Task
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 3025 Supervised Classification hypothyroid 171 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9951, kappa: 0.9682, kb_relative_information_score: 34391.6516, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.995, predictive_accuracy: 0.9954, prior_entropy: 0.4715, recall: 0.9954, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.239, scimark_benchmark: 851.2074, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.8937, kappa: 0.0796, kb_relative_information_score: 9489.8429, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9246, predictive_accuracy: 0.9261, prior_entropy: 0.4715, recall: 0.9261, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0097, scimark_benchmark: 931.771, usercpu_time_millis: 7210, usercpu_time_millis_testing: 1600, usercpu_time_millis_training: 5610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 938.191, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9948, kappa: 0.9664, kb_relative_information_score: 34712.4815, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9947, predictive_accuracy: 0.9951, prior_entropy: 0.4715, recall: 0.9951, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.2405, scimark_benchmark: 941.6675, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.8937, kappa: 0.0796, kb_relative_information_score: 9489.8429, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9246, predictive_accuracy: 0.9261, prior_entropy: 0.4715, recall: 0.9261, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0097, scimark_benchmark: 932.438, usercpu_time_millis: 6900, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9855, kappa: 0.9008, kb_relative_information_score: 31392.707, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.4715, recall: 0.9857, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3991, scimark_benchmark: 974.2014, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9957, kappa: 0.9719, kb_relative_information_score: 35347.1586, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9954, predictive_accuracy: 0.9959, prior_entropy: 0.4715, recall: 0.9959, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.2324, scimark_benchmark: 947.1781, usercpu_time_millis: 7310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.994, kappa: 0.9606, kb_relative_information_score: 30818.9192, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.3283, scimark_benchmark: 947.1781, usercpu_time_millis: 1090, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9951, kappa: 0.9682, kb_relative_information_score: 34391.6516, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.995, predictive_accuracy: 0.9954, prior_entropy: 0.4715, recall: 0.9954, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.239, scimark_benchmark: 906.5979, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.8937, kappa: 0.0796, kb_relative_information_score: 9489.8429, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9246, predictive_accuracy: 0.9261, prior_entropy: 0.4715, recall: 0.9261, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0097, scimark_benchmark: 730.6551, usercpu_time_millis: 8580, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 6470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.8937, kappa: 0.0796, kb_relative_information_score: 9489.8429, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9246, predictive_accuracy: 0.9261, prior_entropy: 0.4715, recall: 0.9261, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0097, scimark_benchmark: 934.5964, usercpu_time_millis: 7500, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 5800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 938.1282, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 903.2737, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9948, kappa: 0.9664, kb_relative_information_score: 34712.4815, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9947, predictive_accuracy: 0.9951, prior_entropy: 0.4715, recall: 0.9951, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.2405, scimark_benchmark: 941.4991, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9957, kappa: 0.9719, kb_relative_information_score: 35347.1586, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9954, predictive_accuracy: 0.9959, prior_entropy: 0.4715, recall: 0.9959, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.2324, scimark_benchmark: 941.3057, usercpu_time_millis: 7630, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.994, kappa: 0.9606, kb_relative_information_score: 30818.9192, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.3283, scimark_benchmark: 936.3213, usercpu_time_millis: 990, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9964, kappa: 0.9771, kb_relative_information_score: 31598.7153, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9962, predictive_accuracy: 0.9967, prior_entropy: 0.4715, recall: 0.9967, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2807, scimark_benchmark: 941.4991, usercpu_time_millis: 59810, usercpu_time_millis_testing: 25950, usercpu_time_millis_training: 33860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9965, kappa: 0.978, kb_relative_information_score: 31693.1165, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9963, predictive_accuracy: 0.9968, prior_entropy: 0.4715, recall: 0.9968, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.2805, scimark_benchmark: 932.438, usercpu_time_millis: 30570, usercpu_time_millis_testing: 13310, usercpu_time_millis_training: 17260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9962, kappa: 0.9758, kb_relative_information_score: 31602.9421, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.996, predictive_accuracy: 0.9965, prior_entropy: 0.4715, recall: 0.9965, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.2844, scimark_benchmark: 917.2109, usercpu_time_millis: 12500, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 8930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9959, kappa: 0.9736, kb_relative_information_score: 31406.3875, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9957, predictive_accuracy: 0.9962, prior_entropy: 0.4715, recall: 0.9962, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.056, root_relative_squared_error: 0.2939, scimark_benchmark: 936.8729, usercpu_time_millis: 5600, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 4410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9949, kappa: 0.9668, kb_relative_information_score: 30831.3293, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9947, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.3133, scimark_benchmark: 936.7184, usercpu_time_millis: 3070, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9876, kappa: 0.9173, kb_relative_information_score: 28551.4858, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.4715, recall: 0.9878, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.4218, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9114, kappa: 0.3271, kb_relative_information_score: 22027.5631, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9069, predictive_accuracy: 0.9293, prior_entropy: 0.4715, recall: 0.9293, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.6399, scimark_benchmark: 936.7286, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9114, kappa: 0.3271, kb_relative_information_score: 