Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21739 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 4923.414, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8958, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4461, scimark_benchmark: 1923.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8667, kappa: 0.8517, kb_relative_information_score: 4835.7788, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.867, predictive_accuracy: 0.8665, prior_entropy: 3.3218, recall: 0.8665, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5446, scimark_benchmark: 1995.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1969.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.4696, 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: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 1993.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 5086.2756, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3218, recall: 0.9665, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.3256, scimark_benchmark: 1965.5234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 1681.9086, mean_absolute_error: 0.1601, 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: 0.8897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 1978.2423,
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: 2008.2715,
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: 2010.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9421, kappa: 0.9357, kb_relative_information_score: 5281.6776, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9421, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3568, scimark_benchmark: 2010.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9872, kappa: 0.9858, kb_relative_information_score: 5540.4067, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9873, predictive_accuracy: 0.9872, prior_entropy: 3.3218, recall: 0.9872, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1686, scimark_benchmark: 2014.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9179, kappa: 0.9087, kb_relative_information_score: 5027.5954, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9183, predictive_accuracy: 0.9178, prior_entropy: 3.3218, recall: 0.9178, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.373, scimark_benchmark: 2007.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9088, kappa: 0.8982, kb_relative_information_score: 5032.2821, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9097, predictive_accuracy: 0.9084, prior_entropy: 3.3218, recall: 0.9084, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.436, scimark_benchmark: 2008.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1677.9014, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3218, recall: 0.971, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 944.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 946.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9886, kappa: 0.9873, kb_relative_information_score: 1686.6139, mean_absolute_error: 0.1601, 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: 0.8893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9065, scimark_benchmark: 929.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9672, kappa: 0.9636, kb_relative_information_score: 5088.8966, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 3.3218, recall: 0.9673, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3219, scimark_benchmark: 946.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9086, kappa: 0.8986, kb_relative_information_score: 5066.9753, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9087, predictive_accuracy: 0.9087, prior_entropy: 3.3218, recall: 0.9087, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.4343, scimark_benchmark: 947.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9788, kappa: 0.9765, kb_relative_information_score: 1680.0679, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.3218, recall: 0.9788, 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: 945.6945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9021, kappa: 0.8913, kb_relative_information_score: 5016.5196, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9021, predictive_accuracy: 0.9021, prior_entropy: 3.3218, recall: 0.9021, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4482, scimark_benchmark: 948.3668,
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: 945.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.0501, kappa: 0.021, kb_relative_information_score: 466.4228, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.3851, predictive_accuracy: 0.1206, prior_entropy: 3.3218, recall: 0.1206, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.305, root_relative_squared_error: 1.0168, scimark_benchmark: 951.1828,
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: 912.3681,
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: 0.9524, 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: 0.9532, 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: 0.9962, f_measure: 0.9802, kappa: 0.9781, kb_relative_information_score: 1682.0462, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 3.3218, recall: 0.9802, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9071, scimark_benchmark: 948.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9361, kappa: 0.9213, kb_relative_information_score: 1625.5839, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9558, predictive_accuracy: 0.9292, prior_entropy: 3.3218, recall: 0.9292, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 949.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9716, kappa: 0.9684, kb_relative_information_score: 5429.0648, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 3.3218, recall: 0.9715, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.2254, scimark_benchmark: 942.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8722, kappa: 0.858, kb_relative_information_score: 4775.9906, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8725, predictive_accuracy: 0.8722, prior_entropy: 3.3218, recall: 0.8722, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4813, scimark_benchmark: 946.5321,
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: 911.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9662, kappa: 0.9624, kb_relative_information_score: 5395.9483, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9663, predictive_accuracy: 0.9662, prior_entropy: 3.3218, recall: 0.9662, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.2439, scimark_benchmark: 944.1523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 5539.7432, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.156, scimark_benchmark: 946.869,
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: 0.9951, f_measure: 0.9535, kappa: 0.9484, kb_relative_information_score: 5188.3303, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 3.3218, recall: 0.9536, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3147, scimark_benchmark: 898.2984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9607, kappa: 0.9563, kb_relative_information_score: 4964.2385, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9609, predictive_accuracy: 0.9607, prior_entropy: 3.3218, recall: 0.9607, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3436, scimark_benchmark: 947.2792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.6045, kappa: 0.5672, kb_relative_information_score: 2559.7445, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.6102, predictive_accuracy: 0.6105, prior_entropy: 3.3218, recall: 0.6105, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.239, root_relative_squared_error: 0.7966, scimark_benchmark: 947.5991,
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: 949.1936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9435, kappa: 0.9336, kb_relative_information_score: 1637.0195, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9546, predictive_accuracy: 0.9402, prior_entropy: 3.3218, recall: 0.9402, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9122, scimark_benchmark: 946.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 437.2861, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0216, scimark_benchmark: 910.8968,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8657, kappa: 0.849, kb_relative_information_score: 4844.1526, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8827, predictive_accuracy: 0.8641, prior_entropy: 3.3218, recall: 0.8641, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319, scimark_benchmark: 947.84,
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: 950.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0195, kappa: 0.0004, kb_relative_information_score: 437.5149, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.112, predictive_accuracy: 0.1021, prior_entropy: 3.3218, recall: 0.1021, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0216, scimark_benchmark: 945.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5543.8121, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9825, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1617, scimark_benchmark: 945.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8206, kappa: 0.7545, kb_relative_information_score: 1422.5567, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9306, predictive_accuracy: 0.779, prior_entropy: 3.3218, recall: 0.779, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9324, scimark_benchmark: 947.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 944.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 1687.97, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 3.3218, recall: 0.9918, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9074, scimark_benchmark: 909.6301,
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: 911.4701,
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: 947.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.1376, kappa: 0.0754, kb_relative_information_score: 605.8421, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9093, predictive_accuracy: 0.1694, prior_entropy: 3.3218, recall: 0.1694, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.0043, scimark_benchmark: 936.5785,
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: 0.4997, f_measure: 0.0188, kb_relative_information_score: 437.4022, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0104, predictive_accuracy: 0.1018, prior_entropy: 3.3218, recall: 0.1018, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0216, scimark_benchmark: 946.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9852, kappa: 0.9836, kb_relative_information_score: 5536.6111, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9854, predictive_accuracy: 0.9852, prior_entropy: 3.3218, recall: 0.9852, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1562, scimark_benchmark: 943.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9513, kappa: 0.9458, kb_relative_information_score: 5102.6953, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9515, predictive_accuracy: 0.9512, prior_entropy: 3.3218, recall: 0.9512, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.319, scimark_benchmark: 948.011,

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