OpenML
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 3011 Supervised Classification hypothyroid 401 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9462, kappa: 0.6124, kb_relative_information_score: 2387.0487, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9584, predictive_accuracy: 0.9573, prior_entropy: 0.4715, recall: 0.9573, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.532, scimark_benchmark: 1168.3268, usercpu_time_millis: 2490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.994, kappa: 0.9604, kb_relative_information_score: 3463.1796, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.2793, scimark_benchmark: 1322.4968, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9479, kappa: 0.7147, kb_relative_information_score: 2380.5431, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9496, predictive_accuracy: 0.9539, prior_entropy: 0.4715, recall: 0.9539, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.6341, scimark_benchmark: 1328.941, usercpu_time_millis: 34600, usercpu_time_millis_testing: 34600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9405, kappa: 0.5598, kb_relative_information_score: 2015.7945, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.939, predictive_accuracy: 0.9488, prior_entropy: 0.4715, recall: 0.9488, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.7528, scimark_benchmark: 1268.9931, usercpu_time_millis: 89060, usercpu_time_millis_testing: 89060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.9079, kappa: 0.3385, kb_relative_information_score: 688.6638, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9054, predictive_accuracy: 0.9112, prior_entropy: 0.4715, recall: 0.9112, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.2106, root_relative_squared_error: 1.1059, scimark_benchmark: 1331.5882, usercpu_time_millis: 3040, usercpu_time_millis_testing: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.9079, kappa: 0.3385, kb_relative_information_score: 697.5052, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9054, predictive_accuracy: 0.9112, prior_entropy: 0.4715, recall: 0.9112, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.1066, scimark_benchmark: 1346.3935, usercpu_time_millis: 10530, usercpu_time_millis_testing: 10530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9445, kappa: 0.6221, kb_relative_information_score: -18479.3227, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9696, predictive_accuracy: 0.9239, prior_entropy: 0.4715, recall: 0.9239, relative_absolute_error: 4.2366, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.3813, root_relative_squared_error: 2.0023, scimark_benchmark: 996.6105, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.9056, kappa: 0.2354, kb_relative_information_score: -22057.5268, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.885, predictive_accuracy: 0.9332, prior_entropy: 0.4715, recall: 0.9332, relative_absolute_error: 4.976, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.419, root_relative_squared_error: 2.2003, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.934, kappa: 0.5155, kb_relative_information_score: 1907.5422, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.946, predictive_accuracy: 0.9494, prior_entropy: 0.4715, recall: 0.9494, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.8355, scimark_benchmark: 1329.8847, usercpu_time_millis: 44000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 43940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9901, kappa: 0.9333, kb_relative_information_score: 2452.0252, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9899, predictive_accuracy: 0.9905, prior_entropy: 0.4715, recall: 0.9905, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.4152, scimark_benchmark: 1346.3935, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9955, kappa: 0.9708, kb_relative_information_score: 3594.3315, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9953, predictive_accuracy: 0.9958, prior_entropy: 0.4715, recall: 0.9958, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.2136, scimark_benchmark: 1329.8847, usercpu_time_millis: 4940, usercpu_time_millis_training: 4940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9958, kappa: 0.9727, kb_relative_information_score: 3598.296, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.2063, scimark_benchmark: 1316.5986, usercpu_time_millis: 2610, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9958, kappa: 0.9728, kb_relative_information_score: 3425.7274, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2307, scimark_benchmark: 1307.9718, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9952, kappa: 0.9692, kb_relative_information_score: 3467.673, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9951, predictive_accuracy: 0.9955, prior_entropy: 0.4715, recall: 0.9955, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.2347, scimark_benchmark: 1330.8781, usercpu_time_millis: 710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.892, kappa: 0.0622, kb_relative_information_score: 919.0805, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9219, predictive_accuracy: 0.9252, prior_entropy: 0.4715, recall: 0.9252, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1933, root_relative_squared_error: 1.0153, scimark_benchmark: 1270.2428, usercpu_time_millis: 8070, usercpu_time_millis_testing: 1750, usercpu_time_millis_training: 6320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9888, kappa: 0.9242, kb_relative_information_score: 3249.3271, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9891, prior_entropy: 0.4715, recall: 0.9891, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.3536, scimark_benchmark: 765.566, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.9244, kappa: 0.4513, kb_relative_information_score: 1045.9729, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9189, predictive_accuracy: 0.9321, prior_entropy: 0.4715, recall: 0.9321, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.9373, scimark_benchmark: 1353.3179, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.994, kappa: 0.9604, kb_relative_information_score: 3463.1796, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.2793, scimark_benchmark: 1326.014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8927, kappa: 0.077, kb_relative_information_score: -3012.0484, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8762, predictive_accuracy: 0.9255, prior_entropy: 0.4715, recall: 0.9255, relative_absolute_error: 1.187, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.9334, scimark_benchmark: 1333.5799, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9672, kappa: 0.7623, kb_relative_information_score: 2465.6522, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9678, predictive_accuracy: 0.969, prior_entropy: 0.4715, recall: 0.969, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.5826, scimark_benchmark: 1323.976, usercpu_time_millis: 