22027.5631, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9069, predictive_accuracy: 0.9293, prior_entropy: 0.4715, recall: 0.9293, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.6399, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9114, kappa: 0.3271, kb_relative_information_score: 22027.5631, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9069, predictive_accuracy: 0.9293, prior_entropy: 0.4715, recall: 0.9293, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.6399, scimark_benchmark: 940.0055, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9138, kappa: 0.3478, kb_relative_information_score: 22221.0809, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9099, predictive_accuracy: 0.9303, prior_entropy: 0.4715, recall: 0.9303, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.6415, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9479, kappa: 0.7147, kb_relative_information_score: 20480.6006, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9496, predictive_accuracy: 0.9539, prior_entropy: 0.4715, recall: 0.9539, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.766, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8858, kb_relative_information_score: 8244.1634, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, 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: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1332.9478, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9957, kappa: 0.9719, kb_relative_information_score: 35347.1586, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9954, predictive_accuracy: 0.9959, prior_entropy: 0.4715, recall: 0.9959, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.2324, scimark_benchmark: 1317.6232, usercpu_time_millis: 12730, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 12500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.994, kappa: 0.9606, kb_relative_information_score: 30818.9192, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.3283, scimark_benchmark: 1313.8988, usercpu_time_millis: 820, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9912, kappa: 0.94, kb_relative_information_score: 33953.86, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.4715, recall: 0.9912, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.3318, scimark_benchmark: 1322.0065, usercpu_time_millis: 640, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9951, kappa: 0.9682, kb_relative_information_score: 34391.6516, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.995, predictive_accuracy: 0.9954, prior_entropy: 0.4715, recall: 0.9954, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.239, scimark_benchmark: 1346.2927, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1335.2357, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 1351.1238, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.8937, kappa: 0.0796, kb_relative_information_score: 9489.8429, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9246, predictive_accuracy: 0.9261, prior_entropy: 0.4715, recall: 0.9261, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0097, scimark_benchmark: 1359.7293, usercpu_time_millis: 6030, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.994, kappa: 0.9606, kb_relative_information_score: 30818.9192, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.3283, scimark_benchmark: 1274.7011, usercpu_time_millis: 790, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9957, kappa: 0.9719, kb_relative_information_score: 35347.1586, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9954, predictive_accuracy: 0.9959, prior_entropy: 0.4715, recall: 0.9959, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.2324, scimark_benchmark: 1325.5735, usercpu_time_millis: 13380, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 13150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1322.7257, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 938.0414, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1297.2338, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.994, kappa: 0.9606, kb_relative_information_score: 30818.9192, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9938, predictive_accuracy: 0.9942, prior_entropy: 0.4715, recall: 0.9942, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.3283, scimark_benchmark: 942.9708, usercpu_time_millis: 1020, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 1384.4422, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 1341.5795, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9855, kappa: 0.9008, kb_relative_information_score: 31392.707, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.4715, recall: 0.9857, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3991, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1288.1375, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1312.2688, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1312.2688, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 1329.8937, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9881, kappa: 0.9193, kb_relative_information_score: 32262.9124, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9879, predictive_accuracy: 0.9884, prior_entropy: 0.4715, recall: 0.9884, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.3657, scimark_benchmark: 1354.7191, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9929, kappa: 0.9533, kb_relative_information_score: 34348.0645, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9928, predictive_accuracy: 0.9932, prior_entropy: 0.4715, recall: 0.9932, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.2921, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9394, kappa: 0.5528, kb_relative_information_score: 20173.6436, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9381, predictive_accuracy: 0.9482, prior_entropy: 0.4715, recall: 0.9482, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.7527, scimark_benchmark: 1151.6869, usercpu_time_millis: 86990, usercpu_time_millis_testing: 86990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.995, kappa: 0.9671, kb_relative_information_score: 35349.307, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9948, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.2376, scimark_benchmark: 1345.3152, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9954, kappa: 0.9699, kb_relative_information_score: 35507.2892, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9951, predictive_accuracy: 0.9956, prior_entropy: 0.4715, recall: 0.9956, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2312, scimark_benchmark: 892.0148, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.995, kappa: 0.9674, kb_relative_information_score: 34715.4968, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.9948, predictive_accuracy: 0.9952, prior_entropy: 0.4715, recall: 0.9952, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.2371, scimark_benchmark: 1329.8902, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9951, kappa: 0.9682, kb_relative_information_score: 34391.6516, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0729, number_of_instances: 37720, precision: 0.995, predictive_accuracy: 0.9954, prior_entropy: 0.4715, recall: 0.9954, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.239, scimark_benchmark: 1320.9026, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,

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