Task
Supervised Classification on meta_all.arff

Supervised Classification on meta_all.arff

Task 2352 Supervised Classification meta_all.arff 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 851.2074, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 945.6228, usercpu_time_millis: 1110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 917.5013, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6312, kappa: 0.3631, kb_relative_information_score: 4.6493, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7194, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.294, root_relative_squared_error: 1.0074, scimark_benchmark: 933.3455, usercpu_time_millis: 2890, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.4831, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9963, scimark_benchmark: 943.6618, usercpu_time_millis: 1570, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6205, kappa: 0.3054, kb_relative_information_score: 4.5858, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6611, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2968, root_relative_squared_error: 1.0168, scimark_benchmark: 896.2424, usercpu_time_millis: 920, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6122, kappa: 0.3077, kb_relative_information_score: 5.0274, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6524, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2939, root_relative_squared_error: 1.0068, scimark_benchmark: 939.7883, usercpu_time_millis: 360, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6007, kappa: 0.266, kb_relative_information_score: 4.6231, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6161, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.0671, scimark_benchmark: 938.3115, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: -1.1747, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2998, root_relative_squared_error: 1.0272, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6145, kappa: 0.2069, kb_relative_information_score: 1.9714, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5507, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0469, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.5565, kappa: 0.2263, kb_relative_information_score: 5.1087, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6416, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.317, root_relative_squared_error: 1.086, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.5565, kappa: 0.2333, kb_relative_information_score: 4.4719, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6416, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3043, root_relative_squared_error: 1.0425, scimark_benchmark: 936.7184, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5708, kb_relative_information_score: 0.1619, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3016, root_relative_squared_error: 1.0332, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 926.4745,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 946.6409, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 1339.4412, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 1317.5348, usercpu_time_millis: 1190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6085, kappa: 0.3689, kb_relative_information_score: 7.288, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6962, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2373, scimark_benchmark: 1319.688, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.5435, kappa: 0.1085, kb_relative_information_score: 0.74, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5362, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 1.082, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3413, root_relative_squared_error: 1.1692, scimark_benchmark: 1339.5666, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6606, kappa: 0.3784, kb_relative_information_score: 6.8462, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7759, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0926, scimark_benchmark: 1346.0226, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1316.178, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1318.9519, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1320.8688, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5668, kappa: 0.0961, kb_relative_information_score: 1.2913, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0709, scimark_benchmark: 1330.4755, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1286.0816, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.5668, kappa: 0.1191, kb_relative_information_score: 1.1401, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5314, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.181, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1373.7859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.5913, kappa: 0.193, kb_relative_information_score: 4.9472, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6418, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.1321, scimark_benchmark: 1274.7011, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1278.9821, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4392, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.0785, scimark_benchmark: 1353.3951, usercpu_time_millis: 380, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5708, kb_relative_information_score: 6.3365, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0912, scimark_benchmark: 1314.0283, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 4.1899, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9835, scimark_benchmark: 1260.1387, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.561, kappa: 0.1116, kb_relative_information_score: 2.4661, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5242, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0788, scimark_benchmark: 1322.7257,

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