OpenML
Supervised Classification on aids

Supervised Classification on aids

Task 3064 Supervised Classification aids 369 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 3.4324, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 4, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 3.4324, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6071, kappa: 0.3333, kb_relative_information_score: 4, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.8125, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -0.6419, mean_absolute_error: 0.5147, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0357, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 2.0629, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 5.3421, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.6912, kappa: 0.3939, kb_relative_information_score: 1.0132, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.744, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0129, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.5678, kappa: 0.0968, kb_relative_information_score: 2.8679, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5774, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0087, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -4.2104, mean_absolute_error: 0.6185, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3146, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -3.6911, mean_absolute_error: 0.6003, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2582, scimark_benchmark: 936.3373, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3833, f_measure: 0.3849, kappa: -0.25, kb_relative_information_score: -1.1932, mean_absolute_error: 0.5309, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.4063, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0942, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -0.6419, mean_absolute_error: 0.5147, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0357, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 2.0629, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 5.3421, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 906.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 919.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -4.2104, mean_absolute_error: 0.6185, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3146, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.6912, kappa: 0.3939, kb_relative_information_score: 1.0132, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.744, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0129, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.5678, kappa: 0.0968, kb_relative_information_score: 2.8679, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5774, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0087, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2417, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -3.6911, mean_absolute_error: 0.6003, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.2006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6291, root_relative_squared_error: 1.2582, scimark_benchmark: 935.5664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3833, f_measure: 0.3849, kappa: -0.25, kb_relative_information_score: -1.1932, mean_absolute_error: 0.5309, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.4063, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0942, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 3.5341, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7004, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.436, root_relative_squared_error: 0.872, scimark_benchmark: 906.0979, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 3.1137, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7004, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 901.4991, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 3.1705, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7004, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.885, scimark_benchmark: 939.7241, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.75, kappa: 0.4667, kb_relative_information_score: 3.152, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9067, scimark_benchmark: 914.3583, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.6913, kappa: 0.3548, kb_relative_information_score: 2.516, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.7004, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9416, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6045, kappa: 0.1429, kb_relative_information_score: 3.2374, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6042, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.123, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6045, kappa: 0.1429, kb_relative_information_score: 3.2374, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6042, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.123, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6045, kappa: 0.1429, kb_relative_information_score: 3.2374, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6042, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.123, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6045, kappa: 0.1429, kb_relative_information_score: 3.2374, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6042, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.123, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6045, kappa: 0.1429, kb_relative_information_score: 3.2374, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6042, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.123, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6807, kappa: 0.3103, kb_relative_information_score: 2.0629, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6795, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1319.4538,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.5678, kappa: 0.0968, kb_relative_information_score: 2.8679, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.5774, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0087, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3833, f_measure: 0.3849, kappa: -0.25, kb_relative_information_score: -1.1932, mean_absolute_error: 0.5309, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.4063, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0942, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.7364, kappa: 0.4286, kb_relative_information_score: 5.3421, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2045, kb_relative_information_score: -4, mean_absolute_error: 0.625, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1406, predictive_accuracy: 0.375, prior_entropy: 1, recall: 0.375, relative_absolute_error: 1.25, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7906, root_relative_squared_error: 1.5811, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.125, f_measure: 0.1716, kappa: -0.4857, kb_relative_information_score: -6.6276, mean_absolute_error: 0.6869, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.1932, predictive_accuracy: 0.1875, prior_entropy: 1, recall: 0.1875, relative_absolute_error: 1.3737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 1326.2019,

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