Task
Supervised Classification on mu284

Supervised Classification on mu284

Task 4449 Supervised Classification mu284 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2813.4038, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1124, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2821.943, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1126, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4795, kappa: -0.0113, kb_relative_information_score: -32, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.4936, predictive_accuracy: 0.4944, prior_entropy: 1, recall: 0.4944, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4222, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4795, kappa: -0.0113, kb_relative_information_score: -32, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.4936, predictive_accuracy: 0.4944, prior_entropy: 1, recall: 0.4944, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4222, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2811.4004, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.0918, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9757, kappa: 0.9514, kb_relative_information_score: 2440.0025, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9759, predictive_accuracy: 0.9757, prior_entropy: 1, recall: 0.9757, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3139, scimark_benchmark: 938.191, usercpu_time_millis: 530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9961, kappa: 0.9923, kb_relative_information_score: 2789.442, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 1, recall: 0.9961, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1178, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4795, kappa: -0.0113, kb_relative_information_score: -32, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.4936, predictive_accuracy: 0.4944, prior_entropy: 1, recall: 0.4944, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4222, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4795, kappa: -0.0113, kb_relative_information_score: -32, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.4936, predictive_accuracy: 0.4944, prior_entropy: 1, recall: 0.4944, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4222, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2748.9279, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1121, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2813.4038, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1124, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2821.943, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1126, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4795, kappa: -0.0113, kb_relative_information_score: -32, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.4936, predictive_accuracy: 0.4944, prior_entropy: 1, recall: 0.4944, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4222, scimark_benchmark: 926.5462, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2811.4004, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.0918, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9757, kappa: 0.9514, kb_relative_information_score: 2440.0025, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9759, predictive_accuracy: 0.9757, prior_entropy: 1, recall: 0.9757, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3139, scimark_benchmark: 919.3788, usercpu_time_millis: 530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2748.9279, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1121, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.988, kb_relative_information_score: 2698.8367, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1, recall: 0.994, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1755, scimark_benchmark: 901.4991, usercpu_time_millis: 1390, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9866, kb_relative_information_score: 2698.66, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1, recall: 0.9933, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1783, scimark_benchmark: 933.3455, usercpu_time_millis: 480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 2697.2198, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1802, scimark_benchmark: 939.7241, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9866, kb_relative_information_score: 2702.5597, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1, recall: 0.9933, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.177, scimark_benchmark: 944.235, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9901, kappa: 0.9803, kb_relative_information_score: 2692.6481, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1, recall: 0.9901, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1942, scimark_benchmark: 930.0399, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.4443, kappa: -0.0141, kb_relative_information_score: -0.2242, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.4892, predictive_accuracy: 0.493, prior_entropy: 1, recall: 0.493, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2820, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9866, kappa: 0.9732, kb_relative_information_score: 2747.5185, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9869, predictive_accuracy: 0.9866, prior_entropy: 1, recall: 0.9866, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2056, scimark_benchmark: 1321.8321,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2811.4004, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.0918, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9757, kappa: 0.9514, kb_relative_information_score: 2440.0025, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9759, predictive_accuracy: 0.9757, prior_entropy: 1, recall: 0.9757, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3139, scimark_benchmark: 1308.685, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2821.943, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1126, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9866, kappa: 0.9732, kb_relative_information_score: 2747.5185, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9869, predictive_accuracy: 0.9866, prior_entropy: 1, recall: 0.9866, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2056, scimark_benchmark: 1331.1314,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 2795.9604, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1078, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2811.4004, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.0918, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9961, kappa: 0.9923, kb_relative_information_score: 2789.442, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 1, recall: 0.9961, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1178, scimark_benchmark: 1322.1893, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9937, kb_relative_information_score: 2748.9279, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.5, number_of_instances: 2840, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1, recall: 0.9968, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1121, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs