OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 239 Supervised Classification autos 304 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1449.4352, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 926.6704, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1335.643, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.6436, kappa: 0.5626, kb_relative_information_score: 32.4441, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6683, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.269, root_relative_squared_error: 0.7916, scimark_benchmark: 1342.2985, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.4228, kappa: 0.3046, kb_relative_information_score: 24.1348, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5042, predictive_accuracy: 0.4478, prior_entropy: 2.3268, recall: 0.4478, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.1691, scimark_benchmark: 1327.035, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.6878, kappa: 0.6052, kb_relative_information_score: 47.1892, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7138, predictive_accuracy: 0.6866, prior_entropy: 2.3268, recall: 0.6866, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8148, scimark_benchmark: 1368.9272, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 937.1527, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.6716, kappa: 0.6034, kb_relative_information_score: 42.6248, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6709, predictive_accuracy: 0.6866, prior_entropy: 2.3268, recall: 0.6866, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.835, scimark_benchmark: 1314.9535, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.5988, kappa: 0.527, kb_relative_information_score: 43.8309, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6337, predictive_accuracy: 0.6269, prior_entropy: 2.3268, recall: 0.6269, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8088, scimark_benchmark: 1337.6765, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.3264, kappa: 0.2182, kb_relative_information_score: 18.2753, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.4161, predictive_accuracy: 0.403, prior_entropy: 2.3268, recall: 0.403, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9416, scimark_benchmark: 1350.4702, usercpu_time_millis: 220, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.6612, kappa: 0.571, kb_relative_information_score: 43.1331, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6817, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.9218, scimark_benchmark: 1346.3935, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0921, kb_relative_information_score: 0.8041, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.057, predictive_accuracy: 0.2388, prior_entropy: 2.3268, recall: 0.2388, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.0071, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7027, kappa: 0.6433, kb_relative_information_score: 45.9911, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7151, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.263, root_relative_squared_error: 0.7741, scimark_benchmark: 1340.4336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.7768, kappa: 0.7212, kb_relative_information_score: 51.1613, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.8098, predictive_accuracy: 0.7761, prior_entropy: 2.3268, recall: 0.7761, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.7216, scimark_benchmark: 1305.7138, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.6411, kappa: 0.5635, kb_relative_information_score: 32.547, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6612, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.268, root_relative_squared_error: 0.7888, scimark_benchmark: 1360.2771, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.7732, kappa: 0.7201, kb_relative_information_score: 53.4374, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7945, predictive_accuracy: 0.7761, prior_entropy: 2.3268, recall: 0.7761, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.7159, scimark_benchmark: 1330.6247, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.758, kappa: 0.7021, kb_relative_information_score: 53.2492, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7665, predictive_accuracy: 0.7612, prior_entropy: 2.3268, recall: 0.7612, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7054, scimark_benchmark: 1349.1028, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.5971, kappa: 0.5047, kb_relative_information_score: 32.3475, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6142, predictive_accuracy: 0.6119, prior_entropy: 2.3268, recall: 0.6119, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8578, scimark_benchmark: 1311.7039, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.5997, kappa: 0.5033, kb_relative_information_score: 32.0748, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6296, predictive_accuracy: 0.6119, prior_entropy: 2.3268, recall: 0.6119, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8599, scimark_benchmark: 1351.6526, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5569, kappa: 0.4514, kb_relative_information_score: 33.1748, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5528, predictive_accuracy: 0.5672, prior_entropy: 2.3268, recall: 0.5672, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8577, scimark_benchmark: 1262.9237, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1310.6407, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 914.2292, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6389, kappa: 0.552, kb_relative_information_score: 40.1933, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6631, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.8988, scimark_benchmark: 1320.4802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.5389, kappa: 0.4379, kb_relative_information_score: 34.3777, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5537, predictive_accuracy: 0.5522, prior_entropy: 2.3268, recall: 0.5522, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9445, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.4019, kappa: 0.3663, kb_relative_information_score: 15.7721, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3419, predictive_accuracy: 0.5075, prior_entropy: 2.3268, recall: 