OpenML
Supervised Classification on prnn_crabs

Supervised Classification on prnn_crabs

Task 3539 Supervised Classification prnn_crabs 546 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 188, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3464, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.6439, kappa: 0.29, kb_relative_information_score: 57.7124, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6468, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 106.0504, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7318, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7097, kappa: 0.43, kb_relative_information_score: 50.569, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7319, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9015, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 128.489, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 140.0978, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5809, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 188, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3464, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 137.1457, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5291, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 154.4917, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3573, scimark_benchmark: 945.6228, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 106.0504, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7318, scimark_benchmark: 941.3057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 1051.249, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 189.225, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1382, scimark_benchmark: 851.2074, usercpu_time_millis: 1630, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 189.3039, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.069, root_relative_squared_error: 0.138, scimark_benchmark: 944.0133, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 189.2067, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1355, scimark_benchmark: 896.2181, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 189.379, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1463, scimark_benchmark: 908.4147, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 188.7323, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.1672, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 77.1842, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 77.1842, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 77.1842, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 75.9704, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8299, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7643, kappa: 0.53, kb_relative_information_score: 67.399, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7682, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8301, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.7224, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5053, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9049, kappa: 0.81, kb_relative_information_score: 152.8093, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.906, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5662, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8099, kappa: 0.62, kb_relative_information_score: 126.4956, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7528, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.81, kappa: 0.62, kb_relative_information_score: 115.467, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8101, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 97.4781, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.861, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.0849, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5255, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 78.9971, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9107, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7167, scimark_benchmark: 905.2109, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.6546, kappa: 0.31, kb_relative_information_score: 40.7935, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6558, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8873, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7097, kappa: 0.43, kb_relative_information_score: 50.569, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7319, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9015, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 128.489, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494, scimark_benchmark: 919.6941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 140.0978, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5809, scimark_benchmark: 941.6062, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 188, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3464, scimark_benchmark: 946.8777, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.6439, kappa: 0.29, kb_relative_information_score: 57.7124, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6468, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788, scimark_benchmark: 938.838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 106.0504, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7318, scimark_benchmark: 1346.4374, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 128.489, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 194.9725, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1779, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 140.0978, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5809, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 163.4865, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3511, scimark_benchmark: 1325.1654, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 188, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3464, scimark_benchmark: 1334.9442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 188, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3464, scimark_benchmark: 1348.2804, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.6439, kappa: 0.29, kb_relative_information_score: 57.7124, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6468, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 1347.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6512, kappa: 0.31, kb_relative_information_score: 51.7087, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6622, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9369, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 106.0504, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7318, scimark_benchmark: 1303.5632, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 1303.9481, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 128.489, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5494, scimark_benchmark: 1360.6367,

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