OpenML
Supervised Classification on fri_c3_500_5

Supervised Classification on fri_c3_500_5

Task 3615 Supervised Classification fri_c3_500_5 566 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3626, kb_relative_information_score: -0.0319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6373, kappa: 0.3085, kb_relative_information_score: 85.6185, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6833, predictive_accuracy: 0.648, prior_entropy: 0.9981, recall: 0.648, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9389, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8499, kappa: 0.699, kb_relative_information_score: 277.8497, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9981, recall: 0.85, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.67, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.864, kappa: 0.7275, kb_relative_information_score: 346.6516, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9981, recall: 0.864, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.634, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3626, kb_relative_information_score: -0.0319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8459, kappa: 0.691, kb_relative_information_score: 250.0976, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9981, recall: 0.846, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6845, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3626, kb_relative_information_score: 24.1526, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6885, root_relative_squared_error: 1.3788, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8338, kappa: 0.6665, kb_relative_information_score: 325.941, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 0.9981, recall: 0.834, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7876, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8638, kappa: 0.7266, kb_relative_information_score: 193.361, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8645, predictive_accuracy: 0.864, prior_entropy: 0.9981, recall: 0.864, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7294, scimark_benchmark: 918.4924, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7132, kappa: 0.4259, kb_relative_information_score: 73.2132, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7189, predictive_accuracy: 0.716, prior_entropy: 0.9981, recall: 0.716, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.905, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9058, kappa: 0.8111, kb_relative_information_score: 405.6274, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9066, predictive_accuracy: 0.906, prior_entropy: 0.9981, recall: 0.906, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.614, scimark_benchmark: 917.7039, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3626, kb_relative_information_score: 24.1526, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6885, root_relative_squared_error: 1.3788, scimark_benchmark: 942.1229, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9059, kappa: 0.8113, kb_relative_information_score: 403.884, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9061, predictive_accuracy: 0.906, prior_entropy: 0.9981, recall: 0.906, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5943, scimark_benchmark: 933.8635, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9059, kappa: 0.8112, kb_relative_information_score: 405.0867, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9062, predictive_accuracy: 0.906, prior_entropy: 0.9981, recall: 0.906, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6141, scimark_benchmark: 943.6956, usercpu_time_millis: 710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9099, kappa: 0.8193, kb_relative_information_score: 409.8893, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9101, predictive_accuracy: 0.91, prior_entropy: 0.9981, recall: 0.91, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5962, scimark_benchmark: 831.3777, usercpu_time_millis: 1660, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.88, kappa: 0.7592, kb_relative_information_score: 378.7456, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6641, scimark_benchmark: 927.0753, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6624, kappa: 0.3331, kb_relative_information_score: 85.7661, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6743, predictive_accuracy: 0.664, prior_entropy: 0.9981, recall: 0.664, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9466, scimark_benchmark: 917.1386, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.892, kappa: 0.7835, kb_relative_information_score: 386.2386, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9981, recall: 0.892, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.608, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8356, kappa: 0.67, kb_relative_information_score: 292.7073, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 0.9981, recall: 0.836, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.6977, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3626, kb_relative_information_score: 24.1526, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6885, root_relative_squared_error: 1.3788, scimark_benchmark: 943.6956, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6807, kappa: 0.3685, kb_relative_information_score: 180.7581, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.682, prior_entropy: 0.9981, recall: 0.682, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1294, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, build_cpu_time: 0.0927, build_memory: 1608403028.8, f_measure: 0.6602, kappa: 0.3204, kb_relative_information_score: 93.3033, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6618, predictive_accuracy: 0.66, prior_entropy: 0.9981, recall: 0.66, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9364, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, build_cpu_time: 0.1162, build_memory: 1784763599.2, f_measure: 0.6602, kappa: 0.3204, kb_relative_information_score: 93.3033, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6618, predictive_accuracy: 0.66, prior_entropy: 0.9981, recall: 0.66, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9364, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, build_cpu_time: 0.09, build_memory: 1612144798.4, f_measure: 0.6602, kappa: 0.3204, kb_relative_information_score: 93.3033, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6618, predictive_accuracy: 0.66, prior_entropy: 0.9981, recall: 0.66, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9364, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, build_cpu_time: 0.1087, build_memory: 843961877.6, f_measure: 0.6602, kappa: 0.3204, kb_relative_information_score: 92.9125, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6618, predictive_accuracy: 0.66, prior_entropy: 0.9981, recall: 0.66, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9364, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, build_cpu_time: 0.03, build_memory: 478320257.6, f_measure: 0.882, kappa: 0.7632, kb_relative_information_score: 377.6508, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9981, recall: 0.882, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6278, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 0.0877, build_memory: 691534012, f_measure: 0.8999, kappa: 0.7991, kb_relative_information_score: 393.6556, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 0.9981, recall: 0.9, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5969, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, build_cpu_time: 0.1173, build_memory: 390615734.4, f_measure: 0.906, kappa: 0.8114, kb_relative_information_score: 