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: 0.9922, f_measure: 0.986, kappa: 0.9844, kb_relative_information_score: 0.9853, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 3.3218, recall: 0.9859, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1767,
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: 0.9537, 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: 0.9938, 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: 0.9901, f_measure: 0.9822, 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: 0.9823, 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: 0.938, 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: 0.9939, 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: 0.9942, 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: 0.9906, 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: 0.9831, 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: 0.9911, 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: 0.9841, 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: 0.9807, 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: 0.8445, f_measure: 0.7644, kappa: 0.6889, kb_relative_information_score: 0.7071, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9007, predictive_accuracy: 0.7199, prior_entropy: 3.3218, recall: 0.7199, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7889,
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: 0.9902, 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: 0.9953, 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: 0.9953, 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: 0.9096, 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: 0.9983, 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: 0.4982, 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: 948.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8955, kappa: 0.8839, kb_relative_information_score: 4968.5651, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8956, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4456, scimark_benchmark: 945.824,
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: 946.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8589, kappa: 0.843, kb_relative_information_score: 4708.1345, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8593, predictive_accuracy: 0.8587, prior_entropy: 3.3218, recall: 0.8587, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4954, scimark_benchmark: 946.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, kappa: 0.0103, kb_relative_information_score: 0.0696, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.18, number_of_instances: 5620, predictive_accuracy: 0.111, prior_entropy: 3.3218, recall: 0.111, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.4055,
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: 0.7441, f_measure: 0.6149, kappa: 0.4886, kb_relative_information_score: 0.5186, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9161, predictive_accuracy: 0.5402, prior_entropy: 3.3218, recall: 0.5402, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0108,
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: 0.9694, f_measure: 0.9077, kappa: 0.8966, kb_relative_information_score: 5085.4803, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.912, predictive_accuracy: 0.9069, prior_entropy: 3.3218, recall: 0.9069, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4438, scimark_benchmark: 938.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.904, kappa: 0.8934, kb_relative_information_score: 5044.1976, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9041, predictive_accuracy: 0.9041, prior_entropy: 3.3218, recall: 0.9041, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4458, scimark_benchmark: 947.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8719, kappa: 0.8576, kb_relative_information_score: 4782.6152, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.872, predictive_accuracy: 0.8719, prior_entropy: 3.3218, recall: 0.8719, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4802, scimark_benchmark: 947.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.983, kb_relative_information_score: 5505.5408, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9849, predictive_accuracy: 0.9847, prior_entropy: 3.3218, recall: 0.9847, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8478, kappa: 0.8312, kb_relative_information_score: 4727.0699, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 3.3218, recall: 0.848, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5811, scimark_benchmark: 938.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9837, 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: 0.9842, 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: 0.994, f_measure: 0.9892, kappa: 0.9879, kb_relative_information_score: 0.9887, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 3.3218, recall: 0.9891, relative_absolute_error: 0.0121, 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: 0.9937, 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: 0.9687, f_measure: 0.9439, kappa: 0.9373, kb_relative_information_score: 0.941, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9451, predictive_accuracy: 0.9436, prior_entropy: 3.3218, recall: 0.9436, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9809, kappa: 0.9784, kb_relative_information_score: 0.9797, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9818, predictive_accuracy: 0.9806, prior_entropy: 3.3218, recall: 0.9806, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2076,
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: 0.9841, 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: 0.9955, 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: 0.9954, 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: 0.9721, 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: 0.9931, 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: 0.9609, f_measure: 0.9302, kappa: 0.9219, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9321, predictive_accuracy: 0.9297, prior_entropy: 3.3218, recall: 0.9297, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.6224, kappa: 0.5596, kb_relative_information_score: 0.5855, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.683, predictive_accuracy: 0.6037, prior_entropy: 3.3218, recall: 0.6037, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.9384,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9609, kappa: 0.9565, kb_relative_information_score: 1672.4824, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9614, predictive_accuracy: 0.9609, prior_entropy: 3.3218, recall: 0.9609, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9083, scimark_benchmark: 949.694,
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: 0.9932, f_measure: 0.9877, kappa: 0.9864, kb_relative_information_score: 0.9872, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 3.3218, recall: 0.9877, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1652,
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: 0.9568, 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: 0.9988, 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: 0.9533, f_measure: 0.9031, kappa: 0.8924, kb_relative_information_score: 5026.8564, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9032, predictive_accuracy: 0.9032, prior_entropy: 3.3218, recall: 0.9032, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.447, scimark_benchmark: 945.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.1597, kappa: 0.0902, kb_relative_information_score: 620.931, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9095, predictive_accuracy: 0.1827, prior_entropy: 3.3218, recall: 0.1827, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.003, scimark_benchmark: 946.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 5114.0978, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.3218, recall: 0.9815, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2857, scimark_benchmark: 943.0814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8723, kappa: 0.858, kb_relative_information_score: 4789.3535, mean_absolute_error: 0.0353, 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: 0.1962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4785, scimark_benchmark: 945.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9177, kappa: 0.9081, kb_relative_information_score: 1652.5113, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9202, predictive_accuracy: 0.9173, prior_entropy: 3.3218, recall: 0.9173, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9106, scimark_benchmark: 945.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9037, kappa: 0.893, kb_relative_information_score: 5042.1898, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9037, predictive_accuracy: 0.9037, prior_entropy: 3.3218, recall: 0.9037, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.134, root_relative_squared_error: 0.4467, scimark_benchmark: 944.4828,

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