OpenML
Supervised Classification on aids

Supervised Classification on aids

Task 3503 Supervised Classification aids 498 runs submitted
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  • study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.6779, kappa: 0.36, kb_relative_information_score: 16.0805, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6847, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9621, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 904.6764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.0139, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0296, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 936.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 927.2917, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.5593, kappa: 0.12, kb_relative_information_score: 6, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5604, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.5593, kappa: 0.12, kb_relative_information_score: 6, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5604, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.6779, kappa: 0.36, kb_relative_information_score: 16.0805, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6847, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9621, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 2.0139, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0296, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 934.695, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6667, kappa: 0.36, kb_relative_information_score: 7.4054, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7143, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.923, scimark_benchmark: 943.6618, usercpu_time_millis: 350, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.6486, kappa: 0.32, kb_relative_information_score: 6.4851, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6838, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, f_measure: 0.6073, kappa: 0.24, kb_relative_information_score: 7.1953, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6379, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9287, scimark_benchmark: 922.613, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6753, kappa: 0.36, kb_relative_information_score: 7.532, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.691, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9357, scimark_benchmark: 930.0399, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.5942, kappa: 0.2, kb_relative_information_score: 5.6555, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6061, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9554, scimark_benchmark: 936.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.6532, kappa: 0.32, kb_relative_information_score: 10.733, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6736, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.6532, kappa: 0.32, kb_relative_information_score: 10.4927, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6736, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.6532, kappa: 0.32, kb_relative_information_score: 10.0795, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6736, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0053, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.6532, kappa: 0.32, kb_relative_information_score: 9.5543, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6736, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0095, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.5758, kappa: 0.16, kb_relative_information_score: 7.5929, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5833, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0398, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.6588, kappa: 0.32, kb_relative_information_score: 15.9784, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6623, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.0818, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.5798, kappa: 0.16, kb_relative_information_score: 8.9726, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5729, root_relative_squared_error: 1.1457, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5785, kappa: 0.16, kb_relative_information_score: 7.7942, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5812, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.1618, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3272, f_measure: 0.4663, kappa: -0.04, kb_relative_information_score: 1.6719, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4777, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0328, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4833, kb_relative_information_score: 1.5667, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0629, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.416, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -4.1376, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.151, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3776, f_measure: 0.3798, kappa: -0.24, kb_relative_information_score: -3.0637, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.3798, predictive_accuracy: 0.38, prior_entropy: 1, recall: 0.38, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1184, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2904, f_measure: 0.2573, kappa: -0.48, kb_relative_information_score: -9.7049, mean_absolute_error: 0.5781, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.2565, predictive_accuracy: 0.26, prior_entropy: 1, recall: 0.26, relative_absolute_error: 1.1562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.6156, kappa: 0.32, kb_relative_information_score: 9.8577, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7976, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.64, kappa: 0.28, kb_relative_information_score: 10.1549, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1317.5857,

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