403.1958, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.9981, recall: 0.906, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5886, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 0.2223, build_memory: 74901770.4, f_measure: 0.912, kappa: 0.8234, kb_relative_information_score: 408.7037, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9981, recall: 0.912, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5782, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 0.2346, build_memory: 129303589.6, f_measure: 0.912, kappa: 0.8234, kb_relative_information_score: 408.7037, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9981, recall: 0.912, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5782, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, build_cpu_time: 0.327, build_memory: 669449452, f_measure: 0.914, kappa: 0.8275, kb_relative_information_score: 412.7513, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 0.9981, recall: 0.914, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5657, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 0.0052, build_memory: 339641357.6, f_measure: 0.83, kappa: 0.6591, kb_relative_information_score: 329.3325, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9981, recall: 0.83, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8257, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 0.0064, build_memory: 28518727.2, f_measure: 0.83, kappa: 0.6591, kb_relative_information_score: 329.3325, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9981, recall: 0.83, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8257, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 0.0043, build_memory: 1516923369.6, f_measure: 0.83, kappa: 0.6591, kb_relative_information_score: 329.3325, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9981, recall: 0.83, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8257, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 0.0036, build_memory: 2429901942.4, f_measure: 0.83, kappa: 0.6591, kb_relative_information_score: 329.3325, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9981, recall: 0.83, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8257, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, build_cpu_time: 0.0034, build_memory: 595245700, f_measure: 0.83, kappa: 0.6591, kb_relative_information_score: 329.3325, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9981, recall: 0.83, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8257, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.1302, build_memory: 730926516, f_measure: 0.8859, kappa: 0.7711, kb_relative_information_score: 344.8648, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9981, recall: 0.886, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5606, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 0.7517, build_memory: 805277283.2, f_measure: 0.894, kappa: 0.7875, kb_relative_information_score: 394.6735, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6346, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, build_cpu_time: 0.3931, build_memory: 1072751254.4, f_measure: 0.89, kappa: 0.7793, kb_relative_information_score: 390.4086, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9981, recall: 0.89, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6412, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, build_cpu_time: 0.1867, build_memory: 1151925975.2, f_measure: 0.88, kappa: 0.7592, kb_relative_information_score: 378.7456, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6641, scimark_benchmark: 937.2031,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, build_cpu_time: 0.0021, build_memory: 1355938109.6, f_measure: 0.8356, kappa: 0.67, kb_relative_information_score: 292.7073, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 0.9981, recall: 0.836, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.6977, scimark_benchmark: 947.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 0.1161, build_memory: 736252510.4, f_measure: 0.8939, kappa: 0.7872, kb_relative_information_score: 345.3836, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.555, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, build_cpu_time: 0.0191, build_memory: 119406365.6, f_measure: 0.848, kappa: 0.695, kb_relative_information_score: 309.6059, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9981, recall: 0.848, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7278, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, build_cpu_time: 0.0003, build_memory: 536758232, f_measure: 0.8858, kappa: 0.7709, kb_relative_information_score: 384.3142, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9981, recall: 0.886, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6747, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1975, build_memory: 627777169.6, f_measure: 0.3626, kb_relative_information_score: 24.1526, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6885, root_relative_squared_error: 1.3788, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, build_cpu_time: 0.0087, build_memory: 802391142.4, f_measure: 0.6437, kappa: 0.2908, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6488, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, build_cpu_time: 0.0282, build_memory: 596011425.6, f_measure: 0.6807, kappa: 0.3685, kb_relative_information_score: 180.7581, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.682, prior_entropy: 0.9981, recall: 0.682, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1294, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, build_cpu_time: 0.0067, build_memory: 810659681.6, f_measure: 0.6642, kappa: 0.3276, kb_relative_information_score: 91.7226, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.665, predictive_accuracy: 0.664, prior_entropy: 0.9981, recall: 0.664, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9228, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 0.0009, build_memory: 314169733.6, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 0.0008, build_memory: 302714240, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, build_cpu_time: 0.0169, build_memory: 250639989.6, f_measure: 0.8061, kappa: 0.6112, kb_relative_information_score: 215.1237, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8062, predictive_accuracy: 0.806, prior_entropy: 0.9981, recall: 0.806, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7493, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, build_cpu_time: 0.0012, build_memory: 468126827.2, f_measure: 0.7659, kappa: 0.5302, kb_relative_information_score: 265.0841, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7659, predictive_accuracy: 0.766, prior_entropy: 0.9981, recall: 0.766, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9688, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, build_cpu_time: 0.0018, build_memory: 739324795.2, f_measure: 0.7659, kappa: 0.5302, kb_relative_information_score: 265.0841, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7659, predictive_accuracy: 0.766, prior_entropy: 0.9981, recall: 0.766, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9688, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, build_cpu_time: 0.0003, build_memory: 183672836.8, f_measure: 0.3626, kb_relative_information_score: -0.0319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, build_cpu_time: 0.0002, build_memory: 1058278955.2, f_measure: 0.3626, kb_relative_information_score: -0.0319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, build_cpu_time: 0.0002, build_memory: 830666656, f_measure: 0.3626, kb_relative_information_score: -0.0319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 946.9694,

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