Task
Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 3732 Supervised Classification fri_c4_100_25 562 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.0254, build_memory: 3886308104, f_measure: 0.7983, kappa: 0.5935, kb_relative_information_score: 40.0945, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.765, scimark_benchmark: 945.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 1341.5795, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1281.7531, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1346.1568, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1324.6442, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1316.6741, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1318.6467, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 1353.0836,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7473, kappa: 0.491, kb_relative_information_score: 49.5355, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7522, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0032, usercpu_time_millis: 5.281, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7579, kappa: 0.5122, kb_relative_information_score: 51.5534, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7615, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9829, usercpu_time_millis: 2.537, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 1.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7404, kappa: 0.48, kb_relative_information_score: 47.5176, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7432, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0231, usercpu_time_millis: 2.334, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6497, kappa: 0.2944, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6495, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5896, kappa: 0.1734, kb_relative_information_score: 17.2497, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.9956, recall: 0.59, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2847, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6604, kappa: 0.3222, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6656, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, usercpu_time_millis: 5.311, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 4.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6905, kappa: 0.379, kb_relative_information_score: 37.4283, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6922, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1171, usercpu_time_millis: 1.729, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7446, kappa: 0.4877, kb_relative_information_score: 49.5355, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7585, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0032, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6497, kappa: 0.2944, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6495, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, usercpu_time_millis: 0.732, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7974, kappa: 0.5922, kb_relative_information_score: 59.6248, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8054, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8973, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7983, kappa: 0.5935, kb_relative_information_score: 59.6248, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8973, usercpu_time_millis: 5.885, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 4.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6497, kappa: 0.2944, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6495, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 7.1603, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6205, kappa: 0.2376, kb_relative_information_score: 23.3033, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6214, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2368, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.66, kappa: 0.3156, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, usercpu_time_millis: 2.152, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6369, kappa: 0.2683, kb_relative_information_score: 27.339, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6385, predictive_accuracy: 0.64, prior_entropy: 0.9956, recall: 0.64, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2039, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6497, kappa: 0.2944, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6495, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.689, kappa: 0.373, kb_relative_information_score: 37.4283, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6892, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1171, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6205, kappa: 0.2376, kb_relative_information_score: 23.3033, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6214, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2368, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 35.4104, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.135, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.158,

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