Task
Supervised Classification on iris

Supervised Classification on iris

Task 1823 Supervised Classification iris 329 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9228, kappa: 0.884, kb_relative_information_score: 651.6004, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 1.585, recall: 0.9227, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4299, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 693.3641, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.322, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 681.9661, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 682.8818, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3811, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 681.9661, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 682.8818, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3811, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9507, kappa: 0.926, kb_relative_information_score: 679.5735, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 1.585, recall: 0.9507, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3311, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 681.9661, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 682.8818, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3811, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 682.8818, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3811, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.968, kappa: 0.952, kb_relative_information_score: 717.1423, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 1.585, recall: 0.968, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3098, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.968, kappa: 0.952, kb_relative_information_score: 717.1423, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 1.585, recall: 0.968, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3098, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 682.8818, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3811, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9507, kappa: 0.926, kb_relative_information_score: 679.5735, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 1.585, recall: 0.9507, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3311, scimark_benchmark: 1312.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 693.3641, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.322, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 681.9661, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9507, kappa: 0.926, kb_relative_information_score: 669.5952, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 1.585, recall: 0.9507, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3338, scimark_benchmark: 1329.8902, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 693.8493, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9454, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4023, scimark_benchmark: 1327.2954, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9587, kappa: 0.938, kb_relative_information_score: 704.888, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 1.585, recall: 0.9587, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.345, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9587, kappa: 0.938, kb_relative_information_score: 704.888, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 1.585, recall: 0.9587, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.345, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 695.2508, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3934, scimark_benchmark: 1344.4042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9351, kappa: 0.902, kb_relative_information_score: 674.3691, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9359, predictive_accuracy: 0.9347, prior_entropy: 1.585, recall: 0.9347, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4302, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9355, kappa: 0.904, kb_relative_information_score: 682.9147, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9354, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4095, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9355, kappa: 0.904, kb_relative_information_score: 682.9147, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9354, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4095, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9307, kappa: 0.896, kb_relative_information_score: 616.0138, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9308, predictive_accuracy: 0.9307, prior_entropy: 1.585, recall: 0.9307, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4787, scimark_benchmark: 1313.6093, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9213, kappa: 0.882, kb_relative_information_score: 366.7785, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9218, predictive_accuracy: 0.9213, prior_entropy: 1.585, recall: 0.9213, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6744, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.919, kappa: 0.878, kb_relative_information_score: 652.0267, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9196, predictive_accuracy: 0.9187, prior_entropy: 1.585, recall: 0.9187, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4793, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 631.3122, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3663, scimark_benchmark: 1275.9462, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 678.8538, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3247, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9507, kappa: 0.926, kb_relative_information_score: 679.5735, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 1.585, recall: 0.9507, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3311, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.968, kappa: 0.952, kb_relative_information_score: 717.1423, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 1.585, recall: 0.968, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3098, scimark_benchmark: 985.4928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 681.1252, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693, scimark_benchmark: 1338.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8862, kappa: 0.828, kb_relative_information_score: 619.7081, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.8875, predictive_accuracy: 0.8853, prior_entropy: 1.585, recall: 0.8853, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5527, scimark_benchmark: 1315.3709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 681.9661, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3909, scimark_benchmark: 922.1419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 702.0825, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9537, 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: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 682.8818, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3811, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9228, kappa: 0.884, kb_relative_information_score: 651.6004, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 1.585, recall: 0.9227, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4299, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 693.3641, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.322, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 684.2846, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.936, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4382, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9453, kappa: 0.918, kb_relative_information_score: 674.8696, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9454, predictive_accuracy: 0.9453, prior_entropy: 1.585, recall: 0.9453, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3924, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.936, kappa: 0.904, kb_relative_information_score: 670.4402, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9363, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4178, scimark_benchmark: 1327.6929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 708.9279, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8854, kappa: 0.83, kb_relative_information_score: 633.629, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.8914, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5831, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9364, kappa: 0.904, kb_relative_information_score: 674.8731, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9372, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.424, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9373, kappa: 0.906, kb_relative_information_score: 685.6537, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9379, predictive_accuracy: 0.9373, prior_entropy: 1.585, recall: 0.9373, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4336, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.948, kappa: 0.922, kb_relative_information_score: 696.6063, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 1.585, recall: 0.948, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.395, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0003, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 750, 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: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9364, kappa: 0.904, kb_relative_information_score: 675.3691, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9372, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4261, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.3123, build_memory: 2156938653.6, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 703.9945, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.157, root_relative_squared_error: 0.333, scimark_benchmark: 922.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.2945, build_memory: 1015645658.4, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 703.9945, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.157, root_relative_squared_error: 0.333, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.2433, build_memory: 1196856786.4, f_measure: 0.956, kappa: 0.934, kb_relative_information_score: 703.9886, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 1.585, recall: 0.956, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3331, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, build_cpu_time: 0.2215, build_memory: 1029617541.6, f_measure: 0.9587, kappa: 0.938, kb_relative_information_score: 703.7419, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 1.585, recall: 0.9587, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.323, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, build_cpu_time: 0.0931, build_memory: 734526406.4, f_measure: 0.9573, kappa: 0.936, kb_relative_information_score: 700.9998, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4444, number_of_instances: 750, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 1.585, recall: 0.9573, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3299, scimark_benchmark: 923.564,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs