, kappa: 0.8395, kb_relative_information_score: 0.8491, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9328, predictive_accuracy: 0.8555, prior_entropy: 3.3218, recall: 0.8555, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9824, kappa: 0.9802, kb_relative_information_score: 0.9814, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9832, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9836, kappa: 0.9818, kb_relative_information_score: 0.9829, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9837, predictive_accuracy: 0.9836, prior_entropy: 3.3218, recall: 0.9836, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9886, kappa: 0.9873, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9887, predictive_accuracy: 0.9886, prior_entropy: 3.3218, recall: 0.9886, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9876, kappa: 0.9862, kb_relative_information_score: 0.987, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9878, predictive_accuracy: 0.9875, prior_entropy: 3.3218, recall: 0.9875, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9861, kappa: 0.9846, kb_relative_information_score: 0.9855, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 3.3218, recall: 0.9861, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9888, kappa: 0.9875, kb_relative_information_score: 0.9883, mean_absolute_error: 0.0022, 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: 0.0125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.984, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 3.3218, recall: 0.9856, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9831, kappa: 0.9812, kb_relative_information_score: 0.9823, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 3.3218, recall: 0.9831, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9895, kappa: 0.9883, kb_relative_information_score: 0.989, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 3.3218, recall: 0.9895, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9915, kappa: 0.9905, kb_relative_information_score: 0.9911, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 3.3218, recall: 0.9915, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4499, f_measure: 0.0075, kappa: -0.1002, kb_relative_information_score: -0.0354, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0063, predictive_accuracy: 0.01, prior_entropy: 3.3218, recall: 0.01, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.445, root_relative_squared_error: 1.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9863, kappa: 0.9848, kb_relative_information_score: 0.9857, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9863, prior_entropy: 3.3218, recall: 0.9863, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9666, kappa: 0.9614, kb_relative_information_score: 0.9637, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9707, predictive_accuracy: 0.9653, prior_entropy: 3.3218, recall: 0.9653, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9853, kappa: 0.9836, kb_relative_information_score: 0.9846, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 3.3218, recall: 0.9852, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9816, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.3218, recall: 0.9824, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9884, kappa: 0.9871, kb_relative_information_score: 0.9879, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 3.3218, recall: 0.9884, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9858, kappa: 0.9842, kb_relative_information_score: 0.9851, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 3.3218, recall: 0.9858, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9526, kappa: 0.9442, kb_relative_information_score: 0.9475, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9613, predictive_accuracy: 0.9498, prior_entropy: 3.3218, recall: 0.9498, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9801, kappa: 0.9779, kb_relative_information_score: 0.9792, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 3.3218, recall: 0.9801, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7676, kappa: 0.7378, kb_relative_information_score: 0.7534, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7787, predictive_accuracy: 0.7641, prior_entropy: 3.3218, recall: 0.7641, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9895, kappa: 0.9883, kb_relative_information_score: 0.989, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 3.3218, recall: 0.9895, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9862, kappa: 0.9846, kb_relative_information_score: 0.9855, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9861, prior_entropy: 3.3218, recall: 0.9861, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8131, kappa: 0.7476, kb_relative_information_score: 0.7625, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9235, predictive_accuracy: 0.7728, prior_entropy: 3.3218, recall: 0.7728, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9569, predictive_accuracy: 0.956, prior_entropy: 3.3218, recall: 0.956, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9906, kappa: 0.9895, kb_relative_information_score: 0.9901, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 3.3218, recall: 0.9906, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9127, kappa: 0.9027, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9141, predictive_accuracy: 0.9125, prior_entropy: 3.3218, recall: 0.9125, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9861, kappa: 0.9846, kb_relative_information_score: 0.9855, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 3.3218, recall: 0.9861, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9853, kappa: 0.9836, kb_relative_information_score: 0.9846, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 3.3218, recall: 0.9852, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9794, kappa: 0.9771, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9795, predictive_accuracy: 0.9794, prior_entropy: 3.3218, recall: 0.9794, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.2142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, kappa: 0.1698, kb_relative_information_score: 0.2192, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.2541, prior_entropy: 3.3218, recall: 0.2541, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.2875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9909, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3218, recall: 0.9913, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 0.1054, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.1454, prior_entropy: 3.3218, recall: 0.1454, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9748, kappa: 0.9713, kb_relative_information_score: 0.973, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9771, predictive_accuracy: 0.9742, prior_entropy: 3.3218, recall: 0.9742, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 0.9524, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9547, predictive_accuracy: 0.9544, prior_entropy: 3.3218, recall: 0.9544, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9833, kappa: 0.9814, kb_relative_information_score: 0.9825, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 3.3218, recall: 0.9833, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, recall: 0.9843, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.9822, kb_relative_information_score: 5513.709, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 3.3218, recall: 0.984, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1665, scimark_benchmark: 945.1585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9856, kappa: 0.984, kb_relative_information_score: 5533.4523, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 3.3218, recall: 0.9856, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1567, scimark_benchmark: 949.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9924, kappa: 0.9915, kb_relative_information_score: 1688.3233, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 3.3218, recall: 0.9923, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9065, scimark_benchmark: 943.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 946.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9516, kappa: 0.9462, kb_relative_information_score: 5103.1199, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9518, predictive_accuracy: 0.9516, prior_entropy: 3.3218, recall: 0.9516, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3179, scimark_benchmark: 947.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.951, kappa: 0.9454, kb_relative_information_score: 5102.5872, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 3.3218, recall: 0.9509, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3187, scimark_benchmark: 942.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.2175, kappa: 0.1841, kb_relative_information_score: 1303.5047, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2096, predictive_accuracy: 0.2658, prior_entropy: 3.3218, recall: 0.2658, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2773, scimark_benchmark: 944.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9481, kappa: 0.9423, kb_relative_information_score: 5272.3843, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 3.3218, recall: 0.948, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2954, scimark_benchmark: 945.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.7198, kappa: 0.7088, kb_relative_information_score: 2087.2191, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.792, predictive_accuracy: 0.7379, prior_entropy: 3.3218, recall: 0.7379, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8694, scimark_benchmark: 949.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3218, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9867, kappa: 0.9852, kb_relative_information_score: 0.986, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 3.3218, recall: 0.9867, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9483, kappa: 0.9389, kb_relative_information_score: 0.9425, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9585, predictive_accuracy: 0.945, prior_entropy: 3.3218, recall: 0.945, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3495,

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