OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2125 Supervised Classification eucalyptus 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6201, kappa: 0.516, kb_relative_information_score: 118.0133, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6338, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7987, scimark_benchmark: 851.2074, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.3992, kappa: 0.2317, kb_relative_information_score: 68.3079, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4029, predictive_accuracy: 0.405, prior_entropy: 2.2629, recall: 0.405, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.983, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 931.771, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 974.2014, usercpu_time_millis: 1090, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 941.3847, usercpu_time_millis: 600, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5784, kappa: 0.4537, kb_relative_information_score: 119.0115, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.611, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9286, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.5318, kappa: 0.4168, kb_relative_information_score: 108.4539, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 2.2629, recall: 0.5537, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.972, scimark_benchmark: 936.3373, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 943.1009, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6201, kappa: 0.516, kb_relative_information_score: 118.0133, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6338, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7987, scimark_benchmark: 944.0133, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 730.6551, usercpu_time_millis: 930, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 930.404, usercpu_time_millis: 420, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.3992, kappa: 0.2317, kb_relative_information_score: 68.3079, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4029, predictive_accuracy: 0.405, prior_entropy: 2.2629, recall: 0.405, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.983, scimark_benchmark: 941.4991, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.5318, kappa: 0.4168, kb_relative_information_score: 108.4539, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 2.2629, recall: 0.5537, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.972, scimark_benchmark: 935.5664, usercpu_time_millis: 1570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1051.249, usercpu_time_millis: 310, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.6776, kappa: 0.594, kb_relative_information_score: 134.5615, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6931, predictive_accuracy: 0.686, prior_entropy: 2.2629, recall: 0.686, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.7311, scimark_benchmark: 937.5683, usercpu_time_millis: 32280, usercpu_time_millis_testing: 6110, usercpu_time_millis_training: 26170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.6802, kappa: 0.5939, kb_relative_information_score: 135.2317, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6942, predictive_accuracy: 0.686, prior_entropy: 2.2629, recall: 0.686, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.7341, scimark_benchmark: 931.9419, usercpu_time_millis: 16940, usercpu_time_millis_testing: 3460, usercpu_time_millis_training: 13480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.6773, kappa: 0.594, kb_relative_information_score: 134.735, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6968, predictive_accuracy: 0.686, prior_entropy: 2.2629, recall: 0.686, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.7361, scimark_benchmark: 899.0468, usercpu_time_millis: 8310, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 7040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7101, kappa: 0.6328, kb_relative_information_score: 137.5535, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.7246, predictive_accuracy: 0.7149, prior_entropy: 2.2629, recall: 0.7149, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.7237, scimark_benchmark: 930.0399, usercpu_time_millis: 3900, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.6419, kappa: 0.5506, kb_relative_information_score: 131.2341, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6557, predictive_accuracy: 0.6529, prior_entropy: 2.2629, recall: 0.6529, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.7635, scimark_benchmark: 889.4922, usercpu_time_millis: 2170, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1298, kb_relative_information_score: 0.2785, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.0837, predictive_accuracy: 0.2893, prior_entropy: 2.2629, recall: 0.2893, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3959, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.3377, kappa: 0.2912, kb_relative_information_score: 78.1447, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.2608, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8893, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.3377, kappa: 0.2912, kb_relative_information_score: 78.1447, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.2608, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8893, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.3377, kappa: 0.2912, kb_relative_information_score: 78.1447, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.2608, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8893, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.3377, kappa: 0.2912, kb_relative_information_score: 78.1447, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.2608, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8893, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.3377, kappa: 0.2912, kb_relative_information_score: 78.1447, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.2608, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8893, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1298, kb_relative_information_score: 32.4171, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.0837, predictive_accuracy: 0.2893, prior_entropy: 2.2629, recall: 0.2893, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.3467, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.6163, kappa: 0.5105, kb_relative_information_score: 120.7833, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6398, predictive_accuracy: 0.624, prior_entropy: 2.2629, recall: 0.624, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.7655, scimark_benchmark: 941.9549, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.5951, kappa: 0.4914, kb_relative_information_score: 105.7154, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6078, predictive_accuracy: 0.6074, prior_entropy: 2.2629, recall: 0.6074, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8048, scimark_benchmark: 911.442, usercpu_time_millis: 2150, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.402, kappa: 0.3425, kb_relative_information_score: 78.3195, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3544, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8628, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.3922, kappa: 0.2268, kb_relative_information_score: 71.2585, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3952, predictive_accuracy: 0.405, prior_entropy: 2.2629, recall: 0.405, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9675, scimark_benchmark: 1339.2472, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.5955, kappa: 0.494, kb_relative_information_score: 121.4671, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6127, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.8672, scimark_benchmark: 1364.991, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6201, kappa: 0.516, kb_relative_information_score: 118.0133, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6338, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7987, scimark_benchmark: 1345.7919, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.6386, kappa: 0.5378, kb_relative_information_score: 134.3953, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6442, predictive_accuracy: 0.6405, prior_entropy: 2.2629, recall: 0.6405, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7742, scimark_benchmark: 1337.4384, usercpu_time_millis: 5870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 1340.5125, usercpu_time_millis: 590, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1328.1785, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1308.6872, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1355.2638, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1404.0159, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 1318.2298, usercpu_time_millis: 560, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1347.993, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,

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