OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4580 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.1914, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3962, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 143.0152, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2821, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 133.5813, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.8837, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3161, scimark_benchmark: 1297.2338, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 133.5813, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101, scimark_benchmark: 1360.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1316.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.5543, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3732, scimark_benchmark: 1316.7714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 122.1549, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4827, scimark_benchmark: 1343.0491, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 122.1549, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4827, scimark_benchmark: 1325.2932, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 138.1874, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.377, scimark_benchmark: 1316.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 86.907, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1284.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9564, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1307.3764, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.5994, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3341, scimark_benchmark: 1182.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 137.2053, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3163, scimark_benchmark: 1176.0388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1313.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 129.909, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3405, scimark_benchmark: 1318.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 125.9632, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4296, scimark_benchmark: 1337.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 121.6033, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3983, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 121.6033, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3983, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.5316, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3169, scimark_benchmark: 1372.5518, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 133.5813, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.7736, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4114, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3251, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2885, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.3787, build_memory: 116232229.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.2566, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3094, scimark_benchmark: 912.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 1.0098, build_memory: 666978757.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.0065, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3141, scimark_benchmark: 925.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 2.0724, build_memory: 3046040765.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1684, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3097, scimark_benchmark: 890.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.0025, build_memory: 424252781.6, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.407, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3306, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.0012, build_memory: 178740108.8, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.468, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.0013, build_memory: 478923959.2, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.468, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.0016, build_memory: 1098623140.8, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 138.468, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 0.005, build_memory: 771487050.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.7701, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3239, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.1865, build_memory: 2099750368, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3581, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3087, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.5719, build_memory: 1879186602.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.26, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3093, scimark_benchmark: 916.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4263, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3259, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, build_cpu_time: 6.7138, build_memory: 34439215.2, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 942.7834,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 1.7898, build_memory: 204387740, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0473, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 942.3919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 136.2194, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4129, scimark_benchmark: 1349.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386, scimark_benchmark: 1286.2211,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 145.8928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2449, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1519.6032, usercpu_time_millis: 1.855, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.08, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 137.6784, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4243, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.05,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4541, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3256, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4541, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3256, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4541, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3256, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.4541, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3256, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.25,

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