0.5075, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.9043, scimark_benchmark: 1333.5799, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.6752, kappa: 0.6064, kb_relative_information_score: 41.0301, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6728, predictive_accuracy: 0.6866, prior_entropy: 2.3268, recall: 0.6866, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.8455, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.3224, kappa: 0.1846, kb_relative_information_score: 16.844, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3952, predictive_accuracy: 0.3731, prior_entropy: 2.3268, recall: 0.3731, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.2456, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.6627, kappa: 0.5865, kb_relative_information_score: 41.3315, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6999, predictive_accuracy: 0.6716, prior_entropy: 2.3268, recall: 0.6716, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.9015, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.6446, kappa: 0.5731, kb_relative_information_score: 44.0144, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6574, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.7921, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, build_cpu_time: 5.071, build_memory: 1469846672, f_measure: 0.6644, kappa: 0.5837, kb_relative_information_score: 44.2049, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6929, predictive_accuracy: 0.6716, prior_entropy: 2.3268, recall: 0.6716, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8822, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, build_cpu_time: 2.424, build_memory: 1186628432, f_measure: 0.6509, kappa: 0.5662, kb_relative_information_score: 42.777, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6669, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.9023, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, build_cpu_time: 1.593, build_memory: 457404528, f_measure: 0.6067, kappa: 0.5134, kb_relative_information_score: 40.3756, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6142, predictive_accuracy: 0.6119, prior_entropy: 2.3268, recall: 0.6119, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.9285, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, build_cpu_time: 0.681, build_memory: 260418264, f_measure: 0.6404, kappa: 0.5521, kb_relative_information_score: 40.567, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6461, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.934, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 0.004, build_memory: 1565292336, f_measure: 0.3806, kappa: 0.2444, kb_relative_information_score: 25.5231, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3992, predictive_accuracy: 0.403, prior_entropy: 2.3268, recall: 0.403, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9824, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 0.005, build_memory: 388593800, f_measure: 0.3806, kappa: 0.2444, kb_relative_information_score: 25.5231, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3992, predictive_accuracy: 0.403, prior_entropy: 2.3268, recall: 0.403, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9824, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 0.004, build_memory: 118294960, f_measure: 0.3806, kappa: 0.2444, kb_relative_information_score: 25.5231, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3992, predictive_accuracy: 0.403, prior_entropy: 2.3268, recall: 0.403, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9824, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 0.004, build_memory: 871618816, f_measure: 0.3806, kappa: 0.2444, kb_relative_information_score: 25.5231, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3992, predictive_accuracy: 0.403, prior_entropy: 2.3268, recall: 0.403, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9824, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 0.022, build_memory: 317883000, f_measure: 0.3806, kappa: 0.2444, kb_relative_information_score: 25.5231, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3992, predictive_accuracy: 0.403, prior_entropy: 2.3268, recall: 0.403, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9824, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.004, build_memory: 757819512, f_measure: 0.654, kappa: 0.5716, kb_relative_information_score: 41.4454, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.671, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8737, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.005, build_memory: 2181130824, f_measure: 0.654, kappa: 0.5716, kb_relative_information_score: 41.4454, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.671, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8737, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.002, build_memory: 2566303632, f_measure: 0.654, kappa: 0.5716, kb_relative_information_score: 41.4454, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.671, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8737, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.002, build_memory: 1163197512, f_measure: 0.654, kappa: 0.5716, kb_relative_information_score: 41.4454, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.671, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8737, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.001, build_memory: 449964200, f_measure: 0.654, kappa: 0.5716, kb_relative_information_score: 41.4454, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.671, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8737, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 0.043, build_memory: 1703653944, f_measure: 0.7737, kappa: 0.7189, kb_relative_information_score: 45.4141, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7963, predictive_accuracy: 0.7761, prior_entropy: 2.3268, recall: 0.7761, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.6295, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 0.045, build_memory: 1594710752, f_measure: 0.7737, kappa: 0.7189, kb_relative_information_score: 45.4141, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7963, predictive_accuracy: 0.7761, prior_entropy: 2.3268, recall: 0.7761, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.6295, scimark_benchmark: 945.5885,

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