3850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.8858, kb_relative_information_score: -11.0557, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.4715, recall: 0.9229, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1904, root_relative_squared_error: 1, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9602, kappa: 0.7955, kb_relative_information_score: 2847.4114, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9532, predictive_accuracy: 0.9706, prior_entropy: 0.4715, recall: 0.9706, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.5503, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9943, kappa: 0.9617, kb_relative_information_score: 3486.9433, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9942, predictive_accuracy: 0.9944, prior_entropy: 0.4715, recall: 0.9944, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.2724, scimark_benchmark: 1319.59, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9917, kappa: 0.9441, kb_relative_information_score: 3422.4198, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 0.4715, recall: 0.9918, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.321, scimark_benchmark: 1464.9318, usercpu_time_millis: 1070, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.995, kappa: 0.9673, kb_relative_information_score: 3436.0865, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9948, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.046, root_relative_squared_error: 0.2417, scimark_benchmark: 1341.7207, usercpu_time_millis: 1290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9867, kappa: 0.9089, kb_relative_information_score: 3151.4836, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.4715, recall: 0.9867, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3899, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.947, kappa: 0.6172, kb_relative_information_score: 1697.646, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9474, predictive_accuracy: 0.9541, prior_entropy: 0.4715, recall: 0.9541, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.7203, scimark_benchmark: 1332.4146, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9461, kappa: 0.61, kb_relative_information_score: 1648.7574, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9472, predictive_accuracy: 0.9533, prior_entropy: 0.4715, recall: 0.9533, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7276, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9468, kappa: 0.6158, kb_relative_information_score: 1693.0202, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9476, predictive_accuracy: 0.9541, prior_entropy: 0.4715, recall: 0.9541, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.725, scimark_benchmark: 1363.434, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9201, kappa: 0.4241, kb_relative_information_score: 2092.61, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9458, predictive_accuracy: 0.9435, prior_entropy: 0.4715, recall: 0.9435, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.6203, scimark_benchmark: 860.584, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9173, kappa: 0.3993, kb_relative_information_score: 1975.6683, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9444, predictive_accuracy: 0.9419, prior_entropy: 0.4715, recall: 0.9419, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.6464, scimark_benchmark: 1363.454, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3595.0645, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.038, root_relative_squared_error: 0.1994, scimark_benchmark: 1320.2556, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9963, kappa: 0.9764, kb_relative_information_score: 3549.7669, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9961, predictive_accuracy: 0.9966, prior_entropy: 0.4715, recall: 0.9966, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.2022, scimark_benchmark: 1335.4072, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9945, kappa: 0.9638, kb_relative_information_score: 3457.0345, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9943, predictive_accuracy: 0.9947, prior_entropy: 0.4715, recall: 0.9947, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.047, root_relative_squared_error: 0.2469, scimark_benchmark: 1384.4418, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9128, kappa: 0.3361, kb_relative_information_score: 2203.0714, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9083, predictive_accuracy: 0.9303, prior_entropy: 0.4715, recall: 0.9303, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.6384, scimark_benchmark: 1363.434, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3595.0645, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.038, root_relative_squared_error: 0.1994, scimark_benchmark: 924.6116, usercpu_time_millis: 1200, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9963, kappa: 0.9764, kb_relative_information_score: 3549.7669, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9961, predictive_accuracy: 0.9966, prior_entropy: 0.4715, recall: 0.9966, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.2022, scimark_benchmark: 923.9763, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9958, kappa: 0.9728, kb_relative_information_score: 3425.7274, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2307, scimark_benchmark: 902.4773, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.8858, kb_relative_information_score: -11.0557, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.4715, recall: 0.9229, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1904, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9931, kappa: 0.954, kb_relative_information_score: 3061.1136, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9928, predictive_accuracy: 0.9934, prior_entropy: 0.4715, recall: 0.9934, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3357, scimark_benchmark: 938.9865, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.989, kappa: 0.926, kb_relative_information_score: 3057.2265, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 0.4715, recall: 0.9891, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.3848, scimark_benchmark: 932.3943, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9958, kappa: 0.9728, kb_relative_information_score: 3427.4537, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.2326, scimark_benchmark: 902.4773, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8858, kb_relative_information_score: 824.4163, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.4715, recall: 0.9229, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1964, root_relative_squared_error: 1.0313, scimark_benchmark: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.996, kappa: 0.9745, kb_relative_information_score: 3550.1801, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9958, predictive_accuracy: 0.9963, prior_entropy: 0.4715, recall: 0.9963, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.2115, scimark_benchmark: 943.6956, usercpu_time_millis: 440, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9469, kappa: 0.7065, kb_relative_information_score: 2306.4646, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9482, predictive_accuracy: 0.9528, prior_entropy: 0.4715, recall: 0.9528, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.6505, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3599.2273, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.2094, scimark_benchmark: 915.2795, usercpu_time_millis: 850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9966, kappa: 0.9782, kb_relative_information_score: 3599.4841, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.2081, scimark_benchmark: 915.2795, usercpu_time_millis: 820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9971, kappa: 0.9818, kb_relative_information_score: 3615.3263, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9973, prior_entropy: 0.4715, recall: 0.9973, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.1913, scimark_benchmark: 947.0793, usercpu_time_millis: 850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9959, kappa: 0.9727, kb_relative_information_score: 3573.042, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9958, predictive_accuracy: 0.996, prior_entropy: 0.4715, recall: 0.996, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.2301, scimark_benchmark: 941.8057, usercpu_time_millis: 13040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9891, kappa: 0.926, kb_relative_information_score: 3259.7595, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9888, predictive_accuracy: 0.9894, prior_entropy: 0.4715, recall: 0.9894, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.3497, scimark_benchmark: 915.2795, usercpu_time_millis: 1350, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8858, kb_relative_information_score: -18154.7167, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.4715, recall: 0.9229, relative_absolute_error: 3.5499, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.7083, scimark_benchmark: 915.2795, usercpu_time_millis: 5480, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 16.246, build_memory: 329436186.4751, f_measure: 0.9391, kappa: 0.5536, kb_relative_information_score: 761.4555, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9469, predictive_accuracy: 0.951, prior_entropy: 0.4715, recall: 0.951, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.7567, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 17.6382, build_memory: 426582661.315, f_measure: 0.9391, kappa: 0.5536, kb_relative_information_score: 761.4555, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9469, predictive_accuracy: 0.951, prior_entropy: 0.4715, recall: 0.951, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.7567, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 17.4444, build_memory: 967269921.3955, f_measure: 0.9391, kappa: 0.5536, kb_relative_information_score: 761.4555, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9469, predictive_accuracy: 0.951, prior_entropy: 0.4715, recall: 0.951, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.7567, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 16.8634, build_memory: 988283392.6744, f_measure: 0.9391, kappa: 0.5536, kb_relative_information_score: 761.4555, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9469, predictive_accuracy: 0.951, prior_entropy: 0.4715, recall: 0.951, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.7567, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 13.4221, build_memory: 563953890.4199, f_measure: 0.9366, kappa: 0.5361, kb_relative_information_score: 600.363, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9466, predictive_accuracy: 0.9499, prior_entropy: 0.4715, recall: 0.9499, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.7678, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.27, build_memory: 764464023.2683, f_measure: 0.9945, kappa: 0.9637, kb_relative_information_score: 3537.7417, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9942, predictive_accuracy: 0.9947, prior_entropy: 0.4715, recall: 0.9947, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.2541, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.3766, build_memory: 1173585947.105, f_measure: 0.9947, kappa: 0.9654, kb_relative_information_score: 3544.331, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9945, predictive_accuracy: 0.995, prior_entropy: 0.4715, recall: 0.995, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.2497, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.3477, build_memory: 105369442.4942, f_measure: 0.9947, kappa: 0.9654, kb_relative_information_score: 3545.7258, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9945, predictive_accuracy: 0.995, prior_entropy: 0.4715, recall: 0.995, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2483, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.5352, build_memory: 1074031201.824, f_measure: 0.9947, kappa: 0.9654, kb_relative_information_score: 3545.7258, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9945, predictive_accuracy: 0.995, prior_entropy: 0.4715, recall: 0.995, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2483, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.5033, build_memory: 986363200.492, f_measure: 0.9947, kappa: 0.9654, kb_relative_information_score: 3545.7258, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9945, predictive_accuracy: 0.995, prior_entropy: 0.4715, recall: 0.995, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2483, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, build_cpu_time: 1.0055, build_memory: 650887047.4189, f_measure: 0.9869, kappa: 0.91, kb_relative_information_score: 3245.0483, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9867, predictive_accuracy: 0.987, prior_entropy: 0.4715, recall: 0.987, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.419, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 0.6536, build_memory: 723166877.9894, f_measure: 0.9871, kappa: 0.9118, kb_relative_information_score: 3254.278, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.4715, recall: 0.9873, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.079, root_relative_squared_error: 0.4146, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, build_cpu_time: 0.3515, build_memory: 429449187.5461, f_measure: 0.9874, kappa: 0.9135, kb_relative_information_score: 3260.2548, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.9872, predictive_accuracy: 0.9875, prior_entropy: 0.4715, recall: 0.9875, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.4112, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, build_cpu_time: 0.2383, build_memory: 567495928.9947, f_measure: 0.9871, kappa: 0.9117, kb_relative_information_score: 3248.9846, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.4715, recall: 0.9873, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.414, scimark_benchmark: 939.084,

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