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Supervised Classification on white-clover

Supervised Classification on white-clover

Task 3501 Supervised Classification white-clover 348 runs submitted
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  • study_1 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6228, kappa: 0.2891, kb_relative_information_score: 17.4363, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.634, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0189, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.5942, kappa: 0.2671, kb_relative_information_score: 15.7153, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.633, predictive_accuracy: 0.5873, prior_entropy: 1.4097, recall: 0.5873, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.1516, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.5239, kappa: 0.087, kb_relative_information_score: 7.9253, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5115, predictive_accuracy: 0.5397, prior_entropy: 1.4097, recall: 0.5397, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9964, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6249, kappa: 0.2841, kb_relative_information_score: 13.6225, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6446, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0604, scimark_benchmark: 927.2917, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6249, kappa: 0.2841, kb_relative_information_score: 13.6225, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6446, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0604, scimark_benchmark: 947.1781, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6712, kappa: 0.363, kb_relative_information_score: 14.1317, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6903, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9077, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6228, kappa: 0.2891, kb_relative_information_score: 17.4363, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.634, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0189, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.5942, kappa: 0.2671, kb_relative_information_score: 15.7153, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.633, predictive_accuracy: 0.5873, prior_entropy: 1.4097, recall: 0.5873, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.1516, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.5239, kappa: 0.087, kb_relative_information_score: 7.9253, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5115, predictive_accuracy: 0.5397, prior_entropy: 1.4097, recall: 0.5397, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9964, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6249, kappa: 0.2841, kb_relative_information_score: 13.6225, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6446, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0604, scimark_benchmark: 934.695, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6712, kappa: 0.363, kb_relative_information_score: 14.1317, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6903, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9077, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.6839, kappa: 0.3847, kb_relative_information_score: 18.0142, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.7141, predictive_accuracy: 0.7143, prior_entropy: 1.4097, recall: 0.7143, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.8567, scimark_benchmark: 943.6618, usercpu_time_millis: 1390, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7027, kappa: 0.4235, kb_relative_information_score: 19.2798, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.7064, predictive_accuracy: 0.7143, prior_entropy: 1.4097, recall: 0.7143, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.8369, scimark_benchmark: 942.2392, usercpu_time_millis: 670, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7166, kappa: 0.4505, kb_relative_information_score: 17.3011, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.7213, predictive_accuracy: 0.7302, prior_entropy: 1.4097, recall: 0.7302, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8705, scimark_benchmark: 922.613, usercpu_time_millis: 420, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.647, kappa: 0.3084, kb_relative_information_score: 16.2843, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6524, predictive_accuracy: 0.6667, prior_entropy: 1.4097, recall: 0.6667, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8858, scimark_benchmark: 936.8729, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7202, kappa: 0.4605, kb_relative_information_score: 17.8848, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.7236, predictive_accuracy: 0.7302, prior_entropy: 1.4097, recall: 0.7302, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8714, scimark_benchmark: 936.7184, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, f_measure: 0.4539, kb_relative_information_score: -0.3208, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0027, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.4617, kappa: -0.0328, kb_relative_information_score: -2.9444, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.4372, predictive_accuracy: 0.5714, prior_entropy: 1.4097, recall: 0.5714, relative_absolute_error: 1.1367, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.0689, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.4617, kappa: -0.0328, kb_relative_information_score: -2.9444, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.4372, predictive_accuracy: 0.5714, prior_entropy: 1.4097, recall: 0.5714, relative_absolute_error: 1.1367, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.0689, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.4906, kappa: 0.0162, kb_relative_information_score: -2.3259, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.491, predictive_accuracy: 0.5873, prior_entropy: 1.4097, recall: 0.5873, relative_absolute_error: 1.0988, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.39, root_relative_squared_error: 1.0695, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.4906, kappa: 0.0162, kb_relative_information_score: -2.3901, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.491, predictive_accuracy: 0.5873, prior_entropy: 1.4097, recall: 0.5873, relative_absolute_error: 1.0995, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3902, root_relative_squared_error: 1.0701, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.522, kappa: 0.0838, kb_relative_information_score: 0.7796, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.5029, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 1.0279, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3969, root_relative_squared_error: 1.0886, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 17.8206, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.972, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6249, kappa: 0.2841, kb_relative_information_score: 13.6225, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6446, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0604, scimark_benchmark: 1325.4787, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6712, kappa: 0.363, kb_relative_information_score: 14.1317, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6903, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9077, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6979, kappa: 0.4414, kb_relative_information_score: 23.9719, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.7021, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3777, root_relative_squared_error: 1.0358, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.5942, kappa: 0.2671, kb_relative_information_score: 15.7153, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.633, predictive_accuracy: 0.5873, prior_entropy: 1.4097, recall: 0.5873, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.1516, scimark_benchmark: 1322.3407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.6227, kappa: 0.2766, kb_relative_information_score: 21.0142, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6171, predictive_accuracy: 0.6349, prior_entropy: 1.4097, recall: 0.6349, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9812, scimark_benchmark: 1320.2063, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 17.8206, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.972, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 1332.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6249, kappa: 0.2841, kb_relative_information_score: 13.6225, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6446, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0604, scimark_benchmark: 1335.2357, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6712, kappa: 0.363, kb_relative_information_score: 14.1317, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6903, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9077, scimark_benchmark: 1344.3409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6228, kappa: 0.2891, kb_relative_information_score: 17.4363, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.634, predictive_accuracy: 0.619, prior_entropy: 1.4097, recall: 0.619, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0189, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 1348.1311, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 12.9988, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 1.4097, recall: 0.6032, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.2215, scimark_benchmark: 1370.3901, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6706, kappa: 0.3646, kb_relative_information_score: 19.9448, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6664, predictive_accuracy: 0.6825, prior_entropy: 1.4097, recall: 0.6825, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.351, root_relative_squared_error: 0.9624, scimark_benchmark: 1357.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6712, kappa: 0.363, kb_relative_information_score: 14.1317, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2721, number_of_instances: 63, precision: 0.6903, predictive_accuracy: 0.6984, prior_entropy: 1.4097, recall: 0.6984, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3647, root_mean_squared_error: 0.331, root_relative_squared_error: 0.9077, scimark_benchmark: 1327.6367, 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